Evidence map›Paper›PMID 39250457›Full record

ArticlePLOS global public health2024

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

David Kapaon, Carlos Riumallo-Herl, Elyse Jennings, Shafika Abrahams-Gessel, Keletso Makofane, Chodziwadziwa Whiteson Kabudula, Guy Harling

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

David KapaonHarvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-0362-8146
Carlos Riumallo-HerlErasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-6268-0759
Elyse JenningsHarvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Shafika Abrahams-GesselHarvard Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-4954-057X
Keletso MakofaneFXB Center for Health and Human Rights, Harvard University, Boston, Massachusetts, United States of America.
Chodziwadziwa Whiteson KabudulaMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Guy HarlingHarvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-6604-491X

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Julia Katherine Rohr · 2013 to 2026
$37.3M
NIA NIH HHS P01 AG041710Wellcome Trust
6 · The paper itself

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.

Identifiers

PMID39250457
PMCPMC11383236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.