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

Table 4 Prevalence odds ratios of nondeployability, predictors of nondeployability and sleep e-Profiles

Item		Nondeployable [n(%)]		pOR	95%CI	P-value
Item		Yes	No	pOR	95%CI	P-value
Musculoskeletal e-Profile and Sleep e-Profile
	Yes	1565(2.8)	5116(9.1)	4.25	3.75–4.81	P ≤ 0.001
	No	7554(13.4)	42,012(74.7)	4.25	3.75–4.81	P ≤ 0.001
Motor Vehicle Accident and Sleep e-Profile
	Yes	3(0.0)	9(0.0)	2.16	0.55–8.52	P = 0.27
	No	9116(16.2)	47,119(83.8)	2.16	0.55–8.52	P = 0.27
Work/Duty-Related Injury and Sleep e-Profile
	Yes	31(0.1)	89(0.2)	2.62	1.63–4.21	P ≤ 0.001
	No	9088(16.1)	47,039(83.6)	2.62	1.63–4.21	P ≤ 0.001

Prevalence odds ratio analysis comparing the likelihood of having a sleep e-Profile in combination with either a musculoskeletal e-Profile, motor vehicle accident or work/duty-related injuries. Soldiers with a musculoskeletal e-Profile and a sleep e-Profile or a work/duty-related injury and a sleep e-Profile were more likely to be nondeployable than soldiers with only one or neither of those conditions

ISSN: 2054-9369