Social support receipt as a predictor of mortality: A cohort study in rural South Africa

The mechanisms connecting various types of social support to mortality have been well-studied in high-income countries. However, less is known about how these relationships function in different socioeconomic contexts. We examined how four domains of social support-emotional, physical, financial, and informational-impact mortality within a sample of older adults living in a rural and resource-constrained setting. Using baseline survey and longitudinal mortality data from HAALSI, we assessed how social support affects mortality in a cohort of 5059 individuals aged 40 years or older in rural Mpumalanga, South Africa. Social support was captured as the self-reported frequency with which close social contacts offered emotional, physical, financial, and informational support to respondents, standardized across the sample to increase interpretability. We used Cox proportional hazard models to evaluate how each support type affected mortality controlling for potential confounders, and assessed potential effect-modification by age and sex. Each of the four support domains had small positive associations with mortality, ranging from a hazard ratio per standard deviation of support of 1.04 [95% CI: 0.95,1.13] for financial support to 1.09 [95% CI: 0.99,1.18] for informational support. Associations were often stronger for females and younger individuals. We find baseline social support to be positively associated with mortality in rural South Africa. Possible explanations include that insufficient social support is not a strong driver of mortality risk in this setting, or that social support does not reach some necessary threshold to buffer against mortality. Additionally, it is possible that the social support measure did not capture more relevant aspects of support, or that our social support measures captured prior morbidity that attracted support before the study began. We highlight approaches to evaluate some of these hypotheses in future research.

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Publication Details

Journal
PLOS Global Public Health
Published
2024-09-09
DOI
https://doi.org/10.1371/journal.pgph.0003683
Citations
1
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.53

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article

Social support receipt as a predictor of mortality: A cohort study in rural South Africa

Shafika Abrahams‐Gessel, David Kapaon, Elyse A. Jennings, Chodziwadziwa Whiteson Kabudula et al.
1 citations
PLOS Global Public Health
Health disparities and outcomes
0.53
article

Social support receipt as a predictor of mortality: A cohort study in rural South Africa

Shafika Abrahams‐Gessel, David Kapaon, Elyse A. Jennings, Chodziwadziwa Whiteson Kabudula, Carlos Riumalló‐Herl, Keletso Makofane, Guy Harling
article en
1 citations

Abstract

The mechanisms connecting various types of social support to mortality have been well-studied in high-income countries. However, less is known about how these relationships function in different socioeconomic contexts. We examined how four domains of social support-emotional, physical, financial, and informational-impact mortality within a sample of older adults living in a rural and resource-constrained setting. Using baseline survey and longitudinal mortality data from HAALSI, we assessed how social support affects mortality in a cohort of 5059 individuals aged 40 years or older in rural Mpumalanga, South Africa. Social support was captured as the self-reported frequency with which close social contacts offered emotional, physical, financial, and informational support to respondents, standardized across the sample to increase interpretability. We used Cox proportional hazard models to evaluate how each support type affected mortality controlling for potential confounders, and assessed potential effect-modification by age and sex. Each of the four support domains had small positive associations with mortality, ranging from a hazard ratio per standard deviation of support of 1.04 [95% CI: 0.95,1.13] for financial support to 1.09 [95% CI: 0.99,1.18] for informational support. Associations were often stronger for females and younger individuals. We find baseline social support to be positively associated with mortality in rural South Africa. Possible explanations include that insufficient social support is not a strong driver of mortality risk in this setting, or that social support does not reach some necessary threshold to buffer against mortality. Additionally, it is possible that the social support measure did not capture more relevant aspects of support, or that our social support measures captured prior morbidity that attracted support before the study began. We highlight approaches to evaluate some of these hypotheses in future research.

PLOS Global Public HealthVol. 4(9)
Physicians for Human Rights (US), Harvard University (US), University of the Witwatersrand (ZA), Agincourt Health and Socio-Demographic Surveillance System (ZA), Africa Health Research Institute (ZA), Dana-Farber/Harvard Cancer Center (US), Harvard Global Health Institute (US), University College London (GB), Erasmus University Rotterdam (NL), University of KwaZulu-Natal (ZA)
Foundation for the National Institutes of Health, Wellcome Trust, Department of Science and Innovation, South Africa, European Commission, South African Medical Research Council, National Institutes of Health, Medical Research Council, Horizon 2020
Openalex Percentile: Top 30%
Health disparities and outcomes
0.53
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