Multidimensional Social Network Types and Their Correlates in Older Americans
Talha Ali1, Michael R Elliott2,3, Toni C Antonucci4
1Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Innovation in Aging
|January 17, 2022
Summary
Older adults have diverse social networks, categorized into five types. Understanding these network structures helps identify those at higher risk of social isolation and poor well-being.
Area of Science:
- Gerontology
- Sociology
- Public Health
Background:
- Social support networks are crucial for older adults' health and well-being.
- Previous research on network characteristics yielded mixed results.
- Increasing numbers of older adults live outside traditional family structures, leading to complex social networks.
Purpose of the Study:
- To develop a multidimensional typology of older adults' social networks.
- To examine network complexity and heterogeneity by considering multiple structural and functional characteristics.
- To investigate variations in network type membership based on sociodemographic, health, and birth cohort factors.
Main Methods:
- Analysis of 5,192 adults aged 57-85 from the National Social Life, Health, and Aging Project (NSHAP) across two rounds.
- Data collection on network size, diversity, contact frequency, perceived support, and relationship strain.
- Latent class analysis for network typology and multinomial logistic regression for membership differences.
Main Results:
- Five distinct social network types were identified: large with strain, large without strain, small diverse low contact, small restricted high contact, and medium size and support.
- Network type membership significantly varied across age, gender, marital status, race/ethnicity, education, mental health, and birth cohort.
- These findings highlight the heterogeneity in social connectedness among older adults.
Conclusions:
- Social network typologies offer insights into the diverse interpersonal environments of older adults.
- Identifying individuals with limited social connectedness across multiple dimensions is crucial for risk assessment.
- This approach can help target interventions for older adults at higher risk of social isolation.
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