Table 5.

Results of Linear Regression Models Predicting Cardiometabolic Risk Score: Heterosexual Participants Stratified by Sex

	Model 1: Unadjusted		Model 2: Adjusted for age, nativity, and race/ethnicity		Model 3: Adjusted for covariates in Model 2 + education and income		Model 4: Adjusted for covariates in Model 2 + alcohol consumption, smoking, and physical activity		Model 5: Adjusted for all covariates in Models 2, 3, and 4
Stress score by sex	β(SE)	p value	β(SE)	p value	β(SE)	p value	β(SE)	p value	β(SE)	p value
Males (N = 3,298)
1–2	0.05 (0.08)	.52	0.05 (0.08)	.52	0.02 (0.07)	.76	0.03 (0.08)	.73	0.01 (0.07)	.91
3–4	0.11(0.08)	.16	0.09 (0.08)	.26	0.04(0.08)	.59	0.06 (0.08)	.46	0.03 (0.08)	.75
5 or more	0.12(0.08)	.14	0.08 (0.07)	.31	−0.01 (0.07)	.89	0.02 (0.08)	.82	−0.04(0.08)	.58
None (reference)	–		–		–		–		–
Females (N = 3,369)
1–2	0.07 (0.06)	.23	0.02 (0.05)	.71	−0.01 (0.05)	.85	0.01 (0.06)	.90	−0.01 (0.05)	.80
3–4	0.10(0.06)	.12	0.05 (0.06)	.46	−0.00 (0.07)	.96	0.03 (0.06)	.65	−0.01 (0.07)	.93
5 or more	0.25 (0.07)	.001	0.17(0.08)	.03	0.09 (0.08)	.27	0.14(0.07)	.06	0.08 (0.08)	.29
None (reference)	–		–		–		–		–

Note. All models take into account the complex sample design and sample weights. SE = standard error. Covariates were modeled as follows: race/ethnicity (White, non-White; reference = White); nativity (born in U.S., born outside of U.S.; reference = born in U.S.); high school degree or less (yes/no; reference = no); household income (missing, <$39,999; >$40,000; reference = >$40,000); smoking status (never, previous/intermittent, regular smoker; reference = never); low physical activity (yes/no; reference = no); and past-year binge drinking (yes/no; reference = no).