Table 2.

Heterogeneous variance estimates with age predicting spouses’ cardiometabolic similarity

	Glucose			Carbohydrate Oxidation			Fat Oxidation			SBP			DBP
Univariate	Est.	SE	p	Est.	SE	p	Est.	SE	P	Est.	SE	p	Est.	SE	p
Age	−0.039	0.019	0.034	−0.012	0.021	0.543	−0.020	0.020	0.303	−0.024	0.023	0.300	−0.062	0.020	0.002
	−2 LL	Χ2	p	−2 LL	Χ2	p	−2 LL	Χ2	P	−2 LL	Χ2	p	−2 LL	Χ2	p
Model fit	1087.5	4.2	0.040	−69.4	0.4	0.527	−69.3	1.1	0.294	1320.8	1	0.317	1130.1	9.2	0.002
Adjusted	Est.	SE	p	Est.	SE	p	Est.	SE	P	Est.	SE	p	Est.	SE	p
Age	−0.073	0.023	0.007	−0.021	0.020	0.293	−0.036	0.021	0.088	−0.042	0.028	0.130	−0.071	0.025	0.005
Activity Concordance	0.209	0.068	0.002	0.186	0.068	0.007	0.043	0.063	0.499	0.100	0.084	0.130	0.054	0.074	0.462
Diet Concordance	−0.017	0.024	0.475	0.031	0.020	0.121	0.048	0.021	0.023	−0.026	0.021	0.234	0.016	0.022	0.453
Sleep Concordance	−0.325	0.220	0.140	0.097	0.232	0.676	-0.150	0.237	0.526	0.267	0.195	0.172	0.248	0.172	0.148
	−2 LL	Χ2	p	−2 LL	Χ2	p	−2 LL	Χ2	P	−2 LL	Χ2	p	−2 LL	Χ2	p
Model fit	1019.5	68.0	<.0001	−70.6	1.2	0.753	−66.3	3.0	0.392	1255	65.8	<.0001	1067.5	62.6	<.0001

Note. All results presented in the table are variance estimates. All models included the fixed effects of the individual’s age, abdominal fat, sex, and study visit, but these effects are not depicted. The couple’s age averaged between partners was examined as a predictor of within-couple variance in each cardiometabolic outcome—first in a univariate model, and next in a model including activity, diet, and sleep concordance. In univariate models, log likelihood ratio tests (df=1) evaluated whether the inclusion of age significantly improved model fit. Fully adjusted models examined whether the effects of age held controlling for health behavior concordance. Log likelihood ratio tests (df=3) investigated whether the class of health behavior concordance variables improved model fit, above and beyond age.