Schettini Greta, Johansson Magnus, Andersson Sam, Romero Danilo, Berman Anne H, Lindner Philip
Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Centre for Dependency Disorders, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Front Psychiatry. 2024 Dec 20;15:1486278. doi: 10.3389/fpsyt.2024.1486278. eCollection 2024.
Excessive alcohol use is a major public health concern, for which internet interventions have shown to be effective. Group-average effects may however mask substantial inter-individual variations in changes; identifying predictors of this variation remains an important research question. Biological sex is associated with pharmacokinetic differences in alcohol tolerance, which is reflected in many national guidelines recommending sex-specific thresholds for excessive drinking. Whether effects of internet interventions are moderated by sex, and whether any moderation is due to confounders, remains largely unexplored.
To examine sex-differences in outcomes (both response and remission) after an internet intervention for alcohol use disorder, and to identify any confounders.
The current study is a secondary analysis of a randomized controlled trial. After identifying factors in which men and women differed at baseline, mixed effects models were re-run using a subsampling matching strategy.
Men and women differed in baseline sum of drinks and self-rated anxiety. Sex was found to moderate (absolute) response but not remission, neither when using sex-specific or common thresholds for risky drinking. However, after controlling for baseline drinking through subsampling, the difference in response was no longer significant.
Our findings suggest that the apparent sex-difference in treatment response was confounded by intercept-slope correlation - i.e. since men on average drank more at baseline, this offered larger room for decreasing. When conducting studies on internet interventions for addictive disorders, it is crucial to consider which outcomes to use, and how these are operationalized.
过度饮酒是一个主要的公共卫生问题,网络干预已被证明对其有效。然而,群体平均效应可能掩盖个体变化的显著差异;确定这种差异的预测因素仍然是一个重要的研究问题。生物性别与酒精耐受性的药代动力学差异有关,这在许多国家指南中都有体现,这些指南建议针对过度饮酒设定性别特异性阈值。网络干预的效果是否因性别而有所不同,以及这种差异是否归因于混杂因素,在很大程度上仍未得到探索。
研究针对酒精使用障碍的网络干预后,结果(包括反应和缓解)方面的性别差异,并确定任何混杂因素。
本研究是一项随机对照试验的二次分析。在确定男性和女性在基线时存在差异的因素后,使用子样本匹配策略重新运行混合效应模型。
男性和女性在基线饮酒总量和自评焦虑方面存在差异。发现性别会调节(绝对)反应,但不会调节缓解情况,无论是使用针对危险饮酒的性别特异性阈值还是通用阈值时都是如此。然而,通过子样本控制基线饮酒量后,反应差异不再显著。
我们的研究结果表明,治疗反应中明显的性别差异被截距 - 斜率相关性所混淆,即由于男性在基线时平均饮酒量更多,这为减少饮酒量提供了更大的空间。在进行针对成瘾性疾病的网络干预研究时,考虑使用哪些结果以及如何将其操作化至关重要。