More behavioral recommendations produce more change: A meta-analysis of efficacy of multibehavior recommendations to reduce nonmedical substance use.
More behavioral recommendations produce more change: A meta-analysis of efficacy of multibehavior recommendations to reduce nonmedical substance use.
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DOI：
10.1037/adb0000586
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Albarracín D
中科院分区：
文献类型：
--
作者：
Dai W;Palmer R;Sunderrajan A;Durantini M;Sánchez F;Glasman LR;Chen FX;Albarracín D
在过去的几十年里，与药物使用相关的死亡和发病率不断上升，增加了对有希望的计划进行严格审查的必要性。试图改变多种行为的干预措施旨在解决相互关联的问题，如同时使用酒精和药物。本荟萃分析旨在从不同物质使用行为之间的理论关系出发，检验多行为干预措施对遏制非医疗物质使用的有效性。具体而言，我们的综合旨在估计干预有效性的最佳建议数量，并评估不同建议组合对干预有效性的影响。一个综合的多行为干预解决非医疗物质的使用进行测量之间的行为变化的预测试和后续行动。然后将这些变化与不同数量的建议进行比较。纳入了69份报告和233个效应量（条件k = 155，n = 28，295）。目标行为的数量与干预效果之间存在线性正相关关系，其中吸毒者的相关性强于饮酒者。此外，关于药物使用的建议在与针对其他行为的建议配对时效果更好，而关于酒精使用的建议则更独立。最后，由专家提供的多行为干预特别有效。总体而言，我们的综合表明，针对多种物质有利于改变药物使用结果，但对酒精使用结果的影响较小。因此，在目前物质使用流行的情况下，创新的多行为计划似乎有希望，特别是在打击非医疗药物使用方面。
Death and morbidity associated with substance use have risen continuously over the last few decades, increasing the need for rigorous examination of promising programs. Interventions attempting to change multiple behaviors have been designed to address interconnected problems such as use of both alcohol and drugs. This meta-analysis aimed to examine the efficacy of multi-behavior interventions to curb non-medical substance use in relation to the theoretical relation among different substance use behaviors. Specifically, our synthesis aimed to estimate the optimal number of recommendations for intervention efficacy and evaluate the impact of different combinations of recommendations on intervention efficacy. A synthesis of multi-behavior interventions addressing non-medical substance use was conducted to measure behavioral changes between the pretest and the follow-up. These changes were then compared across different numbers of recommendations. Sixty-nine reports and 233 effect sizes (k of conditions = 155, n = 28,295) were included. A positive linear relation was found between the number of targeted behaviors and intervention efficacy, which was stronger for drug use than alcohol use. Furthermore, recommendations on drug use worked better when paired with recommendations targeting other behaviors, whereas recommendations on alcohol use worked more independently. Lastly, multi-behavior interventions were especially efficacious when delivered by experts. Overall, our synthesis indicated that targeting multiple substances is beneficial for changing drug use outcomes, but less so for alcohol use outcomes. Therefore, in the current substance use epidemic, innovative multi-behavior programs appear to hold promise, especially to combat non-medical drug use.
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