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Finite mixture models in neighbourhoods-to-health research: A systematic review
Journal article   Peer reviewed

Finite mixture models in neighbourhoods-to-health research: A systematic review

Peter Lekkas, Ivana Stankov, Mark Daniel and Catherine Paquet
Health & place, v 59, 102140
Sep 2019
PMID: 31374380
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Ecological Finite mixture modeling Latent class analysis Latent profile analysis Neigborhood effects Systematic review
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. •Neighborhoods reflect multidimensional traits, and are heterogeneous in nature.•Finite mixture models (FMMs) capture neighbourhood dimensionality and heterogeneity.•This review systematically surveys n19 neighbourhood-to-health studies applying FMMs.•Neighbourhood-centred applications of FMMs show merit but scope for advancement.•Recommendations are outlined to strengthen neighbourhood-centred FMMs.

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10 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#10 Reduced Inequalities
#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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