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

Author:

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

Abstract

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.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference31 articles.

1. Milley TM. Readiness for ground combat is No. 1 priority. 2015. https://www.armytimes.com/news/pentagon-congress/2015/08/28/milley-readiness-for-ground-combat-is-no-1-priority/. Accessed 19 May 2019.

2. Nataraj S, Markel MW, Hastings JL, Larson EV, Luoto JE, Maerzluft CE, et al. Evaluating the Army's ability to regenerate: history and future options. Santa Monica: RAND Corporation; 2018. https://apps.dtic.mil/dtic/tr/fulltext/u2/1055515.pdf. ISBN: 978-0-8330-9663-0.

3. Arnold S, Crate C, Drennan S, Gaylord J, Hoffmann A, Martin D, et al. Non-deployable soldiers: understanding the Army's challenge. Carlisle Barracks: US Army War College; 2011. https://apps.dtic.mil/dtic/tr/fulltext/u2/a560651.pdf.

4. Cox M. Army releases deploy-or-out rules for administratively sidelined troops. 2018. https://www.military.com/daily-news/2018/11/13/army-releases-deploy-or-out-rules-administratively-sidelined-troops.html. Accessed 26 August 2019.

5. Williams A. MEDPROS an important part of Soldiers' readiness. 2012. https://www.army.mil/article/83121/medpros_an_important_part_of_soldiers_readiness. Accessed 20 May 2019.

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