Kylie Meyer1, Neela Patel2, Carole White1. 1. School of Nursing, UT Health San Antonio, San Antonio, TX, USA. 2. Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
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.
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.
Authors: Kira S Birditt; Nicky J Newton; James A Cranford; Lindsay H Ryan Journal: J Gerontol B Psychol Sci Soc Sci Date: 2015-04-07 Impact factor: 4.077
Authors: Lyndsey M Miller; Joel S Steele; Chao-Yi Wu; Jeffrey Kaye; Hiroko H Dodge; Mitzi M Gonzales; Karen S Lyons Journal: Front Psychiatry Date: 2022-09-13 Impact factor: 5.435