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Public Health Nutr ; 21(16): 3037-3047, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30107861

RESUMO

OBJECTIVE: 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.


Assuntos
Distúrbios Nutricionais/epidemiologia , Estado Nutricional , Adolescente , Adulto , Antropometria , Bangladesh/epidemiologia , Estudos Transversais , Feminino , Humanos , Pessoa de Meia-Idade , Prevalência , Fatores de Risco , População Rural
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