Journal article
Finite mixture models in neighbourhoods-to-health research: A systematic review
Health & place, v 59, 102140
Sep 2019
PMID: 31374380
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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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Details
- Title
- Finite mixture models in neighbourhoods-to-health research: A systematic review
- Creators
- Peter Lekkas - Australian Centre for Precision Health, Division of Health Sciences, University of South Australia, AustraliaIvana Stankov - Drexel UniversityMark Daniel - University of South AustraliaCatherine Paquet - University of South Australia
- Publication Details
- Health & place, v 59, 102140
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative
- Web of Science ID
- WOS:000500932500010
- Scopus ID
- 2-s2.0-85069805949
- Other Identifier
- 991019168429704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health