Residential Housing Quality and Metabolic Syndrome among adults in Osogbo, Nigeria: a cross-sectional study: Metabolic Syndrome and Housing Quality

Musibau HA; Arinola OP; Ajayi AA; Olayinka LR; Adedoyin RE; Balogun FL; Melikam ES; Isreal BE; Okekunle AP; Fakunle AG

doi:10.61386/imj.v19i1.910

Authors

Musibau HA Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Osun State, Nigeria
Arinola OP Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Osun State, Nigeria
Ajayi AA Department of Family Medicine, Osun State University, Osogbo, Osun State, Nigeria
Olayinka LR Alli Ehotc University College Hospital, Ibadan, Nigeria
Adedoyin RE Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Osun State, Nigeria
Balogun FL Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Osun State, Nigeria
Melikam ES Department of Public Health Sciences, College of Behavioural, Social and Health Sciences, Clemson University, USA
Isreal BE Federal Polytechnic Kaduna, Kaduna, Nigeria
Okekunle AP Seoul National University, 08826 Seoul Republic of Korea
Fakunle AG Department of Public Health, Osun State University, Osogbo, Osun State, Nigeria

DOI:

https://doi.org/10.61386/imj.v19i1.910

Keywords:

Housing quality, Cardiometabolic health, Hypertension, Diabetes Mellitus, Osogbo, Nigeria

Abstract

Context: Previous explorations on the health implications of housing have employed subjective measures.

Objective: This study aims to investigate the association between residential housing quality (RHQ) measured using the housing quality index (HQI) and metabolic syndrome (METS) among adults in Osogbo, Nigeria.

Method: Households of 700 adults aged ≥18 years, selected through multi-stage sampling in Osogbo, Nigeria, were assessed using a housing standard checklist to determine the housing quality index (HQI). A summation of the HQI was performed and dichotomized into “poor RHQ” and “good RHQ” using the 50th percentile. METS was defined according to the Adult Treatment Panel III guidelines. Multivariable-adjusted logistic regression models were used to estimate the odds ratio (OR) and 95% confidence intervals (CIs) for the odds of METS at a two-sided P<0.05.

Results: Overall, 70/700(10%) had METS with a female preponderance, 60(85.7%). The proportion of homes with poor RHQ was higher among participants with METS, 60(85.7%), than those without METS, 380(60.3%), p<0.001. In the final model, poor RHQ was associated with higher odds of METS (OR 2.74, 95% CI 1.31-5.76) after adjusting for relevant covariates.

Conclusions: Environmental health interventions targeted at improving RHQ might significantly contribute to reducing the burden of metabolic syndrome in LMICs.