Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors.

StudyGeospatial health· Jul 2026

Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors.

Jie Wang, Enwei Zhang, Kun Yang

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GeriatricsStudyQ3IF 1.5

Maximum entropy model showed strong ability to pinpoint rural China's hypertension high-risk areas.

Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors.

Jie Wang … Kun Yang

Geospatial health · Jul 2026 · Q3 in General Medicine

Background

Hypertension poses a major health challenge for the rural elderly in China, but evidence on its spatial patterns and key influencing factors is still limited.

Purpose

This study examined the spatial distribution of hypertension prevalence among rural older adults assessing its associations with dietary, behavioural, socioeconomic and environmental variables.

AUC=0.871

Results

AUC=0.871

identifies high-risk areas well, 1.0 would be perfect

More results

Pearson correlation and maximum entropy (maximum entropy) were used to analyze correlations and identify spatial risk levels.

More results

The results showed that hypertension prevalence was negatively correlated with grain intake (r=-0.600, p=0.002) and poultry consumption (r=-0.504,p=0.010) and alcohol use showed the highest contribution among behavioural variables (39.2%) in the maximum entropy model.

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Conclusion

These findings support the use of maximum entropy as an exploratory tool for chronic disease spatial analysis and may provide spatial reference for public health strategies and resource allocation.

Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors.

Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors.

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