<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>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</dc:title>
  <dc:creator>Zeba, A.N.</dc:creator>
  <dc:creator>Yam&#xE9;ogo, M.T.</dc:creator>
  <dc:creator>Tougouma, S.J.</dc:creator>
  <dc:creator>Kassi&#xE9;, D.</dc:creator>
  <dc:creator>/Fournet, Florence</dc:creator>
  <dc:subject>URBANISATION</dc:subject>
  <dc:subject>SANTE PUBLIQUE</dc:subject>
  <dc:subject>INEGALITE SOCIALE</dc:subject>
  <dc:subject>DISTRIBUTION SPATIALE</dc:subject>
  <dc:subject>ANALYSE SPATIALE</dc:subject>
  <dc:subject>PLANIFICATION URBAINE</dc:subject>
  <dc:subject>GEOGRAPHIE DE LA SANTE</dc:subject>
  <dc:subject>FACTEUR DE RISQUE</dc:subject>
  <dc:description>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. Y&#xE9;gu&#xE9;r&#xE9;, 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 &#xB1; 4.62 mmol/L) were significantly higher in Tounouma, Dogona, and Secteur 25 than in Y&#xE9;gu&#xE9;r&#xE9;; 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.</dc:description>
  <dc:date>2017</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010070112</dc:identifier>
  <dc:identifier>fdi:010070112</dc:identifier>
  <dc:identifier>Zeba A.N., Yam&#xE9;ogo M.T., Tougouma S.J., Kassi&#xE9; D., Fournet Florence. 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. 2017, 14 (4), art. no 378 [13  en ligne]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>BURKINA FASO</dc:coverage>
  <dc:coverage>BOBO DIOULASSO</dc:coverage>
</oai_dc:dc>
