Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur studies of successful aging

Citation
Jb. Unger et al., Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur studies of successful aging, J GERONT B, 54(5), 1999, pp. S245-S251
Citations number
38
Categorie Soggetti
Public Health & Health Care Science","Medical Research General Topics
Journal title
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
ISSN journal
10795014 → ACNP
Volume
54
Issue
5
Year of publication
1999
Pages
S245 - S251
Database
ISI
SICI code
1079-5014(199909)54:5<S245:VITIOS>2.0.ZU;2-P
Abstract
Objectives. Social support and social networks have been shown to exert sig nificant effects on health and functioning among elderly persons. Although theorists have speculated that the strength of these effects may differ as a function of sociodemographic characteristics and prior health status, few studies have directly tested the moderating effects of these variables. Methods, Longitudinal data from the MacArthur Study of Successful Aging wer e used to examine the effects of structural and functional social support o n changes in physical functioning over a 7-year period, measured by the Nag i scale, in a sample of initially high-functioning men and women aged 70 to 79 years. Multiple regression analyses were used to test the main effects of social support and social network variables, as well as their interactio ns with gender, income, and baseline physical performance. Results. After controlling for potential confounding effects, respondents w ith more social ties showed less functional decline. The beneficial effects of social ties were stronger for respondents who were male or had lower le vels of baseline physical performance. Discussion. The effects of social support and social networks may vary acco rding to the individual's gender and baseline physical capabilities. Studie s of functional decline among elderly persons should not ignore this popula tion variation in the effects of social networks.