ABSTRACT

Introduction

Maintaining healthy, well-trained, and highly qualified armed forces is critical for ensuring military readiness. The purpose of this article is to contribute to the body of research focused on the health of U.S. Navy submariners and to identify the health conditions of U.S. Navy submariners during their final year of active duty service.

Materials and Methods

In this retrospective cohort study, we examined medical records and personnel files of separating U.S. Navy sailors who were: (1) active duty between 2009 and 2018; (2) separated before 2019; and (3) were assigned to a submarine for at least 30 days. Both officers and enlisted service members were included. We linked, described, and analyzed data from the Defense Health Agency, Military Health System Data Repository (MDR), and the Bureau of Naval Personnel (BUPERS). International Classification of Diseases (ICD) diagnoses codes were obtained from MDR. Data collected from BUPERS include age, sex, and rank. We determined the number of individuals who had at least one diagnosed condition (identified as a three-digit ICD code). We report the number of diagnoses and calculate prevalence rates and confidence intervals per condition, as well as prevalence rates per year, using standard formulas. The study was approved by the Naval Submarine Medical Research Laboratory Institutional Review Board.

Results

During the study period, 26,014 submariners separated from the Navy. The average number of separations per year was 2,601. About a third of the separating submariners were in the 25 to 29 age group and over 50% were under 30 years of age. Of the three-digit individual ICD codes, some of the highest operationally relevant rates over the 10-year study period (2009-2018) were for joint disorders (prevalence rate [PR] = 180 per 1,000 submariners), back disorders (PR = 128), and sleep disorders (PR = 134). Three mental-health-related conditions were also among the 20 conditions with the highest rates.

Conclusions

High rates of specific diagnoses such as joint disorders indicate the need for additional study to examine causal relationships, to determine which conditions may contribute to lost work time, early separations, or low rates of reenlistment and which conditions might be a result of specific military occupations or duties. Study strengths are the large number of subjects and the long period of observations. A study weakness was the inability to identify submariners who separated because of health conditions. The overall impact of the study is that it identifies urgent health risks and establishes a way to prioritize future research. Future research should include a focus on medically separated personnel; compare rates for submariners to other military groups including all-Navy and all-Department of Defense; and determine specific and relative risks as a necessary precursor to developing, implementing, and testing risk reduction and health improvement interventions.

INTRODUCTION

The purpose of this article is to identify the health conditions of U.S. Navy submariners during their final year of active duty service. Maintaining healthy, well-trained, and highly qualified armed forces is critical for ensuring military readiness. This foundational examination of the health conditions associated with a particular service’s occupation or duty can lay the groundwork for future studies to:

  • Identify unique profession-specific risks;

  • Identify factors that may lead to early separations;

  • Guide health improvement strategies;

  • Identify conditions that may reduce a service member’s likelihood of reenlisting; and

  • Lead to the development of profession-specific risk reduction interventions.

In addition, an examination of health conditions can provide insights to the resources veterans and retired service members will most likely need once they have rejoined civilian life.

Military service members may have incentives to not report health conditions during their career (e.g., so as not to leave their team shorthanded, or risk early separation due to medical disqualification). However, those concerns may be obviated at the end of their service time due to their inevitable departure. The potential for veteran’s benefits for health conditions reported before separation may incentivize reporting of all health conditions before separation.1,2 Thus, an examination of health conditions reported during the final year of service can identify risks and create a strong foundation for developing risk reduction and health improvement interventions.

Service members separate at retirement, at the end of obligated service, or they have an early separation for health- or non-health-related factors. Non-health-related factors that may lead to early separation include family emergency and disciplinary action. A variety of health-related issues may also lead to early separation from the military; they include mental health issues, medical disqualification, physical illness, and injury. Mental health issues may result from numerous causes and result in a wide spectrum of outcomes.

Two groups of researchers focused on the role that mental health issues play in early separations. Hourani et al. found that some marines who were separating from the service had higher risks for mental health problems (depression, anxiety, and post-traumatic stress disorder); higher levels of pre-separation combat exposure, post-separation stress across multiple life domains, and multiple areas of pain may be contributing factors. The same authors found that protective factors include having higher scores on pre-separation resilience and perceived social support at follow-up.3 Schmied et al. followed 28,693 male marines and found that several specific categories of mental health disorders predicted lower odds of reenlistment; the disorders included: personality disorders, substance use disorders, and post-traumatic stress disorder.4

In research that may have some overlap with mental health issues, Gundlapalli et al. analyzed records of 448,290 active duty service members separated between 2001 and 2012 and found that individuals separated for misconduct were about six times more likely to be homeless within five years compared to all separated members.5

In addition to mental health issues, researchers have identified other health conditions associated with early separation. Rogers et al. found that obstructive sleep apnea may be associated with increased rates of separation.6 New-onset asthma may also lead to early separation.7 Cook et al. found that a history of three or more lifetime concussions was associated with a higher likelihood of separation.8

Some health conditions may arise because of, or are associated with, military service. Uptegraft and Stahlman looked at health conditions reported in the last six months of active duty service compared to earlier in a member’s career. They found that health conditions with the highest increased rates of reporting included mental health conditions, back disorders, sleep disorders, and disorders of the ear.1 One study examined diagnoses entered into a service member’s chart for the first time during the six months before retirement. Among 206,591 service members who retired between 2003 and 2009, 146,860 (71%) had diagnoses that were entered into their charts for the first time within six months of retirement. Of these, the most common were for disorders of the ear, sleep disorders, and hearing loss.9 An examination of service members with 20 years of active service found that the rates of illness and injury diagnoses were about 57% higher for members within six months of retirement compared to members who were 18-24 months pre-retirement.2

Schmied found that there is a gap in “the research pertaining to the health and performance of shipboard Sailors.”10 Among studies of health conditions of submariners, one found that the risks of at-sea injuries were found to vary by age, experience, and job assignment among submariners.11 Beardslee et al. noted the need for more up-to-date research on this population.12 Because Navy submariner is a unique and critical profession, additional research is needed to identify their unique risks. Next steps should include efforts to determine attributable risk as a way to inform injury prevention efforts.

The objective of this study is to describe the health conditions of submariners during each separated sailor’s last year of active duty. During this foundational examination of the health conditions associated with submarine service we calculated the rates of the most frequent three-digit level diagnoses. In this way, we were able to determine the most common health conditions among separating submariners. This research will contribute to a better understanding of the long-term health effects of specific occupational risks and exposures. These new insights will create a foundation for the development of injury prevention programs and other interventions designed to reduce risks and improve both health and readiness of Navy sailors.

METHODS

Study Design

This was a retrospective cohort study. We examined medical records and personnel files of separating U.S. Navy submariners. We included officers and enlisted service members who separated due to retirement, end of agreed service (e.g., at the end of enlistment), or early separation (i.e., leaving the service before the agreed-on end of active duty date). We linked, analyzed, and described data from the Defense Health Agency (DHA), Military Health System Data Repository (MDR), and the Bureau of Naval Personnel (BUPERS).

Participants

The study population included all U.S. Navy sailors who met all four of these criteria: were active duty in the Navy between 2009 and 2018; had a duty code of a Virginia, Los Angeles, Seawolf, or Ohio class submarine; were assigned to a submarine for at least 30 days; and were separated from the Navy before 2019. The study population includes both officers and enlisted personnel; Navy reservists were not included. “Separation” includes retirement (service of at least 20 years) and end of active duty with less than 20 years of service for any reason (including medical discharge, end of obligated duty, etc.). The study population is the 26,014 sailors who met the study criteria.

Variables

The key variable is the set of diagnoses codes described in the World Health Organization’s International Classification of Diseases (ICD).13 During the study period the DHA used both ICD-9 and ICD-10 versions of the codes.14 For the purpose of this study we have back-matched all ICD-10 codes to their corresponding ICD-9 codes. There were 130 unique encounters that resulted in ICD-10 codes that could not be automatically back-mapped to ICD-9; the research team was able to successfully back-map them manually. Other variables include the submariner’s sex, age, and rank.

In the ICD-9, the World Health Organization classifies all the ICD codes into 17 major categories and two supplementary categories15; we did not include the two supplementary categories (“Supplementary Classification of External Causes of Injury and Poisoning” and “Supplementary Classification of Factors Influencing Health Status and Contact With Health Services”). Under the 17 major categories are almost 1,000 three-digit codes, and about 12,000 sub-conditions are described by four- and five-digit codes.16 For example, the most common three-digit code in this study population was “367 – Disorders of refraction and accommodation.” Under 367 are a variety of conditions including Astigmatism (367.2), Regular Astigmatism (367.21), Irregular Astigmatism (367.22), Anisometropia (uneven focus) (367.31), and Presbyopia (farsightedness) (367.4).17

Data Sources/Measurement

BUPERS data include:

  • Demographic data including sex and date of birth;

  • The personal identification numbers issued by the Department of Defense (DoD; DoD ID); and,

  • Career data including date joining the Navy, current rank, current job, unit identification codes (assigned work location), and date and reason for separation.

Using BUPERS data, we selected the DoD ID for sailors who met the study criteria. We classified subjects by demographic factors based on the classification in their BUPERS file on their last day of service. We used those DoD IDs in a search of the MDR database.

The MDR includes codes from inpatient and outpatient medical encounters with both military and private care providers. The MDR “is the centralized data repository that captures, archives, validates, integrates and distributes Defense Health Agency (DHA) corporate health care data worldwide.”18 The MDR contains an electronic health record for every sailor.

The military medical community uses the electronic health record to “capture, manage, and share data on care provided in garrison/installation and on the battlefield, as well as share pertinent health information with the VA.”19 In addition to routine visits, urgent care, and hospitalizations, separating sailors are required to have a separation physical exam and any diagnoses noted during that exam are entered as ICD codes into the sailor’s electronic health record.

From MDR, we downloaded all ICD codes entered into the submariners’ electronic health record during the final year of each individual’s service. ICD data per year were based on the submariner’s last day of active duty. Therefore, if a submariner separated on June 1, 2015, that submariner’s ICD codes from June 1, 2014, to May 31, 2015, were all allocated to 2015. The health record includes a “primary diagnosis” field as well as additional diagnoses fields; we include all codes in any diagnosis field. The data were downloaded in late 2019 so, even if there is a few months lag time between a patent’s visit and the record appearing in the database, we feel confident that all the 2018 data were captured.

Once all the ICD codes were identified, we collapsed all the four- and five-digit codes into their common three-digit codes and, for each submariner, we counted each three-digit code no more than once. For example, if an individual submariner’s record had entries for Irregular Astigmatism (367.22), Anisometropia (uneven focus) (367.31), and Presbyopia (farsightedness) (367.4), we counted only one code of 367 for that submariner. Therefore, the maximum number of times that any single three-digit code could be counted was 26,014 (the total population).

Bias

Retrospective studies have some inherent risks of bias. We minimized the risk of selection and information bias by evaluating all available data from our data sources that met the study’s criteria. These data are collected and used to make medical decisions and military deployment decisions and for payroll and promotions; therefore, there is every reason to believe that they have a high level of accuracy. There was no way for subjects to opt out of the study or to self-select for inclusion.

The individuals making the medical diagnoses (and entering the ICD codes) are all physicians for the Navy. There is no reason to believe that there was any differential referral or diagnoses of any individuals or groups in the study. There is a possibility of some misclassification bias in that some codes may have been entered erroneously, but we have no reason to believe that misclassification is systematic or frequent.

Statistical Methods

We calculated the prevalence rates20 (page 12) and the confidence intervals20 (page 139) using standard formulas.

Ethics

This study received Institutional Review Board approval under protocol NSMRL.2011.0003 as a minimal risk study. Waiver requests of informed consent and The Health Insurance Portability and Accountability Act of 1996 authorization were granted.

Structure

The structure of this article was based on the international “STrengthening the Reporting of OBservational studies in Epidemiology” (STROBE) statement for observational studies.21

RESULTS

During the study period, 26,014 submariners separated; the average number who separated per year was 2,601.

Descriptive Data

Table I shows the number of submariners separated per year for 2009 to 2018 by the demographic factors sex, age, and rank. About a third of the separating submariners were in the 25 to 29 age group and over 50% were under 30 years of age. Almost 60% of the submariners are in the ranks E-4 to E-6 and 84% are enlisted.

TABLE I.

Number of Separating Submariners per Year by Sex, Age, and Rank. 2009 to 2018. (N = 26,014)

2009201020112012201320142015201620172018Total
Male2,6972,6361,9212,3152,4082,5742,5922,9112,9772,94625,977
Female0000244118837
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
18-20697100121113149
21-246196343784864654704144684915144,939
25-298557646877158009279279919829458,593
30-343093332843433964444985425635314,243
35-393132891922182132462483443543682,785
40-443373462483153362972973753783673,296
45-49156149991671281341541451531441,429
50-5939503371715855546381575
≥6000000022015
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
E-1 to E-3307317691722282711962392672212,287
E-4 to E-61,5821,5551,2631,3981,4441,5371,5601,7241,6791,73115,473
E-7 to E-94714693074104253823924274294454,157
O-1 to O-31781491241541382112383153552852,147
O-4 to O-61511331481661521581911962442581,797
O-7 to O-10232343210222
Warrant Officer610812191617201112131
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
2009201020112012201320142015201620172018Total
Male2,6972,6361,9212,3152,4082,5742,5922,9112,9772,94625,977
Female0000244118837
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
18-20697100121113149
21-246196343784864654704144684915144,939
25-298557646877158009279279919829458,593
30-343093332843433964444985425635314,243
35-393132891922182132462483443543682,785
40-443373462483153362972973753783673,296
45-49156149991671281341541451531441,429
50-5939503371715855546381575
≥6000000022015
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
E-1 to E-3307317691722282711962392672212,287
E-4 to E-61,5821,5551,2631,3981,4441,5371,5601,7241,6791,73115,473
E-7 to E-94714693074104253823924274294454,157
O-1 to O-31781491241541382112383153552852,147
O-4 to O-61511331481661521581911962442581,797
O-7 to O-10232343210222
Warrant Officer610812191617201112131
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
TABLE I.

Number of Separating Submariners per Year by Sex, Age, and Rank. 2009 to 2018. (N = 26,014)

2009201020112012201320142015201620172018Total
Male2,6972,6361,9212,3152,4082,5742,5922,9112,9772,94625,977
Female0000244118837
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
18-20697100121113149
21-246196343784864654704144684915144,939
25-298557646877158009279279919829458,593
30-343093332843433964444985425635314,243
35-393132891922182132462483443543682,785
40-443373462483153362972973753783673,296
45-49156149991671281341541451531441,429
50-5939503371715855546381575
≥6000000022015
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
E-1 to E-3307317691722282711962392672212,287
E-4 to E-61,5821,5551,2631,3981,4441,5371,5601,7241,6791,73115,473
E-7 to E-94714693074104253823924274294454,157
O-1 to O-31781491241541382112383153552852,147
O-4 to O-61511331481661521581911962442581,797
O-7 to O-10232343210222
Warrant Officer610812191617201112131
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
2009201020112012201320142015201620172018Total
Male2,6972,6361,9212,3152,4082,5742,5922,9112,9772,94625,977
Female0000244118837
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
18-20697100121113149
21-246196343784864654704144684915144,939
25-298557646877158009279279919829458,593
30-343093332843433964444985425635314,243
35-393132891922182132462483443543682,785
40-443373462483153362972973753783673,296
45-49156149991671281341541451531441,429
50-5939503371715855546381575
≥6000000022015
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014
E-1 to E-3307317691722282711962392672212,287
E-4 to E-61,5821,5551,2631,3981,4441,5371,5601,7241,6791,73115,473
E-7 to E-94714693074104253823924274294454,157
O-1 to O-31781491241541382112383153552852,147
O-4 to O-61511331481661521581911962442581,797
O-7 to O-10232343210222
Warrant Officer610812191617201112131
Total2,6972,6361,9212,3152,4102,5782,5962,9222,9852,95426,014

MAIN RESULTS

Once we identified all the submariners who had at least one diagnosis in each of the three-digit level categories, we determined that there were 117,866 individual diagnoses. Figure 1 illustrates the distribution of those diagnoses among the 17 major ICD categories (for Fig. 1, the nine categories with the smallest numbers are collapsed into “Other”). The categories with the largest number were Nervous System, with 23,311 diagnoses (20%) and Musculoskeletal with 20,576 (17%). Figure 1 also illustrates the major three-digit ICD codes within the Nervous System and Musculoskeletal categories.

Distribution of diagnoses among the 17 major International Classification of Diseases (ICD) categories. The nine major categories with the smallest numbers are collapsed into “Other.” The categories with the largest number were Nervous System, with 23,311 diagnoses (20%), and Musculoskeletal with 20,576 (17%). It also illustrates the major three-digit ICD codes within the Nervous System and Musculoskeletal categories.
FIGURE 1.

Distribution of diagnoses among the 17 major International Classification of Diseases (ICD) categories. The nine major categories with the smallest numbers are collapsed into “Other.” The categories with the largest number were Nervous System, with 23,311 diagnoses (20%), and Musculoskeletal with 20,576 (17%). It also illustrates the major three-digit ICD codes within the Nervous System and Musculoskeletal categories.

Note that each separating submariner could be counted only once in the three-digit level diagnoses but could be counted in the major category level more than once. For example, under the Nervous System major category, submariners could be counted more than once if they had a refraction-related diagnosis and a sleep-disorder diagnosis during the year before separation.

Outcome Data

Table II lists the 27 three-digit ICD codes with the highest PRs among separating submariners. The table includes the rank order by rate, major category, ICD-9 code number, the diagnosis, the number of submariners diagnosed (count), prevalence rate (PR) per 1,000 submariners, and the 95% confidence interval of the rate.

TABLE II.

The 27 Three-digit International Classification of Diseases (ICD) Codes with the Highest Prevalence Rates (PRs) among Separating Submariners. Includes the Rank Order, Major Category, ICD Code Number, Diagnosis, Number of Submariners, the Prevalence Rate (PR) per 1,000, and the 95% Confidence Interval (CI). Arranged by Major ICD Category. 2009 to 2018. (N = 26,014)

RankMajor categoryCodeDiagnosisSubmarinersPRCI lowCI high
9Endocrine272Disorders of Lipoid Metabolism2,4809591.699.1
12Endocrine278Overweight, Obesity and Other hyperalimentation1,8817269.075.6
18Mental300Anxiety, Dissociative and Somatoform Disorders1,3265148.253.7
8Mental305Nondependent Abuse of Drugs2,64810297.9105.7
13Mental309Adjustment Reaction1,6826561.667.7
4Nervous327Organic Sleep Disorders3,477134129.2138.1
1Nervous367Disorders of Refraction and Accommodation8,730336328.5342.6
21Nervous388Other Disorders of Ear1,1714542.447.6
23Nervous389Hearing Loss1,1314340.946.0
11Circulatory401Essential Hypertension1,9837672.979.6
27Respiratory465Acute Upper Respiratory Infections of Multiple or Unspecified Site1,0454037.742.6
22Respiratory477Allergic Rhinitis1,1584542.047.1
15Digestive530Diseases of Esophagus1,5716057.463.4
2Musculoskeletal719Other and Unspecified Disorders of Joint4,671180174.4184.7
26Musculoskeletal723Other Disorders of Cervical Region1,0594138.343.2
5Musculoskeletal724Other and Unspecified Disorders of Back3,322128123.4132.0
14Musculoskeletal726Peripheral Enthesopathies and Allied Syndromes1,6396360.066.1
25Musculoskeletal728Disorders of Muscle Ligament and Fascia1,0714138.743.6
10Musculoskeletal729Other Disorders of Soft Tissues2,0247874.481.2
3Symptoms780General Symptoms4,514174168.5178.6
19Symptoms782Symptoms Involving Skin and Other Integumentary Tissue1,2544845.550.9
16Symptoms784Symptoms Involving Head and Neck1,5676057.363.2
7Symptoms786Symptoms Involving Respiratory System and Other Chest Symptoms2,66210298.4106.2
17Symptoms787Symptoms Involving Digestive System1,3765350.155.7
24Symptoms789Other Symptoms Involving Abdomen and Pelvis1,1044239.944.9
20Symptoms796Other Nonspecific Abnormal Findings1,1794542.747.9
6Symptoms799Other Ill-Defined and Unknown Causes of Morbidity and Mortality2,819108104.4112.4
RankMajor categoryCodeDiagnosisSubmarinersPRCI lowCI high
9Endocrine272Disorders of Lipoid Metabolism2,4809591.699.1
12Endocrine278Overweight, Obesity and Other hyperalimentation1,8817269.075.6
18Mental300Anxiety, Dissociative and Somatoform Disorders1,3265148.253.7
8Mental305Nondependent Abuse of Drugs2,64810297.9105.7
13Mental309Adjustment Reaction1,6826561.667.7
4Nervous327Organic Sleep Disorders3,477134129.2138.1
1Nervous367Disorders of Refraction and Accommodation8,730336328.5342.6
21Nervous388Other Disorders of Ear1,1714542.447.6
23Nervous389Hearing Loss1,1314340.946.0
11Circulatory401Essential Hypertension1,9837672.979.6
27Respiratory465Acute Upper Respiratory Infections of Multiple or Unspecified Site1,0454037.742.6
22Respiratory477Allergic Rhinitis1,1584542.047.1
15Digestive530Diseases of Esophagus1,5716057.463.4
2Musculoskeletal719Other and Unspecified Disorders of Joint4,671180174.4184.7
26Musculoskeletal723Other Disorders of Cervical Region1,0594138.343.2
5Musculoskeletal724Other and Unspecified Disorders of Back3,322128123.4132.0
14Musculoskeletal726Peripheral Enthesopathies and Allied Syndromes1,6396360.066.1
25Musculoskeletal728Disorders of Muscle Ligament and Fascia1,0714138.743.6
10Musculoskeletal729Other Disorders of Soft Tissues2,0247874.481.2
3Symptoms780General Symptoms4,514174168.5178.6
19Symptoms782Symptoms Involving Skin and Other Integumentary Tissue1,2544845.550.9
16Symptoms784Symptoms Involving Head and Neck1,5676057.363.2
7Symptoms786Symptoms Involving Respiratory System and Other Chest Symptoms2,66210298.4106.2
17Symptoms787Symptoms Involving Digestive System1,3765350.155.7
24Symptoms789Other Symptoms Involving Abdomen and Pelvis1,1044239.944.9
20Symptoms796Other Nonspecific Abnormal Findings1,1794542.747.9
6Symptoms799Other Ill-Defined and Unknown Causes of Morbidity and Mortality2,819108104.4112.4
TABLE II.

The 27 Three-digit International Classification of Diseases (ICD) Codes with the Highest Prevalence Rates (PRs) among Separating Submariners. Includes the Rank Order, Major Category, ICD Code Number, Diagnosis, Number of Submariners, the Prevalence Rate (PR) per 1,000, and the 95% Confidence Interval (CI). Arranged by Major ICD Category. 2009 to 2018. (N = 26,014)

RankMajor categoryCodeDiagnosisSubmarinersPRCI lowCI high
9Endocrine272Disorders of Lipoid Metabolism2,4809591.699.1
12Endocrine278Overweight, Obesity and Other hyperalimentation1,8817269.075.6
18Mental300Anxiety, Dissociative and Somatoform Disorders1,3265148.253.7
8Mental305Nondependent Abuse of Drugs2,64810297.9105.7
13Mental309Adjustment Reaction1,6826561.667.7
4Nervous327Organic Sleep Disorders3,477134129.2138.1
1Nervous367Disorders of Refraction and Accommodation8,730336328.5342.6
21Nervous388Other Disorders of Ear1,1714542.447.6
23Nervous389Hearing Loss1,1314340.946.0
11Circulatory401Essential Hypertension1,9837672.979.6
27Respiratory465Acute Upper Respiratory Infections of Multiple or Unspecified Site1,0454037.742.6
22Respiratory477Allergic Rhinitis1,1584542.047.1
15Digestive530Diseases of Esophagus1,5716057.463.4
2Musculoskeletal719Other and Unspecified Disorders of Joint4,671180174.4184.7
26Musculoskeletal723Other Disorders of Cervical Region1,0594138.343.2
5Musculoskeletal724Other and Unspecified Disorders of Back3,322128123.4132.0
14Musculoskeletal726Peripheral Enthesopathies and Allied Syndromes1,6396360.066.1
25Musculoskeletal728Disorders of Muscle Ligament and Fascia1,0714138.743.6
10Musculoskeletal729Other Disorders of Soft Tissues2,0247874.481.2
3Symptoms780General Symptoms4,514174168.5178.6
19Symptoms782Symptoms Involving Skin and Other Integumentary Tissue1,2544845.550.9
16Symptoms784Symptoms Involving Head and Neck1,5676057.363.2
7Symptoms786Symptoms Involving Respiratory System and Other Chest Symptoms2,66210298.4106.2
17Symptoms787Symptoms Involving Digestive System1,3765350.155.7
24Symptoms789Other Symptoms Involving Abdomen and Pelvis1,1044239.944.9
20Symptoms796Other Nonspecific Abnormal Findings1,1794542.747.9
6Symptoms799Other Ill-Defined and Unknown Causes of Morbidity and Mortality2,819108104.4112.4
RankMajor categoryCodeDiagnosisSubmarinersPRCI lowCI high
9Endocrine272Disorders of Lipoid Metabolism2,4809591.699.1
12Endocrine278Overweight, Obesity and Other hyperalimentation1,8817269.075.6
18Mental300Anxiety, Dissociative and Somatoform Disorders1,3265148.253.7
8Mental305Nondependent Abuse of Drugs2,64810297.9105.7
13Mental309Adjustment Reaction1,6826561.667.7
4Nervous327Organic Sleep Disorders3,477134129.2138.1
1Nervous367Disorders of Refraction and Accommodation8,730336328.5342.6
21Nervous388Other Disorders of Ear1,1714542.447.6
23Nervous389Hearing Loss1,1314340.946.0
11Circulatory401Essential Hypertension1,9837672.979.6
27Respiratory465Acute Upper Respiratory Infections of Multiple or Unspecified Site1,0454037.742.6
22Respiratory477Allergic Rhinitis1,1584542.047.1
15Digestive530Diseases of Esophagus1,5716057.463.4
2Musculoskeletal719Other and Unspecified Disorders of Joint4,671180174.4184.7
26Musculoskeletal723Other Disorders of Cervical Region1,0594138.343.2
5Musculoskeletal724Other and Unspecified Disorders of Back3,322128123.4132.0
14Musculoskeletal726Peripheral Enthesopathies and Allied Syndromes1,6396360.066.1
25Musculoskeletal728Disorders of Muscle Ligament and Fascia1,0714138.743.6
10Musculoskeletal729Other Disorders of Soft Tissues2,0247874.481.2
3Symptoms780General Symptoms4,514174168.5178.6
19Symptoms782Symptoms Involving Skin and Other Integumentary Tissue1,2544845.550.9
16Symptoms784Symptoms Involving Head and Neck1,5676057.363.2
7Symptoms786Symptoms Involving Respiratory System and Other Chest Symptoms2,66210298.4106.2
17Symptoms787Symptoms Involving Digestive System1,3765350.155.7
24Symptoms789Other Symptoms Involving Abdomen and Pelvis1,1044239.944.9
20Symptoms796Other Nonspecific Abnormal Findings1,1794542.747.9
6Symptoms799Other Ill-Defined and Unknown Causes of Morbidity and Mortality2,819108104.4112.4

Naval officers reviewed Table II and selected the six most operationally relevant ICD-9 codes with the highest rates over 10 years (2009 to 2018) to illustrate the prevalence rate per 1,000 submariners over time in Figure 2. The six codes by rank, major category, ICD code, diagnosis, and overall rate were:

Prevalence rate (PR) per 1,000 separating submariners of diagnoses by International Classification of Diseases (ICD) code, for six of the most operationally relevant diagnoses among the highest rates, over 10 years (2009-2018).
FIGURE 2.

Prevalence rate (PR) per 1,000 separating submariners of diagnoses by International Classification of Diseases (ICD) code, for six of the most operationally relevant diagnoses among the highest rates, over 10 years (2009-2018).

1Musculoskeletal719Other and Unspecified Disorders of Joint179.6
2Nervous327Organic Sleep Disorders133.7
3Musculoskeletal724Other and Unspecified Disorders of Back127.7
4Mental305Nondependent Abuse of Drugs101.8
5Endocrine272Disorders of Lipoid Metabolism95.3
6Circulatory401Essential Hypertension76.2
1Musculoskeletal719Other and Unspecified Disorders of Joint179.6
2Nervous327Organic Sleep Disorders133.7
3Musculoskeletal724Other and Unspecified Disorders of Back127.7
4Mental305Nondependent Abuse of Drugs101.8
5Endocrine272Disorders of Lipoid Metabolism95.3
6Circulatory401Essential Hypertension76.2
1Musculoskeletal719Other and Unspecified Disorders of Joint179.6
2Nervous327Organic Sleep Disorders133.7
3Musculoskeletal724Other and Unspecified Disorders of Back127.7
4Mental305Nondependent Abuse of Drugs101.8
5Endocrine272Disorders of Lipoid Metabolism95.3
6Circulatory401Essential Hypertension76.2
1Musculoskeletal719Other and Unspecified Disorders of Joint179.6
2Nervous327Organic Sleep Disorders133.7
3Musculoskeletal724Other and Unspecified Disorders of Back127.7
4Mental305Nondependent Abuse of Drugs101.8
5Endocrine272Disorders of Lipoid Metabolism95.3
6Circulatory401Essential Hypertension76.2

DISCUSSION

The major ICD category with the largest number of diagnoses was Nervous System with 20%; Musculoskeletal system disorders accounted for 17% of the diagnoses. At the three-digit code level, the code with the highest rate was Disorders of Refraction and Accommodation, ICD-9 code 367, with a PR of 336. This diagnosis includes conditions such as nearsightedness, farsightedness, and astigmatism; conditions affecting a majority of the U.S. population. The major category Nervous System also includes three other three-digit codes with high rates: organic sleep disorders (PR = 134), ear disorders (PR = 45), and hearing loss (PR = 43).

Although the reliability of comparing these two study results is limited, Uptegraft and Stahlman found that the rate for separating DoD members, for ICD code 327 (organic sleep disorders), was 44.2 per 1,000 personnel,1 compared to the rate of 134 for submariners in this study.

The Uptegraft and Stahlman results showing that 71% of retiring service members had diagnoses entered into their records for the first time during their last six months of duty reinforces the value of evaluating service members at the end of active duty in order to identify all health conditions.

Among separating submariners, the major category with the second highest number of diagnoses was musculoskeletal system and connective tissue; the three-digit code with the second highest rate was for joint disorders. These findings are important because injuries are the cause of 30% to 50% of disability cases.22 Abt et al. found that a large percentage of musculoskeletal injuries among special operations personnel were due to training23; our data did not identify pre-injury activities but future submariner research should examine training as a risk factor. Balcom and Moore found that the relative risk of in-port injuries was 3.5 times higher than at-sea injuries24; future research among submariners should also determine the relative risks of at-sea and in-port injuries.

Mental disorders was the major ICD category with the fourth highest number of diagnoses among separating submariners, and three of the top 20 three-digit level codes were associated with mental health issues. In contrast, for all DoD members, of the 18 diagnoses with the highest rates entered during the 6-month period before retirement, none were mental health related.9

High rates of mental health issues among separating submariners raise concern in part because of Schmied et al.’s findings that mental health disorders predicted lower odds of reenlistment.4 Brigone et al.’s finding that service members who develop mental health conditions have a much higher rate of discharge for disqualification or misconduct25 invites the evaluation of interventions to prevent or reduce the incidence or development of mental health issues among service members. The fact that a high proportion of all military medical evacuations from submarines were associated with mental health emergencies26,27 highlights the potential operational and strategic value of efforts to mitigate mental health conditions. High rates imply the need to evaluate additional mental health screening tools and to consider periodic rescreening. The embedded mental health program is an example of one intervention. That program began in 2012 and embedded behavioral health providers in submarine fleets; it has shown a statistically significant reduction in mental-health-related career terminations among submariners.28

The diagnosis of “organic sleep disorders” was listed in the top 10 highest prevalence rates for submariners. A study of ICD codes that occurred for the first time in the six months before retirement across the DoD found that sleep disorders was the diagnosis with the second highest number of new cases.9 A high rate of sleep disorders raises concerns because of findings that such conditions may be associated with: a “profound negative impact on most domains of health-related quality of life”29; increased rates of occupational injury30,31 and early separation6; and increased risks of mental health conditions32,33 and prostate cancer.34

The finding of a high rate of hearing disorders is in line with the U.S. Department of Veterans Affairs statement that hearing problems, including tinnitus, are the most prevalent service-connected disability among U.S. veterans.35

Although dental disorders were not among the highest rates found in this study, there were 308 dental-related diagnoses reported during the study period. Deutsch found a rate of 5.0 dental disorders per 100,000 person-days at sea among submariners36; 6% of all MEDEVACS from submarines were related to dental emergencies.27 Future research should focus on ways to reduce dental-related emergencies.

Study Strengths and Limitations

The major strengths of the study are the large population, and 10 years of data from multiple data sources.

An ideal way to determine health at separation would be to examine the record of that exam and describe those findings. However, during the study period, the physicians conducting those exams used an article document that was then scanned and appended to the sailor’s medical record. That format makes an examination of the record difficult and time consuming. However, in addition to the article form, the examining physician does enter ICD codes related to findings or follow-up care directly into an electronic database. In order to do an analysis within the time parameters of this project, the research team examined the ICD codes for the sailor’s last year of service. Those are the codes the team used for this study. Currently practicing undersea medical officers assured us that any health conditions found during the separation physical do result in a corresponding ICD code being entered into the sailor’s electronic health record. However, any text comments made by the examining physician were not included in this study. We have no reason to believe that any major findings were missed by analyzing only the ICD codes, however it is possible.

This study analyzes only diagnoses made within the last year of active duty service and could include some medical conditions that were determined during the separation process. It is possible that many conditions, for example the need for corrective lenses, may have been present for many years before separation. Therefore, the high rates of conditions such as disorders of refraction and accommodation (ICD code 367) should be interpreted with caution pending further research.

The available data did not identify sailors who had an early separation due to a health condition. Future research should focus on that group. In order to better determine unique risks to submariners, future analyses should include comparisons of separating submariners to non-separating submariners, all Navy members, all DoD service members, and all separating DoD service members. Those analyses would help identify, for example, any attributable risk and relative influence of submarine work on the development of visual, musculoskeletal, sleep, hearing, or other disorders.

Although there were only 37 female submariners during the study period, the number of female sailors assigned to submarines is growing and future research should focus on identifying any unique health risks that submarine duty may pose for females.

A weakness in this study is the lack of age-adjusted rates; we plan to obtain those data and conduct those analyses for future reports. Future research should also differentiate injuries by those occurring on duty and off duty, those at sea and in port, and those that occur while training versus non-training. Analyses of those data could further define the types of risks faced by submariners. The findings in this study will be most applicable to submariners in the Navy, but some may be generalizable to other branches of the U.S. Armed Forces and to military personnel worldwide.

CONCLUSIONS

An examination of 26,014 separating submariners found that the health conditions with the largest prevalence rates included joint disorders, back disorders, sleep disorders, and three mental-health-related conditions. Study strengths included the large number of subjects and 10 years of data. A weakness was the lack of age-adjusted rates; those analyses are planned for future reports.

This analysis documents current risks and creates a foundation for interventions. High rates for specific diagnoses indicate the urgent need for follow-up research. That future research must examine causal relationships to determine which conditions may contribute to early separations and which conditions might be a result of specific military occupations. That research must determine specific and relative risks as a necessary precursor to developing, implementing, and testing risk reduction and health improvement interventions.

ACKNOWLEDGMENTS

The authors wish to extend special thanks to Erica Casper for her expert contributions to this article and to Naval Submarine Medical Research Laboratory Librarian Cheryl Baker for her help with the literature search. I have obtained written permission from all persons named in Acknowledgments.

FUNDING

This work was supported by the Defense Health Program, funding work unit number F1806.

CONFLICT OF INTEREST STATEMENT

The authors report no conflicts of interest.

DATA SHARING

No additional data are available.

REFERENCES

1.

Uptegraft
CC
,
Stahlman
S
:
Variations in the incidence and burden of illnesses and injuries among non-retiree service members in the earliest, middle, and last 6 months of their careers, active component, US Armed Forces, 2000-2015
.
MSMR
2018
;
25
(
6
):
10
7
.

2.

Armed Forces Health Surveillance Center
:
Illness and injury diagnoses within six months before retirement after 20 or more years of active service, active component, U.S. Armed Forces, 2000-2009
.
MSMR
2010
;
17
(
10
):
2
7
.

3.

Hourani
L
,
Bender
RH
,
Weimer
B
, et al. :
Longitudinal study of resilience and mental health in marines leaving military service
.
J Affect Disord
2012
;
139
(
2
):
154
65
.

4.

Schmied
EA
,
Highfill-mcroy
RM
,
Larson
GE
:
Mental health and turnover following an initial term of military service
.
Mil Med
2012
;
177
(
7
):
766
72
.

5.

Gundlapalli
AV
,
Fargo
JD
,
Metraux
S
, et al. :
Military misconduct and homelessness among US veterans separated from active duty, 2001-2012
.
JAMA
2015
;
314
(
8
):
832
4
.

6.

Rogers
AE
,
Stahlman
S
,
Hunt
DJ
, et al. :
Obstructive sleep apnea and associated attrition, active component, US Armed Forces, January 2004-May 2016
.
MSMR
2016
;
23
(
10
):
2
11
.

7.

Piccirillo
AL
,
Packnett
ER
,
Cowan
DN
, et al. :
Epidemiology of asthma-related disability in the US Armed Forces: 2007–2012
.
J Asthma
2016
;
53
(
7
):
668
78
.

8.

Cook
PA
,
Johnson
TM
,
Martin
SG
, et al. :
A retrospective study of predictors of return to duty versus medical retirement in an active duty military population with blast-related mild traumatic brain injury
.
J Neurotrauma
2018
;
35
(
8
):
991
1002
.

9.

Armed Forces Health Surveillance Center
:
Numbers, proportions, and natures of conditions that are diagnosed for the first time within six months before retirement, active component, U.S. Armed Forces, 2003-2009
.
MSMR
2010
;
17
(
12
):
2
5
.

10.

Schmied
EA
,
Martin
RM
,
Harrison
EM
, et al. :
Studying the health and performance of shipboard sailors: an evidence map
.
Mil Med
2021
;
186
(
5–6
):
e512
24
.

11.

Thomas
TL
,
Parker
AL
,
Horn
WG
, et al. :
Accidents and injuries among U.S. Navy crewmembers during extended submarine patrols, 1997 to 1999
.
Mil Med
2001
;
166
(
6
):
534
40
.

12.

Beardslee
LA
,
Lawson
BD
,
Regis
DM
:
An overview of the unique field of submarine medicine
.
Naval Submarine Medical Research Lab, Groton Ct: DTIC
;
2019
. NSMRL//TR-2019-1333; AD1082304; accessed
February 13, 2020
.

13.

World Health Organization
:
International Classification of Diseases (ICD)
.
2019
. Available at https://www.who.int/classifications/icd/en/; accessed
December 30, 2019
.

14.

Defense Health Agency
:
MHS ICD-10 transition fact sheet
.
2018
. Available at https://health.mil/Reference-Center/Fact-Sheets/2018/05/21/MHS-ICD-10-Transition-Fact-Sheet; accessed
November 15, 2019
.

15.

ICD-9 Classification Data
:
ICD-9-CM diagnosis codes
.
2011
. Available at http://www.icd9data.com/2011/Volume1/default.htm; accessed
July 8, 2020
.

16.

Cartwright
DJ
:
ICD-9-CM to ICD-10-CM codes: what? why? how?
Adv Wound Care
2013
;
2
(
10
):
588
92
.

17.

ICD-9-CM Diagnosis Codes
:
Diseases of the nervous system and sense organs, 320-389
.
Disorders of the Eye and Adnexa, 360-379
.
2011
. Available at http://www.icd9data.com/2011/Volume1/320-389/360-379/367/default.htm; accessed
August 21, 2020
.

18.

Military Health System
:
Data Repository
. Available at https://www.health.mil/Military-Health-Topics/Technology/Clinical-Support/Military-Health-System-Data-Repository; accessed
November 13, 2019
.

19.

Under Secretary of Defense
:
Report on integration of information regarding environmental health hazards into Defense Occupational and Environmental Health Readiness System (DOEHRS)
. 3.
2020
. Available at https://health.mil/Reference-Center/Congressional-Testimonies/2020/10/06/Report-on-Integration-of-Information-Regarding-Environmental-Health-Hazards-into-Defense#; accessed
May 25, 2021
.

20.

Woodward
M
:
Epidemiology: Study Design and Data Analysis
.
CRC press
;
1999
.

21.

Vandenbroucke
JP
,
Von Elm
E
,
Altman
DG
, et al. :
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies
.
Ann Intern Med
2007
;
147
(
8
):
573
7
.

22.

Songer
TJ
,
LaPorte
RE
:
Disabilities due to injury in the military
.
Am J Prev Med
2000
;
18
(
3S
):
33
40
.

23.

Abt
JP
,
Sell
TC
,
Lovalekar
MT
, et al. :
Injury epidemiology of US Army special operations forces
.
Mil Med
2014
;
179
(
10
):
1106
12
.

24.

Balcom
TA
,
Moore
JL
:
Epidemiology of musculoskeletal and soft tissue injuries aboard a US Navy ship
.
Mil Med
2000
;
165
(
12
):
921
4
.

25.

Brignone
E
,
Fargo
JD
,
Blais
RK
, et al. :
Non-routine discharge from military service: mental illness, substance use disorders, and suicidality
.
Am J Prev Med
2017
;
52
(
5
):
557
65
.

26.

Diver
T
:
Mental health crises account for one in ten military evacuations, figures released under FOI show
.
The Telegraph
. Available at https://www.telegraph.co.uk/news/2019/02/02/mental-health-crises-account-one-ten-military-evacuations-figures/,
February
2
,
2019
; accessed
April 11, 2019
.

27.

Hughes
LM
,
Maguire
BJ
,
McAdams
D
, et al. :
Undersea health epidemiology research program
.
Navy and Marine Corps Public Health Conference
.
2019
;
Norfolk, Va
.

28.

Rapley
J
,
Chin
J
,
McCue
B
, et al. :
Embedded mental health: promotion of psychological hygiene within a submarine squadron
.
Mil Med
2017
;
182
(
7
):
e1675
80
.

29.

Haba-Rubio
J
:
Psychiatric aspects of organic sleep disorders
.
Dialogues Clin Neurosci
2005
;
7
(
4
): 335.

30.

Ulfberg
J
,
Carter
N
,
Edling
C
:
Sleep-disordered breathing and occupational accidents
.
Scand J Work Environ Health
2000
;
26
(
3
):
237
42
.

31.

Chau
N
,
Mur
JM
,
Touron
C
, et al. :
Correlates of occupational injuries for various jobs in railway workers: a case‐control study
.
J Occup Health
2004
;
46
(
4
):
272
80
.

32.

Byrne
EM
,
Timmerman
A
,
Wray
NR
, et al. :
Sleep disorders and risk of incident depression: a population case–control study
.
Twin Res Hum Genet
2019
;
22
(
3
):
140
6
.

33.

Garbarino
S
,
Bardwell
WA
,
Guglielmi
O
, et al. :
Association of anxiety and depression in obstructive sleep apnea patients: a systematic review and meta-analysis
.
Behav Sleep Med
2020
;
18
(
1
):
35
57
.

34.

Chung
W-S
,
Lin
C-L
:
Sleep disorders associated with risk of prostate cancer: a population-based cohort study
.
BMC Cancer
2019
;
19
(
1
): 146.

35.

U.S. Department of Veterans Affairs
:
Hearing loss
. Available at https://www.research.va.gov/topics/hearing.cfm; accessed
June 3, 2021
.

36.

Deutsch
WM
:
Dental events during periods of isolation in the US submarine force
.
Mil Med
2008
;
173
(
suppl_1
):
29
37
.

Author notes

Abstract accepted for poster presentation at the 2021 Military Health System Research Symposium (MHSRS), Kissimmee, Florida. August 23 to 27, 2021.

Authors of this study include military service members and employees of the U.S. Government. This work was prepared as part of their official duties. Title 17, U.S.C., §105 provides that copyright protection under this title is not available for any work of the U.S. Government. Title 17, U.S.C., §101 defines a U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.

This study was approved by the Naval Submarine Medical Research Laboratory (NSMRL) Institutional Review Board under protocol NSMRL2011.0003.

The views expressed in this journal article reflect the results of research conducted by the authors and do not necessarily reflect the official policy or position of the Department of the Navy, Department of Defense, nor the U.S. Government.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)