Iglesias Katia, Sporkert Frank, Daeppen Jean-Bernard, Gmel Gerhard, Baggio Stephanie
School of Health Sciences (HEdS-FR), HES-SO University of Applied Sciences and Arts of Western Switzerland, Fribourg, Switzerland.
Center for the Understanding of Social Processes, University of Neuchâtel, Neuchâtel, Switzerland.
BMJ Open. 2018 Jul 16;8(7):e023632. doi: 10.1136/bmjopen-2018-023632.
Short screenings of alcohol-related dependence are needed for population-based assessments. A clinical interview constitutes a reliable diagnosis often seen as gold standard, but it is costly and time consuming and as such, not suitable for population-based assessments. Therefore, self-reported questionnaires are needed (eg, alcohol use disorder (AUD) as in the Diagnostic and Statistic Manual of Mental Disorders (DSM) 5), but their reliability is questionable. Recent studies called for more evidence-based measurements for population-based screening (eg, heavy alcohol use over time (HAU)). This study aims to test the reliability of different self-reported measures of alcohol use.
Based on stratified random selection, 280 participants will be recruited from the French-speaking subgroup of the Swiss National Science Foundation-supported Cohort Study on Substance Use and Risk Factors (C-SURF). This cohort is a population-based sample of young Swiss men in their mid-20s (n=2668). The sample size calculation is based on a proportion non-inferiority test (alpha=5%, power=80%, margin of equivalence=10%, difference in sensitivity between self-reported AUD and HAU=5%, correlation between AUD and HAU=0.35, and drop-outs=15%). Assessment will include a clinical interview as the gold standard of alcohol-related dependence, self-reported alcohol measures (HAU, AUD and drinking patterns), biomarkers as gold standards of chronic excessive drinking, and health outcomes. To assess the validity of the self-reported alcohol measures, sensitivity analyses will be run. The associations between alcohol-related measures and health outcomes will be tested. A non-response analysis will be run using the previous waves of the C-SURF study using logistic regressions.
The study protocol has been approved by the Human Research Ethics Committee of the Canton of Vaud, Switzerland (no. 2017-00776). The results will be submitted for publication in peer-reviewed journals and presented at national and international conferences.
基于人群的评估需要简短的酒精相关依赖筛查。临床访谈构成了可靠的诊断，常被视为金标准，但成本高昂且耗时，因此不适合基于人群的评估。所以，需要自我报告问卷（例如《精神疾病诊断与统计手册》（DSM）第5版中的酒精使用障碍（AUD）），但其可靠性存疑。近期研究呼吁采用更多基于证据的测量方法进行基于人群的筛查（例如长期大量饮酒（HAU））。本研究旨在测试不同自我报告的酒精使用测量方法的可靠性。
基于分层随机抽样，将从瑞士国家科学基金会支持的物质使用与风险因素队列研究（C-SURF）的法语亚组中招募280名参与者。该队列是25岁左右瑞士年轻男性的基于人群的样本（n = 2668）。样本量计算基于比例非劣效性检验（α = 5%，检验效能 = 80%，等效性边际 = 10%，自我报告的AUD与HAU之间的敏感性差异 = 5%，AUD与HAU之间的相关性 = 0.35，失访率 = 15%）。评估将包括作为酒精相关依赖金标准的临床访谈、自我报告酒精测量（HAU、AUD和饮酒模式）、作为慢性过度饮酒金标准的生物标志物以及健康结局。为评估自我报告酒精测量的有效性，将进行敏感性分析。将测试酒精相关测量与健康结局之间的关联。将使用C-SURF研究的前几轮数据通过逻辑回归进行无应答分析。
该研究方案已获得瑞士沃州人类研究伦理委员会批准（编号2017 - 00776）。研究结果将提交至同行评审期刊发表，并在国内和国际会议上展示。
