Depression as a psychosocial consequence of occupational injury in the US working population: findings from the medical expenditure panel survey

Table 3 Associations between injury and depression in 35,155 workers according to factors of adjustment

Factors of adjustment	Non-occupational injury		% excess risk explained	Occupational injury		% excess risk explained
	Odds ratio	95% CI		Odds ratio	95% CI
1 Base ^a	1.43	1.19–1.80		1.91	1.43–2.56
2 Socioeconomic status ^b	1.37	1.10–1.73	14.0	1.78	1.34–2.37	14.3
3 Work-related ^c	1.40	1.11–1.76	7.0	1.88	1.41–2.52	3.3
4 Lifestyle^d	1.42	1.13–1.78	2.3	1.77	1.33–2.36	15.4
5 Disability, comorbidity ^e	1.38	1.10–1.74	11.6	1.88	1.41–2.50	3.3
6 Self-rated health status ^f	1.40	1.12–1.77	7.0	1.81	1.36–2.42	11.0
7 Full model ^g	1.36	1.07–1.65	16.3	1.72	1.27–2.32	20.9

% excess risk explained is calculated by [(OR _base – OR _adj)/(OR _base – 1)]*100.
^a adjusted for age, gender, and time.
^b adjusted for factors in base model plus race, education, family income, health care accessibility, and marital status.
^c adjusted for factors in base model plus occupation, work status (full time vs. part time), number of working hours per week, job tenure.
^d adjusted for factors in base model plus smoking, obesity, exercise, alcohol or substance abuse problem.
^e adjusted for factors in base model plus any activity limitation at work, house, or school due to medical condition, cognitive function impairment, and comorbidity.
^f adjusted for factors in base model plus self-rated perceived physical, mental health status.
^g Fully adjusted using risk factors from all models.

ISSN: 1471-2458