Evidence map›Paper›PMID 25997451›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

Neighbourhood socioeconomic disadvantage and fruit and vegetable consumption: a seven countries comparison.

Kylie Ball, Karen E Lamb, Claudia Costa, Nicoleta Cutumisu, Anne Ellaway, Carlijn B M Kamphuis, Graciela Mentz, Jamie Pearce, Paula Santana, Rita Santos and 5 more

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
13.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.

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  19. Mapping Local Variations and the Determinants of Childhood Stunting in Nigeria.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 6 countries.

Kylie BallCentre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Melbourne, VIC, 3125, Australia. kylie.ball@deakin.edu.au.
Karen E LambCentre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Melbourne, VIC, 3125, Australia. karen.lamb@deakin.edu.au.
Claudia CostaCentre of Studies on Geography and Spatial Planning (CEGOT), University of Coimbra, Coimbra, Portugal. claudiampcosta1@gmail.com.
Nicoleta CutumisuThe Research Center of the University of Montreal Hospital Centre (Centre de Recherche du Centre hospitalier de l'Université de Montréal - CRCHUM) & The Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, Canada. nicoleta@ualberta.ca.
Anne EllawayMedical Research Council Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK. anne.ellaway@glasgow.ac.uk.
Carlijn B M KamphuisErasmus University Medical Centre, Rotterdam, Netherlands. c.kamphuis@erasmusmc.nl.
Graciela MentzUniversity of Michigan, Ann Arbor, MI, USA. gmentz@umich.edu.
Jamie PearceCentre for Research on Environment, Society & Health, School of GeoSciences, University of Edinburgh, Edinburgh, UK. jamie.pearce@ed.ac.uk.
Paula SantanaCentre of Studies on Geography and Spatial Planning (CEGOT), University of Coimbra, Coimbra, Portugal. paulasantana.coimbra@gmail.com.
Rita SantosCentre for Health Economics, University of York, York, United Kingdom. rita.santos@york.ac.uk.
Amy J SchulzUniversity of Michigan, Ann Arbor, MI, USA. amy@schulz.com.
John C SpenceUniversity of Alberta, Edmonton, Canada. jc.spence@ualberta.ca.
Lukar E ThorntonCentre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Melbourne, VIC, 3125, Australia. lukar.thornton@deakin.edu.au.
Frank J van LentheErasmus University Medical Centre, Rotterdam, Netherlands. f.vanlenthe@erasmusmc.nl.
Shannon N ZenkUniversity of Illinois, Chicago, IL, USA. szenk@uic.edu.
Deakin University · AUErasmus University Rotterdam · NLUniversity of Coimbra · PTUniversity of Michigan–Ann Arbor · USCentre Hospitalier de l’Université de Montréal · CAGlasgow City Council · GBUniversity of Alberta · CAUniversity of Edinburgh · GBUniversity of Illinois Chicago · USUniversity of York · GB

Funding

SOCIAL AND PHYSICAL ENVIRONMENTS AND HEALTH DISPARITIESR01ES010936 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHULZ, AMY J · 2000 to 2004
$3.2M
Healthy Environments Partnership: Lean &Green in MotownR01ES014234 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHULZ, AMY J · 2005 to 2009
$3.0M
Medical Research Council MC_UU_12017/10Medical Research Council MC_UU_12017/8NIEHS NIH HHS R01 ES010936NIEHS NIH HHS R01 ES014234NIEHS NIH HHS R01ES014234NIEHS NIH HHS R01ES10936
6 · The paper itself

Abstract

backgroundLow fruit and vegetable consumption is a risk factor for poor health. Studies have shown consumption varies across neighbourhoods, with lower intakes in disadvantaged neighbourhoods. However, findings are inconsistent, suggesting that socio-spatial inequities in diet could be context-specific, highlighting a need for international comparisons across contexts. This study examined variations in fruit and vegetable consumption among adults from neighbourhoods of varying socioeconomic status (SES) across seven countries (Australia, Canada, Netherlands, New Zealand, Portugal, Scotland, US).

methodsData from seven existing studies, identified through literature searches and knowledge of co-authors, which collected measures of both neighbourhood-level SES and fruit and vegetable consumption were used. Logistic regression was used to examine associations between neighbourhood-level SES and binary fruit and vegetable consumption separately, adjusting for neighbourhood clustering and age, gender and education. As much as possible, variables were treated in a consistent manner in the analysis for each study to allow the identification of patterns of association within study and to examine differences in the associations across studies.

resultsAdjusted analyses showed evidence of an association between neighbourhood-level SES and fruit consumption in Canada, New Zealand and Scotland, with increased odds of greater fruit intake in higher SES neighbourhoods. In Australia, Canada, New Zealand and Portugal, those residing in higher SES neighbourhoods had increased odds of greater vegetable intake. The other studies showed no evidence of a difference by neighbourhood-level SES.

conclusionsAcknowledging discrepancies across studies in terms of sampling, measures, and definitions of neighbourhoods, this opportunistic study, which treated data in a consistent manner, suggests that associations between diet and neighbourhood-level socioeconomic status vary across countries. Neighbourhood socioeconomic disadvantage may differentially impact on access to resources in which produce is available in different countries. Neighbourhood environments have the potential to influence behaviour and further research is required to examine the context in which these associations arise.

Indexed as

Feeding BehaviorFruitResidence CharacteristicsSocial EnvironmentSocioeconomic FactorsVegetablesAdolescentAdultAgedAttitude to HealthAustraliaCanadaFemaleHumansMaleMiddle Aged

Identifiers

PMID25997451
PMCPMC4456793
OpenAlexW1832861871

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.