Demographic and Family Network Influences on Psychosocial Health in Agincourt, South Africa: A SEM Analysis

Abstract Demographic determinants, family networks, and daily activity play critical roles in shaping the psychosocial health of older adults. In this study, we examined the predictive effects of age, gender, marital status, and family structure, as indicated by the number of children and grandchildren, including resident grandchildren, on subjective well-being (SWB), depression, and physical activity among older adults in Agincourt, South Africa. Our representative sample, with a mean age of 71.96 years (SD = 8.81) and nearly equal gender distribution (1,330 males and 1,445 females), was analysed using structural equation modelling. Results indicate that higher daily activity levels and robust family engagement, particularly having resident grandchildren, were significantly associated with reduced depression, enhanced physical activity, and improved SWB. Being currently married and maintaining active family interactions further strengthened these associations. These findings emphasise the importance of social integration and family support in mitigating mental health challenges and promoting physical activity among older adults. The study offers valuable insights for developing community-based interventions and policies to enhance the quality of life for ageing populations by reinforcing family networks and encouraging active engagement in daily life.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3138
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demographic and Family Network Influences on Psychosocial Health in Agincourt, South Africa: A SEM Analysis

Erhabor Sunday Idemudia, L.L.C. Ugwu, JohnBosco Chika Chukwuorji
Innovation in Aging
Health disparities and outcomes
article

Demographic and Family Network Influences on Psychosocial Health in Agincourt, South Africa: A SEM Analysis

Erhabor Sunday Idemudia, L.L.C. Ugwu, JohnBosco Chika Chukwuorji
article en

Abstract

Abstract Demographic determinants, family networks, and daily activity play critical roles in shaping the psychosocial health of older adults. In this study, we examined the predictive effects of age, gender, marital status, and family structure, as indicated by the number of children and grandchildren, including resident grandchildren, on subjective well-being (SWB), depression, and physical activity among older adults in Agincourt, South Africa. Our representative sample, with a mean age of 71.96 years (SD = 8.81) and nearly equal gender distribution (1,330 males and 1,445 females), was analysed using structural equation modelling. Results indicate that higher daily activity levels and robust family engagement, particularly having resident grandchildren, were significantly associated with reduced depression, enhanced physical activity, and improved SWB. Being currently married and maintaining active family interactions further strengthened these associations. These findings emphasise the importance of social integration and family support in mitigating mental health challenges and promoting physical activity among older adults. The study offers valuable insights for developing community-based interventions and policies to enhance the quality of life for ageing populations by reinforcing family networks and encouraging active engagement in daily life.

Innovation in AgingVol. 9(Supplement_2)
North-West University (ZA), Michigan State University (US)
Openalex Percentile: Top 26%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.