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Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: A total of 241 articles were included. Family environmental contributors could be mapped into six categories: (1) Demographic backgrounds (N = 177); (2) General family\'s psycho-socio functions (N = 44); (3) Parenting behaviours (N = 100); (4) Parental health behaviours (N = 7); (5) Family activities (N = 24); and (6) Siblings (N = 7). Except for 75 papers that assessed family variables as moderators (N = 70) and mediators (N = 7), the others suggested family environment was an independent variable. Only five studies employed the data-driven approach.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: A total of 241 articles were included. Family environmental contributors could be mapped into six categories: (1) Demographic backgrounds (N = 177); (2) General family\'s psycho-socio functions (N = 44); (3) Parenting behaviours (N = 100); (4) Parental health behaviours (N = 7); (5) Family activities (N = 24); and (6) Siblings (N = 7). Except for 75 papers that assessed family variables as moderators (N = 70) and mediators (N = 7), the others suggested family environment was an independent variable. Only five studies employed the data-driven approach.
UNASSIGNED: 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：
UNASSIGNED：学龄儿童健康行为（HBSC）是一项国际调查计划，旨在调查青少年的健康行为，对健康状况的主观感知，幸福,和相关的上下文信息。我们的范围审查旨在综合HBSC关于家庭环境贡献者和青少年健康相关结果之间关系的证据。
UNASSIGNED：我们从六个电子数据库中检索了以前的研究。两名研究人员在基于NLP的AI工具的帮助下，通过摘要和全文筛选独立确定了合格的出版物。ASReview。如果出版物基于HBSC数据，并调查家庭环境对青少年健康结果的影响，则将其包括在内。研究涉及家庭相关因素，因为中介或主持人也包括在内。
UNASSIGNED：共纳入241篇文章。家庭环境因素可以分为六类：（1）人口背景（N=177）；（2）一般家庭的心理社会功能（N=44）；（3）育儿行为（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）。除了75篇论文将家庭变量评估为主持人(N=70)和中介(N=7)，其他人认为家庭环境是一个自变量。只有5项研究采用了数据驱动的方法。
UNASSIGNED：我们的研究结果表明，大多数研究集中在家庭人口统计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是最不充分的。此外,我们建议进行进一步的研究，以关注家庭的调解/主持人角色，探索家庭影响的深层机制。此外，将来更多考虑数据驱动分析将是有价值的，因为HBSC有大量变量和数据。
UNASSIGNED：我们从六个电子数据库中检索了以前的研究。两名研究人员在基于NLP的AI工具的帮助下，通过摘要和全文筛选独立确定了合格的出版物。ASReview。如果出版物基于HBSC数据，并调查家庭环境对青少年健康结果的影响，则将其包括在内。研究涉及家庭相关因素，因为中介或主持人也包括在内。
UNASSIGNED：共纳入241篇文章。家庭环境因素可以分为六类：（1）人口背景（N=177）；（2）一般家庭的心理社会功能（N=44）；（3）育儿行为（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）。除了75篇论文将家庭变量评估为主持人(N=70)和中介(N=7)，其他人认为家庭环境是一个自变量。只有5项研究采用了数据驱动的方法。
UNASSIGNED：我们的研究结果表明，大多数研究集中在家庭人口统计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是最不充分的。此外,我们建议进行进一步的研究，以关注家庭的调解/主持人角色，探索家庭影响的深层机制。此外，将来更多考虑数据驱动分析将是有价值的，因为HBSC有大量变量和数据。
