Evidence map›Paper›PMID 38240041›Full record

ArticleDemography2024

Understanding Household Dynamics From the Ground Up: A Longitudinal Study From a Rural South African Setting.

Shao-Tzu Yu, Brian Houle, Enid Schatz, Nicole Angotti, Chodziwadziwa W Kabudula, Francesc Xavier Gómez-Olivé, Samuel J Clark, Jane Menken, Sanyu A Mojola

Open access · diamondAbstract read
In one paragraph

Article in Demography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. The Strength of Long-Distance Ties for Aging Healthy With HIV: The Case of Rural South Africa.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  3. 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

9 authors at 4 institutions in 4 countries.

Shao-Tzu YuSchool of Demography, The Australian National University, Canberra, Australia.ORCID 0000-0001-9440-1929
Brian HouleSchool of Demography, The Australian National University, Canberra, Australia; MRC/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; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0003-2157-3118
Enid SchatzDepartment of Public Health, University of Missouri-Columbia, Columbia, MO, USA; MRC/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; Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0003-3963-2745
Nicole AngottiDepartment of Sociology, American University, Washington, DC, USA; MRC/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.ORCID 0000-0002-9206-5914
Chodziwadziwa W 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; INDEPTH Network, Accra, Ghana.ORCID 0000-0002-5867-0336
Francesc Xavier Gómez-OlivéMRC/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; INDEPTH Network, Accra, Ghana.ORCID 0000-0002-4876-0848
Samuel J ClarkDepartment of Sociology, The Ohio State University, Columbus, OH, USA; MRC/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; INDEPTH Network, Accra, Ghana.ORCID 0000-0002-4929-6231
Jane MenkenInstitute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-0008-0325
Sanyu A MojolaDepartment of Sociology, School of Public and International Affairs, and Office of Population Research, Princeton University, Princeton, NJ, USA; MRC/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.ORCID 0000-0002-2610-2625
University of the Witwatersrand · ZAAustralian National University · AUUniversity of Colorado Boulder · USAmerican University · US

Funding

HIV after 40 in Rural South Africa: Aging in the Context of an HIV/AIDS EpidemicR01AG049634 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOJOLA, SANYU AMIMO · 2016 to 2020
$1.3M
Predicting Impacts of Infectious Disease on Structure and Dynamics of PopulationsK01HD057246 · NICHD · UNIVERSITY OF WASHINGTON · PI CLARK, SAMUEL J · 2008 to 2012
$620k
NIA NIH HHS R01 AG049634NICHD NIH HHS K01 HD057246
6 · The paper itself

Abstract

Investigations into household structure in low- and middle-income countries (LMICs) provide important insight into how families manage domestic life in response to resource allocation and caregiving needs during periods of rapid sociopolitical and health-related challenges. Recent evidence on household structure in many LMICs contrasts with long-standing viewpoints of worldwide convergence to a Western nuclearized household model. Here, we adopt a household-centered theoretical and methodological framework to investigate longitudinal patterns and dynamics of household structure in a rural South African setting during a period of high AIDS-related mortality and socioeconomic change. Data come from the Agincourt Health and Socio-Demographic Surveillance System (2003-2015). Using latent transition models, we derived six distinct household types by examining conditional interdependency between household heads' characteristics, members' age composition, and migration status. More than half of households were characterized by their complex and multigenerational profiles, with considerable within-typology variation in household size and dependency structure. Transition analyses showed stability of household types under female headship, while higher proportions of nuclearized household types dissolved over time. Household dissolution was closely linked to prior mortality experiences-particularly, following death of a male head. Our findings highlight the need to better conceptualize and contextualize household changes across populations and over time.

Indexed as

Family CharacteristicsRural PopulationFemaleHumansLongitudinal StudiesMaleSocioeconomic FactorsSouth AfricaFinite mixture modelsHIVHousehold structureHousehold transitionSouth Africa

Identifiers

PMID38240041
PMCPMC13237533
OpenAlexW4391030778

What OpenQuestion holds

Textmetadata
LicenceTDM
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.