Evidence map›Paper›PMID 25762701›Full record

ArticleJournal of public health (Oxford, England)2016

Clustering of lifestyle risk behaviours among residents of forty deprived neighbourhoods in London: lessons for targeting public health interventions.

P Watts, D Buck, G Netuveli, A Renton

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

P WattsInstitute for Health and Human Development, University of East London, London E15 4LZ, UK.
D BuckThe King's Fund, London W1G OAN, UK.
G NetuveliInstitute for Health and Human Development, University of East London, London E15 4LZ, UK.
A RentonInstitute for Health and Human Development, University of East London, London E15 4LZ, UK.

Funding

Wellcome Trust 090532
6 · The paper itself

Abstract

backgroundClustering of lifestyle risk behaviours is very important in predicting premature mortality. Understanding the extent to which risk behaviours are clustered in deprived communities is vital to most effectively target public health interventions.

methodsWe examined co-occurrence and associations between risk behaviours (smoking, alcohol consumption, poor diet, low physical activity and high sedentary time) reported by adults living in deprived London neighbourhoods. Associations between sociodemographic characteristics and clustered risk behaviours were examined. Latent class analysis was used to identify underlying clustering of behaviours.

resultsOver 90% of respondents reported at least one risk behaviour. Reporting specific risk behaviours predicted reporting of further risk behaviours. Latent class analyses revealed four underlying classes. Membership of a maximal risk behaviour class was more likely for young, white males who were unable to work.

conclusionsCompared with recent national level analysis, there was a weaker relationship between education and clustering of behaviours and a very high prevalence of clustering of risk behaviours in those unable to work. Young, white men who report difficulty managing on income were at high risk of reporting multiple risk behaviours. These groups may be an important target for interventions to reduce premature mortality caused by multiple risk behaviours.

Indexed as

Health BehaviorPovertyRisk-TakingAdolescentAdultAgedAlcohol DrinkingDietExerciseFemaleHealth SurveysHealthy LifestyleHumansLife StyleLogistic ModelsLondonpopulation-based and preventative servicespublic healthsocioeconomic factors

Identifiers

PMID25762701
PMCPMC4894479

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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.