Paving the way to understanding female-headed households: Variation in household composition across 103 low-and middle-income countries

dc.contributor.authorSaad, Ghada E.
dc.contributor.authorGhattas, Hala
dc.contributor.authorWendt, Andrea Tuchtenhagen
dc.contributor.authorHellwig, Franciele
dc.contributor.authorDeJong, Jocelyn
dc.contributor.authorBoerma, Ties
dc.contributor.authorVictora, Cesar Gomes
dc.contributor.authorBarros, Aluisio J.D.
dc.contributor.departmentEpidemiology and Population Health (EPHD)
dc.contributor.facultyFaculty of Health Sciences (FHS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:35:03Z
dc.date.available2025-01-24T11:35:03Z
dc.date.issued2022
dc.description.abstractBackground Female-headed households (FHHs) are regarded as disadvantaged. There are multiple social trajectories that can lead to women heading households. It is important to distinguish between these trajectories, as well as societal norms and contextual factors, to understand how and when are FHHs represented as a dimension of gender inequity. Our analysis defines and describes a typology of 16 FHH types (FHH16) based on demographic characteristics. Methods This cross-sectional study used national Demographic Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) in 103 low- and middle-income countries (LMICs) to identify a typology of FHHs based on the family composition and additional household members. We performed descriptive analyses at the household level to generate median proportions of the FHH16 types and selected household characteristics. We conducted cluster analyses to explore FHH16 patterns across naturally grouped clusters of countries and described selected social and economic indicators at the ecological level. Results The most common FHH16 types were those where the women household heads lived with children only, were alone, or lived with men, women, and children, but without a husband. In Africa and South Asia, the most common FHH was one where women heads resided with children only. In East Asia and the Pacific, the highest proportion of FHHs were those with men, women, and children. In MENA and Eastern Europe & Central Asia, households with women heads living alone were the most prevalent. Latin America had more FHHs with husbands, comparatively, and the most common FHHs were those with heads living alone or with children. Our exploratory cluster analysis generated five clusters with unique FHH16 patterns. The clusters had distinct geographic, contextual and economic characteristics. Conclusions Our typology showed that FHHs are heterogeneous within and between countries. The ecological analysis emphasized further variation created by different societal and cultural factors. Research around their vulnerabilities and strengths needs to consider these factors and their influence on socioeconomic status and health-related outcomes within households headed by women. © 2022. The Author(s) JoGH. All Rights Reserved.
dc.identifier.doihttps://doi.org/10.7189/jogh.12.04038
dc.identifier.eid2-s2.0-85131421241
dc.identifier.urihttp://hdl.handle.net/10938/28285
dc.language.isoen
dc.publisherUniversity of Edinburgh
dc.relation.ispartofJournal of Global Health
dc.sourceScopus
dc.subjectAfrica
dc.subjectArticle
dc.subjectAsia
dc.subjectCentral asia
dc.subjectChild
dc.subjectCluster analysis
dc.subjectControlled study
dc.subjectCross-sectional study
dc.subjectCultural factor
dc.subjectDemographics
dc.subjectEastern europe
dc.subjectFamily composition
dc.subjectFemale
dc.subjectHealth survey
dc.subjectHousehold
dc.subjectHuman
dc.subjectHuman experiment
dc.subjectHusband
dc.subjectMale
dc.subjectMiddle income country
dc.subjectSocial status
dc.subjectSouth and central america
dc.subjectSouth asia
dc.subjectVulnerability
dc.titlePaving the way to understanding female-headed households: Variation in household composition across 103 low-and middle-income countries
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2022-2116.pdf
Size:
2.89 MB
Format:
Adobe Portable Document Format