Abstract
Objective: The purpose of this study was to develop a measurement model of social network, and to investigate the association of social network with socioeconomic and demographic variable.
Method: A sample of 600 older persons aged 60+ living in the 12 selected villages in rural Uttar Pradesh was recruited using Multi-stage random sampling.Social networks with children, relatives, friends and confidant were considered. Confirmatory factor analysis (CFA) was performed to test a multi-dimensional model of social networks.
Results: The results of the CFA demonstrated that the four specific social network types : children, relatives, friends and confidant proposed by Glass et al. were tenable. Large differences in specific social networks and total social networks by categories of age-group, marital status, educational attainment, working status, caste, wealth index and living arrangement were evident. Gender was not statistically significantly associated with any of the specific social network and total network.
Conclusion: Greater comparability between studies of older persons will be allowed with these proposed measures. The effect of the specific and total social network variables could lead to a better understanding of the effects of social networks upon health.
Method: A sample of 600 older persons aged 60+ living in the 12 selected villages in rural Uttar Pradesh was recruited using Multi-stage random sampling.Social networks with children, relatives, friends and confidant were considered. Confirmatory factor analysis (CFA) was performed to test a multi-dimensional model of social networks.
Results: The results of the CFA demonstrated that the four specific social network types : children, relatives, friends and confidant proposed by Glass et al. were tenable. Large differences in specific social networks and total social networks by categories of age-group, marital status, educational attainment, working status, caste, wealth index and living arrangement were evident. Gender was not statistically significantly associated with any of the specific social network and total network.
Conclusion: Greater comparability between studies of older persons will be allowed with these proposed measures. The effect of the specific and total social network variables could lead to a better understanding of the effects of social networks upon health.
confirm funding
Event ID
17
Paper presenter
50 191
Type of Submissions
Regular session presentation, if not selected I agree to present my paper as a poster
Language of Presentation
English
Initial First Choice
Initial Second Choice
Weight in Programme
1 000
Status in Programme
1