Socio-economic indicators, housing characteristics, site of residence, and substance use as household-level risk factors in GRT-INSPIRED communities

Introduction: Substance use remains a major public health concern in South Africa and disproportionately affects urban communities experiencing socio-economic disadvantage, poor housing conditions, and spatial inequality. While existing research has largely focused on individual-level substance use, less is known about how household socio-economic characteristics, housing conditions, and place of residence shape household-level substance use in urban settings. This study examined the associations between socio-economic indicators, housing characteristics, site of residence, and household substance use in selected urban communities in Gauteng Province, South Africa. Methods: A cross-sectional household-level analysis was conducted using secondary data from the GRT-INSPIRED Health and Demographic Surveillance System (HDSS). The study included 46,113 households from three urban sites: Hillbrow, Atteridgeville, and Melusi. Household substance use was defined as the presence of any reported substance used within the household. Socio-economic variables included employment status, income classification, and government grant receipt, while housing variables captured building type, housing disrepair, and the presence of multiple structures. Descriptive analyses were followed by bivariable and multivariable logistic regression to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Results and discussion: Alcohol was the most commonly reported substance among households with substance use, reported by 10,453 households (77.1%; 95% CI: 76.4-77.8). In multivariable analysis, households reporting housing disrepair had substantially higher odds of substance use (AOR = 4.43; 95% CI: 3.24-6.05). Residence in Melusi was strongly associated with household substance use compared with Hillbrow (AOR = 4.04; 95% CI: 3.44-4.75). Low-income households had lower odds of substance use (AOR = 0.71; 95% CI: 0.61-0.83), while grant receipt was associated with higher odds (AOR = 1.29; 95% CI: 1.05-1.58). Household substance use in urban Gauteng is strongly shaped by housing quality and spatial context, highlighting the importance of structural and place-based determinants. Integrated urban health interventions addressing housing conditions and neighborhood vulnerabilities are critical for reducing substance-related harm.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2026-04-13
DOI
https://doi.org/10.3389/fpubh.2026.1812671
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Socio-economic indicators, housing characteristics, site of residence, and substance use as household-level risk factors in GRT-INSPIRED communities

James Wabwire Oguttu, Tintswalo Hlungwani, Themba Titus Sigudu, Masilu D. Masekameni et al.
Frontiers in Public Health
Substance Abuse Treatment and Outcomes
article

Socio-economic indicators, housing characteristics, site of residence, and substance use as household-level risk factors in GRT-INSPIRED communities

James Wabwire Oguttu, Tintswalo Hlungwani, Themba Titus Sigudu, Masilu D. Masekameni, Phoka C. Rathebe
article en

Abstract

Introduction: Substance use remains a major public health concern in South Africa and disproportionately affects urban communities experiencing socio-economic disadvantage, poor housing conditions, and spatial inequality. While existing research has largely focused on individual-level substance use, less is known about how household socio-economic characteristics, housing conditions, and place of residence shape household-level substance use in urban settings. This study examined the associations between socio-economic indicators, housing characteristics, site of residence, and household substance use in selected urban communities in Gauteng Province, South Africa. Methods: A cross-sectional household-level analysis was conducted using secondary data from the GRT-INSPIRED Health and Demographic Surveillance System (HDSS). The study included 46,113 households from three urban sites: Hillbrow, Atteridgeville, and Melusi. Household substance use was defined as the presence of any reported substance used within the household. Socio-economic variables included employment status, income classification, and government grant receipt, while housing variables captured building type, housing disrepair, and the presence of multiple structures. Descriptive analyses were followed by bivariable and multivariable logistic regression to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Results and discussion: Alcohol was the most commonly reported substance among households with substance use, reported by 10,453 households (77.1%; 95% CI: 76.4-77.8). In multivariable analysis, households reporting housing disrepair had substantially higher odds of substance use (AOR = 4.43; 95% CI: 3.24-6.05). Residence in Melusi was strongly associated with household substance use compared with Hillbrow (AOR = 4.04; 95% CI: 3.44-4.75). Low-income households had lower odds of substance use (AOR = 0.71; 95% CI: 0.61-0.83), while grant receipt was associated with higher odds (AOR = 1.29; 95% CI: 1.05-1.58). Household substance use in urban Gauteng is strongly shaped by housing quality and spatial context, highlighting the importance of structural and place-based determinants. Integrated urban health interventions addressing housing conditions and neighborhood vulnerabilities are critical for reducing substance-related harm.

Frontiers in Public HealthVol. 14
University of South Africa (ZA), University of the Witwatersrand (ZA), University of Johannesburg (ZA), Gauteng Department of Agriculture and Rural Development (ZA)
No poverty
Openalex Percentile: Top 27%
Substance Abuse Treatment and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.