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用于社区诊断和健康促进的地理社交工具。

Geosocial Tools for Community Diagnosis and Health Promotion.

作者信息

Li Yang, Spini Dario, Delgado Villanueva Cecilia

机构信息

Institute of Psychology, Swiss Centre of Expertise in Life Course Research, University of Lausanne, Lausanne, Switzerland.

出版信息

Health Educ Behav. 2025 Apr;52(2):219-228. doi: 10.1177/10901981241294230. Epub 2024 Nov 6.

DOI:10.1177/10901981241294230
PMID:39506263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11894869/
Abstract

Growing research highlights the role of local community contexts in health and well-being. Communities function as central arenas for health promotion as individuals and community spaces interact in daily life. To better communicate the linkages between community and health, we demonstrate the use of a set of geosocial tools for community diagnosis and health promotion, conceptually grounded in the framework of geosocial embeddedness, using data from community surveys and participatory research conducted with local inhabitants to engage their competency. Through a web-based interactive map generated using a geographic information system, we identified public territories in the municipality where greater policy attention is needed to enhance health. Through an intersectional matrix produced using multilevel analysis, we identified precise social groups by intersectional categories that are most at risk of loneliness for targeted intervention. A health radar chart on multidomain indicators illustrated information on group dynamics and longitudinal comparisons for health promotion. Overall, these tools offered not only diagnoses of the most vulnerable social groups for tailored interventions but also insight for policymakers to improve infrastructure and material resources to promote health. We conclude that geosocial tools offer a promising approach toward sharpening health communication and improving health in the community.

摘要

越来越多的研究凸显了当地社区环境在健康和福祉方面的作用。社区作为健康促进的核心场所,因为个人与社区空间在日常生活中相互作用。为了更好地阐述社区与健康之间的联系,我们展示了一套用于社区诊断和健康促进的地理社会工具,这些工具在概念上以地理社会嵌入性框架为基础,利用社区调查数据以及与当地居民进行的参与式研究来发挥他们的能力。通过使用地理信息系统生成的基于网络的交互式地图,我们确定了该市需要更多政策关注以促进健康的公共区域。通过使用多层面分析生成的交叉矩阵,我们按交叉类别确定了最易感到孤独需要进行有针对性干预的精确社会群体。多领域指标的健康雷达图展示了有关群体动态和健康促进纵向比较的信息。总体而言,这些工具不仅提供了针对特定干预措施的最脆弱社会群体的诊断,还为政策制定者提供了改善基础设施和物质资源以促进健康的见解。我们得出结论,地理社会工具为加强健康传播和改善社区健康提供了一种很有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/61845cb6aec5/10.1177_10901981241294230-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/64b832cffbe4/10.1177_10901981241294230-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/0483548582c6/10.1177_10901981241294230-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/a559fe32d53c/10.1177_10901981241294230-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/8bb2a63c5a68/10.1177_10901981241294230-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/61845cb6aec5/10.1177_10901981241294230-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/64b832cffbe4/10.1177_10901981241294230-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/0483548582c6/10.1177_10901981241294230-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/a559fe32d53c/10.1177_10901981241294230-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/8bb2a63c5a68/10.1177_10901981241294230-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fd/11894869/61845cb6aec5/10.1177_10901981241294230-fig5.jpg

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