Exploring food practices and predictive factors of specific ethnic people of Bangladesh: A cross-sectional study

Background: Bangladesh has a diversified ethnic minority with their own diverse food practice. This seems to be a cause of poor health status of these ethnic groups. This study aimed to assess the food practices and predictive factors of the specific ethnic people of Bangladesh. Methods: A cross-sectional study was conducted among 350 adult Rakhain people of Cox’s Bazar district of Bangladesh. Data were collected through face-to-face interviews. Food practice score was calculated based on healthy and unhealthy intake, categorized as 'good' or 'poor' based on a mid-point cut-off of 50%. Results: This study revealed that the majority (66%) of participants exhibited poor dietary habits significantly (p<0.01) associated with increased consumption of fast food and soft drinks, low intake of fruits, vegetables, and meat, cultural food choice, food preparation techniques, sources and purification procedure of drinking water. Poor dietary habits were significantly associated with higher odds among individuals categorized as businessmen (aOR=3.43), those with >6 family members (aOR=4.53), those with >3 children (aOR=4.89) and non-standard sleeping status (aOR=3.45). Conclusions: Many Rakhain people in Bangladesh have poor dietary habits influenced by demographics. This study identifies factors shaping ethnic food practices and recommends culturally tailored nutrition programs to improve health in these communities.

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Publication Details

Journal
Indian Journal of Public Health Research & Development
Published
2025-09-24
DOI
https://doi.org/10.37506/gxsbnz41
Primary Topic
Agricultural Economics and Practices
Type
article
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article

Exploring food practices and predictive factors of specific ethnic people of Bangladesh: A cross-sectional study

Gehanath Baral, Bilkis Banu, Sujana Haque Chowdhury, Nusrat Hossain Sheba et al.
Indian Journal of Public Health Research & Development
Agricultural Economics and Practices
article

Exploring food practices and predictive factors of specific ethnic people of Bangladesh: A cross-sectional study

Gehanath Baral, Bilkis Banu, Sujana Haque Chowdhury, Nusrat Hossain Sheba, Nasrin Akter
article en

Abstract

Background: Bangladesh has a diversified ethnic minority with their own diverse food practice. This seems to be a cause of poor health status of these ethnic groups. This study aimed to assess the food practices and predictive factors of the specific ethnic people of Bangladesh. Methods: A cross-sectional study was conducted among 350 adult Rakhain people of Cox’s Bazar district of Bangladesh. Data were collected through face-to-face interviews. Food practice score was calculated based on healthy and unhealthy intake, categorized as 'good' or 'poor' based on a mid-point cut-off of 50%. Results: This study revealed that the majority (66%) of participants exhibited poor dietary habits significantly (p<0.01) associated with increased consumption of fast food and soft drinks, low intake of fruits, vegetables, and meat, cultural food choice, food preparation techniques, sources and purification procedure of drinking water. Poor dietary habits were significantly associated with higher odds among individuals categorized as businessmen (aOR=3.43), those with >6 family members (aOR=4.53), those with >3 children (aOR=4.89) and non-standard sleeping status (aOR=3.45). Conclusions: Many Rakhain people in Bangladesh have poor dietary habits influenced by demographics. This study identifies factors shaping ethnic food practices and recommends culturally tailored nutrition programs to improve health in these communities.

Indian Journal of Public Health Research & DevelopmentVol. 16(4)
Independent University, Bangladesh (BD), Northern University Bangladesh (BD)
Openalex Percentile: Top 60%
Agricultural Economics and Practices
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Exploring food practices and predictive factors of specific ethnic people of Bangladesh: A cross-sectional study — Gehanath Baral, Bilkis Banu, et al. · Indian Journal of Public Health Research & Development (2025) | TGRS Research Map | TGRS