A CAUSAL MODEL OF WELL-BEING AMONG GRANDMOTHERS RAISING GRANDCHILDREN OF THEIR ADOLESCENT DAUGTHERS

Author

Rassamee Srinon, Ph.D, C

Wannee Deoiseres, Ph.D

airatana Wongnam, Ph.D

Abstract

The purposes of this study were to examine the causal relationship among social support, parenting stress, caregiver appraisals, and well-being among grandmothers raising a grandchild of their adolescent daughter and to identify the best predictive model for caregiver stress process model as well-being in caregiving grandmothers raising grandchild of adolescent daughters. The caregiver stress process model of Pearlin et al. (1999) was used to guide this study. Multistage sampling was employed to recruit 440 grandmothers from 5 districts in Ratchaburi province. Grandmothers were asked to complete 4 questionnaires including the Parenting Stress Index (PSI)/ Short Form, the Caregiver Reaction Assessment (CRA), the Social Support Questionnaire (SSQ) Part II and the Short Form Health Screen Questionnaire (SF-36). Data were analyzed by descriptive statistics and Structural Equation Model (SEM) via Analysis of Moment Structure (AMOS).

The results of the study revealed that the final modified model fitted the empirical data (c2/ df = 1.855, RMR = .021, GFI = .960, AGFI = .928, CFI = .978, RMSEA = .044) and explained 69% of the variance in well-being. This model indicated that social support had a significant positive direct effect and had an indirect effect on well-being though caregiver appraisals. Parenting stress had an indirect effect on well-being though caregiver appraisals on well-being. The findings suggest that intervention program to promoting well-being of grandmothers raising a grandchild should be focused on family and relatives’ support, decreasing parenting stress, and enhancing positive perception on caregiver appraisals.

Method

cross sectional research

Journal

Journal of Health and Nursing Research

Year 2016

Link for more information: https://he01.tci-thaijo.org/index.php/bcnbangkok/article/view/87060

Share :

Facebook
Twitter
LinkedIn

Related Posts :