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

BACKGROUND: 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 varia...

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Autores principales: Bannink, Rienke, Broeren, Suzanne, Heydelberg, Jurriën, van’t Klooster, Els, Raat, Hein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404651/
https://www.ncbi.nlm.nih.gov/pubmed/25896828
http://dx.doi.org/10.1186/s12889-015-1692-7
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author Bannink, Rienke
Broeren, Suzanne
Heydelberg, Jurriën
van’t Klooster, Els
Raat, Hein
author_facet Bannink, Rienke
Broeren, Suzanne
Heydelberg, Jurriën
van’t Klooster, Els
Raat, Hein
author_sort Bannink, Rienke
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1692-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-44046512015-04-22 Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study Bannink, Rienke Broeren, Suzanne Heydelberg, Jurriën van’t Klooster, Els Raat, Hein BMC Public Health Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1692-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-18 /pmc/articles/PMC4404651/ /pubmed/25896828 http://dx.doi.org/10.1186/s12889-015-1692-7 Text en © Bannink et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bannink, Rienke
Broeren, Suzanne
Heydelberg, Jurriën
van’t Klooster, Els
Raat, Hein
Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title_full Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title_fullStr Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title_full_unstemmed Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title_short Depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
title_sort depressive symptoms and clustering of risk behaviours among adolescents and young adults attending vocational education: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404651/
https://www.ncbi.nlm.nih.gov/pubmed/25896828
http://dx.doi.org/10.1186/s12889-015-1692-7
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