4.4 Article

Diabetes, Hypertension, and Comorbidity among Bangladeshi Adults: Associated Factors and Socio-Economic Inequalities

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Publisher

MDPI
DOI: 10.3390/jcdd10010007

Keywords

Bangladesh; comorbidity; decomposition analysis; diabetes; hypertension; socioeconomic inequalities

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This study examined the prevalence, determinants, and socioeconomic inequalities in diabetes, hypertension, and comorbidity among Bangladeshi adults using the 2017-2018 Bangladesh Demographic and Health Survey data. The study found that age, body mass index, physical activity, household wealth status, and administrative divisions were significantly associated with these conditions. Women had a higher risk of hypertension and comorbidity compared to men. There was also a wealth disparity in the prevalence of these conditions. The study highlights the importance of interventions to address the increasing burden of diabetes, hypertension, and comorbidity.
Diabetes, hypertension, and comorbidity are still crucial public health challenges that Bangladeshis face. Nonetheless, very few studies have been conducted to examine the associated factors, especially the socioeconomic inequalities in diabetes, hypertension, and comorbidity in Bangladesh. This study explored the prevalence of, factors connected with, and socioeconomic inequalities in diabetes, hypertension, and comorbidity among Bangladeshi adults. We used the Bangladesh Demographic and Health Survey (BDHS) data set of 2017-2018. A total of 12,136 (weighted) Bangladeshi adults with a mean age of 39.5 years (+/- 16.2) participated in this study. Multilevel (mixed-effect) logistic regression analysis was employed to ascertain the determinants of diabetes, hypertension, and comorbidity, where clusters were considered as a level-2 factor. The concentration curve (CC) and concentration index (CIX) were utilized to investigate the inequalities in diabetes, hypertension, and comorbidity. The weighted prevalence of diabetes, hypertension, and comorbidity was 10.04%, 25.70%, and 4.47%, respectively. Age, body mass index, physical activity, household wealth status, and diverse administrative divisions were significantly associated with diabetes, hypertension, and comorbidity among the participants. Moreover, participants' smoking statuses were associated with hypertension. Women were more prone to hypertension and comorbidity than men. Diabetes (CIX: 0.251, p < 0.001), hypertension (CIX: 0.071, p < 0.001), and comorbidity (CIX: 0.340, p < 0.001) were higher among high household wealth groups. A pro-wealth disparity in diabetes, hypertension, and comorbidity was found. These inequalities in diabetes, hypertension, and comorbidity emphasize the necessity of designing intervention schemes geared towards addressing the rising burden of these diseases.

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