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饮酒评估:回顾性测量与智能手机应用。

Assessment of alcohol intake: Retrospective measures versus a smartphone application.

机构信息

Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC 3010, Australia.

Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC 3010, Australia.

出版信息

Addict Behav. 2018 Aug;83:35-41. doi: 10.1016/j.addbeh.2017.11.003. Epub 2017 Nov 3.

DOI:10.1016/j.addbeh.2017.11.003
PMID:29128148
Abstract

INTRODUCTION

Research investigating problem drinking often relies on retrospective measures to assess alcohol consumption behaviour. Limitations associated with such instruments can, however, distort actual consumption levels and patterns. We developed the smartphone application (app), CNLab-A, to assess alcohol intake behaviour in real-time.

METHODS

Healthy individuals (N=671, M age 23.12) completed demographic questions plus the Alcohol Use Questionnaire and a 21-day Timeline Followback before using CNLab-A for 21days. The app asked participants to record alcohol consumption details in real time. We compared data reported via retrospective measures with that captured using CNLab-A.

RESULTS

On average, participants submitted data on 20.27days using CNLab-A. Compared to Timeline Followback, a significantly greater percentage of drinking days (24.79% vs. 26.44%) and significantly higher total intake (20.30 vs. 24.26 standard drinks) was recorded via the app. CNLab-A captured a substantially greater number of high intake occasions at all levels from 8 or more drinks than Timeline Followback. Additionally, relative to the Alcohol Use Questionnaire, a significantly faster rate of consumption was recorded via the app.

CONCLUSIONS

CNLab-A provided more nuanced information regarding quantity and pattern of alcohol intake than the retrospective measures. In particular, it revealed higher levels of drinking than retrospective reporting. This will have implications for how particular at-risk alcohol consumption patterns are identified in future and might enable a more sophisticated exploration of the causes and consequences of drinking behaviour.

摘要

简介

研究发现,问题饮酒的研究通常依赖于回顾性措施来评估饮酒行为。然而,这些工具的局限性可能会扭曲实际的饮酒水平和模式。我们开发了智能手机应用程序(CNLab-A),以实时评估饮酒行为。

方法

健康个体(N=671,M 年龄 23.12 岁)在使用 CNLab-A 进行 21 天之前完成了人口统计学问题、酒精使用问卷和 21 天时间线回溯。该应用程序要求参与者实时记录饮酒细节。我们比较了通过回顾性措施报告的数据与通过 CNLab-A 捕获的数据。

结果

平均而言,参与者通过 CNLab-A 提交了 20.27 天的数据。与时间线回溯相比,通过应用程序记录的饮酒天数(24.79%比 26.44%)和总摄入量(20.30 比 24.26 标准饮料)显著增加。CNLab-A 记录的高摄入量次数也明显多于时间线回溯,从 8 次及以上的各个水平都要多。此外,与酒精使用问卷相比,通过应用程序记录的饮酒速度明显更快。

结论

CNLab-A 提供了比回顾性措施更细致的关于饮酒量和模式的信息。特别是,它显示了比回顾性报告更高的饮酒水平。这将对未来如何识别特定的高危饮酒模式产生影响,并且可能能够更深入地探讨饮酒行为的原因和后果。

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