Continuous Objective Monitoring of Alcohol Use: Twenty‐First Century Measurement Using Transdermal Sensors

Leffingwell, Thad R.; Cooney, Nathaniel J.; Murphy, James G.; Luczak, Susan; Rosen, Gary; Dougherty, Donald M.; Barnett, Nancy P.

doi:10.1111/j.1530-0277.2012.01869.x

Cited by 142Substance Abuse Treatment and OutcomesAlcohol Consumption and Health EffectsNon-Invasive Vital Sign Monitoring

Continuous Objective Monitoring of Alcohol Use: Twenty‐First Century Measurement Using Transdermal Sensors

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Leffingwell, Thad R., Cooney, Nathaniel J., Murphy, James G., Luczak, Susan, Rosen, Gary, Dougherty, Donald M., Barnett, Nancy P.·2013·Alcoholism: Clinical and Experimental Research

DOI 10.1111/j.1530-0277.2012.01869.xPMC PMC3623856

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Abstract

Transdermal alcohol sensors continuously collect reliable and valid data on alcohol consumption in vivo over the course of hours to weeks. Transdermal alcohol readings are highly correlated with breath alcohol measurements, but transdermal alcohol levels lag behind breath alcohol levels by one or more hours owing to the longer time required for alcohol to be expelled through perspiration. By providing objective information about alcohol consumption, transdermal alcohol sensors can validate self‐report and provide important information not previously available. In this article, we describe the development and evaluation of currently available transdermal alcohol sensors, present the strengths and limitations of the technology, and give examples of recent research using the sensors.

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Two wearable transdermal alcohol sensor devices (SCRAM, Giner WrisTAS) have been developed for detecting local ethanol vapor concentration in insensible perspiration over the skin, which is not secreted by sweat glands.
“Two wearable transdermal alcohol sensor devices (SCRAM, Giner WrisTAS) have been developed for detecting local ethanol vapor concentration in insensible perspiration over the skin, which is not secreted by sweat glands.11,12”
From Noninvasive Alcohol Monitoring Using a Wearable Tattoo-Based Iontophoretic-Biosensing System (2016) · cites this paper as [12]

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The validity of self‐reports of alcohol consumption: state of the science and challenges for research
Boca, F. K. D., & Darkes, J. (2003) · Addiction · doi:10.1046/j.1359-6357.2003.00586.x · Cited by 1,138 · see citing works
Talk is cheap: measuring drinking outcomes in clinical trials.
Babor, T., Steinberg, K., Anton, R., & del Boca, F. D. (2000) · Journal of Studies on Alcohol · doi:10.15288/jsa.2000.61.55 · Cited by 493 · see citing works
Verbal report methods in clinical research on alcoholism: response bias and its minimization.
Babor, T. F., Stephens, R. S., & Marlatt, G. A. (1987) · Journal of Studies on Alcohol · doi:10.15288/jsa.1987.48.410 · Cited by 488 · cited 1× · see citing works
“Although approaches to collecting selfreported alcohol use are well established and generally considered reliable and valid (Babor et al., 1987, 2000; Del Boca and Darkes, 2003; Sobell and Sobell, 1990), it is likely that self-report of alcohol use frequency is more reliable and valid than quantity…”
Self-Report Issues in Alcohol Abuse: State of the Art and Future Directions
Sobell, L. C., & Sobell, M. B. (1990) · NSUWorks (Nova Southeastern University) · Cited by 264 · see citing works
Direct measurement of alcohol and its metabolites
Swift, R. M. (2003) · Addiction · doi:10.1046/j.1359-6357.2003.00605.x · Cited by 204 · see citing works
Alcohol Biomarkers in Applied Settings: Recent Advances and Future Research Opportunities
Litten, R. Z., Bradley, A. M., & Moss, H. B. (2010) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2010.01170.x · Cited by 159 · see citing works
Contingency management for alcohol use reduction: A pilot study using a transdermal alcohol sensor
Barnett, N. P., Tidey, J. W., Murphy, J. G., Swift, R. M., & Colby, S. M. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.04.023 · Cited by 145 · see citing works
Self-citation
Studies on a Wearable, Electronic, Transdermal Alcohol Sensor
Swift, R. M., Martin, C. S., Swette, L., LaConti, A., & Kackley, N. (1992) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.1992.tb00668.x · Cited by 114 · see citing works
Validity of Transdermal Alcohol Monitoring: Fixed and Self‐Regulated Dosing
Sakai, J. T., Mikulich‐Gilbertson, S. K., Long, R. J., & Crowley, T. J. (2006) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2006.00004.x · Cited by 111 · see citing works
The utility of collateral informant assessment in college alcohol research: results from a longitudinal prevention trial.
Laforge, R., Borsari, B., & Baer, J. (2005) · Journal of Studies on Alcohol · doi:10.15288/jsa.2005.66.479 · Cited by 103 · see citing works
Field and Laboratory Alcohol Detection With 2 Types of Transdermal Devices
Marques, P. R., & McKnight, A. S. (2009) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00887.x · Cited by 102 · see citing works
Drinking reports from collateral individuals.
Connors, G., & Maisto, S. (2003) · Addiction · doi:10.1046/j.1359-6357.2003.00585.x · Cited by 97 · see citing works
Collateral Reports in the College Setting: A Meta-Analytic Integration
Borsari, B., & Muellerleile, P. (2005) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2009.00902.x · Cited by 89 · see citing works
Using Subject and Collateral Reports to Measure Alcohol Consumption
Maisto, S., & Connors, G. (1992) · Humana Press eBooks · doi:10.1007/978-1-4612-0357-5_4 · Cited by 53 · see citing works
Deconvolving an estimate of breath measured blood alcohol concentration from biosensor collected transdermal ethanol data
Dumett, M. A., Rosen, I. G., Sabat, J., Shaman, A., Tempelman, L., Wang, C., & Swift, R. M. (2008) · Applied Mathematics and Computation · doi:10.1016/j.amc.2007.07.026 · Cited by 53 · see citing works
Transdermal measurement of alcohol consumption
Swift, R. M. (1993) · Addiction · doi:10.1111/j.1360-0443.1993.tb02122.x · Cited by 41 · see citing works
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BIEBER, M. R. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.5.1023 · Cited by 36 · see citing works
Assessment of Ethanol Consumption with a Wearable, Electronic Ethanol Sensor/Recorder
Swift, R., & Swette, L. (1992) · Humana Press eBooks · doi:10.1007/978-1-4612-0357-5_10 · Cited by 22 · see citing works
Evaluation of the Alcopatch, a Transdermal Dosimeter for Monitoring Alcohol Consumption
Phillips, M., Greenberg, J. H., & Andrzejewski, J. (1995) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.1995.tb01022.x · Cited by 21 · see citing works
Efficacy and versatility of voucher-based reinforcement in drug abuse treatment.
Silverman, K., Preston, K. L., Stitzer, M. L., & Schuster, C. R. (1999) · American Psychological Association eBooks · doi:10.1037/10321-008 · Cited by 12 · see citing works
A WEARABLE TRANSDERMAL ALCOHOL SENSOR FOR MEASUREMENT OF ALCOHOL DRINKING.
Swift, R. M., Tempelman, L. A., & Brown, G. (2004) · Alcoholism Clinical and Experimental Research · doi:10.1097/00000374-200408002-00207 · Cited by 1 · see citing works

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Research works printed but not linked: 1

Sobell L Sobell M Timeline follow-back: A technique for assessing self-reported alcohol consumption Measuring alcohol consumption: Psychosocial and biochemical methods 1992 Totowa, NJ US Humana Press 41 72

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Better options than self-report of consumption
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Graham, H., & McIvor, G. (2015) · Stirling Online Research Repository (University of Stirling) · doi:10.15496/publikation-23465 · Cited by 12 · see citing works
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Methods of alcohol measurement
Dasgupta, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805455-0.00009-9 · Cited by 8 · see citing works
Comparing strengths and weaknesses of contemporary quantitative methods to collect data on alcohol consumption: an ‘at-a-glance’ overview
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Nehlin, C., Carlsson, K., & Öster, C. (2017) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000000373 · Cited by 7 · see citing works
The Clinical Course of Alcohol Use Disorder Depicted by Digital Biomarkers
Zetterström, A., Hämäläinen, M., Winkvist, M., Söderquist, M., Öhagen, P., Andersson, K., & Nyberg, F. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.732049 · Cited by 7 · see citing works
Development and validation of a model for measuring alcohol consumption from transdermal alcohol content data among college students
Kianersi, S., Ludema, C., Agley, J. D., Ahn, Y., Parker, M. A., Ideker, S., & Rosenberg, M. S. (2023) · Addiction · doi:10.1111/add.16228 · Cited by 7 · see citing works
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Self-citation
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Gunn, R. L., Steingrimsson, J. A., Merrill, J. E., Souza, T., & Barnett, N. P. (2021) · Drug and Alcohol Review · doi:10.1111/dar.13306 · Cited by 6 · see citing works
Self-citation
Phosphatidylethanol (B-PEth) and other direct and indirect biomarkers of alcohol consumption
de Bejczy, A. (2024) · International review of neurobiology · doi:10.1016/bs.irn.2024.03.004 · Cited by 5 · see citing works

Estimating the quantity and time course of alcohol consumption from transdermal alcohol sensor data: A combined laboratory-ambulatory study
Fairbairn, C. E., Rosen, I. G., Luczak, S. E., & Venerable, W. J. (2018) · Alcohol · doi:10.1016/j.alcohol.2018.08.015 · Cited by 38 · see citing works
Self-citation
Validating transdermal alcohol biosensors: a meta‐analysis of associations between blood/breath‐based measures and transdermal alcohol sensor output
Yu, J., Fairbairn, C. E., Gurrieri, L., & Caumiant, E. P. (2022) · Addiction · doi:10.1111/add.15953 · Cited by 22 · see citing works
A wearable alcohol biosensor: Exploring the accuracy of transdermal drinking detection
Fairbairn, C. E., Han, J., Caumiant, E. P., Benjamin, A. S., & Bosch, N. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.112519 · Cited by 9 · see citing works
Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review
Brobbin, E., Deluca, P., Hemrage, S., & Drummond, C. (2022) · Journal of Medical Internet Research · doi:10.2196/35178 · Cited by 37 · see citing works
Transdermal alcohol monitors: Research, applications, and future directions
Fairbairn, C. E., & Kang, D. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816720-5.00014-1 · Cited by 9 · see citing works

Authors: Leffingwell, T. R., Cooney, N. J., Murphy, J. G., Luczak, S., Rosen, G., Dougherty, D. M., & Barnett, N. P.
Affiliations: Oklahoma State University (US)
University of Memphis (US)
University of Southern California (US)
The University of Texas at San Antonio Health Science Center (US)
Brown University (US)
Corresponding author: Leffingwell, Thad R.
ORCID: Leffingwell, Thad R.
Murphy, James G.
Luczak, Susan
Barnett, Nancy P.
Venue: Alcoholism: Clinical and Experimental Research
Publisher: Wiley
Published: 2012-07-23
Volume: 37
Issue: 1
Pages: 16-22
ISSN: 0145-6008 (ISSN-L)
1530-0277
DOI: 10.1111/j.1530-0277.2012.01869.x
PMC: PMC3623856
OpenAlex: W2056885389
Cited by: 142
References: 21
Citations by year: 2026: 5 · 2025: 2 · 2024: 10 · 2023: 9 · 2022: 11 · 2021: 14 · 2020: 10 · 2019: 12 · 2018: 19 · 2017: 15 · 2016: 14 · 2015: 12 · 2014: 8 · 2013: 1
FWCI: 5.01
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Alcoholism Clinical and Experimental Research (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute on Alcohol Abuse and Alcoholism (R21AA017711, R21AA015980, R21AA020943, R01AA014988)
Topics: Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords: alcohol consumption monitoring, breath alcohol, self-report validation, sweating
MeSH terms: Alcohol Drinking, Ethanol, Central Nervous System Depressants, Humans, Sweat, Monitoring, Ambulatory, Alcohol-Related Disorders

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Continuous Objective Monitoring of Alcohol Use: Twenty‐First Century Measurement Using Transdermal Sensors

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