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

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  • Md Ashfikur Rahman

Abstract

Background: Noncommunicable diseases (NCDs) such as hypertension and diabetes are among the most fatal disease and prevalent among the adult population worldwide, including Bangladesh, and pose a public health threat. Understanding the socioeconomic inequalities linked to NCD risk factors can aid in the development of effective strategies to reduce the disease’s recurrence. However, the literature on socioeconomic inequalities in hypertension and diabetes prevalence in Bangladesh is scant. Therefore, this study seeks to assess the inequality in hypertension and diabetes prevalence and to identify factors that may contribute to socioeconomic inequalities in Bangladesh. Methods: The current study incorporated data from a recent round of Bangladesh Demographic and Health Survey (BDHS 2017–18). The age-standardized prevalence rates of hypertension and diabetes were reported, and the log-binomial regression technique was used to identify the relevant confounders. Additionally, socioeconomic inequalities were quantified using a regression-based decomposition technique in which the concentration index (CIX) and Concentration curve were produced to determine the socioeconomic factors contributing to inequality. Results: Hypertension and diabetes were shown to have an age-standardized prevalence of (11.29% 95% CI: 11.13–11.69) and (36.98% 95% CI: 36.79–37.16), respectively. Both hypertension and diabetes were shown to be pointedly linked to the respondents’ age, wealth status, being overweight or obese, and a variety of respondents’ administrative divisions (p

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  • Md Ashfikur Rahman, 2022. "Socioeconomic inequalities in the risk factors of noncommunicable diseases (hypertension and diabetes) among Bangladeshi population: Evidence based on population level data analysis," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-20, September.
    • Handle: RePEc:plo:pone00:0274978
    DOI: 10.1371/journal.pone.0274978
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    References listed on IDEAS

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    1. Sukumar Vellakkal & S V Subramanian & Christopher Millett & Sanjay Basu & David Stuckler & Shah Ebrahim, 2013. "Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    2. Ben Jann, 2016. "Estimating Lorenz and concentration curves," Stata Journal, StataCorp LLC, vol. 16(4), pages 837-866, December.
    3. Ben Jann, 2016. "Estimating Lorenz and concentration curves in Stata," University of Bern Social Sciences Working Papers 15, University of Bern, Department of Social Sciences, revised 27 Oct 2016.
    4. Owen O’Donnell & Stephen O’Neill & Tom Van Ourti & Brendan Walsh, 2016. "conindex: Estimation of concentration indices," Stata Journal, StataCorp LLC, vol. 16(1), pages 112-138, March.
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    1. Seongju Kim & Dong Jun Kim & Hooyeon Lee, 2024. "Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-11, November.
    2. Brindley, Callum & Van Ourti, Tom & Bonfrer, Igna & O'Donnell, Owen, 2025. "Association of socioeconomic inequality in cardiovascular disease risk with economic development across 57 low- and middle-income countries: Cross-sectional analysis of nationally representative indiv," Social Science & Medicine, Elsevier, vol. 365(C).

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