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Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences

PURPOSE: Adolescents exposed to adverse childhood experiences (ACEs) are at increased risk for health-compromising behaviors. However, few studies have investigated how ACEs correlate with patterns of health risk behaviors (HRBs) during adolescence, a crucial developmental period. The aim was to ext...

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Autores principales: Xu, Huiqiong, Zhang, Xinyu, Wang, Jiaojiao, Xie, Yang, Zhang, Yi, Xu, Shaojun, Wan, Yuhui, Tao, Fangbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940075/
https://www.ncbi.nlm.nih.gov/pubmed/36803389
http://dx.doi.org/10.1186/s13034-023-00575-1
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author Xu, Huiqiong
Zhang, Xinyu
Wang, Jiaojiao
Xie, Yang
Zhang, Yi
Xu, Shaojun
Wan, Yuhui
Tao, Fangbiao
author_facet Xu, Huiqiong
Zhang, Xinyu
Wang, Jiaojiao
Xie, Yang
Zhang, Yi
Xu, Shaojun
Wan, Yuhui
Tao, Fangbiao
author_sort Xu, Huiqiong
collection PubMed
description PURPOSE: Adolescents exposed to adverse childhood experiences (ACEs) are at increased risk for health-compromising behaviors. However, few studies have investigated how ACEs correlate with patterns of health risk behaviors (HRBs) during adolescence, a crucial developmental period. The aim was to extend the current knowledge about the relationship between ACEs and HRB patterns among adolescents, and to explore gender differences. METHODS: A multi-centered population-based survey was conducted in 24 middle schools in three provinces across China between 2020 and 2021. A total of 16,853 adolescents effectively completed anonymous questionnaires covering exposure to eight ACE categories and 11 HRBs. Clusters were identified using latent class analysis. Logistic regression models were utilized to test the association between them. RESULTS: There were four classes of HRB patterns: “Low all” (58.35%), “Unhealthy lifestyle” (18.23%), “Self-harm” (18.42%), and “High all” (5.0%). There were significant differences between HRB patterns in terms of the different numbers and types of ACEs in three logistic regression models. Specifically, compared to “Low all,” different types of ACEs were positively associated with the three other HRB patterns, and there were significant trends toward increase in the three latent classes of HRBs with higher ACEs. In general, females with ACEs had a higher risk of “High all” except sexual abuse than males. CONCLUSION: Our study comprehensively considers the association between ACEs and aggregation categories of HRBs. The results support efforts to improve clinical healthcare, and future work may explore protective factors based on individual, family, and peer education to mitigate the negative trajectory of ACEs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13034-023-00575-1.
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spelling pubmed-99400752023-02-21 Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences Xu, Huiqiong Zhang, Xinyu Wang, Jiaojiao Xie, Yang Zhang, Yi Xu, Shaojun Wan, Yuhui Tao, Fangbiao Child Adolesc Psychiatry Ment Health Research PURPOSE: Adolescents exposed to adverse childhood experiences (ACEs) are at increased risk for health-compromising behaviors. However, few studies have investigated how ACEs correlate with patterns of health risk behaviors (HRBs) during adolescence, a crucial developmental period. The aim was to extend the current knowledge about the relationship between ACEs and HRB patterns among adolescents, and to explore gender differences. METHODS: A multi-centered population-based survey was conducted in 24 middle schools in three provinces across China between 2020 and 2021. A total of 16,853 adolescents effectively completed anonymous questionnaires covering exposure to eight ACE categories and 11 HRBs. Clusters were identified using latent class analysis. Logistic regression models were utilized to test the association between them. RESULTS: There were four classes of HRB patterns: “Low all” (58.35%), “Unhealthy lifestyle” (18.23%), “Self-harm” (18.42%), and “High all” (5.0%). There were significant differences between HRB patterns in terms of the different numbers and types of ACEs in three logistic regression models. Specifically, compared to “Low all,” different types of ACEs were positively associated with the three other HRB patterns, and there were significant trends toward increase in the three latent classes of HRBs with higher ACEs. In general, females with ACEs had a higher risk of “High all” except sexual abuse than males. CONCLUSION: Our study comprehensively considers the association between ACEs and aggregation categories of HRBs. The results support efforts to improve clinical healthcare, and future work may explore protective factors based on individual, family, and peer education to mitigate the negative trajectory of ACEs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13034-023-00575-1. BioMed Central 2023-02-20 /pmc/articles/PMC9940075/ /pubmed/36803389 http://dx.doi.org/10.1186/s13034-023-00575-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Xu, Huiqiong
Zhang, Xinyu
Wang, Jiaojiao
Xie, Yang
Zhang, Yi
Xu, Shaojun
Wan, Yuhui
Tao, Fangbiao
Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title_full Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title_fullStr Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title_full_unstemmed Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title_short Exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in Chinese adolescents: focus on gender differences
title_sort exploring associations of adverse childhood experiences with patterns of 11 health risk behaviors in chinese adolescents: focus on gender differences
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940075/
https://www.ncbi.nlm.nih.gov/pubmed/36803389
http://dx.doi.org/10.1186/s13034-023-00575-1
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