Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur Studies of Successful Aging

J Gerontol B Psychol Sci Soc Sci. 1999 Sep;54(5):S245-51. doi: 10.1093/geronb/54b.5.s245.


Objectives: Social support and social networks have been shown to exert significant 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 were used to examine the effects of structural and functional social support on changes in physical functioning over a 7-year period, measured by the Nagi 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 interactions with gender, income, and baseline physical performance.

Results: After controlling for potential confounding effects, respondents with more social ties showed less functional decline. The beneficial effects of social ties were stronger for respondents who were male or had lower levels of baseline physical performance.

Discussion: The effects of social support and social networks may vary according to the individual's gender and baseline physical capabilities. Studies of functional decline among elderly persons should not ignore this population variation in the effects of social networks.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Activities of Daily Living*
  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Aging / psychology*
  • Confounding Factors, Epidemiologic
  • Female
  • Geriatric Assessment
  • Health Behavior
  • Health Status
  • Humans
  • Income
  • Longitudinal Studies
  • Male
  • Regression Analysis
  • Sex Factors
  • Social Support*
  • Socioeconomic Factors
  • Surveys and Questionnaires