Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37199
Appears in Collections:Faculty of Social Sciences Journal Articles
Peer Review Status: Refereed
Title: Clustering of health-related behaviours within children aged 11–16: a systematic review
Author(s): Whitaker, Victoria
Oldham, Melissa
Boyd, Jennifer
Fairbrother, Hannah
Curtis, Penny
Meier, Petra
Holmes, John
Contact Email: jennifer.boyd1@stir.ac.uk
Keywords: Cluster analysis
Health behaviours
Youth
Multiple risk factors
Systematic review
Children
Issue Date: Dec-2021
Date Deposited: 5-Jul-2025
Citation: Whitaker V, Oldham M, Boyd J, Fairbrother H, Curtis P, Meier P & Holmes J (2021) Clustering of health-related behaviours within children aged 11–16: a systematic review. <i>BMC Public Health</i>, 21, Art. No.: 137. https://doi.org/10.1186/s12889-020-10140-6
Abstract: Objective We aimed to systematically review and synthesise evidence on the clustering of a broad range of health-related behaviours amongst 11–16 year olds. Method A literature search was conducted in September 2019. Studies were included if they used cluster analysis, latent class analysis, prevalence odds ratios, principal component analysis or factor analysis, and considered at least three health-related behaviours of interest among 11–16 year olds in high-income countries. Health-related behaviours of interest were substance use (alcohol, cigarettes and other drug use) and other behavioural risk indicators (diet, physical activity, gambling and sexual activity). Results The review identified 41 studies, which reported 198 clusters of health-related behaviours of interest. The behaviours of interest reported within clusters were used to define eight behavioural archetypes. Some included studies only explored substance use, while others considered substance use and/or other health-related behaviours. Consequently, three archetypes were comprised by clusters reporting substance use behaviours alone. The archetypes were: (1) Poly-Substance Users, (2) Single Substance Users, (3) Substance Abstainers, (4) Substance Users with No/Low Behavioural Risk Indicators, (5) Substance Abstainers with Behavioural Risk Indicators, (6) Complex Configurations, (7) Overall Unhealthy and (8) Overall Healthy. Conclusion Studies of youth health behavioural clustering typically find both a ‘healthy’ cluster and an ‘unhealthy’ cluster. Unhealthy clusters are often characterised by poly-substance use. Our approach to synthesising cluster analyses may offer a means of navigating the heterogeneity of method, measures and behaviours of interest in this literature.
DOI Link: 10.1186/s12889-020-10140-6
Rights: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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