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. Author manuscript; available in PMC: 2021 Jul 6.
Published in final edited form as: J Health Soc Behav. 2016 Mar;57(1):59–76. doi: 10.1177/0022146516628179

Table 4.

Couple-level Growth Curve Models Predicting Influence of One Spouse’s Number of Chronic Conditions on Other Spouse’s CES-D, Health and Retirement Study, N = 6,634 Couples.

Variable Only Wife with Chronic Condition (n = 791)
Only Husband with Chronic Condition (n = 951)
Wife and Husband with Chronic Condition (n = 4,892)
Model A
Model B
Model C
Model D
Husband’s CES-D (1) Husband’s CES-D (S) Wife’s CES-D (1) Wife’s CES-D (S) Husband’s CES-D (1) Husband’s CES-D (S) Wife’s CES-D (1) Wife’s CES-D (S)
Husband’s number of conditions (I) .04
(.07)
−.01
(.02)
.11**
(.04)
−.03***
(.01)
Husband’s number of conditions (S) .03
(.07)
(.04)
Wife’s number of conditions (I) .01
(.08)
−.01
(.01)
.03
(.04)
−.02***
(.00)
Wife’s number of conditions (S) .17*
(.07)
.08*
(.04)
Residual variances
 I, CES-D .55*** (.03) 70*** (.08) 1.19*** (.05) 1.67*** (.07)
 S, CES-D .03*** (.00) .01 (.01) .02*** (.00) .03*** (.01)
 I, number of Conditions .55*** (.03) .58*** (.03) .74*** (.01) .88*** (.02)
 S, number of Conditions .01** (.01) .03*** (.02) .03*** (.00) .04*** (.00)
Model fit
 AIC 15058.97 19019.41 87079.81 90408.01
 BIC 15383.39 19349.99 87535.45 90855.04

Note: Celis contain standard errors or variance in parentheses. All models adjust for husband’s and wife’s age at interview, marital duration, educational attainment, race-ethnicity, number of living children, log of household income, number of disabilities, and number of drugs/treatments. CES-D = Center for Epidemiologic Studies-Depression Scale; I= intercept; S= slope; AIC = Akaike information criterion; BIC = Bayesian information criterion.

*

p < .05

**

p < .01

***

p <.001.