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.
| Original language | English |
|---|---|
| Article number | 102140 |
| Pages (from-to) | 1-24 |
| Number of pages | 24 |
| Journal | Health and Place |
| Volume | 59 |
| DOIs | |
| Publication status | Published - Sep 2019 |
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Finite mixture models in neighbourhoods-to-health research : A systematic review. / Lekkas, P.; Stankov, I.; Daniel, Mark; Paquet, Catherine.
In: Health and Place, Vol. 59, 102140, 09.2019, p. 1-24.Research output: Contribution to journal › Literature review
TY - JOUR
T1 - Finite mixture models in neighbourhoods-to-health research
T2 - A systematic review
AU - Lekkas, P.
AU - Stankov, I.
AU - Daniel, Mark
AU - Paquet, Catherine
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - Ecological
KW - Finite mixture modeling
KW - Latent class analysis
KW - Latent profile analysis
KW - Neigborhood effects
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85069805949&partnerID=8YFLogxK
U2 - 10.1016/j.healthplace.2019.05.018
DO - 10.1016/j.healthplace.2019.05.018
M3 - Literature review
VL - 59
SP - 1
EP - 24
JO - Geographia Medica
JF - Geographia Medica
SN - 1353-8292
M1 - 102140
ER -