A predictive model of well-being and self-care for rural elderly women in Taiwan.
A predictive model of well-being and self-care was tested with 284 women aged 60-88 living in rural communities in Taiwan. The variables studied were age, marital status, social class, social support, perceived health, self-care agency, self-care behavior, and perceived well-being. The model was tested by path analysis. The parameters of the model were estimated with the maximum likelihood method. In the refined model, chi2 (12, N = 284) = 15.18, p =.23), 33% of the total variance in well-being was explained by self-care behavior, social support, and perceived health; 66% of the total variance in self-care behavior was explained by self-care agency and social support; 49% of the total variance in self-care agency was explained by social support, perceived health, social class, and age; 14% of the total variance in social support was explained by marital status, social class, and age; and 8% of the total variance in perceived health was explained by social support. The goodness-of-fit index was.99, indicating that the refined model fit the data well. The findings of this study contribute to a greater understanding of this predictive model for application with older women in rural Taiwan.
Wang
H H
HH
Kaohsiung Medical University, College of Nursing, 100 Shih-Chuan 1st Road, Kaohsiung 807, Taiwan.
Laffrey
S C
SC
D000223:Adaptation, Psychological; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006304:Health Status; D006801:Humans; D016013:Likelihood Functions; D008875:Middle Aged; D008960:Models, Psychological; D015999:Multivariate Analysis; D012424:Rural Population; D012648:Self Care / Q000523:psychology*; D020377:Self Efficacy; D012944:Social Support; D012959:Socioeconomic Factors; D013624:Taiwan; D016387:Women's Health