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. 2023 Sep 21;13(9):e063318.
doi: 10.1136/bmjopen-2022-063318.

Association between urban-rural location and prevalence of type 2 diabetes and impaired fasting glucose in West Africa: a cross-sectional population-based epidemiological study

Ayuba Issaka  1   2   3 , Christopher Stevenson  4 , Yin Paradies  3 , Yessito Corine N Houehanou  5 , William K Bosu  6 , Jean Baptiste Kiwallo  7 , Chea Sanford Wesseh  8 , Dismand Stephan Houinato  9 , Diarra J P Nazoum  10 , Adrian J Cameron  4
Affiliations

Association between urban-rural location and prevalence of type 2 diabetes and impaired fasting glucose in West Africa: a cross-sectional population-based epidemiological study

Ayuba Issaka et al. BMJ Open. .

Abstract

Objectives: We investigated the association between urban/rural location and both type 2 diabetes mellitus (T2DM) and pre-diabetes among populations of five West African countries.

Design: Cross-sectional studies, using the WHO Stepwise (STEPs) survey data.

Setting: National representative data of both urban and rural areas from Benin, Burkina Faso, Ghana, Liberia and Mali.

Participants: Adults comprising 15 468 participants (6774 men and 8746 women; 7663 urban and 7805 rural residents) aged between 25 and 64 years.

Results: The age and sex-adjusted prevalence of T2DM was 6.2% for urban areas and 2.5% for rural areas. The prevalence of impaired fasting glucose (IFG) was 6.6% for urban areas, and 3.0% for rural areas. No differences by sex were observed. The crude relative risk (RR) and 95% CI of T2DM and IFG in urban compared with rural areas were 2.69 (1.85 to 3.91) and 2.37 (1.53 to 3.66), respectively. This reduced to RR: 2.03, 95% CI (1.34 to 3.08) and RR: 2.04, 95% CI (1.27 to 3.28), respectively, after adjusting for covariables.

Conclusion: The prevalence of both T2DM and IFG was more than two times as high in urban areas compared with rural areas in West Africa. Behavioural risk factors are common among urban populations, with ongoing urbanisation expected to drive increases in the prevalence of T2DM. These results could guide planning for T2DM screening, preventive strategies and resource allocation in West Africa.

Keywords: DIABETES & ENDOCRINOLOGY; EPIDEMIOLOGIC STUDIES; EPIDEMIOLOGY; PUBLIC HEALTH.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Simplified directed acyclic graph (DAG) causal mechanism between T2DM risk factors and T2DM adjusting for age, sex, and socioeconomic status (education and profession). HBP, high blood pressure; T2DM, type 2 diabetes mellitus.
See this image and copyright information in PMC

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