We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save 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 saving content to .
To save content items to your Kindle, first ensure [email protected]
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 saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved 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.
The present study examined the prevalence of and risk factors for malnutrition in a population-based cohort of women of childbearing age in rural Bangladesh.
Design
A cross-sectional study that collected pre-pregnancy weight, height, and data on selected risk factors for nutritional status of women.
Setting
The study was conducted in Sylhet District of Bangladesh.
Subjects
Study subjects included 13 230 non-pregnant women of childbearing age. Women were classified into underweight (<18·5 kg/m2), normal (18·5–24·9 kg/m2) and overweight/obese (≥25·0 kg/m2) using BMI; and into moderate to severe stunting (<150 cm), mild stunting (150–<155 cm) and normal (≥155 cm) using height. Two multinomial logistic regression models were fitted for BMI: model 1 examined individual and household factors associated with BMI, and model 2 additionally examined the association of community variables. The same analysis was conducted for height.
Results
Prevalence of underweight, overweight/obesity and moderate to severe stunting was 37·0, 7·2 and 48·6 %, respectively. Women’s education and household wealth were inversely related to both underweight status and stunting. Underweight rate was significantly lower in the post-harvest season. Women with any education and who belonged to households with higher wealth were more likely to be overweight/obese.
Conclusions
The study documented high underweight and stunting, and moderate overweight/obesity rates among rural Bangladeshi women; and recommends design and implementation of a multidimensional intervention programme based on individual-, household- and community-level risk factors that can address underweight, stunting and overweight/obesity to improve the nutritional status of women of childbearing age in Bangladesh.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.