The association between body fat percentage and self-reported depression in the United Arab Emirates

Abstract Background The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the relationship between body fat percentage (BF%) and the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot study participants. Methods We analyzed the UAEHFS pilot data to investigate the association between BF% and PHQ-8 adjusted for age and gender. We used multivariate logistic ordinal regression model. To impute missing values, 100 multiple imputations (MI) were performed using multivariate imputation of classification and regression tree. The statistical analysis was performed using R Statistical Software (version 4.2.0) Results Out of 517 participants, data from 487 (94.2%) were analyzed after excluding participants who didn't fill out the questionnaires. The median age was 30 years (Interquartile Range: 23 - 38). There were more males (67.8%) than females in the UAEHF pilot data. Approximately, 64 (13.1%) of the participant reported depression. The prevalence of obesity was 35.2% in this study population. The estimated odds ratio of BF% from the fitted multivariate logistic ordinal regression model was OR = 1.046 (95% CI: 1.012-1.08), and OR = 1.03 (95% CI: 1.003-1.057) for the omitted data, and MI (sensitivity analysis) respectively. Conclusions High body fat percentage was statistically significantly associated with high risk of reporting depression. Additional research is needed, using the main UAEHFS data (after recruitment is complete), to further investigate the association between body fat percentage and depression. Key messages • Our results can help contribute to the knowledge based on current and potential population mental health in the UAE and Gulf Region. • The main finding of this study that excess body fat is associated with an increased risk of developing depression and vice versa; thus, this could add to the future direction of mental health research.


Background:
The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the relationship between body fat percentage (BF%) and the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot study participants.

Methods:
We analyzed the UAEHFS pilot data to investigate the association between BF% and PHQ-8 adjusted for age and gender. We used multivariate logistic ordinal regression model. To impute missing values, 100 multiple imputations (MI) were performed using multivariate imputation of classification and regression tree. The statistical analysis was performed using R Statistical Software (version 4.2.0) Results: Out of 517 participants, data from 487 (94.2%) were analyzed after excluding participants who didn't fill out the questionnaires. The median age was 30 years (Interquartile Range: 23 -38). There were more males (67.8%) than females in the UAEHF pilot data. Approximately, 64 (13.1%) of the participant reported depression. The prevalence of obesity was 35.2% in this study population. The estimated odds ratio of BF% from the fitted multivariate logistic ordinal regression model was OR = 1.046 (95% CI: 1.012-1.08), and OR = 1.03 (95% CI: 1.003-1.057) for the omitted data, and MI (sensitivity analysis) respectively.

Conclusions:
High body fat percentage was statistically significantly associated with high risk of reporting depression. Additional research is needed, using the main UAEHFS data (after recruitment is complete), to further investigate the association between body fat percentage and depression. Key messages: Our results can help contribute to the knowledge based on current and potential population mental health in the UAE and Gulf Region.
The main finding of this study that excess body fat is associated with an increased risk of developing depression and vice versa; thus, this could add to the future direction of mental health research.

Background:
Diverticulosis is increasing worldwide as a public health problem. The Combined Overview on Diverticular Assessment (CODA) score, merging Diverticular Inflammation and Complication Assessment (DICA) and few clinical parameters, may reliably predict the occurrence of acute diverticulitis and surgery due to complications. Thus, the aim of the study is to confirm the value of DICA classification and to develop and validate the CODA endoscopic-clinical score.

Methods:
A number of 2198 patients, at the first diagnosis of diverticulosis/diverticular disease were enrolled in a multicentre, prospective, international cohort study. Participants were scored according to DICA classifications. A 3-year followup was performed. Survival methods for censored observation were used to develop and validate the CODA score for predicting diverticulitis and surgery.

Conclusions:
DICA endoscopic classification was confirmed to have a significant predictive value in terms of acute diverticulitis occurence/recurrence and risk of surgery. CODA score could provide a new risk stratification tool useful for everyday clinical practice and also with a significant public health impact in terms of treatment effectiveness and decision making.
Key messages: DICA endoscopic classification of diverticular disease is a clear predictor of the outcome of diverticulosis/diverticular disease. The CODA score, combining DICA and few clinical parameters, may reliably predict the occurence of acute diverticulitis and surgery due to complications.
iii466 European Journal of Public Health, Volume 32 Supplement 3, 2022