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Aspects of Caregiving

Social support, social participation, & depression among caregivers and non-caregivers in Canada: a population health perspective

ORCID Icon, , &
Pages 765-773 | Received 30 Jun 2018, Accepted 30 Oct 2018, Published online: 06 Dec 2018
 

Abstract

Objectives: The study used data from the Canadian Longitudinal Study on Aging to investigate the relationships among social support (measured as affectionate support, emotional/informational support, positive social interaction, tangible support), social participation and depression in caregivers and non-caregivers.

Method: Hierarchical multiple regression was used to investigate relationships among social support, social participation, and depression. Analyses of variance were used to examine differences in the means of social support, social participation, and depression between the two participant groups.

Results: Higher levels of affectionate support, positive social interaction, and social participation were associated with lower depression scores. Social participation was a significant mediator of the relationship between caregiver status and depression. Caregivers reported significantly higher levels of affectionate support, emotional/informational support, positive social interaction, and social participation than non-caregivers. There were no between-group difference in depression scores.

Discussion: The study provides support for the beneficial role of social participation in preserving caregiver mental health. Results are discussed in the context of policy and practice implications for caregivers in Canada.

Acknowledgments

This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 9447 and the Canada Foundation for Innovation. This research has been conducted using the CLSA dataset Baseline Tracking version 3.1, under Application Number 20160310. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. The first author would like to thank Dr. Paul Tremblay for his advice on missing data procedures.

Funding

This research was supported by the Western Graduate Research Scholarship given to the first author by Western University.

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