Back to search

Article

Comparison of household socioeconomic status classification methods and effects on risk estimation: Lessons from a natural experimental study, Kisumu, Western Kenya

2022-01-05

Abstract excerpt

<h4>Introduction: </h4> Low household socioeconomic status is associated with unhealthy behaviours including poor diet and adverse health outcomes. Different methods leading to variations in SES classification has the potential to generate spurious research findings or misinform policy. In low and middle-income countries, there are additional complexities in defining household SES, a need for fieldwork to be condu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ed652f5e-bdfc-554e-a3d0-2a01f3ac1ee3
DOI
10.21203/rs.3.rs-1221003/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comparison of household socioeconomic status classification methods and effects on risk estimation: Lessons from a natural experimental study, Kisumu, Western KenyaDOI 10.21203/rs.3.rs-1221003/v1
Computation of Socio-Economic Status in the AWI-Gen ProjectSemantic proximity
Educational level as a cause of type 2 diabetes mellitus: Caution from triangulation of observational and genetic evidence.Semantic proximity
Prevalence and risk factors survey for hypertension and diabetes in rural western KenyaSemantic proximity
Socioeconomic status and health: what we know and what we don't.Semantic proximity
Ethnicity and anthropometric deficits in children: a cross-sectional analysis of national survey data from 18 countries in sub-Saharan AfricaSemantic proximity
Machine learning⍰based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019Semantic proximity
Comparison of self-reports and biomedical measurements on hypertension and diabetes among older adults in ChinaSemantic proximity
Rapid changes in population socioeconomic status indicators are unevenly distributed in a rural Pakistani villageSemantic proximity
Multilevel modelling, prevalence and predictors of hypertension in Ghana: Evidence from Wave 2 of the World Health Organization’s Study on Global AGEing and adult healthSemantic proximity
Beyond Rurality: Individual Socioeconomic Status and Chronic Disease PrevalenceSemantic proximity
Multilevel modelling, prevalence, and predictors of hypertension in Ghana: Evidence from Wave 2 of the World Health Organization’s Study on Global AGEing and adult healthSemantic proximity
Cardiovascular Risk Factor mapping and distribution among adults in Mukono and Buikwe districts in Uganda: small area analysisSemantic proximity
Select a neighboring publication to make it the new centre.