Vol.:(0123456789) 1 3
Qual Life Res
DOI 10.1007/s11136-017-1523-7
General health status in army personnel: relations with health
behaviors and psychosocial variables
Samuel Golenbock
1
· Josh B. Kazman
1
· Stephen Krauss
1
· Patricia A. Deuster
1
Accepted: 11 February 2017
© Springer International Publishing Switzerland 2017
and other sociodemographic characteristics had relatively
small efects on general health. Military investigators and
leaders who must rely on various subjective general health
measures should interpret them as a combination of these
factors.
Keywords Comprehensive soldier and Family ftness ·
Emotional ftness · Military health · Sleep quality
Introduction
Service members face a unique combination of health risk
factors when compared with their civilian counterparts:
multiple and prolonged deployments, separation from fam-
ily and support networks, adjustment to new physical and
cultural environments, and irregular sleep–wake sched-
ules [1–3]. Even the most resilient warfghters experience
the toll these stressors can impose on their overall health
and wellbeing. In order to measure an individual’s overall
health, one approach is simply to ask him or her: “How do
you consider your general health?” This type of question,
often referred to as single-item self-rated health (SRH), is
commonly used in population research [4–8]. The present
study explored a variety of health behaviors and their asso-
ciations with SRH in a large sample of Active Duty (AD)
and Reserve/National Guard (RNG) army members.
Background
For a broad range of civilian populations, SRH has been
shown to be an efective and economical way to assess
total health [9–11]. Research has shown that SRH is pre-
dictive of future health services utilization, disability,
Abstract
Purpose Poor self-rated health (SRH) is linked to an
increased risk of injury, future healthcare services utili-
zation, and morbidity and mortality. This study aimed to
identify correlates of a single-item measure of health in
8070 US Army personnel.
Methods Responses were collected from the Army’s
global assessment tool (GAT) 2.0, an online question-
naire that assesses physical and psychosocial health. SRH
was measured by the item, “How do you consider your
health?” (four response categories: “poor,” “fair,” “good,”
and “excellent”). Ordinal logistic regression (OLR) was
used to evaluate how various health and psychosocial fac-
tors contribute to Soldiers’ ratings of SRH. Unadjusted and
adjusted cumulative odds ratios (ORs) are presented and
discussed.
Results Most participants reported “good” health (57%),
followed by “excellent” (24%), “fair” (17%), and “poor”
(2%). Sleep quality (OR 2.48; 95% CI 2.34, 2.63) was the
largest correlate of SRH, followed by obesity (OR 0.50;
95% CI 0.43, 0.58), emotional ftness (OR 1.68, 95% CI
1.56, 1.82), and Army physical ftness test (APFT) scores
(OR 1.43; 95% CI 1.36, 1.51).
Conclusions Single-item measures of self-reported health
can cover a broad spectrum across physical and mental
health. Among a large US Army sample, sleep quality was
most strongly associated with SRH, followed by emotional
ftness and APFT scores. In contrast, service-component
* Samuel Golenbock
samuel.golenbock.ctr@usuhs.edu
1
Department of Military and Emergency Medicine,
Uniformed Services University of the Health Sciences, 4301
Jones Bridge Road, Bethesda, MD 20814, USA