Spatial heterogeneity of blood pressure control and its influencing factors in elderly patients with essential hypertension: A small-scale spatial analysis

被引:0
|
作者
Wei, Jingming [1 ]
Miao, Yudong [2 ]
Zhang, Jingbao [2 ]
Wu, Jian [2 ]
Shen, Zhanlei [2 ]
Bai, Junwen [2 ]
Zhu, Dongfang [2 ]
Ren, Ruizhe [2 ]
Li, Xinran [2 ]
Zhen, Mingyue [2 ]
Zhang, Jiajia [2 ]
Cui, Jinxin [2 ]
Guo, Dan [3 ]
Dong, Wenyong [4 ]
Tarimo, Clifford Silver [5 ]
Zhao, Qiuping [6 ]
Liu, Rongmei [6 ]
Hu, Jianping [7 ]
Li, Miaojun [7 ]
机构
[1] Peking Univ Sixth Hosp, Inst Mental Hlth, Beijing 100191, Peoples R China
[2] Zhengzhou Univ, Coll Publ Hlth, Dept Hlth Management, 100 Kexue Rd, Zhengzhou 450001, Henan, Peoples R China
[3] Zhengzhou Univ, Henan Prov Peoples Hosp, Peoples Hosp, Dept Neurol, Zhengzhou 450000, Henan, Peoples R China
[4] Zhengzhou Univ, Henan Prov Peoples Hosp, Peoples Hosp, Dept Hypertens, Zhengzhou 450000, Henan, Peoples R China
[5] Dar Es Salaam Inst Technol, Dept Sci & Lab Technol, POB 2958, Dar Es Salaam, Tanzania
[6] Zhengzhou Univ, Cent China Fuwai Hosp, Henan Key Lab Hlth Management Chron Dis, Zhengzhou 451450, Henan, Peoples R China
[7] Henan Med Commun & Project Forward Ctr, Henan Engn Technol Res Ctr Hlth Big Data Governanc, Zhengzhou 450000, Henan, Peoples R China
关键词
Elderly patients; Blood pressure control; Community; MGWR; Small scale spatial heterogeneity; CHINA DATA; PREVALENCE; AWARENESS;
D O I
10.1016/j.healthplace.2025.103428
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The blood pressure control status and its influencing factors in elderly patients with essential hypertension are complex. Existing studies often overlook spatial differences or utilize coarse spatial scales, which limits the understanding of the fine patterns of spatial heterogeneity and the design and implementation of further prevention and control policies. Methods: In August 2023, A community-based survey was carried out in Jia County, China, involving a total of 19080 patients over 65 years old. Traditional linear regression and multi-scale geographically weighted regression were used to analyze the influencing factors and their spatial heterogeneity. Results: Low blood pressure control rate was concentrated in the central urban communities, characterized by a significant low-low cluster, while high blood pressure control rate was concentrated in some northwest and southeast rural communities, with a prominent high-high cluster. There was spatial heterogeneity in the influencing factors. For example, obesity was significantly negatively correlated with blood pressure control rate in central urban communities, while physical activity exhibited a positive correlation in northwest and southeast rural communities. Conclusion: This underscores the need to implement hypertension management services according to local conditions in terms of strengthening the weight management of patients in urban communities and the guidance of physical activity in rural communities. The government should increase financial investment in medical and health care in rural communities and reduce the burden of health costs. This study proves that the geospatial approach can provide objective scientific data support for public health policy innovation.
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页数:9
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