Predictors of Detection of Alcohol Use Episodes Using a Transdermal Alcohol Sensor
Predictors of Detection of Alcohol Use Episodes Using a Transdermal Alcohol Sensor
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DOI：
10.1037/a0034821
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发表时间：
2014-02-01
影响因子：
2.3
通讯作者：
Glynn, Tiffany R.
中科院分区：
文献类型：
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作者：
Barnett, Nancy P.;Meade, E. B.;Glynn, Tiffany R.
本次调查的目的是建立安全连续远程酒精监测 (SCRAM) 酒精传感器检测不同程度的自我报告饮酒量的能力，并确定性别和体重指数、酒精依赖、手环版本和手环年龄是否影响酒精使用检测。大量饮酒的成年人（N = 66，其中 46% 为女性）佩戴 SCRAM 1-28 天，并在每日网络调查中报告其饮酒情况。参与者的饮酒报告与手环读数中识别的饮酒事件相匹配。在手环发挥作用的日子里，报告了 690 次饮酒事件，其中 502 次（72.8%）是使用传感器数据检测到的。使用广义估计方程，我们发现在报告的饮酒事件检测中没有性别差异（女性为 77%，男性为 69%）。在单变量分析中，饮酒次数少于 5 次时，女性发作的可能性更高，这可能是因为这些发作时经皮酒精浓度水平显着较高，而饮酒次数为 5 次或以上时，检测结果没有性别差异（女性为 92.6%，男性为 93.4%）。在多变量分析中，除了饮酒次数之外，没有其他变量可以显着预测酒精检测。综上所述，SCRAM 传感器非常适合检测 5 种或更多饮料；低于此水平的监测仪在女性中的表现更好，因为她们的经皮酒精浓度水平较高。纳入饮酒次数后，个人特征和手环特征与检测无关。注意到手镯故障极少。
The objective of this investigation was to establish the ability of the Secure Continuous Remote Alcohol Monitoring (SCRAM) alcohol sensor to detect different levels of self-reported alcohol consumption, and to determine whether gender and body mass index, alcohol dependence, bracelet version, and age of bracelet influenced detection of alcohol use. Heavy drinking adults (N = 66, 46% female) wore the SCRAM for 1-28 days and reported their alcohol use in daily Web-based surveys. Participant reports of alcohol use were matched with drinking episodes identified from bracelet readings. On days when bracelets were functional, 690 drinking episodes were reported and 502 of those episodes (72.8%) were detected using sensor data. Using generalized estimating equations, we found no gender differences in detection of reported drinking episodes (77% for women, 69% for men). In univariate analyses, at the level of fewer than 5 drinks, women's episodes were more likely to be detected, likely because of the significantly higher transdermal alcohol concentration levels of these episodes, whereas at the level of 5 or more drinks, there was no gender difference in detection (92.6% for women, 93.4% for men). In multivariable analyses, no variables other than number of drinks significantly predicted alcohol detection. In summary, the SCRAM sensor is very good at detecting 5 or more drinks; performance of the monitor below this level was better among women because of their higher transdermal alcohol concentration levels. Individual person characteristics and bracelet features were not related to detection after number of drinks was included. Minimal bracelet malfunctions were noted.