干预研究中使用生物标记物测量酒精消耗:范围综述

IF 2.7 Q2 SUBSTANCE ABUSE
Jeremy C. Kane, Priya Chirayil, Rhea Pawar, Sachi Inoue, Tamara Hofer, Michael McDonell, Carl Latkin, Geetanjali Chander, Silvia S. Martins, M. Claire Greene, Michael Vinikoor, Anjali Sharma, Judith A. Hahn
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引用次数: 0

摘要

在干预研究中,饮酒量通常仅通过自我报告来衡量,这可能受到社会期望、回忆和其他偏见的影响。生物标记物和生物传感器作为酒精消耗的客观测量方法已经得到普及,可以提高结果的准确性。这篇范围综述提供了一个叙述性的概述,并描述了生物标志物在酒精干预研究中的应用,为未来的研究提供信息。我们对酒精干预文献进行了综述,包括已发表的研究和Clinicaltrials.gov注册(2000-2021)。随机对照试验、准实验和非实验研究,如果它们试点或评估了旨在减少不健康饮酒的干预措施,并且如果使用了酒精生物标志物,则包括在内。数据图表包括生物标志物的类型,研究地点的国家和背景,以及如何在分析中使用生物标志物的描述。我们确定了168项酒精干预研究,其中至少包括一种生物标志物。血液酒精含量是最常用的(N = 76)。随着时间的推移,生物标志物的使用呈上升趋势;24%的研究发表于2000年至2010年之间,76%发表于2011年至2021年之间。随着时间的推移,直接生物标志物(磷脂酰乙醇和葡萄糖醛酸乙酯)和生物传感器的使用频率相对于间接生物标志物(如天门冬氨酸转氨酶、缺乏碳水化合物的转铁蛋白和丙氨酸转氨酶)有所增加。大多数研究是在高收入国家进行的;只有15%在低收入或中等收入国家进行。超过一半的已完成研究没有报告自我报告和生物标志物结果之间的比较,即使两者都收集了。在报告了比较的研究中,26%报告了自我报告和生物标志物结果之间的不一致。直接生物标志物和生物传感器的使用正在加速。报告生物标记物/自我报告的一致性结果需要更加一致,多种生物标记物之间需要更多的比较,并且在酒精生物标记物文献中需要更大的地理代表性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Measuring alcohol consumption with biomarkers in intervention studies: A scoping review

Measuring alcohol consumption with biomarkers in intervention studies: A scoping review

In intervention studies, alcohol consumption is often measured by self-report alone, which can be impacted by social desirability, recall, and other biases. Biomarkers and biosensors have gained popularity as objective measurements of alcohol consumption that can improve the accuracy of results. This scoping review provides a narrative overview and describes the use of biomarkers in alcohol intervention studies to inform future research. We conducted a review of alcohol intervention literature including published studies and Clinicaltrials.gov registrations (2000–2021). Randomized controlled trials, quasi-experimental, and nonexperimental studies were included if they piloted or evaluated an intervention aimed at reducing unhealthy alcohol consumption and if an alcohol biomarker was used. Data charting included type of biomarker(s), the country and context of the study location, and a description of how the biomarker was used in analysis. We identified 168 alcohol intervention studies that included at least one biomarker. Blood alcohol content was the most used (N = 76). There was an upward trend in biomarker use over time; 24% of studies were published between 2000 and 2010, and 76% between 2011 and 2021. The use of direct biomarkers, phosphatidylethanol and ethyl glucuronide, and biosensors has increased in frequency over time relative to indirect biomarkers, such as aspartate aminotransferase, carbohydrate-deficient transferrin, and alanine aminotransferase. Most studies were conducted in high-income countries; only 15% were conducted in a low- or middle-income country. More than half of completed studies did not report on comparisons between self-report and biomarker results even when both were collected. Among studies that did report a comparison, 26% reported discordance between self-report and biomarker results. The use of direct biomarkers and biosensors is accelerating. There is a need for more consistency in reporting biomarker/self-report concordance results, more comparisons between multiple biomarkers, and for greater geographic representation within the alcohol biomarker literature.

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