Evidence map›Paper›PMID 35079945›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2022

Characterization of Healthy Housing in Africa: Method, Profiles, and Determinants.

Samuel Iddi, Kanyiva Muindi, Hellen Gitau, Blessing Mberu

Open access · hybridAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 2 countries.

Samuel IddiDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Legon, Ghana. siddi@ug.edu.gh.ORCID 0000-0002-2366-2774
Kanyiva MuindiUrbanization and Wellbeing Unit, African Population and Health Research Center, Nairobi, Kenya. kmuindi@aphrc.org.
Hellen GitauUrbanization and Wellbeing Unit, African Population and Health Research Center, Nairobi, Kenya.
Blessing MberuUrbanization and Wellbeing Unit, African Population and Health Research Center, Nairobi, Kenya.
African Population and Health Research Center · KEUniversity of Ghana · GH

Funding

Wellcome Trust
6 · The paper itself

Abstract

Housing is a key social determinant of health with implications for both physical and mental health. The measurement of healthy housing and studies characterizing the same in sub-Saharan Africa (SSA) are uncommon. This study described a methodological approach employed in the assessment and characterization of healthy housing in SSA using the Demographic and Health Survey (DHS) data for 15 countries and explored healthy housing determinants using a multiple survey-weighted logistic regression analysis. For all countries, we demonstrated that the healthy housing index developed using factor analysis reasonably satisfies both reliability and validity tests and can therefore be used to describe the distribution of healthy housing across different groups and in understanding the linkage with individual health outcomes. We infer from the results that unhealthy housing remains quite high in most SSA countries. Having a male head of the household was associated with decreased odds of healthy housing in Burkina Faso (OR = 0.80, CI = 0.68-0.95), Cameroon (OR = 0.65, CI = 0.57, 0.76), Malawi (OR = 0.70, CI = 0.64-0.78), and Senegal (OR = 0.62, CI = 0.51-0.74). Further, increasing household size was associated with reducing odds of healthy housing in Kenya (OR = 0.53, CI = 0.44-0.65), Namibia (OR = 0.34, CI = 0.24-0.48), Nigeria (OR = 0.57, CI = 0.46-0.71), and Uganda (OR = 0.79, CI = 0.67-0.94). Across all countries, household wealth was a strong determinant of healthy housing, with middle and rich households having higher odds of residing in healthy homes compared to poor households. Odds ratios ranged from 3.63 (CI = 2.96-4.44) for households in the middle wealth group in the DRC to 2812.2 (CI = 1634.8-4837.7) in Namibia's wealthiest households. For other factors, the analysis also showed variation across countries. Our findings provide timely insights for the implementation of housing policies across SSA countries, drawing attention to aspects of housing that would promote occupant health and wellbeing. Beyond the contribution to the measurement of healthy housing in SSA, our paper highlights key policy and program issues that need further interrogation in the search for pathways to addressing the healthy housing deficit across most SSA countries. This has become critical amid the COVID-19 pandemic, where access to healthy housing is pivotal in its control.

Indexed as

COVID-19HousingHumansKenyaMalePandemicsReproducibility of ResultsSARS-CoV-2AfricaCOVID-19DeterminantsHealthyHousing

Identifiers

PMID35079945
PMCPMC8788402
OpenAlexW4206909657

What OpenQuestion holds

Textmetadata
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.