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

doi:10.1186/s40779-020-00239-7

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

RESEARCH | Updated：2023-06-05

- Sleep disturbances and predictors of nondeployability among active-duty army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018
- Sleep disturbances and predictors of nondeployability among active-duty army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018
- MMR 2020年7卷第3期页码：335-342
- Affiliations：
  
  1.Institutes for Behavior Resources, Operational Fatigue and Performance, 2104 Maryland Ave, Baltimore, MD 21218, USA.
  2.Pulmonary, Critical Care and Sleep Medicine Walter Reed National Military Medical Center, Bethesda, MD 20889, USA.
  3.Behavioral Biology Branch, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD 20910, USA.
- Author bio：
  
  * jdevine@ibrinc.org
- Funds：
  
  Department of Defense Military Operational Medicine Research Program (MOMRP)
- DOI：10.1186/s40779-020-00239-7
  中图分类号：
- 纸质出版：2020-09
- Accepted：
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Sleep disturbances and predictors of nondeployability among active-duty army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018[J]. MMR, 2020,7(3):335-342.

Devine et al.: Sleep disturbances and predictors of nondeployability among active-duty Army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018. Mil Med Res, 2020, 7: 10
Sleep disturbances and predictors of nondeployability among active-duty army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018[J]. MMR, 2020,7(3):335-342. DOI： 10.1186/s40779-020-00239-7.

Devine et al.: Sleep disturbances and predictors of nondeployability among active-duty Army soldiers: an odds ratio analysis of medical healthcare data from fiscal year 2018. Mil Med Res, 2020, 7: 10 DOI： 10.1186/s40779-020-00239-7.

摘要

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% (

=281

738) had a sleep-related diagnosis in their healthcare records

9.7%(

=56

247) of soldiers had e-Profiles

and 1.9% (

=10

885) had a sleep e-Profile. Soldiers with sleep e-Profiles were more likely to have had a motor vehicle accident (p

(prevalence odds ratio)=4.7

95% CI 2.63–8.39

≤0.001) or work/duty-related injury (p

=1.6

95% CI 1.32–1.94

≤0.001). The likelihood of nondeployability was greater in soldiers with a sleep e-Profile and a musculoskeletal e-Profile (p

=4.25

95% CI 3.75–4.81

≤0.001) or work/dutyrelated injury (p

=2.62

95% CI 1.63–4.21

≤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.

关键词

Keywords

references

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