A path analysis model of life satisfaction is proposed and applied to data from interviews with 141 persons aged 60 years and over. Predictor variables examined are self-reported health, income, education and an activity index. The analysis was conducted separately for the two sexes. Health and activityemerge as strong predictors of life satisfaction while income influences life satisfaction indirectly via activity. The importance of investigating direct and indirect effects of variables via path analysis is discussed.
Self-rated health among a sample of older persons is investigated via a simple path analysis model. The strongest predictor of self-rated health is a health index measuring reported conditions and confinement at home in bed. Income and education have small but significant direct effects on self-rated health suggesting that elderly of lower SES tend to evaluate their health as poorer than those of higher SES who are of similar health status (measured by the health index). Age, ethnicity, and sex affect self-ratings only indirectly through other variables.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.