A systematic review employing the GeoFERN framework to examine methods, reporting quality and associations between the retail food environment and obesity.


Journal

Health & place
ISSN: 1873-2054
Titre abrégé: Health Place
Pays: England
ID NLM: 9510067

Informations de publication

Date de publication:
05 2019
Historique:
received: 08 10 2018
revised: 24 01 2019
accepted: 26 02 2019
pubmed: 7 5 2019
medline: 15 9 2020
entrez: 7 5 2019
Statut: ppublish

Résumé

This systematic review quantifies methods used to measure the 'retail food environment' (RFE), appraises the quality of methodological reporting, and examines associations with obesity, accounting for differences in methods. Only spatial measures of the RFE, such as food outlet proximity were included. Across the 113 included studies, methods for measuring the RFE were extremely diverse, yet reporting of methods was poor (average reporting quality score: 58.6%). Null associations dominated across all measurement methods, comprising 76.0% of 1937 associations in total. Outcomes varied across measurement methods (e.g. narrow definitions of 'supermarket': 20.7% negative associations vs 1.7% positive; broad definitions of 'supermarket': 9.0% negative associations vs 10.4% positive). Researchers should report methods more clearly, and should articulate findings in the context of the measurement methods employed.

Identifiants

pubmed: 31060018
pii: S1353-8292(18)31017-7
doi: 10.1016/j.healthplace.2019.02.007
pii:
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Pagination

186-199

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Emma Wilkins (E)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK. Electronic address: e.wilkins@leedsbeckett.ac.

Duncan Radley (D)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

Michelle Morris (M)

Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK.

Matthew Hobbs (M)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Canterbury, New Zealand.

Alex Christensen (A)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

Windi Lameck Marwa (WL)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

Adele Morrin (A)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

Claire Griffiths (C)

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

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Classifications MeSH