Evidence map›Paper›PMID 36875285›Full record

ArticleAgeing and society2023

Social network characteristics and HIV testing among older adults in South Africa.

Jin A Lee, Markus H Schafer

Open access · greenAbstract read
In one paragraph

Article in Ageing and society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 47% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

2 authors at 1 institution in 1 country.

Jin A LeeDepartment of Sociology, University of Toronto, Toronto, Canada.ORCID 0000-0001-5849-1883
Markus H SchaferDepartment of Sociology, University of Toronto, Toronto, Canada.
University of Toronto · CA

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LISA F BERKMAN, THOMAS A GAZIANO · 2013 to 2026
$37.3M
NIA NIH HHS P01 AG041710Wellcome Trust
6 · The paper itself

Abstract

Drawing from theory and research on the role of social networks in promoting or undermining preventative public health measures, this article considers how structural, compositional and functional aspects of older adults' close social networks are associated with HIV testing in the context of rural South Africa. Analyses use data from the population-based Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) - a sample of rural adults age 40+ (N = 4,660). Results from multiple logistic regression show older South African adults with larger, more heavily non-kin and more literate networks were most likely to report testing for HIV. People whose network members provided frequent information were also most likely to be tested, though interaction effects indicate that this pattern is primarily found among those with highly literate networks. Taken together, the findings reinforce a key insight from social capital perspectives: network resourcefulness - literacy in particular - is crucial for promoting preventative health practice. The synergy between network literacy and informational support reveals the complex interplay between network characteristics in shaping health-seeking behaviour. Continued research is needed on the connection between networks and HIV testing among sub-Saharan older adults, as this population is not currently well served by many public health efforts in the region.

Indexed as

health-seeking behaviourHIV testingsocial network characteristicsSouth Africa

Identifiers

PMID36875285
PMCPMC9983780
OpenAlexW3170066893

What OpenQuestion holds

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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.