麻萨诸塞州青少年大麻使用的风险和保护因素

Julie K. Johnson, Samantha M. Doonan
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摘要

大麻政策在不断发展,超过一半的美国年轻人现在生活在一个大麻合法化的州。监测风险和保护因素对于确保在后大麻禁止时代以证据为基础的青少年预防至关重要。马萨诸塞州颁布并实施了三种形式的大麻合法化:(1)非刑事化(2008年),(2)医用大麻(2012年),(3)成人使用大麻(2016年)。本研究使用2007-2017年9-12年级青少年危险行为调查(YRBS)数据(N=17,691)。运用逻辑回归模型评估不同大麻政策和风险或保护行为对大麻使用结果的影响:(1)终身使用;(2)超过30天;(3)超过30天的重度使用。大麻政策的颁布与青少年报告终生和过去30天大麻使用行为的更大几率无关。任何成人支持[重度使用]OR=0.43 (95% CI=0.37,0.50), p<。001],评分较高[重度用药OR=0.25 (95% CI=0.21,0.29), p<。异性恋[重度使用]OR=0.42 (95% CI=0.34,0.51), p< 0.001。[001]与所有大麻使用结果的几率较低有关。多种风险因素大致分为:危险性行为、非异性恋取向、携带/暴露武器、绝望和自杀行为、驾驶行为和残疾与大麻使用的可能性较大有关。敏感性分析显示,只有一种危险行为因大麻政策制定而得到缓和。结果表明,预防大麻的努力不应该孤立无为,而以证据为基础的减少危险行为的模式通常可能会产生最大的影响。应该强调高风险青年与可信任的成年人建立和支持关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk and Protective Factors Associated with Cannabis Use in Massachusetts Youth
Cannabis policies are continuously evolving, over half of U.S. youth now live in a state with a form of legalized cannabis. Monitoring risk and protective factors is critical to ensure evidence-based youth prevention in this post cannabis-prohibition era. Massachusetts has enacted and implemented three forms of legalization: (1) Decriminalization (2008), (2) medical cannabis (2012), and (3) adult-use cannabis (2016). This study used state Youth Risk Behavior Survey (YRBS) data of participants in grades 9-12 from 2007-2017 (N=17,691). Logistical regression models were run to assess effects of varying cannabis policy and risk or protective behaviors on cannabis use outcomes: (1) Lifetime use; (2) Past 30-day; and (3) Past 30-day heavy use. The enactment of cannabis policies was not associated with greater odds of youth reporting Lifetime and Past 30-day cannabis use behaviors. Any adult-support [heavy use OR=0.43 (95% CI=0.37,0.50), p<.001], better grades [heavy use OR=0.25 (95% CI=0.21,0.29), p<.001], and being heterosexual [heavy use OR=0.42 (95% CI=0.34,0.51), p<.001] were associated with lower odds of all cannabis use outcomes. Multiple risk factors broadly categorized under: risky sexual behaviors, non-heterosexual orientation, weapon carrying/exposure, hopelessness and suicidality behaviors, driving behaviors, and disability were associated with greater odds of cannabis use. Sensitivity analyses showed only one risk behavior was moderate by cannabis policy enactment. Results suggest that cannabis prevention efforts should not occur in a silo, rather evidence-based models for reducing risky behaviors generally may have the largest impact. Building and supporting relationships with trusted adults for youth at higher risk should be emphasized.
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