Evidence map›Paper›PMID 27473458›Full record

SynthesisBMC public health2016

A systematic review on the clustering and co-occurrence of multiple risk behaviours.

Nick Meader, Kristelle King, Thirimon Moe-Byrne, Kath Wright, Hilary Graham, Mark Petticrew, Chris Power, Martin White, Amanda J Sowden

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
306citing papers in PubMed, 8 pooled it
–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

306 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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246 more citing papers are in PubMed but not listed here.

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

9 authors.

Nick MeaderCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Kristelle KingCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Thirimon Moe-ByrneCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Kath WrightCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK.
Hilary GrahamDepartment of Health Sciences, University of York, York, UK.
Mark PetticrewDepartment of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, UK.
Chris PowerPopulation, Policy and Practice, UCL Institute of Child Health, London, UK.
Martin WhiteUKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Amanda J SowdenCentre for Reviews and Dissemination, University of York, York, YO10 5DD, UK. amanda.sowden@york.ac.uk.

Funding

Department of Health [UK]Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

backgroundRisk behaviours, such as smoking and physical inactivity account for up to two-thirds of all cardiovascular deaths, and are associated with substantial increased mortality in many conditions including cancer and diabetes. As risk behaviours are thought to co-occur in individuals we conducted a systematic review of studies addressing clustering or co-occurrence of risk behaviours and their predictors. As the main aim of the review was to inform public health policy in England we limited inclusion to studies conducted in the UK.

methodsKey databases were searched from 1990 to 2016. We included UK based cross-sectional and longitudinal studies that investigated risk behaviours such as smoking, physical inactivity, unhealthy diet. High heterogeneity precluded meta-analyses.

resultsThirty-seven studies were included in the review (32 cross-sectional and five longitudinal). Most studies investigated unhealthy diet, physical inactivity, alcohol misuse, and smoking. In general adult populations, there was relatively strong evidence of clustering between alcohol misuse and smoking; and unhealthy diet and smoking. For young adults, there was evidence of clustering between sexual risk behaviour and smoking, sexual risk behaviour and illicit drug use, and sexual risk behaviour and alcohol misuse. The strongest associations with co-occurrence and clustering of multiple risk behaviours were occupation (up to 4-fold increased odds in lower SES groups) and education (up to 5-fold increased odds in those with no qualifications).

conclusionsAmong general adult populations, alcohol misuse and smoking was the most commonly identified risk behaviour cluster. Among young adults, there was consistent evidence of clustering found between sexual risk behaviour and substance misuse. Socio-economic status was the strongest predictor of engaging in multiple risk behaviours. This suggests the potential for interventions targeting multiple risk behaviours either sequentially or concurrently particularly where there is evidence of clustering. In addition, there is potential for intervening at the social or environmental level due to the strong association with socio-economic status.

Indexed as

Health BehaviorPublic HealthRisk-TakingAdolescentAdultAge FactorsCluster AnalysisCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsUnited KingdomYoung AdultClusteringCo-occurrenceMultiple risk behavioursSystematic review

Identifiers

PMID27473458
PMCPMC4966774

What OpenQuestion holds

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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.