Back to Search Start Over

Social and health-related predictors of family function in older spousal caregivers: a cross-sectional study.

Authors :
Pavarini SCI
Bregola AG
Luchesi BM
Oliveira D
Orlandi FS
de Moura FG
Silva HRO
de Oliveira NA
Zazzetta MS
Dos Santos-Orlandi AA
Ottaviani AC
Source :
Dementia & neuropsychologia [Dement Neuropsychol] 2020 Dec; Vol. 14 (4), pp. 372-378.
Publication Year :
2020

Abstract

Given the benefits of adequate family function for the health and well-being of older adults, it is important to understand what factors predict adequate family function in older people who care for their spouses.<br />Objective: Analyse predictors of family function in older spousal caregivers.<br />Methods: A cross-sectional study design was used to investigate a non-probabilistic sample of 298 older spousal caregivers. Home-based face-to-face interviews were used to evaluate sociodemographic variables and care context, family function (Family APGAR), cognitive function, perceived stress, and depressive symptoms. Data were analysed using multiple logistic regression with stepwise forward method for variable section.<br />Results: Older caregivers having some degree of cognitive impairment (OR=-0.160, 95%CI 0.444-0.579), depressive symptoms (OR=-0.848, 95%CI 0.726-0.992) or high levels of stress (OR=-0.955, 95%CI 0.914-0.999) had overall lower levels of family function. Having more children was linked to approximately 1.3 times higher family function (95%CI 1.080-1.057).<br />Conclusion: Stress, depression, cognitive decline, and number of children are predictors of family function and should be considered in social and health care strategies within the family caregiving context.<br />Competing Interests: Disclosure: The authors report no conflicts of interest.

Details

Language :
English
ISSN :
1980-5764
Volume :
14
Issue :
4
Database :
MEDLINE
Journal :
Dementia & neuropsychologia
Publication Type :
Academic Journal
Accession number :
33354290
Full Text :
https://doi.org/10.1590/1980-57642020dn14-040007