康涅狄格州基于全州调查的宜居性衡量标准的开发与验证

IF 3.8 2区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Health & Place Pub Date : 2024-06-04 DOI:10.1016/j.healthplace.2024.103282

Nishita Dsouza , Amy Carroll-Scott , Usama Bilal , Irene E. Headen , Harrison Quick , Rodrigo Reis , Mark Abraham , Ana P. Martinez-Donate

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引用次数: 0

摘要

宜居性，或一个地方及其系统（如住房、交通）如何支持人们过上宜居生活的能力，是健康的决定因素。在美国，缺乏评估宜居性的标准、有效措施。本研究采用因子分析方法，利用 DataHaven 社区福祉调查（DCWS）的数据（n = 32,262）创建康涅狄格州的宜居性衡量标准。结果发现，3 因子模型（安全、机会和基础设施）最为合适，可解释 69% 的调查项目差异。新创建的宜居度量具有较高的内部一致性，此外还与其他地区级度量具有较高的趋同效力。

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Development and validation of statewide survey-based measures of livability in Connecticut

Livability, or how a place and its systems (e.g., housing, transportation) supports the ability to lead a livable life, is a determinant of health. There is a lack of standard, validated measures to assess livability in the US. This study employed factor analytic methods to create measures of livability in Connecticut using data from the DataHaven Community Wellbeing Survey (DCWS) (n = 32,262). Results identified a 3-factor model (safety, opportunity, and infrastructure) as the best fit, explaining 69% of the variance in survey items. Newly created livability measures had high internal consistency, in addition to high convergent validity with other area-level measures.

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