Australian Centre for Precision Health, Division of Health Sciences, University of South Australia, Australia.
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, United States.
Health Place. 2019 Sep;59:102140. doi: 10.1016/j.healthplace.2019.05.018. Epub 2019 Jul 30.
A systematic review was conducted, following PRISMA guidelines, to examine the application of finite mixture models (FMMs) in the study of neighbourhoods and health. Two reviewers screened 814-studies identified through database searches and citation tracking. Data were extracted from 19-studies that met the inclusion criteria, and a risk of bias analysis undertaken. Data were synthesised narratively, with a focus on methodological issues idiosyncratic to FMMs. Motivated by a desire to account for neighbourhood heterogeneity, studies sought to identify meaningful neighbourhood-level typologies that explained the distributional nature of health outcomes. Neighbourhood-centred applications of FMMs were promising but there remains scope for advancement. Research-based recommendations are outlined to strengthen prospective neighbourhood-centred studies applying FMMs.
系统评价遵循 PRISMA 指南进行，以研究邻里环境与健康的关系中有限混合模型（FMM）的应用。两位审查员筛选了通过数据库搜索和引文追踪确定的 814 项研究。从符合纳入标准的 19 项研究中提取数据，并进行偏倚风险分析。数据以叙述方式进行综合，重点是 FMM 特有的方法学问题。由于希望解释健康结果的分布性质，因此有研究试图确定有意义的邻里层面的分类，以说明邻里环境的异质性。基于 FMM 的以邻里为中心的应用具有前景，但仍有改进的空间。概述了基于研究的建议，以加强应用 FMM 的前瞻性以邻里为中心的研究。
