Literature DB >> 34235819

Double and triple burden of non-communicable diseases and its determinants among adults in Bangladesh: Evidence from a recent demographic and health survey.

Md Akib Al-Zubayer1, Benojir Ahammed1, Md Alamgir Sarder1, Subarna Kundu1, Uttam Kumar Majumder1, Sheikh Mohammed Shariful Islam2.   

Abstract

BACKGROUND: Globally, non-communicable diseases (NCDs) are a significant public health problem. NCDs are the leading cause of death in Bangladesh. This study aimed to estimate the prevalence of double burden of NCDs (DBNCDs) and triple burden of NCDs (TBNCDs) such as hypertension, diabetes and overweight or obesity and to explore the risk factors of DBNCDs and TBNCDs in Bangladesh. MATERAILS AND METHODS: This study included 12 685 participants (5465 male and 7220 female) from 2017 - 2018 nationally representative Bangladesh Demographic and Health Survey. Descriptive statistics were calculated for the distribution and prevalence of DBNCDs and TBNCDs. Bivariate and multilevel logistic regression analyses were used to assess the individual- and community-level determinants of DBNCDs and TBNCDs.
RESULTS: The prevalence of DBNCDs and TBNCDs was 21.4% and 6.1%, respectively. At individual-level, higher age, female, currently and formerly/ever married, richest, higher education were more likely to suffer from the DBNCDs and TBNCDs. Furthermore, at the community level, the division had a significant association with DBNCDs and TBNCDs. In addition, family size had a significant effect on DBNCDs, and caffeinate drinks and poverty significantly affected TBNCDs.
CONCLUSION: Overall, there is a low prevalence of TBNCDs compared with DBNCDs in Bangladesh. Age, gender, marital status, wealth index, education level and division are significantly associated with DBNCDs and TBNCDs. The government and non-government health organisations should pay proper attention to handle the burden of NCDs in Bangladesh.
© 2021 John Wiley & Sons Ltd.

Entities:  

Year:  2021        PMID: 34235819     DOI: 10.1111/ijcp.14613

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  4 in total

1.  Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study.

Authors:  Ahmad Shaker Abdalrada; Jemal Abawajy; Tahsien Al-Quraishi; Sheikh Mohammed Shariful Islam
Journal:  J Diabetes Metab Disord       Date:  2022-01-12

2.  Factors Associated with Chronic Kidney Disease in Patients with Type 2 Diabetes in Bangladesh.

Authors:  Sheikh Mohammed Shariful Islam; Masudus Salehin; Sojib Bin Zaman; Tania Tansi; Rajat Das Gupta; Lingkan Barua; Palash Chandra Banik; Riaz Uddin
Journal:  Int J Environ Res Public Health       Date:  2021-11-23       Impact factor: 3.390

3.  Socioeconomic inequalities in the risk factors of noncommunicable diseases (hypertension and diabetes) among Bangladeshi population: Evidence based on population level data analysis.

Authors:  Md Ashfikur Rahman
Journal:  PLoS One       Date:  2022-09-20       Impact factor: 3.752

4.  Underweight, overweight or obesity, diabetes, and hypertension in Bangladesh, 2004 to 2018.

Authors:  Phuong Hong Nguyen; Salauddin Tauseef; Long Quynh Khuong; Rajat Das Gupta; Sk Masum Billah; Purnima Menon; Samuel Scott
Journal:  PLoS One       Date:  2022-09-30       Impact factor: 3.752

  4 in total

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