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Can Urbanization, Social and Spatial Disparities Help to Understand the Rise of Cardiometabolic Risk Factors in Bobo-Dioulasso? A Study in a Secondary City of Burkina Faso, West Africa

Augustin Nawidimbasba Zeba, Marceline Téné Yaméogo, Somnoma Jean-Baptiste Tougouma, Daouda Kassié and Florence Fournet
Additional contact information
Augustin Nawidimbasba Zeba: Institut de Recherche en Sciences de la Santé, Direction Régionale de l’Ouest, 01 BP 545 Bobo Dioulasso 01, Burkina Faso
Marceline Téné Yaméogo: Centre Hospitalier Universitaire Sorou Sanou, Université Polytechnique de Bobo-Dioulasso, 01 BP 676 Bobo-Dioulasso 01, Burkina Faso
Somnoma Jean-Baptiste Tougouma: Centre Hospitalier Universitaire Sorou Sanou, Université Polytechnique de Bobo-Dioulasso, 01 BP 676 Bobo-Dioulasso 01, Burkina Faso
Daouda Kassié: LADYSS, Université Paris Ouest Nanterre la Défense, 92000 Nanterre, France
Florence Fournet: Institut de Recherche en Sciences de la Santé, Direction Régionale de l’Ouest, 01 BP 545 Bobo Dioulasso 01, Burkina Faso

IJERPH, 2017, vol. 14, issue 4, 1-13

Abstract: Background : Unplanned urbanization plays a key role in chronic disease growth. This population-based cross-sectional study assessed the occurrence of cardiometabolic risk factors in Bobo-Dioulasso and their association with urbanization conditions. Methods : Through spatial sampling, four Bobo-Dioulasso sub-spaces were selected for a population survey to measure the adult health status. Yéguéré, Dogona, Tounouma and Secteur 25 had very different urbanization conditions (position within the city; time of creation and healthcare structure access). The sample size was estimated at 1000 households (250 for each sub-space) in which one adult (35 to 59-year-old) was randomly selected. Finally, 860 adults were surveyed. Anthropometric, socioeconomic and clinical data were collected. Arterial blood pressure was measured and blood samples were collected to assess glycemia. Results : Weight, body mass index and waist circumference (mean values) and serum glycemia (83.4 mg/dL ± 4.62 mmol/L) were significantly higher in Tounouma, Dogona, and Secteur 25 than in Yéguéré; the poorest and most rural-like sub-space ( p = 0.001). Overall, 43.2%, 40.5%, 5.3% and 60.9% of participants had overweight, hypertension, hyperglycemia and one or more cardiometabolic risk markers, respectively. Conclusions : Bobo-Dioulasso is unprepared to face this public health issue and urgent responses are needed to reduce the health risks associated with unplanned urbanization.

Keywords: chronic diseases; urbanization; health disparities; spatial sampling; medium-sized city; Bobo-Dioulasso (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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