Table 4.

General Linear Model Showing Relationship of Depression Severity (PHQ-9 Score), Demographics, and Health Status to Productivity Loss^*

Parameter	Estimate	Error	t Value	Pr > |t|
Intercept	36.50	1.74
PHQ-9 Score**	1.65	0.24	6.98	<.0001
Age	0.006	0.08	0.07	0.94
Gender Male	1.89	2.32	0.82	0.41
Minority	3.36	3.30	1.02	0.31
Health Fair/Poor	4.80	2.39	2.01	0.05
Education – High School or Less	−1.44	2.30	−0.62	0.53
Employed Part-time	−9.85	2.60	−3.79	<.001
Marital Status: Not Coupled	3.73	2.06	1.81	0.07

^*Productivity loss is defined as the combination of absenteeism (percent of time missed in the past 7 days due to health) and presenteeism (percent impairment at work in the past 7 days due to health). These measures were obtained from the Work Productivity and Activity Impairment Questionnaire (WPAI).

^**The general linear model shows the relationship between PHQ-9 Scores and productivity loss adjusted for all other variable listed in the table.