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Background <p>Cognitive impairment is frequent but often overlooked among elderly hypertensive individuals in rural settings. Existing studies have predominantly relied on global statistical models that assume uniform effects across space, failing to capture geographic heterogeneity in risk factor mechanisms and limiting the development of geographically targeted intervention strategies.</p> Methods <p>A cross-sectional survey was conducted among 18,963 patients aged ≥ 65 years with diagnosed hypertension in Jia County, Henan Province, China (August 2023). The Bayesian Spatial Variable Coefficient (BSVC) model was applied to quantify each determinant’s spatial contribution using the Spatial Target Variable Contribution Index (STVPI). The Multi-Scale Geographically Weighted Regression (MGWR) model was subsequently employed to characterize the spatial scale and directional variation of each factor’s effect. Together, these complementary models enable both ranking of factor importance and mapping of spatially heterogeneous effects.</p> Results <p>Central-northern rural communities exhibited the most pronounced high-high spatial clustering of cognitive impairment (Global Moran’s I = 0.17, <i>p</i> &lt; 0.001). Lifestyle factors accounted for the largest share of spatial variation (25.34%), identifying behavioral determinants as the primary modifiable drivers of geographic disparities. Physical activity (STVPI = 8.62%, 95% CI: 5.64%–13.01%) and adequate sleep (STVPI = 5.21%, 95% CI: 2.26%–10.36%) demonstrated spatially stable protective effects consistent across all communities. In contrast, per capita household income, distance to major roads, and number of hospitalizations showed significant spatial heterogeneity, with effects varying substantially by location.</p> Conclusion <p>Cognitive impairment among rural elderly hypertensive patients exhibits significant spatial clustering, with high-burden communities concentrated in the central-northern region. Physical activity and adequate sleep are spatially stable protective factors suitable for county-wide behavioral intervention, while income, healthcare access, and cooking environment require geographically differentiated responses—income support in north-central communities, inpatient care improvement in peripheral areas, and clean cooking promotion in western communities. The BSVC–MGWR framework provides a replicable tool for identifying high-risk areas and guiding precision resource allocation in resource-limited rural settings.</p>

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Spatial heterogeneity and influencing factors of cognitive impairment among elderly hypertensive patients: evidence from rural communities in China

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月18日

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  • Jiaxin Han,
  • Yudong Miao,
  • Zhanlei Shen,
  • Jingbao Zhang,
  • Dongfang Zhu,
  • Xinran Li,
  • Mingyue Zhen,
  • Jiajia Zhang,
  • Jinxin Cui,
  • Lingxiao Mou,
  • Qingyong Lu,
  • Yixi Wang,
  • Jingwei Qin,
  • Jingming Wei,
  • Clifford Silver Tarimo,
  • Qiuping Zhao,
  • Rongmei Liu,
  • Wenyong Dong

摘要

Background

Cognitive impairment is frequent but often overlooked among elderly hypertensive individuals in rural settings. Existing studies have predominantly relied on global statistical models that assume uniform effects across space, failing to capture geographic heterogeneity in risk factor mechanisms and limiting the development of geographically targeted intervention strategies.

Methods

A cross-sectional survey was conducted among 18,963 patients aged ≥ 65 years with diagnosed hypertension in Jia County, Henan Province, China (August 2023). The Bayesian Spatial Variable Coefficient (BSVC) model was applied to quantify each determinant’s spatial contribution using the Spatial Target Variable Contribution Index (STVPI). The Multi-Scale Geographically Weighted Regression (MGWR) model was subsequently employed to characterize the spatial scale and directional variation of each factor’s effect. Together, these complementary models enable both ranking of factor importance and mapping of spatially heterogeneous effects.

Results

Central-northern rural communities exhibited the most pronounced high-high spatial clustering of cognitive impairment (Global Moran’s I = 0.17, p < 0.001). Lifestyle factors accounted for the largest share of spatial variation (25.34%), identifying behavioral determinants as the primary modifiable drivers of geographic disparities. Physical activity (STVPI = 8.62%, 95% CI: 5.64%–13.01%) and adequate sleep (STVPI = 5.21%, 95% CI: 2.26%–10.36%) demonstrated spatially stable protective effects consistent across all communities. In contrast, per capita household income, distance to major roads, and number of hospitalizations showed significant spatial heterogeneity, with effects varying substantially by location.

Conclusion

Cognitive impairment among rural elderly hypertensive patients exhibits significant spatial clustering, with high-burden communities concentrated in the central-northern region. Physical activity and adequate sleep are spatially stable protective factors suitable for county-wide behavioral intervention, while income, healthcare access, and cooking environment require geographically differentiated responses—income support in north-central communities, inpatient care improvement in peripheral areas, and clean cooking promotion in western communities. The BSVC–MGWR framework provides a replicable tool for identifying high-risk areas and guiding precision resource allocation in resource-limited rural settings.