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基于学龄儿童健康行为数据库、人工智能辅助的范围综述和叙述性综合分析,家庭相关变量对青少年健康的影响

Family Related Variables' Influences on Adolescents' Health Based on Health Behaviour in School-Aged Children Database, an AI-Assisted Scoping Review, and Narrative Synthesis.

作者信息

Huang Yi, Procházková Michaela, Lu Jinjin, Riad Abanoub, Macek Petr

机构信息

Institute for Research of Children, Youth and Family, Faculty of Social Studies, Masaryk University, Brno, Czechia.

Department of Psychology, Faculty of Social Studies, Masaryk University, Brno, Czechia.

出版信息

Front Psychol. 2022 Aug 10;13:871795. doi: 10.3389/fpsyg.2022.871795. eCollection 2022.

DOI:10.3389/fpsyg.2022.871795
PMID:36033089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9400839/
Abstract

OBJECTS

Health Behaviours in School-aged Children (HBSC) is an international survey programme aiming to investigate adolescents' health behaviours, subjective perception of health status, wellbeing, and the related contextual information. Our scoping review aimed to synthesise the evidence from HBSC about the relationship between family environmental contributors and adolescents' health-related outcomes.

METHODS

We searched previous studies from six electronic databases. Two researchers identified the qualified publications independently by abstract and full-text screening with the assistance of an NLP-based AI instrument, ASReview. Publications were included if they were based on HBSC data and investigated the effects of family environment on adolescents' health outcomes. Researches addressed family-related factors as mediators or moderators were also included.

RESULTS

A total of 241 articles were included. Family environmental contributors could be mapped into six categories: (1) Demographic backgrounds ( = 177); (2) General family's psycho-socio functions ( = 44); (3) Parenting behaviours ( = 100); (4) Parental health behaviours ( = 7); (5) Family activities ( = 24); and (6) Siblings ( = 7). Except for 75 papers that assessed family variables as moderators ( = 70) and mediators ( = 7), the others suggested family environment was an independent variable. Only five studies employed the data-driven approach.

CONCLUSION

Our results suggest most research studies focussed on the influences of family demographic backgrounds on adolescents' health. The researches related to parental health behaviours and siblings are most inadequate. Besides, we recommend further research studies to focus on the mediator/moderator roles of the family, for exploring the deep mechanism of the family's impacts. Also, it would be valuable to consider data-driven analysis more in the future, as HBSC has mass variables and data.

摘要

目标

学龄儿童健康行为(HBSC)是一项国际调查项目,旨在调查青少年的健康行为、对健康状况的主观认知、幸福感及相关背景信息。我们的范围综述旨在综合HBSC中关于家庭环境因素与青少年健康相关结果之间关系的证据。

方法

我们检索了六个电子数据库中的既往研究。两名研究人员在基于自然语言处理的人工智能工具ASReview的协助下,通过摘要和全文筛选独立确定合格的出版物。如果出版物基于HBSC数据并研究了家庭环境对青少年健康结果的影响,则将其纳入。涉及将家庭相关因素作为中介或调节因素的研究也包括在内。

结果

共纳入241篇文章。家庭环境因素可分为六类:(1)人口统计学背景(n = 177);(2)家庭一般心理社会功能(n = 44);(3)养育行为(n = 100);(4)父母健康行为(n = 7);(5)家庭活动(n = 24);(6)兄弟姐妹(n = 7)。除75篇将家庭变量评估为调节因素(n = 70)和中介因素(n = 7)的论文外,其他论文表明家庭环境是一个自变量。只有五项研究采用了数据驱动的方法。

结论

我们的结果表明,大多数研究集中在家庭人口统计学背景对青少年健康的影响上。与父母健康行为和兄弟姐妹相关的研究最为不足。此外,我们建议进一步的研究关注家庭的中介/调节作用,以探索家庭影响的深层机制。另外,鉴于HBSC有大量变量和数据,未来更多地考虑数据驱动分析将是有价值的。

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