Evidence map›Paper›PMID 28253843›Full record

ArticleBMC cancer2017

Cancer-related health behaviours of young people not in education, employment or training ('NEET'): a cross-sectional study.

Catherine H Stewart, Philip Berry, Dunja Przulj, Charlene Treanor

Abstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

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

  1. Pooled it
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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

4 authors.

Catherine H StewartMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Top Floor, 200 Renfield Street, Glasgow, G2 3QB, UK. catherine.stewart@glasgow.ac.uk.
Philip BerryNorthern Institute for Cancer Research, Newcastle University, Framlington Place, Newcastle, NE2 4HH, UK.
Dunja PrzuljHealth & Lifestyles Research Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, 2 Stayner's Road, London, E1 4AH, UK.
Charlene TreanorCentre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Institute of Clinical Sciences B, Royal Victoria Hospital Site, Grosvenor Road, Belfast, BT12 6BJ, UK.

Funding

Cancer Research UK 19682Cancer Research UK 53258/A19682Chief Scientist Office SPHSU13Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/13 &
6 · The paper itself

Abstract

backgroundLinks between participating in unhealthy behaviours, e.g. smoking, and an increased risk of developing some cancers are well established. Unemployed adults are more likely to participate in cancer-related health behaviours than their employed counterparts. However, evidence of whether this is true in young adults not in education, employment or training (NEET) compared to their 'non-NEET' peers is either limited or inconclusive. Using cross-sectional health data from across the UK, this study aims to investigate whether participation in cancer-related health behaviours varies by NEET status.

methodsData for 16-24 year olds were extracted from the 2010-12 Health Surveys for England (HSE) and Scottish Health Surveys (SHeS). Information on economic activity in the last week was used to determine NEET status. Data on whether respondents had been seeking employment within the last four weeks and availability to start within the next two weeks allowed NEETs to be further identified as unemployed (UE) or economically inactive (EI). Logistic regression modelled the effect of being NEET on odds of being a current smoker; heavy drinker; not participating in sport; having eaten less than five portions of fruit or vegetables the day before survey interview and having an unhealthy body mass index (BMI). Analyses were performed before and after exclusion of EI NEETs.

resultsData were extracted for 4272 individuals, of which 715 (17%) were defined as NEET with 371 (52%) and 342 (48%) further classified as UE and EI respectively. Two NEETs could not be further defined as UE or EI due to missing information. Relative to non-NEETs, NEETs were significantly more likely to be current smokers, not participate in sport and have an 'unhealthy' BMI. These results held after adjustment for socio-demographic characteristics both before and after exclusion of EI NEETs. Before exclusion of EI NEETs, NEETs were significantly less likely to be heavy drinkers than non-NEETs. There was no significant difference in likelihood of heavy drinking between NEETs and non-NEETs when excluding EI NEETs.

conclusionsNEETs were generally at an increased risk of participating in cancer-related health behaviours than non-NEETs. As the likelihood of becoming NEET is greater in socioeconomically-disadvantaged groups, interventions to discourage unhealthy behaviours in NEETs may contribute to a reduction in health inequalities.

Indexed as

Health BehaviorLife StyleAdolescentBody Mass IndexCross-Sectional StudiesEmploymentEnglandFemaleHealth SurveysHumansJob ApplicationLogistic ModelsMaleNeoplasmsScotlandSocioeconomic FactorsAlcoholBMICancerExerciseHealth behavioursLifestyleNEETSmokingUnemployedYoung adults

Identifiers

PMID28253843
PMCPMC5333471

What OpenQuestion holds

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LicenceCC BY
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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.