The Intersection of Neighborhood Environment and Adverse Childhood Experiences: Methods for Creation of a Neighborhood ACEs Index.
The Intersection of Neighborhood Environment and Adverse Childhood Experiences: Methods for Creation of a Neighborhood ACEs Index.
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DOI：
10.3390/ijerph19137819
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发表时间：
2022-06-25
影响因子：
--
通讯作者：
Wheeler, David C.
中科院分区：
文献类型：
--
作者：
Schroeder, Krista;Dumenci, Levent;Sarwer, David B.;Noll, Jennie G.;Henry, Kevin A.;Suglia, Shakira F.;Forke, Christine M.;Wheeler, David C.
关键词：
这项研究评估了创建邻里不良童年经历（ACE）指数的方法，ACE指数是一种综合指标，可以捕捉邻里环境特征（例如，犯罪，医疗保健服务）和个人水平的ACE暴露，为特定人群。社区ACE指数可以帮助了解和解决社区水平对受ACE影响的个人健康的影响。方法涉及横断面二次分析连接个人层面的ACE数据从费城ACE调查（n = 1677）与25个空间数据集捕捉邻里的特点。四种方法进行了测试的指数创建（三种方法的主成分分析，贝叶斯指数回归）。结果指数进行了比较，使用赤池信息标准的准确性解释ACE暴露。进行探索性线性回归分析，以检查ACE之间的关联，邻里ACE指数，和健康结果，在这种情况下，身体质量指数（BMI）。结果表明，贝叶斯指数回归是建立指数的最佳方法。无论是独立还是在控制ACE暴露后，邻居ACE指数与较高的BMI相关。邻居ACE指数减弱了BMI和ACE之间的关联。未来的研究可以采用社区ACE指数来告知上游，基于地方的干预措施和政策，以促进受ACE影响的个人的健康。
This study evaluated methods for creating a neighborhood adverse childhood experiences (ACEs) index, a composite measure that captures the association between neighborhood environment characteristics (e.g., crime, healthcare access) and individual-level ACEs exposure, for a particular population. A neighborhood ACEs index can help understand and address neighborhood-level influences on health among individuals affected by ACEs. Methods entailed cross-sectional secondary analysis connecting individual-level ACEs data from the Philadelphia ACE Survey (n = 1677) with 25 spatial datasets capturing neighborhood characteristics. Four methods were tested for index creation (three methods of principal components analysis, Bayesian index regression). Resulting indexes were compared using Akaike Information Criteria for accuracy in explaining ACEs exposure. Exploratory linear regression analyses were conducted to examine associations between ACEs, the neighborhood ACEs index, and a health outcome—in this case body mass index (BMI). Results demonstrated that Bayesian index regression was the best method for index creation. The neighborhood ACEs index was associated with higher BMI, both independently and after controlling for ACEs exposure. The neighborhood ACEs index attenuated the association between BMI and ACEs. Future research can employ a neighborhood ACEs index to inform upstream, place-based interventions and policies to promote health among individuals affected by ACEs.
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影响因子：
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