To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
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.
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.
Ouagadougou, the capital city of Burkina Faso.
BMI was calculated in 2022 adults aged 35 years and above who were classified as obese when their BMI was ≥30 kg/m2. 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.
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).
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.
Email your librarian or administrator to recommend adding this to your organisation's collection.