Høiland Kristoffer, Arnevik Espen Kristian Ajo, Diep Lien My, Mathisen Tove, Nielsen Anette Søgaard, Egeland Jens
Department of Addiction Treatment, Vestfold Hospital Trust, Tonsberg, Norway.
Department of Psychology, University of Oslo, Norway.
BJPsych Open. 2025 Jul 14;11(4):e150. doi: 10.1192/bjo.2025.10047.
Understanding the factors influencing alcohol use disorder (AUD) treatment outcomes is essential. More knowledge about patient characteristics that predict treatment outcomes can help personalise interventions, improve treatment planning and address the needs of specific subgroups. The frequency of treatment attendance may also affect drinking outcomes after treatment. Despite research efforts, uncertainty remains about how patient factors and treatment attendance influence treatment outcomes.
To examine how patient factors and treatment attendance predict high- or low-risk drinking at the end of treatment.
We used data ( = 92) from a multisite observational study of treatment-seeking individuals with AUD attending group treatment. Sociodemographic measures, alcohol and substance use measures, cognitive functioning, psychological distress, personality functioning and quality of life were screened in univariate analyses. Significant variables were entered into a binary logistic regression model.
Individuals with a higher percentage of treatment attendance (odds ratio 0.96 [95% CI 0.93, 0.96]) and with greater responsiblity scores on the Severity Indices of Personality Functioning (odds ratio 0.30 [95% CI 0.14, 0.64]) had a decreased likelihood of high-risk drinking at treatment end. Substance use, psychological distress and cognitive functioning were not associated with drinking levels at the end of treatment.
A higher percentage of treatment attendance has a minor effect on drinking levels. Being more responsible, as reflected in higher scores on the responsibility domain, reduces the likelihood of high-risk drinking at the end of treatment. Clinicians are encouraged to screen and assess personality functioning when planning treatment for individuals with AUD.
了解影响酒精使用障碍(AUD)治疗效果的因素至关重要。更多关于预测治疗效果的患者特征的知识有助于个性化干预、改善治疗计划并满足特定亚组的需求。治疗出席频率也可能影响治疗后的饮酒结果。尽管进行了研究,但患者因素和治疗出席情况如何影响治疗效果仍存在不确定性。
研究患者因素和治疗出席情况如何预测治疗结束时的高风险或低风险饮酒。
我们使用了来自一项多地点观察性研究的数据(n = 92),该研究针对寻求治疗的AUD个体进行团体治疗。在单变量分析中筛选了社会人口统计学指标、酒精和物质使用指标、认知功能、心理困扰、人格功能和生活质量。将显著变量纳入二元逻辑回归模型。
治疗出席率较高的个体(优势比0.96 [95%置信区间0.93, 0.96])以及在人格功能严重程度指数上责任得分较高的个体(优势比0.30 [95%置信区间0.14, 0.64])在治疗结束时高风险饮酒的可能性降低。物质使用、心理困扰和认知功能与治疗结束时的饮酒水平无关。
较高的治疗出席率对饮酒水平有轻微影响。如责任领域得分较高所反映的更有责任感,可降低治疗结束时高风险饮酒的可能性。鼓励临床医生在为AUD个体制定治疗计划时筛选和评估人格功能。