%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Ouedraogo, H. Z.
%A Fournet, Florence
%A Martin-Prével, Yves
%A Gary, Jean
%A Henry, M. C.
%A Salem, Gérard
%T Socio-spatial disparities of obesity among adults in the urban setting of Ouagadougou, Burkina Faso
%D 2008
%L fdi:010044197
%G ENG
%J Public Health Nutrition
%@ 1368-9800
%K Obesity ; Adults ; Urban ; Disparities ; Burkina Faso
%M ISI:000261899100011
%N 12
%P 1280-1287
%R 10.1017/s1368980008002504
%U https://www.documentation.ird.fr/hor/fdi:010044197
%> https://www.documentation.ird.fr/intranet/publi/2009/01/010044197.pdf
%V 11
%W Horizon (IRD)
%X Objectives: To document the prevalence and the socio-spatial variations of obesity and to identify individual and household characteristics, lifestyles and dietary practices contributing to obesity and its socio-spatial distribution. Design: Population-based cross-sectional survey. We selected 1570 households from four strata characterised as unstructured and low building-density (ULBD), unstructured and high building-density (UHBD), structured and low building-density (SLBD) and structured and high building-density (SHBD) areas. Structured areas are those that were allotted by the township authority (cadastral services), with public services; unstructured areas refer to those developed with no cadastral organisation. Setting: Ouagadougou, the capital city of Burkina Faso. Subjects: BMI was calculated in 2022 adults aged 35 years and above who were classified as obese when their BMI was >= 30 kg/m(2). Obesity was investigated in relation to household and individual characteristics, lifestyles and dietary practices; adjusted odds ratios with 95% confidence intervals were derived from a logistic regression model. Results: The overall prevalence of obesity was 14.7% (males 5.5% and females 21.9%). Age, gender, household equipment index, usual transport with motor vehicles and micronutrient-rich food consumption were associated with obesity. After adjustment for these factors, obesity remained associated with the area of residence: residents from SHBD areas were more likely to be obese than those from ULBD areas (OR =1.41; 95% CI 2.59, 4.76). Conclusions: Obesity in Ouagadougou is a preoccupant problem that calls for more consideration. Thorough investigation is needed to assess the environmental factors that contribute to the socio-spatial disparity of obesity.
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