The relationship between perceived support and depression in spousal care partners: a dyadic approach

Abstract

Objectives

Caregiving within a spousal partnership marks a novel relationship stage for couples. Caregiving introduces new stressors and affects couples’ ability to cope, and potentially alters perceptions of emotional support. Prior research on older married couples illustrates how perceived support not only affects an individual’s mental health, but also that of their partner. To date, the dyadic relationship between emotional support and mental health is largely unexamined among caregiving partners, where support expectations may differ.

Method

Actor partner interdependence models using linear mixed modeling were applied to data from spouses where one partner received caregiving within the 2014 and 2016 waves of the Health and Retirement Study. We examined the cross-sectional and lagged associations between perceived emotional support and strain from a spouse on actor and partner depression scores, as well as whether one was the caregiver or the care recipient moderated associations.

Results

More positive perceptions of support were associated with lower depression scores for oneself (b= −0.55, p < 0.001) and one’s partner (b= −0.24, p < 0.001). Actor effects—how one’s own perceptions of support associate with one’s own depressive symptomology—were stronger for care recipients than for caregivers (b= −0.83, p < 0.001 v. b= −0.26, p < 0.05). Higher perceptions of strain were also associated with higher depression scores for oneself (b = 0.57, p < 0.001) and one’s partner (b = 0.39, p < 0.001), associations that remained even in lagged models.

Conclusions

The observation of both actor and partner effects in this study suggests opportunities to improve care recipient outcomes through intervention with caregivers or both members of the care dyad.

Keywords:

• Caregiving
• depression
• social support

Acknowledgments

This study employs a secondary analysis of the Health and Retirement Study (HRS). Data files and documentation are for public use and available at http://hrs.isr.umich.edu. The HRS is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan. This study was not pre-registered. Information regarding analyses are available upon request.

Disclosure statement

The authors have no conflicts of interest to declare.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

The project described was supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant TL1 TR002647. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.