Cited by 33Sleep and related disordersSleep and Work-Related FatigueSleep and Wakefulness Research

Sleep and high-risk behavior in military service members: a mega-analysis of four diverse U.S. Army units

Mantua, Janna, Bessey, Alexxa F, Mickelson, Carolyn A, Choynowski, Jake J, Noble, Jeremy J, Burke, Tina M, McKeon, Ashlee B, Sowden, Walter J·2021·SLEEP

Abstract

Experimental sleep restriction and deprivation lead to risky decision-making. Further, in naturalistic settings, short sleep duration and poor sleep quality have been linked to real-world high-risk behaviors (HRB), such as reckless driving or substance use. Military populations, in general, tend to sleep less and have poorer sleep quality than nonmilitary populations due to a number of occupational, cultural, and psychosocial factors (e.g. continuous operations, stress, and trauma). Consequently, it is possible that insufficient sleep in this population is linked to HRB. To investigate this question, we combined data from four diverse United States Army samples and conducted a mega-analysis by aggregating raw, individual-level data (n = 2,296, age 24.7 ± 5.3). A negative binomial regression and a logistic regression were used to determine whether subjective sleep quality (Pittsburgh Sleep Quality Index [PSQI], Insomnia Severity Index [ISI], and duration [h]) predicted instances of military-specific HRB and the commission of any HRB (yes/no), respectively. Poor sleep quality slightly elevated the risk for committing HRBs (PSQI Exp(B): 1.12 and ISI Exp(B): 1.07), and longer duration reduced the risk for HRBs to a greater extent (Exp(B): 0.78), even when controlling for a number of relevant demographic factors. Longer sleep duration also predicted a decreased risk for commission of any HRB behaviors (Exp(B): 0.71). These findings demonstrate that sleep quality and duration (the latter factor, in particular) could be targets for reducing excessive HRB in military populations. These findings could therefore lead to unit-wide or military-wide policy changes regarding sleep and HRB.

Integrity signals

Registry

Crossref · 10.1093/sleep/zsaa221

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Mantua, J., Bessey, A. F., Mickelson, C. A., Choynowski, J. J., Noble, J. J., Burke, T. M., McKeon, A. B., & Sowden, W. J.
Affiliations
  • Walter Reed Army Institute of Research (US)
  • Clemson University (US)
  • 75th Ranger Regiment Headquarters, Ft. Benning, GA
  • Tripler Army Medical Center (US)
Corresponding author
Mantua, Janna
Venue
SLEEP
Published
2020-10-30
Volume
44
Issue
4
ISSN
  • 0161-8105 (ISSN-L)
  • 1550-9109
OpenAlex
W3097833516
Cited by
33
References
46
Citations by year
2026: 4 · 2025: 5 · 2024: 3 · 2023: 7 · 2022: 9 · 2021: 5
FWCI
5.07
Type
journal article
Language
en
Open access
closed
Locations
  • SLEEP (publishedVersion, public-domain)
  • PubMed (publishedVersion)
Funders
Department of Defense Military Operational Medicine Research Program
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
Keywords
sleep quality, sleep duration, high-risk behaviors, military personnel, United States Army, risky decision making, sleep deprivation, insomnia, Pittsburgh Sleep Quality Index, Insomnia Severity Index, sleep policy
MeSH terms
Adult, Humans, Sleep Initiation and Maintenance Disorders, Military Personnel, Risk-Taking, Sleep, Sleep Deprivation, United States, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review