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北京健康结果的空间特征及其影响因素的地理探测。

Spatial characteristics of health outcomes and geographical detection of its influencing factors in Beijing.

机构信息

Institute of Medical Information / Medical Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

Front Public Health. 2024 Oct 16;12:1424801. doi: 10.3389/fpubh.2024.1424801. eCollection 2024.

Abstract

BACKGROUND AND OBJECTIVE

Social determinants of health (SDOH) broadly influence health levels. Research on health and its influencing factors can help improve health status. There is limited research on the spatial stratified heterogeneity of health status and the interactions between the factors influencing it. This study aimed to analyze the spatial characteristics of health outcomes in Beijing and identify its influencing factors.

METHODS

Based on the , we constructed health outcomes and five dimensions of the SDOH evaluation system. Our study measured the health outcomes and SDOH based on the latest data from 16 districts in Beijing in 2020-2022. We explored the spatial characteristics of health outcomes through descriptive and spatial autocorrelation analyses. Moreover, the Geographical Detector (GeoDetector) technique has been used to reveal the effect of SDOH and its interactions on health outcomes.

RESULTS

A significant spatial stratified heterogeneity of health outcomes was observed, with the health outcomes mainly exhibiting two clustering types (high-high and low-low) with positive autocorrelation. The results of the geodetector showed that social and economic factors ( = 0.85), healthy lifestyle ( = 0.68) and health service ( = 0.53) could mainly explain the heterogeneity of health outcomes. Social and economic factors, healthy lifestyle and healthy environment gradually became the main influential factor in health outcomes over time. Furthermore, the interaction of any two factors on health outcomes was found to be more pronounced than the impact of a single factor.

CONCLUSION

There existed obvious spatial stratified heterogeneity of health outcomes in Beijing, which could be primarily explained by social and economic factors, and healthy lifestyle and health service.

摘要

背景与目的

健康的社会决定因素(SDOH)广泛影响健康水平。对健康及其影响因素的研究有助于改善健康状况。关于健康状况的空间分层异质性及其影响因素之间的相互作用的研究有限。本研究旨在分析北京健康状况的空间特征,并确定其影响因素。

方法

我们基于健康中国 2030 规划纲要,构建了健康结果和五个 SDOH 评价体系维度。我们的研究基于 2020-2022 年北京 16 个区的最新数据,对健康结果和 SDOH 进行了测量。我们通过描述性和空间自相关分析探讨了健康结果的空间特征。此外,还使用地理探测器(GeoDetector)技术揭示了 SDOH 及其相互作用对健康结果的影响。

结果

观察到健康结果存在显著的空间分层异质性,健康结果主要表现出两种聚类类型(高-高和低-低),具有正自相关性。地理探测器的结果表明,社会经济因素( = 0.85)、健康生活方式( = 0.68)和卫生服务( = 0.53)可以主要解释健康结果的异质性。社会经济因素、健康生活方式和健康环境逐渐成为健康结果的主要影响因素。此外,还发现任何两个因素对健康结果的相互作用比单个因素的影响更为显著。

结论

北京的健康结果存在明显的空间分层异质性,主要由社会经济因素、健康生活方式和卫生服务来解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d77/11521850/98ba7c88e74e/fpubh-12-1424801-g001.jpg

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