使用CLSA和SOS数据作为工作示例构建多层次社会脆弱性指数的标准程序.
Jasmine C Mah1,2, Olga Theou3,4, Mario Ulises Perez-Zepeda5
1Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
PloS one
|December 13, 2024
概括
开发了一种创建社会脆弱性指数 (SVI) 的标准方法. 该指数是从社会赤字中构建的,预测不良健康事件,并可以增强对社区和个人健康影响的理解.
科学领域:
- 社会流行病学社会流行病学
- 健康差异研究 研究健康差异研究
- 公共卫生政策 公共卫生政策
背景情况:
- 社会脆弱性是不良健康结果的关键预测因素.
- 社会脆弱性指数 (SVI) 汇总了社会赤字以量化脆弱性.
- 需要一个标准化的程序来构建一个多层次的SVI.
研究的目的:
- 描述构建多层次社会脆弱性指数 (SVI) 的标准程序.
- 使用两个不同的数据集来应用和验证这个SVI构建方法.
- 评估构造的SVI与年龄和脆弱性的关联.
主要方法:
- 使用六步方法构建SVI,包括项目选择和赤字选.
- 对加拿大免疫研究网络的严重结果监测网络 (SOS) 和加拿大老龄化纵向研究 (CLSA) 数据集进行了二次分析.
- 采用多变量线性回归来检查SVI和脆弱性之间的关系,对年龄和性别进行控制.
主要成果:
- 为SOS创建了一个18个赤字SVI,为CLSA创建了一个74个赤字SVI.
- 在SOS中,SVI与脆弱的相关性很弱 (r=0.26),并且与女性的年龄有关.
- 在CLSA中,SVI与脆弱性 (r=0.41) 有中度的关联,并且在两性中与年龄有关.
结论:
- 提出了一种标准化方法,用于构建一个多层次的SVI,整合社会生态因素.
- 开发的SVI有效量化了社会脆弱性.
- 这种SVI可以提高对社会脆弱性对人口健康影响的理解.
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