{"title":"Longitudinal network dynamics of cardiometabolic, mobility, and psychological indicators among older adults in rural South Africa.","authors":"Lawrence E Ugwu","doi":"10.1093/geroni/igag050","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>Evidence used to define later-life health remains dominated by high-income settings, despite rapid population aging in sub-Saharan Africa. This study examined how cardiometabolic indicators, symptom burden, mobility limitation, and psychological functioning co-evolve over time among older adults in rural South Africa.</p><p><strong>Research design and methods: </strong>We analyzed 3 waves of the Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI; 2014-2022) among adults 60+ years at baseline (<i>N</i> = 2,807). Seven indicators were modelled: body mass index (BMI), systolic blood pressure (SBP), pain burden, sleep duration, mobility limitation, depressive symptoms, and life satisfaction. We estimated within-wave Gaussian graphical models and a cross-lagged panel network (CLPN) using full information maximum likelihood.</p><p><strong>Results: </strong>Cardiometabolic indicators were more temporally stable than psychological indicators (autoregressive coefficients: BMI = 0.77; SBP = 0.49; depressive symptoms = 0.06; life satisfaction = 0.06). Temporal out-strength was highest for BMI (0.843), followed by SBP (0.705) and mobility limitation (0.668), whereas pain (0.165) and sleep duration (0.112) showed lower connectedness. The CLPN showed acceptable model fit (Comparative Fit Index = 0.96, Root Mean Square Error of Approximation = 0.03, 90% CI [0.03, 0.04], SRMR = 0.03). Mobility limitation predicted higher later life satisfaction (β = 0.16, <i>p</i> < .05) and showed a small inverse association with later depressive symptoms (β = -0.09, <i>p</i> < .10).</p><p><strong>Discussion and implications: </strong>Results indicate cardiometabolic indicators and mobility limitation were more temporally connected components of later-life health. These findings support integrated primary-care approaches that combine cardiometabolic monitoring with attention to locomotor function, while the mobility-well-being association warrants cautious interpretation and replication. These associations are observational and should not be interpreted as causal or as purely within-person effects.</p>","PeriodicalId":13596,"journal":{"name":"Innovation in Aging","volume":"10 7","pages":"igag050"},"PeriodicalIF":6.2000,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13283478/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovation in Aging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/geroni/igag050","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objectives: Evidence used to define later-life health remains dominated by high-income settings, despite rapid population aging in sub-Saharan Africa. This study examined how cardiometabolic indicators, symptom burden, mobility limitation, and psychological functioning co-evolve over time among older adults in rural South Africa.
Research design and methods: We analyzed 3 waves of the Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI; 2014-2022) among adults 60+ years at baseline (N = 2,807). Seven indicators were modelled: body mass index (BMI), systolic blood pressure (SBP), pain burden, sleep duration, mobility limitation, depressive symptoms, and life satisfaction. We estimated within-wave Gaussian graphical models and a cross-lagged panel network (CLPN) using full information maximum likelihood.
Results: Cardiometabolic indicators were more temporally stable than psychological indicators (autoregressive coefficients: BMI = 0.77; SBP = 0.49; depressive symptoms = 0.06; life satisfaction = 0.06). Temporal out-strength was highest for BMI (0.843), followed by SBP (0.705) and mobility limitation (0.668), whereas pain (0.165) and sleep duration (0.112) showed lower connectedness. The CLPN showed acceptable model fit (Comparative Fit Index = 0.96, Root Mean Square Error of Approximation = 0.03, 90% CI [0.03, 0.04], SRMR = 0.03). Mobility limitation predicted higher later life satisfaction (β = 0.16, p < .05) and showed a small inverse association with later depressive symptoms (β = -0.09, p < .10).
Discussion and implications: Results indicate cardiometabolic indicators and mobility limitation were more temporally connected components of later-life health. These findings support integrated primary-care approaches that combine cardiometabolic monitoring with attention to locomotor function, while the mobility-well-being association warrants cautious interpretation and replication. These associations are observational and should not be interpreted as causal or as purely within-person effects.
期刊介绍:
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.