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

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. This study examined the spatial distribution of hypertension prevalence among rural older adults assessing its associations with dietary, behavioural, socioeconomic and environmental variables. Pearson correlation and maximum entropy (MaxEnt) were used to analyze correlations and identify spatial risk levels. 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 MaxEnt model. Climate zones were also associated with prevalence (r=-0.260,p=0.010), with higher risk in temperate and some subtropical regions. The MaxEnt model showed good discriminatory ability (area under the curve (AUC)=0.871) in identifying hypertension high-risk areas mainly in northern and north-eastern rural China. This study provides spatial epidemiological evidence on hypertension among the rural elderly, suggesting that dietary patterns, alcohol consumption and climate conditions may be associated with spatial risk variation. These findings support the use of MaxEnt as an exploratory tool for chronic disease spatial analysis and may provide spatial reference for public health strategies and resource allocation.

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Journal
Geospatial health
Published
2026-07-23
DOI
https://doi.org/10.4081/gh.2026.1498
Primary Topic
Nutritional Studies and Diet
Type
article
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article

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

Yi-Xiang Wang, Enwei Zhang, Kun Yang
Geospatial health
Nutritional Studies and Diet
article

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

Yi-Xiang Wang, Enwei Zhang, Kun Yang
article en

Abstract

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. This study examined the spatial distribution of hypertension prevalence among rural older adults assessing its associations with dietary, behavioural, socioeconomic and environmental variables. Pearson correlation and maximum entropy (MaxEnt) were used to analyze correlations and identify spatial risk levels. 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 MaxEnt model. Climate zones were also associated with prevalence (r=-0.260,p=0.010), with higher risk in temperate and some subtropical regions. The MaxEnt model showed good discriminatory ability (area under the curve (AUC)=0.871) in identifying hypertension high-risk areas mainly in northern and north-eastern rural China. This study provides spatial epidemiological evidence on hypertension among the rural elderly, suggesting that dietary patterns, alcohol consumption and climate conditions may be associated with spatial risk variation. These findings support the use of MaxEnt as an exploratory tool for chronic disease spatial analysis and may provide spatial reference for public health strategies and resource allocation.

Geospatial healthVol. 21(2)
Yunnan Normal University (CN), Chongqing University (CN), Yunnan Institute of Environmental Sciences (CN)
Climate action
Openalex Percentile: Top 7%
Nutritional Studies and Diet
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Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors — Yi-Xiang Wang, Enwei Zhang, et al. · Geospatial health (2026) | TGRS Research Map | TGRS