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July 1, 2026Journal of public health researchOpen Access

Machine learning approaches to identify influential factors associated with hypertension and prehypertension among rural adults in Bangladesh

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Key result

The prevalence of hypertension and prehypertension among rural adults in Bangladesh was 30.9% and 40.8%, respectively, with older age and overweight/obesity identified as top predictors.

Why the study?

Hypertension poses a significant public health challenge in Bangladesh, particularly among rural populations with limited healthcare access, prompting the need to identify influential factors associated with hypertension and prehypertension using machine learning methods.

Population

1603 respondents in rural Bangladesh

Design

Cross-sectional survey using multistage random sampling

Authors

MIMd. Zahidul IslamKent State UniversityMCMohammad Rocky Khan ChowdhuryJatiya Kabi Kazi Nazrul Islam UniversityZRZarin RaihanaUniversity of Rajshahi

Discussion

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Member takes

Overview

ML models may aid hypertension screening in rural low-resource settings; hypothesis-generating and requires prospective validation before any clinical adoption.

Study Design

Type

Cross-Sectional (n=1,603)

Structured PICO

P
Population
1,603 rural adults in Bangladesh assessed for factors associated with hypertension and prehypertension using machine learning models.
E
Exposure
Five machine learning algorithms (including XGB and LR) and SHAP technique for identifying influential variables.
O
Outcome
Predictive performance of machine learning models for hypertension and prehypertension, evaluated using standard validation metrics (accuracy, ROC).

Machine learning models, particularly XGBoost, can effectively predict hypertension and identify key risk factors such as older age and obesity in rural Bangladeshi populations.

Cite This Study

Islam et al. (2026) conducted a cross-sectional in Hypertension and prehypertension (n=1,603). Risk factors (e.g., older age, overweight/obesity, smoking status) was evaluated on Prediction of hypertension and prehypertension. The prevalence of hypertension and prehypertension among rural adults in Bangladesh was 30.9% and 40.8%, respectively, with older age and overweight/obesity identified as top predictors.

synapsesocial.com/papers/6aa042f77ce2e153a3a2f52ahttps://doi.org/10.1177/22799036261467444
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Also Consider

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  1. 1Machine learning approaches in identifying factors associated with hypertension and undiagnosed hypertension in adults in rural areas of Bangladesh2026 · 1 citations
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