Table 3.

Results of ordinal regression predicting count of MetS components.

						95% CI
	B	S.E.	Wald	p	Exp(B)	Lower	Upper
Model 1 (N = 354)
Early-life SES	.48	.20	5.88	.015*	1.61	1.10	2.36
Model 2 (N = 354)
Current SES	.31	.19	2.48	.12	1.36	.93	1.99
Model 3 (N = 354)
Early-life SES	.48	.20	5.90	.015*	1.61	1.10	2.38
Current SES	.27	.20	1.90	.17	1.31	.89	1.93
Early-life SES × Current SES	−.25	.20	1.63	.20	.78	.53	1.14
Model 4 (N = 328)
Age	.03	.01	11.29	.001	1.04	1.01	1.06
Sex	.16	.21	.57	.45	1.17	.78	1.76
Race/ethnicity	.04	.25	.03	.87	1.04	.64	1.69
Alcohol use	−.25	.15	2.74	.098	.78	.58	1.05
Cigarette smoking	.33	.18	3.39	.066	1.39	.98	1.98
Physical activity	−.02	.02	1.22	.27	.98	.95	1.01
Early-life SES	.41	.21	3.72	.054Δ	1.51	.99	2.29
Current SES	.20	.21	.84	.36	1.22	.80	1.85
Early-life SES × Current SES	−.30	.21	2.03	.15	.74	.50	1.12

Df = degrees of freedom. CI = confidence interval for Exp(B).

^*p < .05.

^Δp < .10.

Early-life SES and current SES are effect-coded such that coefficients represent the effect of being low SES.