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

Table 2 Prevalence odds ratios of having a sleep e-Profile and other e-Profile category, accident, injury, and nondeployability

Item	Sleep e-Profile [n (%)]		pOR	95%CI	P-Value
Item	Yes	No	pOR	95%CI	P-Value
Nondeployable
Yes No	2027(3.6)	7092(12.6)	0.81	0.77–0.85	P ≤ 0.001
Yes No	8858(15.8)	38,270(68.0)	0.81	0.77–0.85	P ≤ 0.001
Musculoskeletal e-Profile
Yes	6740(12.0)	34,470(61.2)	0.51	0.49–0.54	P ≤ 0.001
No	4145(7.4)	10,892(19.4)	0.51	0.49–0.54	P ≤ 0.001
Cardiometabolic e-Profile
Yes	46(0.1)	1322(2.5)	0.67	0.60–0.75	P ≤ 0.001
No	10,418(19.0)	44,040(78.4)	0.67	0.60–0.75	P ≤ 0.001
Behavioral health e-Profile
Yes	1040(1.8)	4470(8.0)	1.04	0.96–1.11	P = 0.34
No	9845(17.5)	40,892(72.7)	1.04	0.96–1.11	P = 0.34
Motor vehicle accident
Yes	12(0.1)	234(0.4)	4.7	2.63–8.39	P ≤ 0.001
No	10,873(19.3)	45,128(80.2)	4.7	2.63–8.39	P ≤ 0.001
Work/duty-related injury
Yes	120(0.2)	794(1.4)	1.6	1.32–1.94	P ≤ 0.001
No	10,765(19.1)	44,568(79.3)	1.6	1.32–1.94	P ≤ 0.001

Prevalence odds ratio analysis of the likelihood of comorbidity between sleep e-Profiles and other e-Profile types. Soldiers with sleep e-Profiles were more likely to have a musculoskeletal e-Profile, motor vehicle accident, or work/duty-related injury than soldiers without a sleep e-Profile

ISSN: 2054-9369