Suppr超能文献

2018 - 2023年中国脱贫人口高血压患病率:回顾性时空分析

Hypertension Prevalence Among People Lifted Out of Poverty in China in 2018-2023: Retrospective Spatiotemporal Analysis.

作者信息

Zhang Ying, Xia Dong, Lv Zhiyu, Wu Chennan, Chen Jiapeng, Zhang Lulu

机构信息

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Department of Military Health Management, College of Health Service, Naval Medical University, No. 41, Zhengtong Road, Wujiaochang Street, Yangpu District, Shanghai, 200000, China, 86 81871421.

出版信息

JMIR Public Health Surveill. 2025 Aug 19;11:e66501. doi: 10.2196/66501.

Abstract

BACKGROUND

Hypertension is a significant global public health concern, with particular concern in China due to its widespread prevalence. The spatial distribution of hypertension varies significantly, revealing important regional disparities that may impact public health strategies and interventions.

OBJECTIVE

This study aimed to investigate the temporal trends and spatial distribution characteristics of hypertension prevalence among individuals lifted out of poverty in China, covering the period from 2018 to 2023.

METHODS

We used data from the National Health Poverty Alleviation Dynamic Management System to analyze hypertension prevalence among people lifted out of poverty from 2018 to 2023. Long-term trends were assessed using the Joinpoint regression model. Spatial distribution characteristics were examined through global and local spatial autocorrelation, cluster and outlier analyses, and trend surface analyses. These methods provided insights into the spatial aggregation and variability of hypertension prevalence across different regions.

RESULTS

From 2018 to 2023, the prevalence of hypertension among people lifted out of poverty in China increased from 2.71% to 7.29%. The highest rates were observed in the northeast, with Jilin Province ranking first for 3 consecutive years (2020-2023), reaching 27.19% in 2023. Linxi County in Inner Mongolia had prevalence rates exceeding 40% for 5 years (2019-2023), peaking at 47.99% in 2022. Among the 22 provinces containing poverty-stricken counties, 9 showed significant annual increases, with Guangxi having the highest annual percentage change at 27.9018% (95% CI 7.4095%-52.3038%). Spatial analysis identified high-high clusters in northern provinces such as Hebei, Jilin, and Inner Mongolia, and low-low clusters in southwestern provinces such as Yunnan and Guizhou. Trend surface analysis revealed a distinct spatial gradient, with the northeast highest and the southwest lowest.

CONCLUSIONS

The study revealed a generally increasing trend in hypertension prevalence among people lifted out of poverty in China from 2018 to 2023. The highest prevalence rates were concentrated in northeastern poverty-alleviated counties, while southwestern counties exhibited the lowest prevalence rates.

摘要

背景

高血压是一个重大的全球公共卫生问题,在中国因其广泛流行而备受关注。高血压的空间分布差异显著,揭示了可能影响公共卫生策略和干预措施的重要区域差异。

目的

本研究旨在调查2018年至2023年期间中国脱贫人口中高血压患病率的时间趋势和空间分布特征。

方法

我们使用国家健康扶贫动态管理系统的数据,分析2018年至2023年脱贫人口中的高血压患病率。使用Joinpoint回归模型评估长期趋势。通过全局和局部空间自相关、聚类和离群值分析以及趋势面分析来检查空间分布特征。这些方法深入了解了不同地区高血压患病率的空间聚集和变异性。

结果

2018年至2023年,中国脱贫人口中的高血压患病率从2.71%上升至7.29%。东北地区患病率最高,吉林省连续3年(2020 - 2023年)排名第一,2023年达到27.19%。内蒙古自治区林西县5年(2019 - 2023年)患病率超过40%,2022年达到峰值47.99%。在包含贫困县的22个省份中,9个省份呈现出显著的年度增长,广西年度变化百分比最高,为27.9018%(95%置信区间7.4095% - 52.3038%)。空间分析确定了河北、吉林和内蒙古等北方省份存在高高聚类,云南和贵州等西南省份存在低低聚类。趋势面分析揭示了明显的空间梯度,东北地区最高,西南地区最低。

结论

该研究揭示了2018年至2023年中国脱贫人口中高血压患病率总体呈上升趋势。患病率最高的地区集中在东北脱贫县,而西南县的患病率最低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8453/12364423/0c42ce6b49a3/publichealth-v11-e66501-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验