早期物质使用的多重风险和保护因素领域的纵向测试:对初级预防政策和实践的影响。

Substance use & addiction journal Pub Date : 2026-04-01 Epub Date: 2025-11-29 DOI:10.1177/29767342251392695
Alfgeir L Kristjansson, Christa L Lilly, Michael J Mann, Megan L Smith, Steven M Kogan
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引用次数: 0

摘要

背景:在同一前瞻性研究中,初级预防研究很少包括青少年酒精、烟草和其他药物(ATOD)使用同时发生的多重风险和保护因素域的措施。本研究的目的是测试这五个领域的风险和保护因素与早期青少年ATOD发病之间的同时纵向关系。方法:分析基于青年登山者健康研究队列的第1至第6波,该队列在2020年至2023年的3年期间每6个月在美国西弗吉尼亚州的20所不同学校进行。在本分析中,来自所有6个波的2916组学生数据被纳入。采用高性能线性混合模型结合逻辑回归,对6个时间点的所有领域暴露变量使用最佳线性无偏预测器进行纵向分析。结果:父母/照顾者、同伴、学校、休闲时间和社区5个暴露域内的风险和保护因素与早期青少年物质使用发生的几率同时相关。结论:我们的研究结果强调了在基于系统的方法指导下进行基础研究和预防研究的必要性,而不是专注于一组有限的病因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Longitudinal Test of Multiple Risk and Protective Factor Domains for Early Substance Use Onset: Implications for Primary Prevention Policy and Practice.

Background: Primary prevention research rarely include measures for multiple risk and protective factor domains for youth alcohol, tobacco, and other drug (ATOD) use onset simultaneously within the same prospective study. The aim of this study is to test the simultaneous longitudinal relationships between risk and protective factors within these 5 domains and ATOD onset among early adolescents.

Methods: Analyses are based on waves 1 to 6 from the Young Mountaineer Health Study cohort that was conducted every ~6 months over a 3-year period between 2020 and 2023 in 20 diverse schools in West Virginia in the United States. For the present analysis, 2916 sets of student data were included from all 6 waves. Longitudinal analyses were conducted using best linear unbiased predictors for all domain exposure variables across the 6 time points using high-performance linear mixed modeling in conjunction with logistic regression.

Results: Risk and protective factors within the 5 exposure domains of parents/caregivers, peers, school, leisure time, and community were simultaneously related to odds of substance use onset among early adolescents.

Conclusions: Our findings underscore the need for both basic and prevention research guided by systems-based approaches versus a focus on a limited set of etiological factors.

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