Cardiovascular

Comparative Analysis of Hypertension Stages Prevalence and Associated Factors in Bangladesh: Evidence From BDHS 2017-18 and 2022.

TL;DR

Education, BMI, wealth index, diabetes status, and division were identified as the principal determinants of hypertension stages in Bangladesh, with obesity associated with 5.3 times higher odds of severe hypertension in 2022.

Key Findings

Obesity was a strong and consistent predictor of severe hypertension in Bangladesh across both survey years.

  • Obese respondents had 5.3 times higher odds of severe hypertension in 2022 (AOR: 5.3, 95% CI: 3.2–8.7)
  • BMI was identified as a significant and consistent predictor of hypertension stages (SHT) in both the 2017/18 and 2022 survey years
  • Both multinomial logistic regression (MLR) and SHAP-based approaches identified BMI as a principal determinant of SHT for the BDHS 2022 dataset

Secondary education was associated with higher odds of controlled hypertension in 2022.

  • Respondents with secondary education had 1.4 times higher odds of having controlled hypertension (AOR: 1.4, 95% CI: 1.1–1.8) in 2022
  • Education was identified as a significant and consistent predictor of SHT in both 2017/18 and 2022 survey years
  • Both MLR and SHAP-based approaches identified education as a principal determinant of SHT for the BDHS 2022 dataset

Seven significant covariates were identified as influencing hypertension stages in both BDHS 2017/18 and 2022 after adjusting for age and gender.

  • The study used two cross-sectional datasets: BDHS 2017/18 (n = 12,189 respondents) and BDHS 2022 (n = 13,843 respondents), all aged ≥18 years
  • Multinomial logistic regression (MLR) models were used to assess influence on hypertension stages (p < 0.05)
  • A SHAP-based approach was additionally used to quantify the contribution of each covariate to predictive performance for SHT classification
  • The five principal determinants identified by both MLR and SHAP for BDHS 2022 were education, BMI, wealth index, diabetes status, and division

Wealth index showed a changing association with hypertension stages over time between the two survey periods.

  • Respondents from middle and rich households had higher odds of mild hypertension in 2017/18
  • In 2022, only rich respondents were found to have higher odds of both controlled hypertension (CHT) and mild hypertension
  • Wealth index was identified as one of the principal determinants of SHT in the BDHS 2022 dataset by both MLR and SHAP-based approaches

Marital status showed a changing association with hypertension stages over time, with divorced respondents having significantly higher risk of severe hypertension in 2022.

  • Divorced respondents showed a significantly higher risk of developing severe hypertension in 2022
  • Marital status was noted as showing a 'changing association with SHT over time' between the two survey periods
  • This finding was identified through multinomial logistic regression analysis

Geographic division was identified as a principal determinant of hypertension stages in Bangladesh in 2022.

  • Division was among the five principal determinants identified by both MLR and SHAP-based approaches for the BDHS 2022 dataset
  • The findings highlight the need for 'geographically targeted and socioeconomically tailored public health interventions in Bangladesh'
  • Division was not listed among the consistent predictors across both survey years, suggesting its prominence may have increased by 2022

Diabetes status was identified as a principal determinant of hypertension stages in the 2022 Bangladesh survey.

  • Diabetes status was among the five principal determinants identified by both MLR and SHAP-based approaches for BDHS 2022
  • Diabetes status was not explicitly listed among the consistent predictors found in both survey years
  • The chi-square (χ²) analysis examined the association between selected covariates including diabetes status and hypertension stages

What This Means

This research analyzed data from two large national health surveys in Bangladesh — one conducted in 2017/18 with over 12,000 participants and one in 2022 with nearly 14,000 participants — to understand what factors are associated with different stages of high blood pressure (hypertension) and how those associations may have changed over time. The researchers used statistical models and a newer artificial intelligence technique (called SHAP analysis) to rank which factors most strongly predicted whether someone had controlled, mild, or severe hypertension. Both approaches consistently pointed to education level, body weight (BMI), household wealth, diabetes, and geographic region as the most important predictors of hypertension stage in 2022. Some specific findings stand out: people with obesity had more than five times the odds of having severe hypertension compared to those without obesity in 2022, and having a secondary education was linked to somewhat higher odds of having controlled (managed) hypertension. Wealthier households were associated with higher rates of mild and controlled hypertension. Notably, divorced individuals showed a significantly elevated risk of severe hypertension in 2022, a pattern that was not as apparent in the earlier survey, suggesting that social circumstances can shift in their health relevance over time. This research suggests that efforts to address high blood pressure in Bangladesh should not use a one-size-fits-all approach. Instead, public health programs may need to be tailored to specific geographic regions and socioeconomic groups. The changing patterns between the two surveys also indicate that factors influencing hypertension risk can evolve over relatively short periods, meaning that regular monitoring and updated policy responses are important for managing this widespread health condition.

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Citation

Roy T, Zaman M, Pollob A, Asadujjaman M, Abedin M, Islam M, et al.. (2026). Comparative Analysis of Hypertension Stages Prevalence and Associated Factors in Bangladesh: Evidence From BDHS 2017-18 and 2022.. Journal of clinical hypertension (Greenwich, Conn.). https://doi.org/10.1111/jch.70358