Literature DB >> 24251659

Clustering of adolescent health concerns: a latent class analysis of school students in New Zealand.

Hannah Noel1, Simon Denny1, Bridget Farrant1, Fiona Rossen2, Tasileta Teevale3, Terryann Clark4, Terry Fleming1, Pat Bullen5, Janie Sheridan6, Sarah Fortune3.   

Abstract

AIMS: The aims of this study are to identify clinically meaningful groups of adolescents based on their engagement in high levels of risk behaviours or severe emotional health concerns and to describe the demographic characteristics of these groups in two populations of school students in New Zealand.
METHODS: A nationally representative sample of secondary school students was surveyed in 2007; alternative education (AE) students in Auckland and Northland were surveyed in 2009. A total of 9107 secondary school students and 335 AE students completed a youth health questionnaire using Internet tablets. Latent class analysis (LCA) was used to identify groups of students on the basis of distinct profiles of their risk behaviours and mental health concerns.
RESULTS: The majority (80%) of students in secondary schools are 'healthy' and report few health concerns, 16% are considered 'risky' or 'distressed', and 4% report 'multiple' risk behaviour profiles or emotional health concerns. In AE, only 21% of students were considered 'healthy' with most featuring in the 'risky' or 'multiple' groups. Females were more likely to be 'distressed', whereas males were more likely to feature in the 'risky' or 'multiple' groups.
CONCLUSIONS: Clinically-concerning health risk behaviours and emotional health concerns 'cluster' in up to 20% of students in secondary schools and up to 79% of students in AE. Gender, ethnic and socio-economic disparities are also observed. This highlights the importance of comprehensive psychosocial assessment and appropriate service provision, particularly for at-risk groups.
© 2013 The Authors. Journal of Paediatrics and Child Health © 2013 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

Entities:  

Keywords:  adolescent behaviour; adolescent health service; cluster analysis; mental health; risk-taking; school

Mesh:

Year:  2013        PMID: 24251659     DOI: 10.1111/jpc.12397

Source DB:  PubMed          Journal:  J Paediatr Child Health        ISSN: 1034-4810            Impact factor:   1.954


  9 in total

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2.  Clustering of chronic disease risks among people accessing community mental health services.

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3.  Effect of multiple risk behaviours in adolescence on educational attainment at age 16 years: a UK birth cohort study.

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4.  Exploring the relationship between health concerns and high-risk behaviours in Medical Sciences' students.

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5.  Clustering of health-related behaviours within children aged 11-16: a systematic review.

Authors:  Victoria Whitaker; Melissa Oldham; Jennifer Boyd; Hannah Fairbrother; Penny Curtis; Petra Meier; John Holmes
Journal:  BMC Public Health       Date:  2021-01-14       Impact factor: 3.295

6.  Young adult cancer risk behaviours originate in adolescence: a longitudinal analysis using ALSPAC, a UK birth cohort study.

Authors:  Caroline Wright; Jon Heron; Ruth Kipping; Matthew Hickman; Rona Campbell; Richard M Martin
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7.  Unhealthy Gambling Amongst New Zealand Secondary School Students: An Exploration of Risk and Protective Factors.

Authors:  Fiona V Rossen; Terryann Clark; Simon J Denny; Theresa M Fleming; Roshini Peiris-John; Elizabeth Robinson; Mathijs F G Lucassen
Journal:  Int J Ment Health Addict       Date:  2015-06-30       Impact factor: 3.836

8.  Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: a latent class analysis.

Authors:  Sawitri Assanangkornchai; Jing Li; Edward McNeil; Darika Saingam
Journal:  BMC Public Health       Date:  2018-11-20       Impact factor: 3.295

9.  Adolescent multiple risk behaviours cluster by number of risks rather than distinct risk profiles in the ALSPAC cohort.

Authors:  Caroline Wright; Jon Heron; Rona Campbell; Matthew Hickman; Ruth R Kipping
Journal:  BMC Public Health       Date:  2020-03-04       Impact factor: 3.295

  9 in total

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