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dc.contributor.authorGupta, Rajat Das
dc.contributor.authorAl Kibria, Gulam Muhammed
dc.date.accessioned2022-07-21T09:19:57Z
dc.date.available2022-07-21T09:19:57Z
dc.date.copyright2021
dc.date.issued2021-04-16
dc.identifier.citationGupta, R. D., & Al Kibria, G. M. (2021). Prevalence and associated factors of underweight, overweight, and obesity among Bangladeshi adults: An analysis of demographic and health survey 2017-18. Obesity Medicine, 23 doi:10.1016/j.obmed.2021.100342en_US
dc.identifier.urihttp://hdl.handle.net/10361/17026
dc.descriptionThis article was published in Obesity Medicine by Elsevier [© 2021 Elsevier Ltd. All rights reserved.] and the definite version is available at: https://doi.org/10.1016/j.obmed.2021.100342 The Journal's website is at: https://www.sciencedirect.com/science/article/abs/pii/S2451847621000257en_US
dc.description.abstractThis study aimed to determine the prevalence and associated factors of underweight, overweight, and obesity among Bangladeshi adults (≥18 years) using the nationally representative Bangladesh Demographic and Health Survey 2017-18 data. An Asian-specific body mass index cut-off was used to define underweight, overweight, and obesity. Multivariable multilevel logistic regression was conducted to investigate associated factors and was reported with adjusted odds ratio [AOR] with 95% confidence interval (CI). The overall prevalence of underweight, overweight, and obesity was 17.1% (95% CI: 16.2%, 18.0%), 29.4% (95% CI: 28.4%, 30.4%), and 10.8% (95% CI: 10.1%, 11.5%), respectively. Compared to 18-29-year old people, the odds of underweight and overweight/obesity was lower among people with 30–49 years of age, respectively. Males had also lower odds of overweight/obesity than females (AOR: 0.47; 95% CI: 0.42,0.51). The odds of underweight declined with increasing education level and wealth quintile. However, the odds of overweight/obesity increased with increasing education level and wealth quintile. Work status or place of residence did not have any significant association. Multisectoral interventions should be launched by targeting the at-risk population for the underweight and overweight/obesity prevention programs irrespective of work status or place of residence.en_US
dc.publisherScience Directen_US
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S2451847621000257
dc.subjectUnderweighten_US
dc.subjectOverweighten_US
dc.subjectObesityen_US
dc.subjectBangladeshen_US
dc.titlePrevalence and associated factors of underweight, overweight, and obesity Among Bangladeshi adults: An analysis of demographic and health survey 2017-18en_US
dc.typeThesisen_US
dc.description.versionPublished
dc.contributor.departmentBrac James P. Grant School of Public Health
dc.identifier.doihttps://doi.org/10.1016/j.obmed.2021.100342
dc.relation.journalObesity Medicine


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