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Clustering of health-related behaviours within children aged 11–16: a systematic review
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, preva...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807795/ https://www.ncbi.nlm.nih.gov/pubmed/33446174 http://dx.doi.org/10.1186/s12889-020-10140-6 |
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author | Whitaker, Victoria Oldham, Melissa Boyd, Jennifer Fairbrother, Hannah Curtis, Penny Meier, Petra Holmes, John |
author_facet | Whitaker, Victoria Oldham, Melissa Boyd, Jennifer Fairbrother, Hannah Curtis, Penny Meier, Petra Holmes, John |
author_sort | Whitaker, Victoria |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10140-6. |
format | Online Article Text |
id | pubmed-7807795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78077952021-01-15 Clustering of health-related behaviours within children aged 11–16: a systematic review Whitaker, Victoria Oldham, Melissa Boyd, Jennifer Fairbrother, Hannah Curtis, Penny Meier, Petra Holmes, John BMC Public Health Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10140-6. BioMed Central 2021-01-14 /pmc/articles/PMC7807795/ /pubmed/33446174 http://dx.doi.org/10.1186/s12889-020-10140-6 Text en © The Author(s) 2021 Open AccessThis 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. |
spellingShingle | Research Article Whitaker, Victoria Oldham, Melissa Boyd, Jennifer Fairbrother, Hannah Curtis, Penny Meier, Petra Holmes, John Clustering of health-related behaviours within children aged 11–16: a systematic review |
title | Clustering of health-related behaviours within children aged 11–16: a systematic review |
title_full | Clustering of health-related behaviours within children aged 11–16: a systematic review |
title_fullStr | Clustering of health-related behaviours within children aged 11–16: a systematic review |
title_full_unstemmed | Clustering of health-related behaviours within children aged 11–16: a systematic review |
title_short | Clustering of health-related behaviours within children aged 11–16: a systematic review |
title_sort | clustering of health-related behaviours within children aged 11–16: a systematic review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807795/ https://www.ncbi.nlm.nih.gov/pubmed/33446174 http://dx.doi.org/10.1186/s12889-020-10140-6 |
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