Table 3.

Estimated Coefficients, Odds Ratios, and Confidence Intervals for Odds Ratios for Perceived Stress in Logistic Regression for Those Respondents Age 40 and Older

	Perceived Stress
	Coefficient Estimates	SE	Odds Ratio	95% CI for Odds Ratio
Demographic variables (Step 1)
Gendera	−0.080	0.064	0.923	0.814-1.046
Job categoryb	−0.185 **	0.066	0.831	0.730-.0947
Employment sectorc	−0.212**	0.065	0.809	0.712-0.918
Average years in job	0.002	0.003	1.002	0.997-1.008
Average hours worked per week	0.014**	0.002	1.014	1.010-1.019
Supervisory dutiesd	0.070	0.066	1.073	0.943-1.220
Demands (Step 2)
Deadlines	0.213**	0.016	1.238	1.200-1.277
Problem solving	0.112**	0.028	1.119	1.058-1.183
Controls (Step 2)
Time	−0.845**	0.072	.430	0.373-0.495
Autonomy	−0.041	0.094	.960	0.799-1.153
Schedule flexibility	−.051	0.098	.951	0.784-1.153
Interactions (Step 3)
Deadline by time	−.088**	0.034	.916	.846-.986
Deadlines by autonomy	−.127**	0.043	.881	.809-.959
Deadlines by schedule flexibility	.010	0.048	1.010	.920-1.110
Problem solving by time	−.079	0.056	.924	.828-1.031
Problem solving by autonomy	.113	0.069	1.120	.979-1.281
Problem solving   by schedule flexibility	−.186*	0.081	.830	.708-.972
Intercept (Step 3)	−1.105**	0.136	.331
N = 6,619	χ2 (df)	−2 log likelihood		Nagelkerke R2
Step 1: Block model	133.89 (6)**	7988.05		0.03
	133.89 (6)**
Step 2: Block model	526.46 (5)**	7462.05		0.13
	660.35 (11)**
Step 3: Block model	22.48 (6)**	7439.57		0.14
	682.82 (17)**

^a0 = women, 1 = men.

^b0 = white collar, 1 = blue collar.

^c1 = public sector, 2 = private sector.

^d0 = no supervisory responsibility, 1 = some supervisory responsibility.

^*p < .05.

^**p < .01.