Evidence map›Paper›PMID 25088377›Full record

ArticleInternational journal of obesity (2005)2015

'Fish out of water': a cross-sectional study on the interaction between social and neighbourhood effects on weight management behaviours.

M A Green, S V Subramanian, M Strong, C L Cooper, A Loban, P Bissell

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Case Reports: Multifaceted Experiences Treating Youth with Severe Obesity.International journal of environmental research and public health · 2019
    Article
  3. Article
  4. Urban Health Research in Africa: Themes and Priority Research Questions.Journal of urban health : bulletin of the New York Academy of Medicine · 2016
    Article
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

6 authors.

M A GreenSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
S V SubramanianSchool of Public Health, Harvard, Boston, MA, USA.
M StrongSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
C L CooperSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
A LobanSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
P BissellSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

Funding

Department of Health YHCLAHRC-2014-1
6 · The paper itself

Abstract

objectiveTo analyse whether an individual's neighbourhood influences the uptake of weight management strategies and whether there is an interaction between individual socio-economic status and neighbourhood deprivation. METHODOLOGY: Data were collected from the Yorkshire Health Study (2010-2012) for 27 806 individuals on the use of the following weight management strategies: 'slimming clubs', 'healthy eating', 'increasing exercise' and 'controlling portion size'. A multi-level logistic regression was fit to analyse the use of these strategies, controlling for age, sex, body mass index, education, neighbourhood deprivation and neighbourhood population turnover (a proxy for neighbourhood social capital). A cross-level interaction term was included for education and neighbourhood deprivation. Lower Super Output Area was used as the geographical scale for the areal unit of analysis.

resultsSignificant neighbourhood effects were observed for use of 'slimming clubs', 'healthy eating' and 'increasing exercise' as weight management strategies, independent of individual- and area-level covariates. A significant interaction between education and neighbourhood deprivation was observed across all strategies, suggesting that as an area becomes more deprived, individuals of the lowest education are more likely not to use any strategy compared with those of the highest education.

conclusionsNeighbourhoods modify/amplify individual disadvantage and social inequalities, with individuals of low education disproportionally affected by deprivation. It is important to include neighbourhood-based explanations in the development of community-based policy interventions to help tackle obesity.

Indexed as

Diet, ReducingExerciseResidence CharacteristicsSocial EnvironmentAdolescentAdultBody Mass IndexCross-Sectional StudiesEducational StatusEnglandFemaleHealth BehaviorHumansMaleMiddle AgedObesity

Identifiers

PMID25088377
PMCPMC4229317

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Registered trials

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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.