Abstract
The problem of predicting mortality among rural [U.S.] elderly (65 years and older) living independently is examined using 20-year panel data derived from a random multistage cluster sample. Fifteen independent variables including social networks age sex and health status were hypothesized on theoretical and empirical grounds to predict mortality. Face-to-face structured interviews were conducted with the same respondents in 1966 1974 and 1986/87. Logistic regression establishes that a model comprising age sex participation in formal organizations relative and children association and general health status is a powerful predictor of mortality. The authors conclude that the more heterogeneous formal or secondary social networks which may enhance self esteem are most functional for the elderly. (EXCERPT)
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
