Table 2.
Predictor variables | Model 1: direct effects of stress and NMQ | Model 2: moderating role of NMQ on stress–WC link | Model 3: do the effects vary by gender? |
---|---|---|---|
b (SE) | b (SE) | b (SE) | |
Actor stress | .00 (0.04) | .00 (0.05) | .01 (0.05) |
Partner stress | .11 (0.05)* | .10 (0.05)* | .12 (0.05)* |
Actor × partner stress | −.03 (0.03) | −.03 (0.03) | −.02 (0.03) |
Actor NMQ | .02 (0.10) | .01 (0.11) | .02 (0.11) |
Partner NMQ | −.05 (0.10) | −.06 (0.10) | −.03 (0.11) |
Actor × partner NMQ | .12 (0.16) | .09 (0.18) | .06 (0.18) |
Actor stress × actor NMQ | .02 (0.07) | .04 (0.07) | |
Actor stress × partner NMQ | −.02 (0.08) | −.07 (0.08) | |
Partner stress × actor NMQ | .02 (0.08) | .02 (0.09) | |
Partner stress × partner NMQ | .06 (0.07) | .13 (0.08) | |
Actor stress × gender | .01 (0.05) | ||
Partner stress × gender | −.02 (0.05) | ||
Actor stress × partner stress × gender | −.03 (0.03) | ||
Actor NMQ × gender | −.16 (0.12) | ||
Partner NMQ × gender | .26 (0.12)* | ||
Actor NMQ × partner NMQ × gender | .18 (0.13) | ||
Actor stress × actor NMQ × gender | .04 (0.07) | ||
Actor stress × partner NMQ × gender | −.09 (0.08) | ||
Partner stress × actor NMQ × gender | −.17 (0.08)* | ||
Partner stress × partner NMQ × gender | .24 (0.07)** | ||
−2 Log likelihood | 9,909.2 | 9,908.1 | 9,883.8 |
Change in likelihood | 6.9 | 1.1 | 24.3** |
Notes: NMQ = negative marital quality; WC = waist circumference. Change in likelihood in Model 1 is based on comparison with a covariate-only model (9,916.1). Change in likelihood for Models 2 is change from Model 1 and for Model 3 is change from Model 2. Models controlled for Wave 1 waist circumference (of both actor and partner), education, number of years married, marital order, number of children, race, gender, and age.
*p < .05, **p < .01.