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Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study

Overview of attention for article published in BMC Public Health, April 2015
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Title
Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
Published in
BMC Public Health, April 2015
DOI 10.1186/s12889-015-1692-7
Pubmed ID
Authors

Rienke Bannink, Suzanne Broeren, Jurriën Heydelberg, Els van’t Klooster, Hein Raat

Abstract

Depressive symptoms and risk behaviours often do not occur in isolation among adolescents and young adults. In order to improve intervention programmes, more research is needed to elucidate the clustering of risk behaviours, the association with depressive symptoms, and demographic variables. Therefore, this study examined the clustering of risk behaviours, the association with depressive symptoms, and demographic variables among adolescents and young adults in vocational education. Furthermore, the prevalence of depressive symptoms and risk behaviours was examined. This study included 584 students (mean age 18.3 years) attending vocational education in the Netherlands. Depressive symptoms and risk behaviours (binge drinking, cannabis use, smoking, delinquency and incurring debts) were assessed with self-report questionnaires. Truancy was monitored via the school registration system. Principal Components Analysis (PCA) was conducted to assess the factor structure of the risk behaviours (i.e. clustering). Linear regression analyses with a bootstrapping method were performed to assess the associations. Binge drinking was reported by 50.5% and cannabis use by 14.2% of the students (both in the past 4 weeks), whereas 37.7% reported currently being a smoker. More than 10% reported having been questioned at a police station in the past year. Furthermore, 82.2% had been truanting in the first two months of education, 21.0% reported having debts and 29.2% reported clinically-relevant depressive symptoms. The PCA indicated two clusters. The 'substance use' cluster consisted of the risk behaviours: binge drinking, cannabis use and smoking. The 'problem behaviours' cluster consisted of the risk behaviours: delinquency, truancy and incurring debts. Both clusters were associated with depressive symptoms. Various demographic variables were associated with both clusters. Risk behaviours formed two clusters, both of which were associated with depressive symptoms. These findings underscore the importance of screening adolescents and young adults at lower educational levels for multiple risk behaviours and depressive symptoms and of focusing on multiple risk behaviours in interventions simultaneously.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Malaysia 1 <1%
United States 1 <1%
Unknown 107 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 15%
Researcher 15 14%
Student > Master 15 14%
Student > Ph. D. Student 10 9%
Other 6 5%
Other 14 13%
Unknown 33 30%
Readers by discipline Count As %
Medicine and Dentistry 20 18%
Psychology 19 17%
Social Sciences 13 12%
Nursing and Health Professions 7 6%
Agricultural and Biological Sciences 4 4%
Other 14 13%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 April 2015.
All research outputs
#14,807,732
of 22,799,071 outputs
Outputs from BMC Public Health
#10,895
of 14,855 outputs
Outputs of similar age
#148,628
of 265,112 outputs
Outputs of similar age from BMC Public Health
#184
of 249 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 265,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.