ArticleBMJ open2022
Factors associated with low and medium household dietary diversity compared with high dietary diversity among marginalised households in rural Bangladesh: Findings from a Suchana baseline survey.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 14 citations in OpenAlex.
- Smallholder farmers' knowledge, practices and dietary responses to aflatoxin contamination in Baringo county, Kenya.Mycotoxin research · 2026Article
- Dietary diversity among Sundarbans forest-dependent communities: Prevalence, determinants, and livelihood implications.PloS one · 2026Article
- Determinants of food insecurity among slum households of Khulna Division, Bangladesh.Scientific reports · 2025Article
- Flavor and Well-Being: A Comprehensive Review of Food Choices, Nutrition, and Health Interactions.Food science & nutrition · 2025Review
- Prevalence and factors associated with malnutrition on patients with cancer in Bangladesh: a cross-sectional study.BMJ public health · 2024Article
- Does government food demonstration intervention influence household dietary diversity in the Upper West Region of Ghana?PloS one · 2024Article
- Food Insecurity and its Association with Dietary Diversity: A Cross-Sectional Study in Rural Households in Jammu.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
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Authors and funding
10 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to identify the associated factors of low and medium household (HH) dietary diversity (DD) compared with high DD among marginalised households in rural Bangladesh.
methodsThrough the Suchana baseline survey, data on 5440 households from Sylhet and Moulvibazar districts of Bangladesh was collected between November 2016 and February 2017. Household DD was categorised as low, medium or high based on number of food groups consumed during the last 24 hours. Primary outcome measure was household DD; multinomial logistic regression was to determine independent correlations between outcome and independent variables.
resultsOf the households examined, 0.72%, 31.8% and 67.5% had low, medium and high DD, respectively. Around 99% and 97% of households consumed cereals and vegetables. Cereals, fruits and legumes accounted for 36%, 18% and 16% of total food expenditure; vegetables only represented 8% of total expenditure; 70% of total monthly expenditure was on food items. Compared with high DD, low DD was significantly associated with severe food insecurity, not receiving remittance, not being supported by social safety-net programs, household size of 6-10, household income and expenditure on food below-median. Severe food insecurity was the strongest predictor of low DD. Age, occupation and educational status of the household head, amount of land owned and presence of a homestead garden, fish production and domestic violence were not significantly associated with DD.
conclusionOur findings suggest that nine out of ten households were food insecure, and nearly two-thirds of households had high DD. Severe food insecurity was significantly associated with low DD. Expenditure on food items amounted to nearly two-thirds of total household expenditure. Diversification of income-generating activities would provide more sources of income to the households, allowing the households to spend more on non-cereal food items and increase the household dietary diversity.
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