Abstract

Context: Altered vitamin D and calcium homeostasis may play a role in the development of type 2 diabetes mellitus (type 2 DM).

Evidence Acquisition and Analyses: MEDLINE review was conducted through January 2007 for observational studies and clinical trials in adults with outcomes related to glucose homeostasis. When data were available to combine, meta-analyses were performed, and summary odds ratios (OR) are presented.

Evidence Synthesis: Observational studies show a relatively consistent association between low vitamin D status, calcium or dairy intake, and prevalent type 2 DM or metabolic syndrome [OR (95% confidence interval): type 2 DM prevalence, 0.36 (0.16–0.80) among nonblacks for highest vs. lowest 25-hydroxyvitamin D; metabolic syndrome prevalence, 0.71 (0.57–0.89) for highest vs. lowest dairy intake]. There are also inverse associations with incident type 2 DM or metabolic syndrome [OR (95% confidence interval): type 2 DM incidence, 0.82 (0.72–0.93) for highest vs. lowest combined vitamin D and calcium intake; 0.86 (0.79–0.93) for highest vs. lowest dairy intake]. Evidence from trials with vitamin D and/or calcium supplementation suggests that combined vitamin D and calcium supplementation may have a role in the prevention of type 2 DM only in populations at high risk (i.e. glucose intolerance). The available evidence is limited because most observational studies are cross-sectional and did not adjust for important confounders, whereas intervention studies were short in duration, included few subjects, used a variety of formulations of vitamin D and calcium, or did post hoc analyses.

Conclusions: Vitamin D and calcium insufficiency may negatively influence glycemia, whereas combined supplementation with both nutrients may be beneficial in optimizing glucose metabolism.

THE INCIDENCE OF type 2 diabetes mellitus (type 2 DM) is increasing at an alarming rate both nationally and worldwide, with more than 1 million new cases per year diagnosed in the United States alone (1). Diabetes is the fifth leading cause of death in the United States, and it is also a major cause of significant morbidity. Although our current methods of treating type 2 DM and its complications have improved, prevention of the disease is preferable. Indeed, epidemiological data suggest that nine of 10 cases of type 2 DM could be attributed to habits and forms of modifiable behavior (2). Potentially modifiable environmental risk factors for type 2 DM have been identified, the major one being obesity. Although weight loss (achieved by any means) has been shown to be successful in delaying type 2 DM, it is difficult to achieve and maintain long term. Therefore, identification of environmental and easily modified risk factors is urgently needed to prevent development of type 2 DM in the 41 million Americans who are at risk of the disease (3).

The major and most well-known function of vitamin D is to maintain calcium and phosphorus homeostasis and promote bone mineralization. However, recent evidence suggests that vitamin D and calcium homeostasis may also be important for a variety of nonskeletal outcomes including neuromuscular function and falls, psoriasis, multiple sclerosis, and colorectal and prostate cancer (4, 5). Based on basic and animal studies, vitamin D and calcium have also been suspected as modifiers of diabetes risk. Vitamin D insufficiency has long been suspected as a risk factor for type 1 diabetes based on animal and human observational studies (6). More recently, there is accumulating evidence to suggest that altered vitamin D and calcium homeostasis may also play a role in the development of type 2 DM. The purpose of our systematic review was to examine: 1) the association between vitamin D and calcium status and risk of type 2 DM; and 2) the effect of vitamin D and/or calcium supplementation on glucose metabolism.

Materials and Methods

We searched MEDLINE for English-language literature through January 2007 for observational studies on the association between vitamin D/calcium status (defined by serum 25-hydroxyvitamin D (25-OHD) concentration, and vitamin D, calcium, or dairy intake) and type 2 DM (prevalence or incidence) and for randomized controlled trials of the effect of vitamin D and/or calcium supplementation in nonpregnant adults on outcomes related to glucose homeostasis. We also examined metabolic syndrome (prevalence or incidence) as an outcome of interest, given that insulin resistance, a feature of type 2 DM, is considered to be a central mechanism underlying the metabolic syndrome. Search terms included diabetes, hyperglycemia, glucose, glycohemoglobin, metabolic syndrome, insulin resistance, homa, homeostasis model assessment, β-cell function, insulin secretion, vitamin D, calcium, dairy, milk and related terms. Additional publications were identified from citations from the recovered articles, review articles, and personal reference lists. We excluded letters, abstracts, and conference proceedings that were not published in full in peer-reviewed journals (7). We excluded studies in children because insulin dynamics are evolving during childhood, especially during puberty (8, 9). We excluded studies of type 1 diabetes (or insulin-requiring diabetes of unclear type), hemodialysis, hyperparathyroidism, and other conditions or medications that affect vitamin D metabolism (e.g. epilepsy). Qualitative synthesis of available data were performed due to the large heterogeneity in the methods for assessing outcomes among the studies. However, when data were available to combine, meta-analyses using a random-effects model (10) were performed, and summary odds ratios (OR) are presented. For certain studies that reported a confidence interval (CI) that was asymmetric around the mean, we used a conservative approach and included in the meta-analysis the widest CI reported.

Potential Mechanisms for the Effects of Vitamin D and Calcium on Type 2 DM

For glucose intolerance and type 2 DM to develop, defects in pancreatic β-cell function, insulin sensitivity, and systemic inflammation are often present (11, 12). There is evidence that vitamin D and calcium influence these mechanisms, as summarized next and in Table 1.

TABLE 1.

Potential mechanisms and evidence to support a benefit for vitamin D and calcium in type 2 DM

MechanismsEvidence
Improvement in pancreatic β-cell function  
 Direct effect of vitamin D on insulin secretion Presence of specific vitamin D receptors in pancreatic β-cells (94
 Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15
 Impaired insulin secretory response in mice lacking functional vitamin D receptors (14
 Presence of the vitamin D response element in the human insulin gene promoter (95
 Transcriptional activation of the human insulin gene by 1,25-OHD (96
 Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101
 Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102
 Indirect effect of vitamin D on insulin secretion Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool 
 Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103
 Calcium effect on insulin secretion Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16
 Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104
 In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106
 In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107
 Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108
Improvement in insulin action  
 Direct effect of vitamin D on insulin action Inverse association between 25-OHD levels and sarcopenia (109
 Presence of vitamin D receptor in skeletal muscle (110
 Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26
 Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112
 Indirect effect of vitamin D on insulin action Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool 
Calcium effect on insulin action Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30
 Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37
 Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38
 Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115
 Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116
Improvement in systemic inflammation  
 Effects of vitamin D on cytokines Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119
 Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121
 Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). 
 Effects of calcium on cytokines Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85
MechanismsEvidence
Improvement in pancreatic β-cell function  
 Direct effect of vitamin D on insulin secretion Presence of specific vitamin D receptors in pancreatic β-cells (94
 Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15
 Impaired insulin secretory response in mice lacking functional vitamin D receptors (14
 Presence of the vitamin D response element in the human insulin gene promoter (95
 Transcriptional activation of the human insulin gene by 1,25-OHD (96
 Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101
 Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102
 Indirect effect of vitamin D on insulin secretion Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool 
 Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103
 Calcium effect on insulin secretion Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16
 Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104
 In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106
 In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107
 Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108
Improvement in insulin action  
 Direct effect of vitamin D on insulin action Inverse association between 25-OHD levels and sarcopenia (109
 Presence of vitamin D receptor in skeletal muscle (110
 Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26
 Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112
 Indirect effect of vitamin D on insulin action Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool 
Calcium effect on insulin action Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30
 Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37
 Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38
 Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115
 Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116
Improvement in systemic inflammation  
 Effects of vitamin D on cytokines Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119
 Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121
 Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). 
 Effects of calcium on cytokines Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85
TABLE 1.

Potential mechanisms and evidence to support a benefit for vitamin D and calcium in type 2 DM

MechanismsEvidence
Improvement in pancreatic β-cell function  
 Direct effect of vitamin D on insulin secretion Presence of specific vitamin D receptors in pancreatic β-cells (94
 Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15
 Impaired insulin secretory response in mice lacking functional vitamin D receptors (14
 Presence of the vitamin D response element in the human insulin gene promoter (95
 Transcriptional activation of the human insulin gene by 1,25-OHD (96
 Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101
 Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102
 Indirect effect of vitamin D on insulin secretion Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool 
 Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103
 Calcium effect on insulin secretion Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16
 Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104
 In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106
 In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107
 Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108
Improvement in insulin action  
 Direct effect of vitamin D on insulin action Inverse association between 25-OHD levels and sarcopenia (109
 Presence of vitamin D receptor in skeletal muscle (110
 Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26
 Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112
 Indirect effect of vitamin D on insulin action Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool 
Calcium effect on insulin action Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30
 Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37
 Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38
 Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115
 Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116
Improvement in systemic inflammation  
 Effects of vitamin D on cytokines Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119
 Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121
 Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). 
 Effects of calcium on cytokines Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85
MechanismsEvidence
Improvement in pancreatic β-cell function  
 Direct effect of vitamin D on insulin secretion Presence of specific vitamin D receptors in pancreatic β-cells (94
 Expression of 1-α-hydroxylase enzyme in pancreatic β-cells (15
 Impaired insulin secretory response in mice lacking functional vitamin D receptors (14
 Presence of the vitamin D response element in the human insulin gene promoter (95
 Transcriptional activation of the human insulin gene by 1,25-OHD (96
 Vitamin D deficiency impairs glucose-mediated insulin secretion from rat pancreatic β-cells in vitro (13, 97, 98, 99 ) and in vivo (100, 101
 Supplementation with vitamin D restores insulin secretion in animals (13, 97, 99, 100, 102
 Indirect effect of vitamin D on insulin secretion Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium flux through cell membranes and adequate [Ca2+]i pool 
 Regulation of calcium flux and [Ca2+]i in the pancreatic β-cell via regulation of calbindin, a cytosolic calcium-binding protein (103
 Calcium effect on insulin secretion Alterations in calcium flux can have adverse effects on insulin secretion, a calcium-dependent process (16
 Calcium repletion alone normalized glucose tolerance and insulin secretion in vitamin D-depleted rats (104
 In people without diabetes, hypocalcemia is associated with impairment of insulin release (105, 106
 In diabetes patients, an oral calcium load augments glucose-induced insulin secretion (107
 Patients with resistance to 1,25-OHD were found to have abnormal insulin secretion only if they were hypocalcemic (108
Improvement in insulin action  
 Direct effect of vitamin D on insulin action Inverse association between 25-OHD levels and sarcopenia (109
 Presence of vitamin D receptor in skeletal muscle (110
 Vitamin D stimulates the expression of insulin receptor and enhances insulin responsiveness for glucose transport in vitro (26
 Vitamin D directly activates peroxisome proliferator activator receptor-δ (111 ), a transcription factor implicated in the regulation of fatty acid metabolism in skeletal muscle and adipose tissue (112
 Indirect effect of vitamin D on insulin action Vitamin D contributes to normalization of extracellular calcium, ensuring normal calcium influx through cell membranes and adequate [Ca2+]i pool 
Calcium effect on insulin action Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (27, 28, 29 ) with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30
 Changes in [Ca2+]i in primary insulin target tissues contributes to alterations in insulin action (30, 31, 32, 33, 34, 35, 36, 37
 Impairment of insulin receptor phosphorylation, a calcium-dependent process (113 ) leading to impaired insulin signal transduction (29, 34 ) and decreased glucose transporter-4 activity (34, 38
 Changes in [Ca2+]i modulate adipocyte metabolism, which may promote triglyceride accumulation via increased de novo lipogenesis and inability to suppress insulin-mediated lipolysis leading to fat accumulation (114, 115
 Patients with type 2 DM exhibit impaired cellular calcium homeostasis including defects in skeletal muscle, adipocytes, and liver (116
Improvement in systemic inflammation  
 Effects of vitamin D on cytokines Vitamin D interacts with vitamin D response elements in the promoter region of cytokine genes to interfere with nuclear transcription factors implicated in cytokine generation and action (117, 118, 119
 Vitamin D can down-regulate activation of nuclear factor-κB (117, 119, 120 ), which is an important regulator of genes encoding proinflammatory cytokines implicated in insulin resistance (121
 Vitamin D interferes with cytokine generation by up-regulating expression of calbindin (94, 122, 123 ), a cytosolic calcium-binding protein found in many tissues including pancreatic β-cells (94, 123 ). Calbindin has been shown to protect against cytokine-induced apoptosis that may occur after a rise in cytosolic free calcium [Ca2+]I (124 ). 
 Effects of calcium on cytokines Changes in [Ca2+]i may lead to cytokine-induced apoptosis (85

Pancreatic β-cell function

There are several lines of evidence supporting a role for vitamin D in pancreatic β-cell function, as shown in Table 1. Vitamin D appears to affect exclusively the insulin response to glucose stimulation, whereas it does not appear to influence basal insulinemia (13, 14). The direct effect of vitamin D may be mediated by binding of its circulating active from, 1,25-OHD, to the β-cell vitamin D receptor. Alternatively, activation of vitamin D may occur within the β-cell by the 1-α-hydroxylase enzyme, which was recently shown to be expressed in β-cells (15). The indirect effects of vitamin D may be mediated via its important and well-recognized role in regulating extracellular calcium and calcium flux through the β-cell (Table 1). Insulin secretion is a calcium-dependent process (16); therefore, alterations in calcium flux can have adverse effects on β-cell secretory function. We speculate that inadequate calcium intake or vitamin D insufficiency may alter the balance between the extracellular and intracellular β-cell calcium pools, which may interfere with normal insulin release, especially in response to a glucose load. Some (1721), but not all (22, 23), studies in several cohorts with varied baseline vitamin D status have reported an association between vitamin D deficiency and impaired glucose-mediated insulin release. Vitamin D supplementation improved insulin release in some (17, 21, 23, 24), but not all (21, 23, 25), small-scale short-term randomized trials.

Insulin resistance

Vitamin D may have a beneficial effect on insulin action either directly, by stimulating the expression of insulin receptor and thereby enhancing insulin responsiveness for glucose transport (26), or indirectly via its role in regulating extracellular calcium and ensuring normal calcium influx through cell membranes and adequate intracellular cytosolic calcium [Ca2+]i pool (Table 1). Calcium is essential for insulin-mediated intracellular processes in insulin-responsive tissues such as skeletal muscle and adipose tissue (2729), with a very narrow range of [Ca2+]i needed for optimal insulin-mediated functions (30). Changes in [Ca2+]i in primary insulin target tissues may contribute to peripheral insulin resistance (3037) via impaired insulin signal transduction (29, 34), leading to decreased glucose transporter-4 activity (34, 38). Associations between low vitamin D level and decreased insulin sensitivity have been reported in cross-sectional studies (1823, 39, 40). Some (19, 40), but not all (23), observational studies have shown an inverse association between vitamin D or calcium status and insulin resistance. Results from randomized trials on the effect of vitamin D and/or calcium supplementation on insulin resistance show either no effect (23, 4145) or improvement (4648) of insulin action with supplementation.

Inflammation

It is currently recognized that type 2 DM is associated with systemic inflammation (12, 49, 50). Systemic inflammation has been linked primarily to insulin resistance, but elevated cytokines may also play a role in β-cell dysfunction by triggering β-cell apoptosis. Vitamin D may improve insulin sensitivity and promote β-cell survival by directly modulating the generation and effects of cytokines (Table 1). There are very limited and conflicting data from human studies that have directly examined the relationship between vitamin D or calcium status and systemic inflammation in relation to type 2 DM (48, 5153).

Evidence from Observational Human Studies

What is the association between vitamin D status and prevalent type 2 DM or metabolic syndrome?

The role of vitamin D in type 2 DM is suggested by a seasonal variation in glycemic control reported in patients with type 2 DM being worse in the winter (5456), which may, at least in part, be due to prevalent hypovitaminosis D in the winter. In cross-sectional studies (Table 2), inverse associations between serum 25-OHD and measurements of glycemia or presence of type 2 DM have been reported in a variety of cohorts (18, 19, 40, 5759), but the relationship is not consistent (18, 19, 23, 40, 60, 61). In the largest cross-sectional study to date from National Health and Nutrition Examination Survey (NHANES) data, serum 25-OHD concentration (after multivariate adjustment) was inversely associated with diabetes prevalence in a dose-dependent pattern in non-Hispanic whites and Mexican-Americans (40, 57). In the same study, 25-OHD concentration also correlated with measures of insulin resistance [estimated by homeostatic model assessment (HOMA-R) based on fasting glucose and insulin levels] but did not correlate with β-cell function (estimated by HOMA-β). No correlation between 25-OHD and diabetes prevalence or measures of insulin resistance or β-cell function was seen in non-Hispanic blacks. This lack of association may be explained by the observation that nonwhites exhibit a different vitamin D, calcium, and PTH homeostasis compared with whites (62).

TABLE 2.

Cross-sectional studies reporting an association between vitamin D status, calcium intake, dairy intake, and prevalence of type 2 DM/metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge, mean or range (yr)CohortOutcome (assessment)Predictor, range, or categoryMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM (n = 20) FPG 25-OHD, NR 25-OHD not associated with FPG  25-OHD not associated with IR (fasting insulin) 
 Baynes, 1997 (1876 Nondiabetics (n = 142) FPG, 2hPG 25-OHD, 1–75 ng/ml 25-OHD not associated with FPG or 2hPG BMI, skinfold, exercise, smoking, alcohol 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) 
 Wareham, 1997 (60M/F 40–65 Nondiabetics (n = 1,057) IGT (2hPG) 25-OHD, <23 to >25 ng/ml OR 1.00, 1.03 (1.01–1.05)   
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) FPG, 2hPG 25-OHD, 5–75 ng/ml 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG Age, sex, race, BMI, WHR, blood pressure 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release 
 Scragg, 2004 (40M/F >20 NHANES (n = 2,766 non-Hispanic whites) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.25 (0.11–0.60) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 Mexican-Americans) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 non-Hispanic blacks) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 3.40 (1.07–10.86) Age, sex, race, BMI, exercise, season  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Type 2 DM (FPG) 25-OHD, <19 to >38 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Need, 2005 (5863 Nondiabetics, (n = 753) FPG 25-OHD, NR 25-OHD (>16 ng/ml) inversely associated with FPG Age, BMI  
 Snijder, 2006 (61M/F 75 (n = 1,235) Type 2 DM (self-report) 25-OHD, <10 to ≥30 ng/ml OR 1.0, 1.23 (0.50–3.02) Age, sex, WHR, exercise, smoking, alcohol, region, season  
 Hypponen and Power, 2006 (59M/F 45 Caucasians (n = 7,198) Hemoglobin A1c (%) 25-OHD, <10 to ≥30 ng/ml Hemoglobin A1c concentration 5.4%, 5.1% Sex, season Association pronounced among obese 
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) Metabolic syndrome 25-OHD, 5–75 ng/ml 25-OHD inversely associated with metabolic syndrome Age, sex, race, BMI, WHR, blood pressure  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Metabolic syndrome 25-OHD, <19 to >38 ng/ml OR 1.00, 0.46 (0.32–0.67) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Vitamin D intake, ≤159 to ≥511 IU/d OR 1.00, 1.05 (0.84–1.32) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Calcium intake, ≤ 610 to ≥1,284 mg/d OR 1.00, 0.68 (0.55–0.83) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake  
Dairy intake         
 Mennen, 2000 (7830–64 n = 2,439 FPG ≤1 to >4 servings/d Dairy intake inversely associated with FPG Age, WHR, energy intake  
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) IGT (FPG>110 mg/dl) <1.7 to ≥3.1 servings/d OR 1.00, 0.88 (0.73–1.09) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Mennen, 2000 (7830–64 n = 2,537 Metabolic syndrome ≤1 to >4 servings/d OR 1.00, 0.76 (0.47–2.66) Age, WHR, energy intake  
 Mennen, 2000 (7830–64 n = 2,439 Metabolic syndrome ≤1 to > 4 servings/d OR 1.00, 0.63 (0.40–0.99) Age, WHR, energy intake Dairy intake inversely associated with FPG (OR not provided) 
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) Metabolic syndrome <1.7 to ≥3.1 servings/d OR 1.00, 0.82 (0.64–0.98) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome <0.9 to >3 servings/d OR 1.00, 0.66 (0.55–0.80) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction  
First author, year (Ref.)SexAge, mean or range (yr)CohortOutcome (assessment)Predictor, range, or categoryMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM (n = 20) FPG 25-OHD, NR 25-OHD not associated with FPG  25-OHD not associated with IR (fasting insulin) 
 Baynes, 1997 (1876 Nondiabetics (n = 142) FPG, 2hPG 25-OHD, 1–75 ng/ml 25-OHD not associated with FPG or 2hPG BMI, skinfold, exercise, smoking, alcohol 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) 
 Wareham, 1997 (60M/F 40–65 Nondiabetics (n = 1,057) IGT (2hPG) 25-OHD, <23 to >25 ng/ml OR 1.00, 1.03 (1.01–1.05)   
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) FPG, 2hPG 25-OHD, 5–75 ng/ml 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG Age, sex, race, BMI, WHR, blood pressure 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release 
 Scragg, 2004 (40M/F >20 NHANES (n = 2,766 non-Hispanic whites) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.25 (0.11–0.60) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 Mexican-Americans) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 non-Hispanic blacks) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 3.40 (1.07–10.86) Age, sex, race, BMI, exercise, season  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Type 2 DM (FPG) 25-OHD, <19 to >38 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Need, 2005 (5863 Nondiabetics, (n = 753) FPG 25-OHD, NR 25-OHD (>16 ng/ml) inversely associated with FPG Age, BMI  
 Snijder, 2006 (61M/F 75 (n = 1,235) Type 2 DM (self-report) 25-OHD, <10 to ≥30 ng/ml OR 1.0, 1.23 (0.50–3.02) Age, sex, WHR, exercise, smoking, alcohol, region, season  
 Hypponen and Power, 2006 (59M/F 45 Caucasians (n = 7,198) Hemoglobin A1c (%) 25-OHD, <10 to ≥30 ng/ml Hemoglobin A1c concentration 5.4%, 5.1% Sex, season Association pronounced among obese 
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) Metabolic syndrome 25-OHD, 5–75 ng/ml 25-OHD inversely associated with metabolic syndrome Age, sex, race, BMI, WHR, blood pressure  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Metabolic syndrome 25-OHD, <19 to >38 ng/ml OR 1.00, 0.46 (0.32–0.67) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Vitamin D intake, ≤159 to ≥511 IU/d OR 1.00, 1.05 (0.84–1.32) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Calcium intake, ≤ 610 to ≥1,284 mg/d OR 1.00, 0.68 (0.55–0.83) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake  
Dairy intake         
 Mennen, 2000 (7830–64 n = 2,439 FPG ≤1 to >4 servings/d Dairy intake inversely associated with FPG Age, WHR, energy intake  
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) IGT (FPG>110 mg/dl) <1.7 to ≥3.1 servings/d OR 1.00, 0.88 (0.73–1.09) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Mennen, 2000 (7830–64 n = 2,537 Metabolic syndrome ≤1 to >4 servings/d OR 1.00, 0.76 (0.47–2.66) Age, WHR, energy intake  
 Mennen, 2000 (7830–64 n = 2,439 Metabolic syndrome ≤1 to > 4 servings/d OR 1.00, 0.63 (0.40–0.99) Age, WHR, energy intake Dairy intake inversely associated with FPG (OR not provided) 
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) Metabolic syndrome <1.7 to ≥3.1 servings/d OR 1.00, 0.82 (0.64–0.98) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome <0.9 to >3 servings/d OR 1.00, 0.66 (0.55–0.80) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction  

BMI, Body mass index; M, male; F, female; FPG, fasting plasma glucose; NR, not reported; NGT, normal glucose tolerance (based on FPG or 2hPG); IGT, impaired glucose tolerance (based on FPG or 2hPG); type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG, or self-report); 1hPG, plasma glucose 1 h after 75-g glucose load; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; IR, insulin resistance; CRP, C-reactive protein; WHR, waist-hip-ratio; ↓, decreased (statistically significant), ↑, increased (statistically significant), ↔, no difference (no statistical significance); NHANES, National Health and Nutrition Examination Survey; BWHS, Black Women’s Health Study; CARDIA, Coronary Artery Risk Development in Young Adults study; HPFS, Health Professionals Follow-up Study. To convert 25-OHD concentration to SI units, multiply by 2.459.

TABLE 2.

Cross-sectional studies reporting an association between vitamin D status, calcium intake, dairy intake, and prevalence of type 2 DM/metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge, mean or range (yr)CohortOutcome (assessment)Predictor, range, or categoryMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM (n = 20) FPG 25-OHD, NR 25-OHD not associated with FPG  25-OHD not associated with IR (fasting insulin) 
 Baynes, 1997 (1876 Nondiabetics (n = 142) FPG, 2hPG 25-OHD, 1–75 ng/ml 25-OHD not associated with FPG or 2hPG BMI, skinfold, exercise, smoking, alcohol 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) 
 Wareham, 1997 (60M/F 40–65 Nondiabetics (n = 1,057) IGT (2hPG) 25-OHD, <23 to >25 ng/ml OR 1.00, 1.03 (1.01–1.05)   
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) FPG, 2hPG 25-OHD, 5–75 ng/ml 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG Age, sex, race, BMI, WHR, blood pressure 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release 
 Scragg, 2004 (40M/F >20 NHANES (n = 2,766 non-Hispanic whites) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.25 (0.11–0.60) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 Mexican-Americans) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 non-Hispanic blacks) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 3.40 (1.07–10.86) Age, sex, race, BMI, exercise, season  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Type 2 DM (FPG) 25-OHD, <19 to >38 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Need, 2005 (5863 Nondiabetics, (n = 753) FPG 25-OHD, NR 25-OHD (>16 ng/ml) inversely associated with FPG Age, BMI  
 Snijder, 2006 (61M/F 75 (n = 1,235) Type 2 DM (self-report) 25-OHD, <10 to ≥30 ng/ml OR 1.0, 1.23 (0.50–3.02) Age, sex, WHR, exercise, smoking, alcohol, region, season  
 Hypponen and Power, 2006 (59M/F 45 Caucasians (n = 7,198) Hemoglobin A1c (%) 25-OHD, <10 to ≥30 ng/ml Hemoglobin A1c concentration 5.4%, 5.1% Sex, season Association pronounced among obese 
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) Metabolic syndrome 25-OHD, 5–75 ng/ml 25-OHD inversely associated with metabolic syndrome Age, sex, race, BMI, WHR, blood pressure  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Metabolic syndrome 25-OHD, <19 to >38 ng/ml OR 1.00, 0.46 (0.32–0.67) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Vitamin D intake, ≤159 to ≥511 IU/d OR 1.00, 1.05 (0.84–1.32) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Calcium intake, ≤ 610 to ≥1,284 mg/d OR 1.00, 0.68 (0.55–0.83) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake  
Dairy intake         
 Mennen, 2000 (7830–64 n = 2,439 FPG ≤1 to >4 servings/d Dairy intake inversely associated with FPG Age, WHR, energy intake  
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) IGT (FPG>110 mg/dl) <1.7 to ≥3.1 servings/d OR 1.00, 0.88 (0.73–1.09) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Mennen, 2000 (7830–64 n = 2,537 Metabolic syndrome ≤1 to >4 servings/d OR 1.00, 0.76 (0.47–2.66) Age, WHR, energy intake  
 Mennen, 2000 (7830–64 n = 2,439 Metabolic syndrome ≤1 to > 4 servings/d OR 1.00, 0.63 (0.40–0.99) Age, WHR, energy intake Dairy intake inversely associated with FPG (OR not provided) 
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) Metabolic syndrome <1.7 to ≥3.1 servings/d OR 1.00, 0.82 (0.64–0.98) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome <0.9 to >3 servings/d OR 1.00, 0.66 (0.55–0.80) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction  
First author, year (Ref.)SexAge, mean or range (yr)CohortOutcome (assessment)Predictor, range, or categoryMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM (n = 20) FPG 25-OHD, NR 25-OHD not associated with FPG  25-OHD not associated with IR (fasting insulin) 
 Baynes, 1997 (1876 Nondiabetics (n = 142) FPG, 2hPG 25-OHD, 1–75 ng/ml 25-OHD not associated with FPG or 2hPG BMI, skinfold, exercise, smoking, alcohol 25-OHD inversely associated with 1hPG (r =−0.2), GLUAUC(r =−0.3) 
 Wareham, 1997 (60M/F 40–65 Nondiabetics (n = 1,057) IGT (2hPG) 25-OHD, <23 to >25 ng/ml OR 1.00, 1.03 (1.01–1.05)   
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) FPG, 2hPG 25-OHD, 5–75 ng/ml 25-OHD inversely associated with 1hPG, 2hPG; 25-OHD not associated with FPG Age, sex, race, BMI, WHR, blood pressure 25-OHD inversely associated with 1hPG, IR (clamp). 25-OHD not associated with insulin release 
 Scragg, 2004 (40M/F >20 NHANES (n = 2,766 non-Hispanic whites) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.25 (0.11–0.60) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 Mexican-Americans) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, BMI, exercise, season 25-OHD inversely associated with IR (HOMA) 
 M/F >20 NHANES (n = 1,726 non-Hispanic blacks) Type 2 DM (FPG) 25-OHD, <18 to >32 ng/ml OR 1.00, 3.40 (1.07–10.86) Age, sex, race, BMI, exercise, season  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Type 2 DM (FPG) 25-OHD, <19 to >38 ng/ml OR 1.00, 0.17 (0.08–0.37) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Need, 2005 (5863 Nondiabetics, (n = 753) FPG 25-OHD, NR 25-OHD (>16 ng/ml) inversely associated with FPG Age, BMI  
 Snijder, 2006 (61M/F 75 (n = 1,235) Type 2 DM (self-report) 25-OHD, <10 to ≥30 ng/ml OR 1.0, 1.23 (0.50–3.02) Age, sex, WHR, exercise, smoking, alcohol, region, season  
 Hypponen and Power, 2006 (59M/F 45 Caucasians (n = 7,198) Hemoglobin A1c (%) 25-OHD, <10 to ≥30 ng/ml Hemoglobin A1c concentration 5.4%, 5.1% Sex, season Association pronounced among obese 
 Chiu, 2004 (19M/F 26 Nondiabetics (n = 126) Metabolic syndrome 25-OHD, 5–75 ng/ml 25-OHD inversely associated with metabolic syndrome Age, sex, race, BMI, WHR, blood pressure  
 Ford, 2005 (57M/F >20 NHANES (n = 8,241) Metabolic syndrome 25-OHD, <19 to >38 ng/ml OR 1.00, 0.46 (0.32–0.67) Age, sex, race, exercise, smoking, alcohol, diet, vitamin use, cholesterol, CRP, education, season  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Vitamin D intake, ≤159 to ≥511 IU/d OR 1.00, 1.05 (0.84–1.32) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome Calcium intake, ≤ 610 to ≥1,284 mg/d OR 1.00, 0.68 (0.55–0.83) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction, vitamin D intake  
Dairy intake         
 Mennen, 2000 (7830–64 n = 2,439 FPG ≤1 to >4 servings/d Dairy intake inversely associated with FPG Age, WHR, energy intake  
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) IGT (FPG>110 mg/dl) <1.7 to ≥3.1 servings/d OR 1.00, 0.88 (0.73–1.09) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Mennen, 2000 (7830–64 n = 2,537 Metabolic syndrome ≤1 to >4 servings/d OR 1.00, 0.76 (0.47–2.66) Age, WHR, energy intake  
 Mennen, 2000 (7830–64 n = 2,439 Metabolic syndrome ≤1 to > 4 servings/d OR 1.00, 0.63 (0.40–0.99) Age, WHR, energy intake Dairy intake inversely associated with FPG (OR not provided) 
 Azadbakht, 2005 (79M/F 18–74 Tehranian adults (n = 827) Metabolic syndrome <1.7 to ≥3.1 servings/d OR 1.00, 0.82 (0.64–0.98) Age, sex, BMI, WHR, exercise, smoking, energy intake, calcium intake  
 Liu, 2005 (66>45 Women’s Health Study (n = 10,066) Metabolic syndrome <0.9 to >3 servings/d OR 1.00, 0.66 (0.55–0.80) Age, exercise, smoking, alcohol, vitamin use, history of myocardial infarction  

BMI, Body mass index; M, male; F, female; FPG, fasting plasma glucose; NR, not reported; NGT, normal glucose tolerance (based on FPG or 2hPG); IGT, impaired glucose tolerance (based on FPG or 2hPG); type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG, or self-report); 1hPG, plasma glucose 1 h after 75-g glucose load; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; IR, insulin resistance; CRP, C-reactive protein; WHR, waist-hip-ratio; ↓, decreased (statistically significant), ↑, increased (statistically significant), ↔, no difference (no statistical significance); NHANES, National Health and Nutrition Examination Survey; BWHS, Black Women’s Health Study; CARDIA, Coronary Artery Risk Development in Young Adults study; HPFS, Health Professionals Follow-up Study. To convert 25-OHD concentration to SI units, multiply by 2.459.

Combining data from all studies that reported on the association between 25-OHD level and prevalent type 2 DM (40, 60, 61, 63), the summary OR was 0.54 (95% CI, 0.23–1.27) for the highest vs. the lowest 25-OHD concentration (25–38 vs. 10–23 ng/ml, respectively), but with significant heterogeneity among studies. When we excluded the data on non-Hispanic blacks, there was a statistically significant inverse association between 25-OHD concentration and prevalent type 2 DM [OR 0.36 (95% CI, 0.16–0.80)].

Vitamin D intake and 25-OHD concentration have also been inversely associated with prevalence of metabolic syndrome (19, 57). In the largest study using NHANES data, serum 25-OHD concentration (after multivariate adjustment, but not including calcium intake) was inversely associated with having the metabolic syndrome (57) among both sexes and all three major racial or ethnic groups (57). The components of the metabolic syndrome that were independently associated with low 25-OHD were abdominal obesity and hyperglycemia; therefore, the results of this study may simply reflect the inverse association between serum 25-OHD and body weight or fatness (40, 64, 65). In a recent cross-sectional analysis of the Women’s Health Study, a large randomized trial designed to evaluate the effects of low-dose aspirin and vitamin E in cardiovascular disease, the inverse association between vitamin D intake and prevalence of metabolic syndrome was dissipated after adjustment for calcium intake (66).

In most (17, 51, 59, 63, 6772), but not all (69, 73, 74), case-control studies, patients with type 2 DM or glucose intolerance are found to have lower serum 25-OHD concentration compared with controls without diabetes (Table 3).

TABLE 3.

Case-control studies reporting an association between vitamin D status, calcium intake, and type 2 DM or metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge, mean or range (yr)Cases/outcome measureControl groupPredictorMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Heath, 1979 (74M/F 18–75 Type 2 DM, n = 82 n = 40 25-OHD ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml)   
 Christiansen, 1982 (6736 Insulin-treated type 2 DM, n = 26 Age-, sex- matched, n = 14 25-OHD ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml)  25-OHD not associated with C-peptide level 
 Stepan, 1982 (68M/F 40–70 Sulfonylurea-treated type 2 DM, n = 22 Blood donors, n = 30 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml)   
 Ishida, 1985 (73M/F 19–80 Type 2 DM, n = 168 n = 78 25-OHD ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml)   
 Nyomba, 1986 (69M/F 34–60 Bantu insulin-treated type 2 DM, n = 20 Bantu, n = 36 25-OHD ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml)   
 M/F 14–63 Caucasian diet- and insulin-treated type 2 DM, n = 44 Caucasian, n = 26 25-OHD ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml)   
 Pietschamann, 1988 (70M/F 62 Type 2 DM, n = 38 Age-, sex-matched, n = 17 25-OHD ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml)   
 Boucher, 1995 (17M/F 40–57 IGT/type 2 DM, n = 44 Age-, sex-matched, n = 15 25-OHD ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml)   
 Scragg, 1995 (63M/F 40–64 IGT/newly diagnosed type 2 DM, n = 238 Age-, sex-, ethnicity-, date-matched, n = 238 25-OHD OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) BMI, exercise, cholesterol, hypertension Nested case-control study 
 Aksoy, 2000 (71M/F 57 Type 2 DM with retinopathy, n = 66 Season-matched, n = 20 25-OHD ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml)   
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) Age, time since menopause  
 Cigolini, 2006 (51M/F 61 Type 2 DM, n = 459 Age-, sex-matched, n = 459 25-OHD ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml)   
 Hypponen and Power, 2006 (59M/F 45 Type 2 DM, n = 125 Sex-, season- matched, n = 7,073 25-OHD ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml)   
Calcium intake         
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 Calcium intake ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) Age, time since menopause  
First author, year (Ref.)SexAge, mean or range (yr)Cases/outcome measureControl groupPredictorMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Heath, 1979 (74M/F 18–75 Type 2 DM, n = 82 n = 40 25-OHD ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml)   
 Christiansen, 1982 (6736 Insulin-treated type 2 DM, n = 26 Age-, sex- matched, n = 14 25-OHD ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml)  25-OHD not associated with C-peptide level 
 Stepan, 1982 (68M/F 40–70 Sulfonylurea-treated type 2 DM, n = 22 Blood donors, n = 30 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml)   
 Ishida, 1985 (73M/F 19–80 Type 2 DM, n = 168 n = 78 25-OHD ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml)   
 Nyomba, 1986 (69M/F 34–60 Bantu insulin-treated type 2 DM, n = 20 Bantu, n = 36 25-OHD ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml)   
 M/F 14–63 Caucasian diet- and insulin-treated type 2 DM, n = 44 Caucasian, n = 26 25-OHD ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml)   
 Pietschamann, 1988 (70M/F 62 Type 2 DM, n = 38 Age-, sex-matched, n = 17 25-OHD ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml)   
 Boucher, 1995 (17M/F 40–57 IGT/type 2 DM, n = 44 Age-, sex-matched, n = 15 25-OHD ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml)   
 Scragg, 1995 (63M/F 40–64 IGT/newly diagnosed type 2 DM, n = 238 Age-, sex-, ethnicity-, date-matched, n = 238 25-OHD OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) BMI, exercise, cholesterol, hypertension Nested case-control study 
 Aksoy, 2000 (71M/F 57 Type 2 DM with retinopathy, n = 66 Season-matched, n = 20 25-OHD ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml)   
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) Age, time since menopause  
 Cigolini, 2006 (51M/F 61 Type 2 DM, n = 459 Age-, sex-matched, n = 459 25-OHD ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml)   
 Hypponen and Power, 2006 (59M/F 45 Type 2 DM, n = 125 Sex-, season- matched, n = 7,073 25-OHD ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml)   
Calcium intake         
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 Calcium intake ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) Age, time since menopause  

See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.

TABLE 3.

Case-control studies reporting an association between vitamin D status, calcium intake, and type 2 DM or metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge, mean or range (yr)Cases/outcome measureControl groupPredictorMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Heath, 1979 (74M/F 18–75 Type 2 DM, n = 82 n = 40 25-OHD ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml)   
 Christiansen, 1982 (6736 Insulin-treated type 2 DM, n = 26 Age-, sex- matched, n = 14 25-OHD ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml)  25-OHD not associated with C-peptide level 
 Stepan, 1982 (68M/F 40–70 Sulfonylurea-treated type 2 DM, n = 22 Blood donors, n = 30 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml)   
 Ishida, 1985 (73M/F 19–80 Type 2 DM, n = 168 n = 78 25-OHD ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml)   
 Nyomba, 1986 (69M/F 34–60 Bantu insulin-treated type 2 DM, n = 20 Bantu, n = 36 25-OHD ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml)   
 M/F 14–63 Caucasian diet- and insulin-treated type 2 DM, n = 44 Caucasian, n = 26 25-OHD ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml)   
 Pietschamann, 1988 (70M/F 62 Type 2 DM, n = 38 Age-, sex-matched, n = 17 25-OHD ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml)   
 Boucher, 1995 (17M/F 40–57 IGT/type 2 DM, n = 44 Age-, sex-matched, n = 15 25-OHD ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml)   
 Scragg, 1995 (63M/F 40–64 IGT/newly diagnosed type 2 DM, n = 238 Age-, sex-, ethnicity-, date-matched, n = 238 25-OHD OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) BMI, exercise, cholesterol, hypertension Nested case-control study 
 Aksoy, 2000 (71M/F 57 Type 2 DM with retinopathy, n = 66 Season-matched, n = 20 25-OHD ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml)   
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) Age, time since menopause  
 Cigolini, 2006 (51M/F 61 Type 2 DM, n = 459 Age-, sex-matched, n = 459 25-OHD ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml)   
 Hypponen and Power, 2006 (59M/F 45 Type 2 DM, n = 125 Sex-, season- matched, n = 7,073 25-OHD ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml)   
Calcium intake         
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 Calcium intake ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) Age, time since menopause  
First author, year (Ref.)SexAge, mean or range (yr)Cases/outcome measureControl groupPredictorMain study resultsAdjustmentsComments and other outcomes
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Heath, 1979 (74M/F 18–75 Type 2 DM, n = 82 n = 40 25-OHD ↔ 25-OHD in type 2 DM vs. controls (35 vs. 38–44 ng/ml)   
 Christiansen, 1982 (6736 Insulin-treated type 2 DM, n = 26 Age-, sex- matched, n = 14 25-OHD ↓ 25-OHD in type 2 DM vs. controls (17 vs. 22 ng/ml)  25-OHD not associated with C-peptide level 
 Stepan, 1982 (68M/F 40–70 Sulfonylurea-treated type 2 DM, n = 22 Blood donors, n = 30 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 14 ng/ml)   
 Ishida, 1985 (73M/F 19–80 Type 2 DM, n = 168 n = 78 25-OHD ↔ 25-OHD in type 2 DM vs. controls (30 vs. 28 ng/ml)   
 Nyomba, 1986 (69M/F 34–60 Bantu insulin-treated type 2 DM, n = 20 Bantu, n = 36 25-OHD ↓ 25-OHD in type 2 DM vs. controls (26 vs. 35 ng/ml)   
 M/F 14–63 Caucasian diet- and insulin-treated type 2 DM, n = 44 Caucasian, n = 26 25-OHD ↔ 25-OHD in type 2 DM vs. controls (34 vs. 33 ng/ml)   
 Pietschamann, 1988 (70M/F 62 Type 2 DM, n = 38 Age-, sex-matched, n = 17 25-OHD ↓ 25-OHD in type 2 DM vs. controls (8 vs. 15 ng/ml)   
 Boucher, 1995 (17M/F 40–57 IGT/type 2 DM, n = 44 Age-, sex-matched, n = 15 25-OHD ↓ 25-OHD in IGT/type 2 DM vs. controls (28 vs. 30 ng/ml)   
 Scragg, 1995 (63M/F 40–64 IGT/newly diagnosed type 2 DM, n = 238 Age-, sex-, ethnicity-, date-matched, n = 238 25-OHD OR 1.00, 0.36 (0.19–0.71) (>33 vs. ≤24 ng/ml) BMI, exercise, cholesterol, hypertension Nested case-control study 
 Aksoy, 2000 (71M/F 57 Type 2 DM with retinopathy, n = 66 Season-matched, n = 20 25-OHD ↓ 25-OHD in type 2 DM vs. controls (12 vs. 24 ng/ml)   
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 25-OHD ↓ 25-OHD in type 2 DM vs. controls (9 vs. 11 ng/ml) Age, time since menopause  
 Cigolini, 2006 (51M/F 61 Type 2 DM, n = 459 Age-, sex-matched, n = 459 25-OHD ↓ 25-OHD in type 2 DM vs. controls (20 vs. 24 ng/ml)   
 Hypponen and Power, 2006 (59M/F 45 Type 2 DM, n = 125 Sex-, season- matched, n = 7,073 25-OHD ↓ 25-OHD in type 2 DM vs. controls (15 vs. 21 ng/ml)   
Calcium intake         
 Isaia, 2001 (72NR Type 2 DM, n = 66 n = 66 Calcium intake ↓ Calcium intake in type 2 DM vs. controls (679 vs. 792 mg/d) Age, time since menopause  

See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.

What is the association between vitamin D status and incident type 2 DM or metabolic syndrome?

Two prospective studies have examined the association of vitamin D intake with incident type 2 DM (Table 4). In the Women’s Health Study, an intake of 511 IU/d of vitamin D or more was associated with lower risk of incident type 2 DM compared with an intake of 159 IU/d or less (2.7 vs. 5.6% of the cohort developed type 2 DM, respectively) (66). However, this analysis did not adjust for other risk factors of type 2 DM or calcium intake. Recently, our group examined the association between vitamin D and calcium intakes and incident type 2 DM among 83,806 women in the Nurses Health Study, a large prospective observational cohort (52). After adjusting for age, BMI, and nondietary covariates, we observed a significant inverse association between total (food + supplements) vitamin D intake and risk of type 2 DM. The association was attenuated after adjusting for dietary factors, in particular, magnesium and calcium.

TABLE 4.

Prospective studies reporting an association between vitamin D status, calcium intake, dairy intake, and incidence of type 2 DM/metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge at baseline, mean or range (yr)Cohort, total no./no. of casesOutcome (assessment)Predictor, lowest and highest categoryMain study resultsAdjustmentsComments
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Vitamin D intake, ≤159 IU/d and ≥511 IU/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D intake ≤200 IU/d and >800 IU/d Relative risk, 1.00, 0.87 (0.69–1.09) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Calcium intake ≤610 mg/d and ≥1,284 mg/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Calcium intake ≤600 mg/d and >1,200 mg/d Relative risk, 1.00, 0.79 (0.70–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake  
 van Dam, 2006 (7639 BWHS, 41,186/1,964 Type 2 DM (validated self-report) Calcium intake, 219 mg/d and 661 mg/d Relative risk, 1.00, 0.86 (0.74–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education Association dissipated after adjustment for magnesium intake 
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157 Metabolic syndrome (ATP-3 criteria) Calcium intake, <600 mg/d and >1200 mg/d Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake Association dissipated after adjusting for dairy intake 
Combined vitamin D and calcium intake         
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d Relative risk, 1.00, 0.67 (0.49–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
Dairy intake         
 Choi, 2005 (8053 HPFS 41,254/1,243 Type 2 DM (validated self-report) 0.5 servings/d and 4.1 servings/d Relative risk, 1.00, 0.82 (0.67–0.1.00) Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension Adjustment for calcium intake reduced statistical significance of dairy intake 
 Liu, 2006 (8155 Women’s Health Study 37,183/1,603 Type 2 DM (validated self-report) Low-fat, <0.9 servings/d and ≥ 3 servings/d Relative risk, 1.00, 0.80 (0.67–0.95) Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension Inverse association persisted after adjusting for calcium, vitamin D intake 
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) <1 servings/d and ≥3 servings/d Relative risk, 1.00, 0.89 (0.81–0.99) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
 van Dam, 2006 (7639 Nondiabetics (black) 41,186/1,964 Type 2 DM (validated self-report) Low-fat, 0 servings/d and >1 serving/d Relative risk, 1.00, 0.87 (0.76–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education  
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157/909 Metabolic syndrome (ATP-3 criteria) <1.5 servings/d and ≥5 servings/d Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake  
First author, year (Ref.)SexAge at baseline, mean or range (yr)Cohort, total no./no. of casesOutcome (assessment)Predictor, lowest and highest categoryMain study resultsAdjustmentsComments
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Vitamin D intake, ≤159 IU/d and ≥511 IU/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D intake ≤200 IU/d and >800 IU/d Relative risk, 1.00, 0.87 (0.69–1.09) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Calcium intake ≤610 mg/d and ≥1,284 mg/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Calcium intake ≤600 mg/d and >1,200 mg/d Relative risk, 1.00, 0.79 (0.70–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake  
 van Dam, 2006 (7639 BWHS, 41,186/1,964 Type 2 DM (validated self-report) Calcium intake, 219 mg/d and 661 mg/d Relative risk, 1.00, 0.86 (0.74–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education Association dissipated after adjustment for magnesium intake 
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157 Metabolic syndrome (ATP-3 criteria) Calcium intake, <600 mg/d and >1200 mg/d Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake Association dissipated after adjusting for dairy intake 
Combined vitamin D and calcium intake         
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d Relative risk, 1.00, 0.67 (0.49–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
Dairy intake         
 Choi, 2005 (8053 HPFS 41,254/1,243 Type 2 DM (validated self-report) 0.5 servings/d and 4.1 servings/d Relative risk, 1.00, 0.82 (0.67–0.1.00) Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension Adjustment for calcium intake reduced statistical significance of dairy intake 
 Liu, 2006 (8155 Women’s Health Study 37,183/1,603 Type 2 DM (validated self-report) Low-fat, <0.9 servings/d and ≥ 3 servings/d Relative risk, 1.00, 0.80 (0.67–0.95) Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension Inverse association persisted after adjusting for calcium, vitamin D intake 
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) <1 servings/d and ≥3 servings/d Relative risk, 1.00, 0.89 (0.81–0.99) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
 van Dam, 2006 (7639 Nondiabetics (black) 41,186/1,964 Type 2 DM (validated self-report) Low-fat, 0 servings/d and >1 serving/d Relative risk, 1.00, 0.87 (0.76–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education  
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157/909 Metabolic syndrome (ATP-3 criteria) <1.5 servings/d and ≥5 servings/d Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake  

See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.

TABLE 4.

Prospective studies reporting an association between vitamin D status, calcium intake, dairy intake, and incidence of type 2 DM/metabolic syndrome in nonpregnant adults

First author, year (Ref.)SexAge at baseline, mean or range (yr)Cohort, total no./no. of casesOutcome (assessment)Predictor, lowest and highest categoryMain study resultsAdjustmentsComments
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Vitamin D intake, ≤159 IU/d and ≥511 IU/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D intake ≤200 IU/d and >800 IU/d Relative risk, 1.00, 0.87 (0.69–1.09) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Calcium intake ≤610 mg/d and ≥1,284 mg/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Calcium intake ≤600 mg/d and >1,200 mg/d Relative risk, 1.00, 0.79 (0.70–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake  
 van Dam, 2006 (7639 BWHS, 41,186/1,964 Type 2 DM (validated self-report) Calcium intake, 219 mg/d and 661 mg/d Relative risk, 1.00, 0.86 (0.74–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education Association dissipated after adjustment for magnesium intake 
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157 Metabolic syndrome (ATP-3 criteria) Calcium intake, <600 mg/d and >1200 mg/d Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake Association dissipated after adjusting for dairy intake 
Combined vitamin D and calcium intake         
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d Relative risk, 1.00, 0.67 (0.49–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
Dairy intake         
 Choi, 2005 (8053 HPFS 41,254/1,243 Type 2 DM (validated self-report) 0.5 servings/d and 4.1 servings/d Relative risk, 1.00, 0.82 (0.67–0.1.00) Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension Adjustment for calcium intake reduced statistical significance of dairy intake 
 Liu, 2006 (8155 Women’s Health Study 37,183/1,603 Type 2 DM (validated self-report) Low-fat, <0.9 servings/d and ≥ 3 servings/d Relative risk, 1.00, 0.80 (0.67–0.95) Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension Inverse association persisted after adjusting for calcium, vitamin D intake 
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) <1 servings/d and ≥3 servings/d Relative risk, 1.00, 0.89 (0.81–0.99) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
 van Dam, 2006 (7639 Nondiabetics (black) 41,186/1,964 Type 2 DM (validated self-report) Low-fat, 0 servings/d and >1 serving/d Relative risk, 1.00, 0.87 (0.76–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education  
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157/909 Metabolic syndrome (ATP-3 criteria) <1.5 servings/d and ≥5 servings/d Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake  
First author, year (Ref.)SexAge at baseline, mean or range (yr)Cohort, total no./no. of casesOutcome (assessment)Predictor, lowest and highest categoryMain study resultsAdjustmentsComments
Vitamin D status (25-OHD concentration or vitamin D intake)         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Vitamin D intake, ≤159 IU/d and ≥511 IU/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D intake ≤200 IU/d and >800 IU/d Relative risk, 1.00, 0.87 (0.69–1.09) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension, calcium intake  
Calcium intake         
 Liu, 2005 (66>45 Women’s Health Study, 10,066/NR Type 2 DM (validated self-report) Calcium intake ≤610 mg/d and ≥1,284 mg/d % of cohort with type 2 DM, 5.6 and 2.7 Age  
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Calcium intake ≤600 mg/d and >1,200 mg/d Relative risk, 1.00, 0.79 (0.70–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee diet, hypertension, calcium intake  
 van Dam, 2006 (7639 BWHS, 41,186/1,964 Type 2 DM (validated self-report) Calcium intake, 219 mg/d and 661 mg/d Relative risk, 1.00, 0.86 (0.74–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education Association dissipated after adjustment for magnesium intake 
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157 Metabolic syndrome (ATP-3 criteria) Calcium intake, <600 mg/d and >1200 mg/d Relative risk, 1.00, 0.79 (0.61–1.03), among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, vitamin use, energy intake Association dissipated after adjusting for dairy intake 
Combined vitamin D and calcium intake         
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) Vitamin D and calcium, ≤400 IU/d and ≤600 mg/d, >800 IU/d and >1200 mg/d Relative risk, 1.00, 0.67 (0.49–0.90) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
Dairy intake         
 Choi, 2005 (8053 HPFS 41,254/1,243 Type 2 DM (validated self-report) 0.5 servings/d and 4.1 servings/d Relative risk, 1.00, 0.82 (0.67–0.1.00) Age, BMI, exercise, diabetes family history, smoking, diet, cholesterol, hypertension Adjustment for calcium intake reduced statistical significance of dairy intake 
 Liu, 2006 (8155 Women’s Health Study 37,183/1,603 Type 2 DM (validated self-report) Low-fat, <0.9 servings/d and ≥ 3 servings/d Relative risk, 1.00, 0.80 (0.67–0.95) Age, BMI, exercise, diabetes family history, smoking, diet, hormone use, cholesterol, hypertension Inverse association persisted after adjusting for calcium, vitamin D intake 
 Pittas, 2006 (5246 Nurses Health Study, 83,779/4,843 Type 2 DM (validated self-report) <1 servings/d and ≥3 servings/d Relative risk, 1.00, 0.89 (0.81–0.99) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, hypertension  
 van Dam, 2006 (7639 Nondiabetics (black) 41,186/1,964 Type 2 DM (validated self-report) Low-fat, 0 servings/d and >1 serving/d Relative risk, 1.00, 0.87 (0.76–1.00) Age, BMI, exercise, diabetes family history, smoking, alcohol, coffee, diet, education  
 Pereira, 2002 (77M/F 18–30 CARDIA, 3,157/909 Metabolic syndrome (ATP-3 criteria) <1.5 servings/d and ≥5 servings/d Relative risk, 1.00, 0.31 (0.14–0.70) among overweight (BMI >25) only Age, sex, BMI, exercise, smoking, diet, energy intake, vitamin use, calcium and vitamin D intake  

See Table 2 legend for abbreviations. To convert 25-OHD concentration to SI units, multiply by 2.459.

What is the association between calcium intake and prevalent type 2 DM or metabolic syndrome?

A potentially important role for calcium status in the development of type 2 DM is suggested by case control studies in which calcium intake was found to be lower in patients with diabetes compared with controls (72). In the analysis from the Women’s Health Study, calcium intake (after adjustment for vitamin D intake) was inversely associated with prevalence of metabolic syndrome (66).

What is the association between calcium intake and incident type 2 DM or metabolic syndrome?

In prospective studies, low calcium intake is consistently found to be inversely associated with incident type 2 DM (52, 66, 75, 76) or the metabolic syndrome (77). In the Nurses Health Study, total (food + supplements) calcium intake was inversely associated with incident type 2 DM after complete multivariate adjustment, including vitamin D intake (52). A similar inverse association was seen in the Black Women’s Health Study, a prospective cohort of approximately 59,000 women aged 21–69 yr at baseline (76). In the latter study, there was no adjustment for vitamin D status, but the association was attenuated after adjustment for magnesium intake. After combining data from the latter two studies, the summary OR (95% CI) for incident type 2 DM was 0.82 (0.72–0.93) for the highest vs. the lowest calcium intake (661–1200 vs. 219–600 mg/d, respectively). The results of these studies highlight an important role for calcium intake.

What is the association between dairy intake and type 2 DM or metabolic syndrome?

The association between calcium and vitamin D status and type 2 DM can also be assessed from studies that report the effects of intake of dairy products on measurements of glycemia and metabolic syndrome. After combining data from cross-sectional studies, the summary OR for prevalence of metabolic syndrome was 0.71 (95% CI, 0.57–0.89) for the highest dairy intake (3–4 servings per day) vs. lowest (0.9–1.7 servings per day) (66, 78, 79), with no apparent heterogeneity among studies. In prospective studies, a moderate inverse association of dairy intake with incident type 2 DM (52, 76, 80, 81) or metabolic syndrome (77) is consistently reported. The summary OR for incident type 2 DM was 0.86 (95% CI, 0.79–0.93) for the highest vs. lowest dairy intake (3–5 vs. <1.5 servings per day, respectively) (52, 76, 80, 81) with no apparent heterogeneity among studies. It is important to note that although calcium and vitamin D are important components of dairy products, their contribution to the measured outcomes cannot be separated from other components in dairy products.

Summary of evidence from human observational studies and future directions

The evidence from observational studies suggests an association between low vitamin D status and calcium intake (including low dairy intake) and risk of type 2 DM or metabolic syndrome. However, definite conclusions from these studies are limited for a variety of reasons. 1) In cross-sectional or case-control studies, vitamin D or calcium status was measured in patients with glucose intolerance or established diabetes; therefore, these measures may not reflect vitamin D or calcium status before diagnosis and, as a result, the causative nature of the observed associations cannot be established. 2) There is considerable variability in studied cohorts [normal glucose tolerance vs. diabetes (newly diagnosed vs. established), ethnicity, latitude etc.]. 3) In most studies, there is a lack of adjustment for important confounders, such as adiposity, physical activity, and importantly, vitamin D or calcium status (for calcium or vitamin D studies, respectively). To clarify the individual contribution of each nutrient to future type 2 DM risk, in the Nurses Health Study, our group examined the combined effects of total (food + supplements) vitamin D and calcium intake on risk of incident type 2 DM (Fig. 1). We observed that, after multivariate adjustment, women with the highest calcium (>1200 mg/d) and vitamin D (>800 IU/d) intake (1.3% of the cohort) had a 33% lower risk of type 2 DM compared with women with the lowest calcium (<600 mg/d) and vitamin D (<400 IU/d) intakes. The lower risk seen with the combined intake was more than that seen with the highest intake of each nutrient separately, which highlights the importance of both nutrients as potential type 2 DM risk modifiers and the need to take into consideration both nutrients in observational studies.

Fig. 1.

Adjusted relative risk of incident type 2 DM in the Nurses Health Study by calcium and vitamin D intake (52 ).

Evidence from Intervention Human Studies

What is the effect of vitamin D supplementation on type 2 DM?

There are four small-scale short-term and two long-term controlled trials that have examined the effect of supplementation with a variety of formulations of vitamin D on type 2 DM parameters. Among 18 young healthy men, supplementation with 1,25-(OH)2D3 for 7 d did not change fasting glycemia or insulin sensitivity (42). In another small study (n = 14) in patients with type 2 DM, 2 μg/d IU of 1-OHD3 administration daily for 3 wk enhanced insulin secretion but had no effect on post-load glucose tolerance (24). Ljunghall et al. (41) randomized 65 middle-aged men with impaired glucose tolerance or mild diabetes and sufficient vitamin D levels at baseline to 0.75 μg/d of 1-OHD3 or placebo for 3 months and found no effect in fasting or stimulated glucose tolerance. In that trial, participants had sufficient vitamin D levels at baseline (mean 25-OHD, 38 ng/ml). In a crossover trial, 20 patients with type 2 DM and vitamin D deficiency were treated for 4 d with 1 μg/d of 1,25-OHD, and no change was seen in fasting or stimulated glucose, insulin, or C-peptide concentrations, but an improvement in insulin and C-peptide secretion was seen in patients with diabetes of short duration (23). The intervention period in this trial was too short to draw definitive conclusions, but it does suggest that vitamin D supplementation at an early stage in the development of diabetes (i.e. glucose intolerance) may be of benefit in delaying progression to clinical type 2 DM, which is supported by more recent data described below (48). Lastly, in a post hoc analyses of a 2-yr trial designed for bone-related outcomes, supplementation with vitamin D3 or 1-OHD3 had no effect on fasting glycemia in postmenopausal nondiabetic women (82).

What is the effect of calcium or dairy supplementation on type 2 DM?

There is limited evidence of an effect of calcium supplementation on diabetes-related parameters from trials that have examined the effects of calcium either alone or as a component of dairy products (Table 5). In 20 nondiabetic patients with essential hypertension, supplementation with 1,500 mg/d of calcium vs. placebo for 8 wk did not influence fasting glycemia but improved insulin sensitivity, as measured by euglycemic hyperinsulinemic clamp (46). Trials with small numbers of nondiabetic participants that have examined the effects of calcium supplementation as a component of dairy products in relation to glycemia or insulin resistance have shown conflicting results, but most studies show a neutral effect (4345, 47, 83).

TABLE 5.

Randomized controlled trials of the effect of vitamin D and/or calcium supplementation on glucose tolerance

First author, year (Ref.)SexAge, mean or range (yr)Study participants25-OHD concentration and calcium intake at baselineInterventionMain outcome (glycemia)Comment and other outcomes
Type and doseDuration
Vitamin D alone         
 Nilas, 1984 (8245–54 Nondiabetic, n = 151 NR Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium 104 wk ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269)  
 Inomata, 1986 (24M/F 36–80 Type 2 DM; n = 14 NR 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) 3 wk ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) ↑, INSAUC 
 Ljunghall, 1987 (4161–65 IGT/mild type 2 DM, n = 65 25-OHD 38 ng/ml 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) 12 wk ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) ↔ IRIVGTT 
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM, n = 20 25-OHD 14 ng/ml 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) 4 d ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration 
 Fliser, 1997 (4226 Healthy, nondiabetic, n = 18 NR 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) 1 wk ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) ↔ IRM 
Calcium alone or dairy supplementation         
 Sanchez, 1997 (46M/F 25–56 Nondiabetic with essential hypertension, n = 20 NR Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) 8 wk ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) ↓ IRM 
 Barr, 2000 (43M/F 55–85 Nondiabetic, n = 204 Calcium intake, 649–801 mg/d Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) 12 wk ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) ↔IRFI 
 Zemel, 2004 (47M/F 18–60 Nondiabetic, obese, n = 32 NR High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) 24 wk ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) ↔INSAUC, ↓ IRFI, not adjusted for weight loss 
 Bowen, 2005 (44M/F 25–64 Nondiabetic, overweight, n = 50 Calcium intake, 787–899 mg/d High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction 16 wk ↔ FPG (data NR); ↔ GLUAUC(data given) ↔ IRFI, INSAUC, protein source was altered 
 Thompson, 2005 (45M/F 25–70 Nondiabetic obese, n = 90 NR Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) 48 wk ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) ↔ INS120, IRFI 
Combined vitamin D plus calcium supplementation         
 Pittas, 2006 (48M/F 71 Normal fasting glucose, n = 222 25-OHD, 30 ng/ml; calcium intake, 750 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) 3 yr ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) ↔ IRHOMA 
 M/F  Impaired fasting glucose, n = 92 25-OHD, 30 ng/ml; calcium intake, 680 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) 3 yr ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) ↓ IRHOMA 
First author, year (Ref.)SexAge, mean or range (yr)Study participants25-OHD concentration and calcium intake at baselineInterventionMain outcome (glycemia)Comment and other outcomes
Type and doseDuration
Vitamin D alone         
 Nilas, 1984 (8245–54 Nondiabetic, n = 151 NR Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium 104 wk ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269)  
 Inomata, 1986 (24M/F 36–80 Type 2 DM; n = 14 NR 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) 3 wk ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) ↑, INSAUC 
 Ljunghall, 1987 (4161–65 IGT/mild type 2 DM, n = 65 25-OHD 38 ng/ml 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) 12 wk ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) ↔ IRIVGTT 
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM, n = 20 25-OHD 14 ng/ml 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) 4 d ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration 
 Fliser, 1997 (4226 Healthy, nondiabetic, n = 18 NR 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) 1 wk ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) ↔ IRM 
Calcium alone or dairy supplementation         
 Sanchez, 1997 (46M/F 25–56 Nondiabetic with essential hypertension, n = 20 NR Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) 8 wk ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) ↓ IRM 
 Barr, 2000 (43M/F 55–85 Nondiabetic, n = 204 Calcium intake, 649–801 mg/d Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) 12 wk ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) ↔IRFI 
 Zemel, 2004 (47M/F 18–60 Nondiabetic, obese, n = 32 NR High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) 24 wk ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) ↔INSAUC, ↓ IRFI, not adjusted for weight loss 
 Bowen, 2005 (44M/F 25–64 Nondiabetic, overweight, n = 50 Calcium intake, 787–899 mg/d High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction 16 wk ↔ FPG (data NR); ↔ GLUAUC(data given) ↔ IRFI, INSAUC, protein source was altered 
 Thompson, 2005 (45M/F 25–70 Nondiabetic obese, n = 90 NR Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) 48 wk ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) ↔ INS120, IRFI 
Combined vitamin D plus calcium supplementation         
 Pittas, 2006 (48M/F 71 Normal fasting glucose, n = 222 25-OHD, 30 ng/ml; calcium intake, 750 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) 3 yr ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) ↔ IRHOMA 
 M/F  Impaired fasting glucose, n = 92 25-OHD, 30 ng/ml; calcium intake, 680 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) 3 yr ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) ↓ IRHOMA 

NR, Not reported; IGT, impaired glucose tolerance (based on FPG or 2hPG); Type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG or self-report); FPG, fasting plasma glucose; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; INSAUC, insulin area-under-the-curve after 75-g glucose load; INS120, insulin value at 120 min after glucose load is given; IR, insulin resistance; 25-OHD: 25-hydroxyvitamin D; IRFI, insulin resistance by fasting insulin; IRHOMA, insulin resistance by homeostasis model assessment; IRM, insulin resistance after euglycemic hyperinsulinemic clamp; IRIVGTT, insulin resistance after iv glucose tolerance test; ↓, decreased (statistically significant); ↑, increased (statistically significant); ↔, no difference (no statistical significance). To convert 25-OHD concentration to SI units, multiply by 2.459; to convert FPG to SI units, multiply by 0.0555.

TABLE 5.

Randomized controlled trials of the effect of vitamin D and/or calcium supplementation on glucose tolerance

First author, year (Ref.)SexAge, mean or range (yr)Study participants25-OHD concentration and calcium intake at baselineInterventionMain outcome (glycemia)Comment and other outcomes
Type and doseDuration
Vitamin D alone         
 Nilas, 1984 (8245–54 Nondiabetic, n = 151 NR Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium 104 wk ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269)  
 Inomata, 1986 (24M/F 36–80 Type 2 DM; n = 14 NR 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) 3 wk ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) ↑, INSAUC 
 Ljunghall, 1987 (4161–65 IGT/mild type 2 DM, n = 65 25-OHD 38 ng/ml 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) 12 wk ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) ↔ IRIVGTT 
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM, n = 20 25-OHD 14 ng/ml 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) 4 d ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration 
 Fliser, 1997 (4226 Healthy, nondiabetic, n = 18 NR 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) 1 wk ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) ↔ IRM 
Calcium alone or dairy supplementation         
 Sanchez, 1997 (46M/F 25–56 Nondiabetic with essential hypertension, n = 20 NR Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) 8 wk ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) ↓ IRM 
 Barr, 2000 (43M/F 55–85 Nondiabetic, n = 204 Calcium intake, 649–801 mg/d Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) 12 wk ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) ↔IRFI 
 Zemel, 2004 (47M/F 18–60 Nondiabetic, obese, n = 32 NR High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) 24 wk ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) ↔INSAUC, ↓ IRFI, not adjusted for weight loss 
 Bowen, 2005 (44M/F 25–64 Nondiabetic, overweight, n = 50 Calcium intake, 787–899 mg/d High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction 16 wk ↔ FPG (data NR); ↔ GLUAUC(data given) ↔ IRFI, INSAUC, protein source was altered 
 Thompson, 2005 (45M/F 25–70 Nondiabetic obese, n = 90 NR Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) 48 wk ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) ↔ INS120, IRFI 
Combined vitamin D plus calcium supplementation         
 Pittas, 2006 (48M/F 71 Normal fasting glucose, n = 222 25-OHD, 30 ng/ml; calcium intake, 750 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) 3 yr ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) ↔ IRHOMA 
 M/F  Impaired fasting glucose, n = 92 25-OHD, 30 ng/ml; calcium intake, 680 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) 3 yr ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) ↓ IRHOMA 
First author, year (Ref.)SexAge, mean or range (yr)Study participants25-OHD concentration and calcium intake at baselineInterventionMain outcome (glycemia)Comment and other outcomes
Type and doseDuration
Vitamin D alone         
 Nilas, 1984 (8245–54 Nondiabetic, n = 151 NR Vitamin D3 2,000 IU/d (n = 25) vs. 1OHD3 0.25 μ g/d (n = 23) vs. placebo (n = 103); all received 500 mg/d calcium 104 wk ↔FPG (change from baseline, [mg/dl]: +2.2 vs. −0.33 vs. +0.1269)  
 Inomata, 1986 (24M/F 36–80 Type 2 DM; n = 14 NR 1OHD3 2 μ g/d (n = 7) vs. placebo (n = 7) 3 wk ↔GLUAUC (change from baseline [mg/2 h/dl]: −21.2 vs. −2.3) ↑, INSAUC 
 Ljunghall, 1987 (4161–65 IGT/mild type 2 DM, n = 65 25-OHD 38 ng/ml 1OHD3 0.75 μ g/d (n = 33) vs. placebo (n = 32) 12 wk ↔FPG (baseline to end-of-study [mg/dl]: 117 to 117 vs. 115 to 117); ↔A1c (baseline to end [%]: 6.46 to 5.90 vs. 6.28 to 5.70) ↔ IRIVGTT 
 Orwoll, 1994 (23M/F 40–70 Non-insulin-treated type 2 DM, n = 20 25-OHD 14 ng/ml 1,25-OHD 1 μ g/d vs. placebo (crossover trial, n = 20) 4 d ↔FPG (baseline to end-of-study [mg/dl]: 214 to 209 vs. 214 to 198); ↔ meal-stimulated PG (data NR) ↔ IRFI, ↔ INSAUC ↑ INSAUC if diabetes of short duration 
 Fliser, 1997 (4226 Healthy, nondiabetic, n = 18 NR 1,25(OH)2D3 1.5 μ g/d (n = 9) vs. placebo (n = 9) 1 wk ↔ FPG (baseline to end-of-study [mg/dl]: 84 to 86 vs. 86 to 88) ↔ IRM 
Calcium alone or dairy supplementation         
 Sanchez, 1997 (46M/F 25–56 Nondiabetic with essential hypertension, n = 20 NR Calcium 1500 mg/d (n = 10) vs. placebo (n = 10) 8 wk ↔ FPG (baseline to end-of-study [mg/dl]: 99 to 102 vs. 96 to 93) ↓ IRM 
 Barr, 2000 (43M/F 55–85 Nondiabetic, n = 204 Calcium intake, 649–801 mg/d Skim/low-fat milk (3 servings/d) (n = 101) vs. usual diet (n = 100) 12 wk ↑ FPG (baseline to end-of-study, [mg/dl] 94 to 94 vs. 95 to 95); ↔A1c (data NR) ↔IRFI 
 Zemel, 2004 (47M/F 18–60 Nondiabetic, obese, n = 32 NR High dairy (calcium 1300 mg/d) [n = 11] vs. high calcium (calcium 1300 mg/d) [n = 11] or low calcium (500 mg/d) [n = 10]; all received energy restriction (−500 kcal/d) 24 wk ↔ FPG (data NR); ↓ GLUAUC (change from baseline, [%]−27 vs. NR vs. NR) ↔INSAUC, ↓ IRFI, not adjusted for weight loss 
 Bowen, 2005 (44M/F 25–64 Nondiabetic, overweight, n = 50 Calcium intake, 787–899 mg/d High dairy protein (calcium 2400 mg/d) [n = 25] vs. high mixed protein (calcium 500 mg/d) [n = 25]; all received energy restriction 16 wk ↔ FPG (data NR); ↔ GLUAUC(data given) ↔ IRFI, INSAUC, protein source was altered 
 Thompson, 2005 (45M/F 25–70 Nondiabetic obese, n = 90 NR Dairy, 2 servings/d [n = 29] vs. dairy, 4 servings/d [n = 30]; all received energy restriction (−500 kcal/d) 48 wk ↔FPG (change from baseline [mg/dl]: −1.4 vs. −4.0); ↔ 2hPG (change from baseline [mg/dl]: 1.6 vs. −5.4) ↔ INS120, IRFI 
Combined vitamin D plus calcium supplementation         
 Pittas, 2006 (48M/F 71 Normal fasting glucose, n = 222 25-OHD, 30 ng/ml; calcium intake, 750 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 108) vs. placebo (n = 114) 3 yr ↔ FPG (change from baseline [mg/dl]: 2.7 vs. 2.2) ↔ IRHOMA 
 M/F  Impaired fasting glucose, n = 92 25-OHD, 30 ng/ml; calcium intake, 680 mg/d D3700 IU/d + calcium citrate 500 mg/d (n = 45) vs. placebo (n = 47) 3 yr ↓ FPG (change from baseline [mg/dl]: 0.4 vs. 6.1) ↓ IRHOMA 

NR, Not reported; IGT, impaired glucose tolerance (based on FPG or 2hPG); Type 2 DM, type 2 diabetes mellitus (based on FPG, 2hPG or self-report); FPG, fasting plasma glucose; 2hPG, plasma glucose 2 h after 75-g glucose load; GLUAUC, glucose area-under-the-curve after 75-g glucose load; INSAUC, insulin area-under-the-curve after 75-g glucose load; INS120, insulin value at 120 min after glucose load is given; IR, insulin resistance; 25-OHD: 25-hydroxyvitamin D; IRFI, insulin resistance by fasting insulin; IRHOMA, insulin resistance by homeostasis model assessment; IRM, insulin resistance after euglycemic hyperinsulinemic clamp; IRIVGTT, insulin resistance after iv glucose tolerance test; ↓, decreased (statistically significant); ↑, increased (statistically significant); ↔, no difference (no statistical significance). To convert 25-OHD concentration to SI units, multiply by 2.459; to convert FPG to SI units, multiply by 0.0555.

What is the effect of combined vitamin D and calcium supplementation on type 2 DM?

In a recent report from our group, post hoc analyses of a trial designed for bone-related outcomes showed that combined supplementation with 700 IU of vitamin D3 and 500 mg of calcium as calcium citrate malate had no effect on glycemia or insulin resistance in 221 adults over age 65 with normal glucose tolerance at baseline (48). However, among participants with impaired fasting glucose at baseline, those who took combined vitamin D3 and calcium supplements had a significantly lower rise in fasting glycemia and insulin resistance at 3 yr compared with those on placebo (0.4 vs. 6.1 mg/dl, respectively) (48). The effect size with combined vitamin D and calcium supplementation seen in this high-risk group was similar in magnitude to the progression of fasting glycemia seen in the Diabetes Prevention Program with intensive lifestyle or metformin (0.2 mg/dl in the lifestyle and 0.2 mg/dl in the metformin arm vs. 5.5 mg/dl in placebo) (84).

Summary of evidence from human intervention studies and future directions

It is difficult to draw definitive conclusions from the available intervention studies with vitamin D and/or calcium supplementation because most studies were short in duration, included few subjects, used a variety of formulations and combinations of vitamin D and calcium among various cohorts, or used post hoc analyses. Furthermore, the contribution of vitamin D and/or calcium in studies with dairy are difficult to interpret because dairy may have additional components affecting glucose metabolism. However, the overall evidence suggests that vitamin D alone probably has no effect in healthy individuals, but combined vitamin D and calcium supplementation may have a role in the prevention of type 2 DM, especially in populations at risk for type 2 DM such as those with glucose intolerance.

Optimal Intake of Vitamin D and Calcium in Relation to Type 2 DM

Currently recommended intake for calcium is 1200 mg/d for adults older than 50 yr, and for vitamin D, 400 IU/d for those aged 51–70 yr and 600 IU/d for those older than 70 yr (85). However, there is growing consensus that vitamin D intakes above the current recommendations may be associated with better health outcomes. Optimal levels of 25-OHD have not been defined, but for a variety of skeletal and nonskeletal outcomes, the most advantageous serum concentration of 25-OHD appears to be 30–40 ng/ml (4). In relation to type 2 DM, it is difficult to draw a definitive conclusion about an optimal level because available studies were done in a variety of cohorts with a large range of 25-OHD levels (Table 2). However, the data suggest that serum 25-OHD concentrations above 20 ng/ml are desirable, but those above 40 ng/ml may be better. To achieve such a 25-OHD concentration, an intake of approximately 1000 IU/d of vitamin D is needed (4, 86). In relation to calcium intake for type 2 DM, the evidence suggests that intakes above 600 mg/d are desirable, but intakes above 1200 mg may be optimal (Tables 25 and Fig. 1).

Data from NHANES III show that vitamin D insufficiency (25-OHD < 25 ng/ml) may affect up to half of the noninstitutionalized adolescent and adult population in the United States, even in the southern latitudes during the winter (87). Additional studies have shown a prevalence of vitamin D insufficiency ranging from 36–100% in a variety of populations including healthy young adults to hospitalized elderly individuals (52, 8890). Insufficiency of calcium status is difficult to document biochemically, but there is concern that Americans are not meeting the recommended intake for calcium (91, 92). Adjusted for day-to-day variation, the median reported intake of calcium in the U.S. population declines with age (ages 51–70 yr, 708 mg/d for men and 571 mg/d for women; older than 70 yr, 702 mg/d for men and 517 mg/d for women) (85, 93). Combined insufficiency in vitamin D and calcium intake may be even more prevalent. In the Nurses Health Study, the group of female nurses with the highest intake of calcium (>1200 mg/d) and vitamin D (>800 IU/d) that was associated with the lowest risk of incidence type 2 DM was only 1.3% of the cohort (52).

Therefore, given the potential link between vitamin D, calcium, and diabetes described above, it is plausible that the rising incidence of type 2 DM may, at least in part, be due to suboptimal vitamin D and calcium status of the U.S. adult population. Furthermore, certain determinants of adequate vitamin D and calcium status (aging, physical inactivity, dark skin, and obesity) are also strong risk factors for type 2 DM. Although this may simply reflect confounding, the link between these risk factors and type 2 DM may, at least partially, be mediated by vitamin D and calcium insufficiency.

Conclusion and Future Directions

There appears to be a relationship between insufficient vitamin D and calcium status and type 2 DM. However, the available human data are limited because most observational studies are cross-sectional, whereas prospective studies have not measured 25-OHD concentration, and there is a paucity of randomized controlled trials with vitamin D and/or calcium supplementation specifically designed for outcomes related to type 2 DM. Although the evidence to date suggests that vitamin D and calcium deficiency influences postprandial glycemia and insulin response while supplementation may be beneficial in optimizing these processes, our understanding of the exact mechanisms by which vitamin D and calcium may promote β-cell function or ameliorate insulin resistance and systemic inflammation is incomplete. It is also not clear whether the effects are additive or synergistic.

Future research should focus on studies within prospective observational cohorts to clarify and quantify the association between calcium intake and 25-OHD concentration, rather than self-reported intake of vitamin D, and incident type 2 DM and should define the individual contributions of each nutrient on type 2 DM risk. Additionally, there is a need for randomized trials to examine the effects of vitamin D and/or calcium supplementation with intermediary endpoints (glucose tolerance, insulin secretion, insulin sensitivity) and ultimately with incident type 2 DM. The results of future studies will define the clinical role of vitamin D and calcium as potential interventions for prevention and management of type 2 DM, which will have significant public health implications because vitamin D and calcium insufficiency is common in U.S. adults, and both interventions can be implemented easily and inexpensively in clinical practice.

Acknowledgments

This work was supported by National Institutes of Health research grants K23 DK61506 and R01 DK76092 (to A.G.P.), U01 AG010353 (to B.D.-H.) and U.S. Department of Agriculture Grant 59-1950-9001 (to B.D.-H.).

The authors have no conflict of interest to disclose.

Abbreviations:

     
  • [Ca2+]i,

    Intracellular cytosolic calcium;

  •  
  • CI,

    confidence interval;

  •  
  • HOMA,

    homeostatic model assessment;

  •  
  • OHD,

    hydroxyvitamin D;

  •  
  • OR,

    odds ratio(s);

  •  
  • type 2 DM,

    type 2 diabetes mellitus.

References

1

Mokdad
AH
,
Ford
ES
,
Bowman
BA
,
Dietz
WH
,
Vinicor
F
,
Bales
VS
,
Marks
JS
2003
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001.
JAMA
289
:
76
79

2

Hu
FB
,
Manson
JE
,
Stampfer
MJ
,
Colditz
G
,
Liu
S
,
Solomon
CG
,
Willett
WC
2001
Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
N Engl J Med
345
:
790
797

3

Benjamin
SM
,
Valdez
R
,
Geiss
LS
,
Rolka
DB
,
Narayan
KM
2003
Estimated number of adults with prediabetes in the US in 2000: opportunities for prevention.
Diabetes Care
26
:
645
649

4

Bischoff-Ferrari
HA
,
Giovannucci
E
,
Willett
WC
,
Dietrich
T
,
Dawson-Hughes
B
2006
Estimation of optimal serum concentrations of 25-hydroxyvitamin D for multiple health outcomes.
Am J Clin Nutr
84
:
18
28

5

Holick
MF
2006
High prevalence of vitamin D inadequacy and implications for health.
Mayo Clin Proc
81
:
353
373

6

Mathieu
C
,
Badenhoop
K
2005
Vitamin D and type 1 diabetes mellitus: state of the art.
Trends Endocrinol Metab
16
:
261
266

7

Toma
M
,
McAlister
FA
,
Bialy
L
,
Adams
D
,
Vandermeer
B
,
Armstrong
PW
2006
Transition from meeting abstract to full-length journal article for randomized controlled trials.
JAMA
295
:
1281
1287

8

Bloch
CA
,
Clemons
P
,
Sperling
MA
1987
Puberty decreases insulin sensitivity.
J Pediatr
110
:
481
487

9

Polonsky
KS
,
Given
BD
,
Hirsch
L
,
Shapiro
ET
,
Tillil
H
,
Beebe
C
,
Galloway
JA
,
Frank
BH
,
Karrison
T
,
Van Cauter
E
1988
Quantitative study of insulin secretion and clearance in normal and obese subjects.
J Clin Invest
81
:
435
441

10

DerSimonian
R
,
Laird
N
1986
Meta-analysis in clinical trials.
Control Clin Trials
7
:
177
188

11

Weyer
C
,
Bogardus
C
,
Mott
DM
,
Pratley
RE
1999
The natural history of insulin secretory dysfunction and insulin resistance in the pathogenesis of type 2 diabetes mellitus.
J Clin Invest
104
:
787
794

12

Hu
FB
,
Meigs
JB
,
Li
TY
,
Rifai
N
,
Manson
JE
2004
Inflammatory markers and risk of developing type 2 diabetes in women.
Diabetes
53
:
693
700

13

Bourlon
PM
,
Billaudel
B
,
Faure-Dussert
A
1999
Influence of vitamin D3 deficiency and 1,25 dihydroxyvitamin D3 on de novo insulin biosynthesis in the islets of the rat endocrine pancreas.
J Endocrinol
160
:
87
95

14

Zeitz
U
,
Weber
K
,
Soegiarto
DW
,
Wolf
E
,
Balling
R
,
Erben
RG
2003
Impaired insulin secretory capacity in mice lacking a functional vitamin D receptor.
FASEB J
17
:
509
511

15

Bland
R
,
Markovic
D
,
Hills
CE
,
Hughes
SV
,
Chan
SL
,
Squires
PE
,
Hewison
M
2004
Expression of 25-hydroxyvitamin D3–1α-hydroxylase in pancreatic islets. J Steroid Biochem Mol Biol 89–
90
:
121
125

16

Milner
RD
,
Hales
CN
1967
The role of calcium and magnesium in insulin secretion from rabbit pancreas studied in vitro.
Diabetologia
3
:
47
49

17

Boucher
BJ
,
Mannan
N
,
Noonan
K
,
Hales
CN
,
Evans
SJ
1995
Glucose intolerance and impairment of insulin secretion in relation to vitamin D deficiency in east London Asians.
Diabetologia
38
:
1239
1245

18

Baynes
KC
,
Boucher
BJ
,
Feskens
EJ
,
Kromhout
D
1997
Vitamin D, glucose tolerance and insulinaemia in elderly men.
Diabetologia
40
:
344
347

19

Chiu
KC
,
Chu
A
,
Go
VL
,
Saad
MF
2004
Hypovitaminosis D is associated with insulin resistance and β-cell dysfunction.
Am J Clin Nutr
79
:
820
825

20

Gedik
O
,
Akalin
S
1986
Effects of vitamin D deficiency and repletion on insulin and glucagon secretion in man.
Diabetologia
29
:
142
145

21

Borissova
AM
,
Tankova
T
,
Kirilov
G
,
Dakovska
L
,
Kovacheva
R
2003
The effect of vitamin D3 on insulin secretion and peripheral insulin sensitivity in type 2 diabetic patients.
Int J Clin Pract
57
:
258
261

22

Lind
L
,
Pollare
T
,
Hvarfner
A
,
Lithell
H
,
Sorensen
OH
,
Ljunghall
S
1989
Long-term treatment with active vitamin D (α-calcidol) in middle-aged men with impaired glucose tolerance. Effects on insulin secretion and sensitivity, glucose tolerance and blood pressure.
Diabetes Res
11
:
141
147

23

Orwoll
E
,
Riddle
M
,
Prince
M
1994
Effects of vitamin D on insulin and glucagon secretion in non-insulin-dependent diabetes mellitus.
Am J Clin Nutr
59
:
1083
1087

24

Inomata
S
,
Kadowaki
S
,
Yamatani
T
,
Fukase
M
,
Fujita
T
1986
Effect of 1 α (OH)-vitamin D3 on insulin secretion in diabetes mellitus.
Bone Miner
1
:
187
192

25

Nyomba
BL
,
Auwerx
J
,
Bormans
V
,
Peeters
TL
,
Pelemans
W
,
Reynaert
J
,
Bouillon
R
,
Vantrappen
G
,
De Moor
P
1986
Pancreatic secretion in man with subclinical vitamin D deficiency.
Diabetologia
29
:
34
38

26

Maestro
B
,
Campion
J
,
Davila
N
,
Calle
C
2000
Stimulation by 1,25-dihydroxyvitamin D3 of insulin receptor expression and insulin responsiveness for glucose transport in U-937 human promonocytic cells.
Endocr J
47
:
383
391

27

Ojuka
EO
2004
Role of calcium and AMP kinase in the regulation of mitochondrial biogenesis and GLUT4 levels in muscle.
Proc Nutr Soc
63
:
275
278

28

Wright
DC
,
Hucker
KA
,
Holloszy
JO
,
Han
DH
2004
Ca2+ and AMPK both mediate stimulation of glucose transport by muscle contractions.
Diabetes
53
:
330
335

29

Williams
PF
,
Caterson
ID
,
Cooney
GJ
,
Zilkens
RR
,
Turtle
JR
1990
High affinity insulin binding and insulin receptor-effector coupling: modulation by Ca2+.
Cell Calcium
11
:
547
556

30

Draznin
B
,
Sussman
K
,
Kao
M
,
Lewis
D
,
Sherman
N
1987
The existence of an optimal range of cytosolic free calcium for insulin-stimulated glucose transport in rat adipocytes.
J Biol Chem
262
:
14385
14388

31

Segal
S
,
Lloyd
S
,
Sherman
N
,
Sussman
K
,
Draznin
B
1990
Postprandial changes in cytosolic free calcium and glucose uptake in adipocytes in obesity and non-insulin-dependent diabetes mellitus.
Horm Res
34
:
39
44

32

Byyny
RL
,
LoVerde
M
,
Lloyd
S
,
Mitchell
W
,
Draznin
B
1992
Cytosolic calcium and insulin resistance in elderly patients with essential hypertension.
Am J Hypertens
5
:
459
464

33

Ohno
Y
,
Suzuki
H
,
Yamakawa
H
,
Nakamura
M
,
Otsuka
K
,
Saruta
T
1993
Impaired insulin sensitivity in young, lean normotensive offspring of essential hypertensives: possible role of disturbed calcium metabolism.
J Hypertens
11
:
421
426

34

Zemel
MB
1998
Nutritional and endocrine modulation of intracellular calcium: implications in obesity, insulin resistance and hypertension.
Mol Cell Biochem
188
:
129
136

35

Draznin
B
,
Sussman
KE
,
Eckel
RH
,
Kao
M
,
Yost
T
,
Sherman
NA
1988
Possible role of cytosolic free calcium concentrations in mediating insulin resistance of obesity and hyperinsulinemia.
J Clin Invest
82
:
1848
1852

36

Draznin
B
,
Sussman
KE
,
Kao
M
,
Sherman
N
1988
Relationship between cytosolic free calcium concentration and 2-deoxyglucose uptake in adipocytes isolated from 2- and 12-month-old rats.
Endocrinology
122
:
2578
2583

37

Draznin
B
,
Lewis
D
,
Houlder
N
,
Sherman
N
,
Adamo
M
,
Garvey
WT
,
LeRoith
D
,
Sussman
K
1989
Mechanism of insulin resistance induced by sustained levels of cytosolic free calcium in rat adipocytes.
Endocrinology
125
:
2341
2349

38

Reusch
JE
,
Begum
N
,
Sussman
KE
,
Draznin
B
1991
Regulation of GLUT-4 phosphorylation by intracellular calcium in adipocytes.
Endocrinology
129
:
3269
3273

39

Lind
L
,
Hanni
A
,
Lithell
H
,
Hvarfner
A
,
Sorensen
OH
,
Ljunghall
S
1995
Vitamin D is related to blood pressure and other cardiovascular risk factors in middle-aged men.
Am J Hypertens
8
:
894
901

40

Scragg
R
,
Sowers
M
,
Bell
C
2004
Serum 25-hydroxyvitamin D, diabetes, and ethnicity in the Third National Health and Nutrition Examination Survey.
Diabetes Care
27
:
2813
2818

41

Ljunghall
S
,
Lind
L
,
Lithell
H
,
Skarfors
E
,
Selinus
I
,
Sorensen
OH
,
Wide
L
1987
Treatment with one-α-hydroxycholecalciferol in middle-aged men with impaired glucose tolerance–a prospective randomized double-blind study.
Acta Med Scand
222
:
361
367

42

Fliser
D
,
Stefanski
A
,
Franek
E
,
Fode
P
,
Gudarzi
A
,
Ritz
E
1997
No effect of calcitriol on insulin-mediated glucose uptake in healthy subjects.
Eur J Clin Invest
27
:
629
633

43

Barr
SI
,
McCarron
DA
,
Heaney
RP
,
Dawson-Hughes
B
,
Berga
SL
,
Stern
JS
,
Oparil
S
2000
Effects of increased consumption of fluid milk on energy and nutrient intake, body weight, and cardiovascular risk factors in healthy older adults.
J Am Diet Assoc
100
:
810
817

44

Bowen
J
,
Noakes
M
,
Clifton
PM
2005
Effect of calcium and dairy foods in high protein, energy-restricted diets on weight loss and metabolic parameters in overweight adults.
Int J Obes (Lond)
29
:
957
965

45

Thompson
WG
,
Rostad Holdman
N
,
Janzow
DJ
,
Slezak
JM
,
Morris
KL
,
Zemel
MB
2005
Effect of energy-reduced diets high in dairy products and fiber on weight loss in obese adults.
Obes Res
13
:
1344
1353

46

Sanchez
M
,
de la Sierra
A
,
Coca
A
,
Poch
E
,
Giner
V
,
Urbano-Marquez
A
1997
Oral calcium supplementation reduces intraplatelet free calcium concentration and insulin resistance in essential hypertensive patients.
Hypertension
29
:
531
536

47

Zemel
MB
,
Thompson
W
,
Milstead
A
,
Morris
K
,
Campbell
P
2004
Calcium and dairy acceleration of weight and fat loss during energy restriction in obese adults.
Obes Res
12
:
582
590

48

Pittas
AG
,
Harris
SS
,
Stark
PC
,
Dawson-Hughes
B
2007
The effects of calcium and vitamin D supplementation on blood glucose and markers of inflammation in non-diabetic adults.
Diabetes Care
30
:
980
986

49

Pradhan
AD
,
Manson
JE
,
Rifai
N
,
Buring
JE
,
Ridker
PM
2001
C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus.
JAMA
286
:
327
334

50

Duncan
BB
,
Schmidt
MI
,
Pankow
JS
,
Ballantyne
CM
,
Couper
D
,
Vigo
A
,
Hoogeveen
R
,
Folsom
AR
,
Heiss
G
2003
Low-grade systemic inflammation and the development of type 2 diabetes: the atherosclerosis risk in communities study.
Diabetes
52
:
1799
1805

51

Cigolini
M
,
Iagulli
MP
,
Miconi
V
,
Galiotto
M
,
Lombardi
S
,
Targher
G
2006
Serum 25-hydroxyvitamin D3 concentrations and prevalence of cardiovascular disease among type 2 diabetic patients.
Diabetes Care
29
:
722
724

52

Pittas
AG
,
Dawson-Hughes
B
,
Li
T
,
Van Dam
RM
,
Willett
WC
,
Manson
JE
,
Hu
FB
2006
Vitamin D and calcium intake in relation to type 2 diabetes in women.
Diabetes Care
29
:
650
656

53

Timms
PM
,
Mannan
N
,
Hitman
GA
,
Noonan
K
,
Mills
PG
,
Syndercombe-Court
D
,
Aganna
E
,
Price
CP
,
Boucher
BJ
2002
Circulating MMP9, vitamin D and variation in the TIMP-1 response with VDR genotype: mechanisms for inflammatory damage in chronic disorders?
QJM
95
:
787
796

54

Campbell
IT
,
Jarrett
RJ
,
Keen
H
1975
Diurnal and seasonal variation in oral glucose tolerance: studies in the Antarctic.
Diabetologia
11
:
139
145

55

Behall
KM
,
Scholfield
DJ
,
Hallfrisch
JG
,
Kelsay
JL
,
Reiser
S
1984
Seasonal variation in plasma glucose and hormone levels in adult men and women.
Am J Clin Nutr
40
:
1352
1356

56

Ishii
H
,
Suzuki
H
,
Baba
T
,
Nakamura
K
,
Watanabe
T
2001
Seasonal variation of glycemic control in type 2 diabetic patients (letter)
.
Diabetes Care
24
:
1503

57

Ford
ES
,
Ajani
UA
,
McGuire
LC
,
Liu
S
2005
Concentrations of serum vitamin D and the metabolic syndrome among U.S. adults.
Diabetes Care
28
:
1228
1230

58

Need
AG
,
O’Loughlin
PD
,
Horowitz
M
,
Nordin
BE
2005
Relationship between fasting serum glucose, age, body mass index and serum 25 hydroxyvitamin D in postmenopausal women.
Clin Endocrinol (Oxf)
62
:
738
741

59

Hypponen
E
,
Power
C
2006
Vitamin D status and glucose homeostasis in the 1958 British birth cohort: the role of obesity.
Diabetes Care
29
:
2244
2246

60

Wareham
NJ
,
Byrne
CD
,
Carr
C
,
Day
NE
,
Boucher
BJ
,
Hales
CN
1997
Glucose intolerance is associated with altered calcium homeostasis: a possible link between increased serum calcium concentration and cardiovascular disease mortality.
Metabolism
46
:
1171
1177

61

Snijder
M
,
van Dam
R
,
Visser
M
,
Deeg
D
,
Seidell
J
,
Lips
P
2006
To: Mathieu C, Gysemans C, Giulietti A, Bouillon R. [Comment on:
Vitamin D and diabetes;
48
:
1247
–1257 (2005)] Diabetologia 49:217–218

62

Bell
NH
,
Greene
A
,
Epstein
S
,
Oexmann
MJ
,
Shaw
S
,
Shary
J
1985
Evidence for alteration of the vitamin D-endocrine system in blacks.
J Clin Invest
76
:
470
473

63

Scragg
R
,
Holdaway
I
,
Singh
V
,
Metcalf
P
,
Baker
J
,
Dryson
E
1995
Serum 25-hydroxyvitamin D3 levels decreased in impaired glucose tolerance and diabetes mellitus.
Diabetes Res Clin Pract
27
:
181
188

64

Wortsman
J
,
Matsuoka
LY
,
Chen
TC
,
Lu
Z
,
Holick
MF
2000
Decreased bioavailability of vitamin D in obesity.
Am J Clin Nutr
72
:
690
693

65

Parikh
SJ
,
Edelman
M
,
Uwaifo
GI
,
Freedman
RJ
,
Semega-Janneh
M
,
Reynolds
J
,
Yanovski
JA
2004
The relationship between obesity and serum 1,25-dihydroxy vitamin D concentrations in healthy adults.
J Clin Endocrinol Metab
89
:
1196
1199

66

Liu
S
,
Song
Y
,
Ford
ES
,
Manson
JE
,
Buring
JE
,
Ridker
PM
2005
Dietary calcium, vitamin D, and the prevalence of metabolic syndrome in middle-aged and older U.S. women.
Diabetes Care
28
:
2926
2932

67

Christiansen
C
,
Christensen
MS
,
McNair
P
,
Nielsen
B
,
Madsbad
S
1982
Vitamin D metabolites in diabetic patients: decreased serum concentration of 24,25-dihydroxyvitamin D.
Scand J Clin Lab Invest
42
:
487
491

68

Stepan
J
,
Wilczek
H
,
Justova
V
,
Havranek
T
,
Skrha
F
,
Wildtova
Z
,
Formankova
J
,
Pacovsky
V
1982
Plasma 25-hydroxycholecalciferol in oral sulfonylurea treated diabetes mellitus.
Horm Metab Res
14
:
98
100

69

Nyomba
BL
,
Bouillon
R
,
Bidingija
M
,
Kandjingu
K
,
De Moor
P
1986
Vitamin D metabolites and their binding protein in adult diabetic patients.
Diabetes
35
:
911
915

70

Pietschmann
P
,
Schernthaner
G
,
Woloszczuk
W
1988
Serum osteocalcin levels in diabetes mellitus: analysis of the type of diabetes and microvascular complications.
Diabetologia
31
:
892
895

71

Aksoy
H
,
Akcay
F
,
Kurtul
N
,
Baykal
O
,
Avci
B
2000
Serum 1,25 dihydroxy vitamin D (1,25(OH)2D3), 25 hydroxy vitamin D (25(OH)D) and parathormone levels in diabetic retinopathy.
Clin Biochem
33
:
47
51

72

Isaia
G
,
Giorgino
R
,
Adami
S
2001
High prevalence of hypovitaminosis D in female type 2 diabetic population
.
Diabetes Care
24
:
1496

73

Ishida
H
,
Seino
Y
,
Matsukura
S
,
Ikeda
M
,
Yawata
M
,
Yamashita
G
,
Ishizuka
S
,
Imura
H
1985
Diabetic osteopenia and circulating levels of vitamin D metabolites in type 2 (noninsulin-dependent) diabetes.
Metabolism
34
:
797
801

74

Heath 3rd
H
,
Lambert
PW
,
Service
FJ
,
Arnaud
SB
1979
Calcium homeostasis in diabetes mellitus.
J Clin Endocrinol Metab
49
:
462
466

75

Colditz
GA
,
Manson
JE
,
Stampfer
MJ
,
Rosner
B
,
Willett
WC
,
Speizer
FE
1992
Diet and risk of clinical diabetes in women.
Am J Clin Nutr
55
:
1018
1023

76

van

Dam
RM
,
Hu
FB
,
Rosenberg
L
,
Krishnan
S
,
Palmer
JR
2006
Dietary calcium and magnesium, major food sources, and risk of type 2 diabetes in U.S. black women.
Diabetes Care
29
:
2238
2243

77

Pereira
MA
,
Jacobs Jr
DR
,
Van Horn
L
,
Slattery
ML
,
Kartashov
AI
,
Ludwig
DS
2002
Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study.
JAMA
287
:
2081
2089

78

Mennen
LI
,
Lafay
L
,
Feskens
EJM
,
Novak
M
,
Lepinay
P
,
Balkau
B
2000
Possible protective effect of bread and dairy products on the risk of the metabolic syndrome.
Nutr Res
20
:
335
347

79

Azadbakht
L
,
Mirmiran
P
,
Esmaillzadeh
A
,
Azizi
F
2005
Dairy consumption is inversely associated with the prevalence of the metabolic syndrome in Tehranian adults.
Am J Clin Nutr
82
:
523
530

80

Choi
HK
,
Willett
WC
,
Stampfer
MJ
,
Rimm
E
,
Hu
FB
2005
Dairy consumption and risk of type 2 diabetes mellitus in men: a prospective study.
Arch Intern Med
165
:
997
1003

81

Liu
S
,
Choi
HK
,
Ford
E
,
Song
Y
,
Klevak
A
,
Buring
JE
,
Manson
JE
2006
A prospective study of dairy intake and the risk of type 2 diabetes in women.
Diabetes Care
29
:
1579
1584

82

Nilas
L
,
Christiansen
C
1984
Treatment with vitamin D or its analogues does not change body weight or blood glucose level in postmenopausal women.
Int J Obes
8
:
407
411

83

Zemel
MB
,
Richards
J
,
Milstead
A
,
Campbell
P
2005
Effects of calcium and dairy on body composition and weight loss in African-American adults.
Obes Res
13
:
1218
1225

84

Knowler
WC
,
Barrett-Connor
E
,
Fowler
SE
,
Hamman
RF
,
Lachin
JM
,
Walker
EA
,
Nathan
DM
2002
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
N Engl J Med
346
:
393
403

85

Food and Nutrient Board, Institute of Medicine

2003
Dietary reference intakes for calcium, phosphorus, magnesium, vitamin D and fluoride.
Washington, DC
:
National Academy Press

86

Hollis
BW
2005
Circulating 25-hydroxyvitamin D levels indicative of vitamin D sufficiency: implications for establishing a new effective dietary intake recommendation for vitamin D.
J Nutr
135
:
317
322

87

Looker
AC
,
Dawson-Hughes
B
,
Calvo
MS
,
Gunter
EW
,
Sahyoun
NR
2002
Serum 25-hydroxyvitamin D status of adolescents and adults in two seasonal subpopulations from NHANES III.
Bone
30
:
771
777

88

McKenna
MJ
1992
Differences in vitamin D status between countries in young adults and the elderly.
Am J Med
93
:
69
77

89

Gloth 3rd
FM
,
Gundberg
CM
,
Hollis
BW
,
Haddad Jr
JG
,
Tobin
JD
1995
Vitamin D deficiency in homebound elderly persons.
JAMA
274
:
1683
1686

90

Thomas
MK
,
Lloyd-Jones
DM
,
Thadhani
RI
,
Shaw
AC
,
Deraska
DJ
,
Kitch
BT
,
Vamvakas
EC
,
Dick
IM
,
Prince
RL
,
Finkelstein
JS
1998
Hypovitaminosis D in medical inpatients.
N Engl J Med
338
:
777
783

91

Fleming
KH
,
Heimbach
JT
1994
Consumption of calcium in the U.S.: food sources and intake levels
.
J Nutr
124
:
1426S
1430S

92

Subar
AF
,
Krebs-Smith
SM
,
Cook
A
,
Kahle
LL
1998
Dietary sources of nutrients among US adults, 1989 to 1991.
J Am Diet Assoc
98
:
537
547

93

Nusser
SM
,
Carriquiry
AL
,
Dodd
KW
,
Fuller
WA
1996
A semiparametric transformation approach to estimating usual daily intake distributions.
J Am Stat Assoc
91
:
1440
1449

94

Johnson
JA
,
Grande
JP
,
Roche
PC
,
Kumar
R
1994
Immunohistochemical localization of the 1,25(OH)2D3 receptor and calbindin D28k in human and rat pancreas
.
Am J Physiol
267
:
E356
E360

95

Maestro
B
,
Davila
N
,
Carranza
MC
,
Calle
C
2003
Identification of a vitamin D response element in the human insulin receptor gene promoter.
J Steroid Biochem Mol Biol
84
:
223
230

96

Maestro
B
,
Molero
S
,
Bajo
S
,
Davila
N
,
Calle
C
2002
Transcriptional activation of the human insulin receptor gene by 1,25-dihydroxyvitamin D(3).
Cell Biochem Funct
20
:
227
232

97

Norman
AW
,
Frankel
JB
,
Heldt
AM
,
Grodsky
GM
1980
Vitamin D deficiency inhibits pancreatic secretion of insulin.
Science
209
:
823
825

98

Kadowaki
S
,
Norman
AW
1984
Dietary vitamin D is essential for normal insulin secretion from the perfused rat pancreas.
J Clin Invest
73
:
759
766

99

Tanaka
Y
,
Seino
Y
,
Ishida
M
,
Yamaoka
K
,
Yabuuchi
H
,
Ishida
H
,
Seino
S
,
Seino
Y
,
Imura
H
1984
Effect of vitamin D3 on the pancreatic secretion of insulin and somatostatin.
Acta Endocrinol (Copenh)
105
:
528
533

100

Cade
C
,
Norman
AW
1986
Vitamin D3 improves impaired glucose tolerance and insulin secretion in the vitamin D-deficient rat in vivo.
Endocrinology
119
:
84
90

101

Chertow
BS
,
Sivitz
WI
,
Baranetsky
NG
,
Clark
SA
,
Waite
A
,
Deluca
HF
1983
Cellular mechanisms of insulin release: the effects of vitamin D deficiency and repletion on rat insulin secretion.
Endocrinology
113
:
1511
1518

102

Clark
SA
,
Stumpf
WE
,
Sar
M
1981
Effect of 1,25 dihydroxyvitamin D3 on insulin secretion.
Diabetes
30
:
382
386

103

Sooy
K
,
Schermerhorn
T
,
Noda
M
,
Surana
M
,
Rhoten
WB
,
Meyer
M
,
Fleischer
N
,
Sharp
GW
, Christakos S.
1999
Calbindin-D(28k) controls [Ca(2+)] (i) and insulin release. Evidence obtained from calbindin-d(28k) knockout mice and β-cell lines.
J Biol Chem
274
:
34343
34349

104

Beaulieu
C
,
Kestekian
R
,
Havrankova
J
,
Gascon-Barre
M
1993
Calcium is essential in normalizing intolerance to glucose that accompanies vitamin D depletion in vivo.
Diabetes
42
:
35
43

105

Yasuda
K
,
Hurukawa
Y
,
Okuyama
M
,
Kikuchi
M
,
Yoshinaga
K
1975
Glucose tolerance and insulin secretion in patients with parathyroid disorders. Effect of serum calcium on insulin release.
N Engl J Med
292
:
501
504

106

Gedik
O
,
Zileli
MS
1977
Effects of hypocalcemia and theophylline on glucose tolerance and insulin release in human beings.
Diabetes
26
:
813
819

107

Fujita
T
,
Sakagami
Y
,
Tomita
T
,
Okamoto
Y
,
Oku
H
1978
Insulin secretion after oral calcium load.
Endocrinol Jpn
25
:
645
648

108

Hochberg
Z
,
Borochowitz
Z
,
Benderli
A
,
Vardi
P
,
Oren
S
,
Spirer
Z
,
Heyman
I
,
Weisman
Y
1985
Does 1,25-dihydroxyvitamin D participate in the regulation of hormone release from endocrine glands?
J Clin Endocrinol Metab
60
:
57
61

109

Visser
M
,
Deeg
DJ
,
Lips
P
2003
Low vitamin D and high parathyroid hormone levels as determinants of loss of muscle strength and muscle mass (sarcopenia): the Longitudinal Aging Study Amsterdam.
J Clin Endocrinol Metab
88
:
5766
5772

110

Simpson
RU
,
Thomas
GA
,
Arnold
AJ
1985
Identification of 1,25-dihydroxyvitamin D3 receptors and activities in muscle.
J Biol Chem
260
:
8882
8891

111

Dunlop
TW
,
Vaisanen
S
,
Frank
C
,
Molnar
F
,
Sinkkonen
L
,
Carlberg
C
2005
The human peroxisome proliferator-activated receptor δ gene is a primary target of 1α,25-dihydroxyvitamin D3 and its nuclear receptor.
J Mol Biol
349
:
248
260

112

Luquet
S
,
Gaudel
C
,
Holst
D
,
Lopez-Soriano
J
,
Jehl-Pietri
C
,
Fredenrich
A
,
Grimaldi
PA
2005
Roles of PPAR δ in lipid absorption and metabolism: a new target for the treatment of type 2 diabetes.
Biochim Biophys Acta
1740
:
313
317

113

Plehwe
WE
,
Williams
PF
,
Caterson
ID
,
Harrison
LC
,
Turtle
JR
1983
Calcium-dependence of insulin receptor phosphorylation.
Biochem J
214
:
361
366

114

Zemel
MB
,
Shi
H
,
Greer
B
,
Dirienzo
D
,
Zemel
PC
2000
Regulation of adiposity by dietary calcium.
FASEB J
14
:
1132
1138

115

McCarty
MF
,
Thomas
CA
2003
PTH excess may promote weight gain by impeding catecholamine-induced lipolysis-implications for the impact of calcium, vitamin D, and alcohol on body weight.
Med Hypotheses
61
:
535
542

116

Levy
J
1999
Abnormal cell calcium homeostasis in type 2 diabetes mellitus: a new look on old disease.
Endocrine
10
:
1
6

117

Riachy
R
,
Vandewalle
B
,
Kerr Conte
J
,
Moerman
E
,
Sacchetti
P
,
Lukowiak
B
,
Gmyr
V
,
Bouckenooghe
T
,
Dubois
M
,
Pattou
F
2002
1,25-dihydroxyvitamin D3 protects RINm5F and human islet cells against cytokine-induced apoptosis: implication of the antiapoptotic protein A20.
Endocrinology
143
:
4809
4819

118

Gysemans
CA
,
Cardozo
AK
,
Callewaert
H
,
Giulietti
A
,
Hulshagen
L
,
Bouillon
R
,
Eizirik
DL
,
Mathieu
C
2005
1,25-Dihydroxyvitamin D3 modulates expression of chemokines and cytokines in pancreatic islets: implications for prevention of diabetes in nonobese diabetic mice.
Endocrinology
146
:
1956
1964

119

van

Etten
E
,
Mathieu
C
2005
Immunoregulation by 1,25-dihydroxyvitamin D3: basic concepts.
J Steroid Biochem Mol Biol
97
:
93
101

120

D’Ambrosio
D
,
Cippitelli
M
,
Cocciolo
MG
,
Mazzeo
D
,
Di Lucia
P
,
Lang
R
,
Sinigaglia
F
,
Panina-Bordignon
P
1998
Inhibition of IL-12 production by 1,25-dihydroxyvitamin D3. Involvement of NF-κB downregulation in transcriptional repression of the p40 gene.
J Clin Invest
101
:
252
262

121

Pittas
AG
,
Joseph
NA
,
Greenberg
AS
2004
Adipocytokines and insulin resistance.
J Clin Endocrinol Metab
89
:
447
452

122

Rabinovitch
A
,
Suarez-Pinzon
WL
,
Sooy
K
,
Strynadka
K
,
Christakos
S
2001
Expression of calbindin-D(28k) in a pancreatic islet β-cell line protects against cytokine-induced apoptosis and necrosis.
Endocrinology
142
:
3649
3655

123

Kadowaki
S
,
Norman
AW
1984
Pancreatic vitamin D-dependent calcium binding protein: biochemical properties and response to vitamin D.
Arch Biochem Biophys
233
:
228
236

124

Christakos
S
,
Barletta
F
,
Huening
M
,
Dhawan
P
,
Liu
Y
,
Porta
A
,
Peng
X
2003
Vitamin D target proteins: function and regulation.
J Cell Biochem
88
:
238
244