Sleep disturbances and predictors of nondeployability among active-duty Army soldiers: An odds ratio analysis of medical healthcare data from fiscal year 2018

Jaime K. Devine*, Jacob Collen, Jake J. Choynowski, Vincent Capaldi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Background: The impact of sleep disorders on active-duty soldiers' medical readiness is not currently quantified. Patient data generated at military treatment facilities can be accessed to create research reports and thus can be used to estimate the prevalence of sleep disturbances and the role of sleep on overall health in service members. The current study aimed to quantify sleep-related health issues and their impact on health and nondeployability through the analysis of U.S. military healthcare records from fiscal year 2018 (FY2018). Methods: Medical diagnosis information and deployability profiles (e-Profiles) were queried for all active-duty U.S. Army patients with a concurrent sleep disorder diagnosis receiving medical care within FY2018. Nondeployability was predicted from medical reasons for having an e-Profile (categorized as sleep, behavioral health, musculoskeletal, cardiometabolic, injury, or accident) using binomial logistic regression. Sleep e-Profiles were investigated as a moderator between other e-Profile categories and nondeployability. Results: Out of 582,031 soldiers, 48.4% (n = 281,738) had a sleep-related diagnosis in their healthcare records, 9.7% (n = 56,247) of soldiers had e-Profiles, and 1.9% (n = 10,885) had a sleep e-Profile. Soldiers with sleep e-Profiles were more likely to have had a motor vehicle accident (pOR (prevalence odds ratio) =4.7, 95% CI 2.63-8.39, P ≤ 0.001) or work/duty-related injury (pOR = 1.6, 95% CI 1.32-1.94, P ≤ 0.001). The likelihood of nondeployability was greater in soldiers with a sleep e-Profile and a musculoskeletal e-Profile (pOR = 4.25, 95% CI 3.75-4.81, P ≤ 0.001) or work/duty-related injury (pOR = 2.62, 95% CI 1.63-4.21, P ≤ 0.001). Conclusion: Nearly half of soldiers had a sleep disorder or sleep-related medical diagnosis in 2018, but their sleep problems are largely not profiled as limitations to medical readiness. Musculoskeletal issues and physical injury predict nondeployability, and nondeployability is more likely to occur in soldiers who have sleep e-Profiles in addition to these issues. Addressing sleep problems may prevent accidents and injuries that could render a soldier nondeployable.

Original languageEnglish
Article number9
JournalMilitary Medical Research
Volume7
Issue number1
DOIs
StatePublished - 10 Mar 2020
Externally publishedYes

Keywords

  • Behavioral sleep medicine
  • Big data
  • Data mining
  • Deployability
  • Healthcare records
  • Medical readiness
  • Military

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