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

Overview of attention for article published in BMC Cancer, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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1 policy source
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11 X users

Citations

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14 Dimensions

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84 Mendeley
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Title
Cancer-related health behaviours of young people not in education, employment or training (‘NEET’): a cross-sectional study
Published in
BMC Cancer, March 2017
DOI 10.1186/s12885-017-3157-0
Pubmed ID
Authors

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

Abstract

Links 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. Data 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. Data 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. NEETs 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.

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X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 12 14%
Student > Bachelor 9 11%
Researcher 6 7%
Lecturer 4 5%
Other 12 14%
Unknown 27 32%
Readers by discipline Count As %
Psychology 13 15%
Sports and Recreations 9 11%
Social Sciences 9 11%
Nursing and Health Professions 5 6%
Medicine and Dentistry 5 6%
Other 11 13%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 February 2023.
All research outputs
#3,473,110
of 24,375,780 outputs
Outputs from BMC Cancer
#816
of 8,657 outputs
Outputs of similar age
#62,433
of 314,771 outputs
Outputs of similar age from BMC Cancer
#18
of 123 outputs
Altmetric has tracked 24,375,780 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,657 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.