{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T16:27:35Z","timestamp":1791390455507,"version":"4.3.3"},"reference-count":65,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T00:00:00Z","timestamp":1642896000000},"content-version":"vor","delay-in-days":22,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alcoholism Clin &amp;amp; Exp Res"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Wearable transdermal alcohol concentration (TAC) sensors allow passive monitoring of alcohol concentration in natural settings and measurement of multiple features from drinking episodes, including peak intoxication level, speed of intoxication (absorption rate) and elimination, and duration. These passively collected features extend commonly used self\u2010reported drink counts and may facilitate the prediction of alcohol\u2010related consequences in natural settings, aiding risk stratification and prevention efforts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p>A total of 222 young adults aged 21\u201329 (<jats:italic>M<\/jats:italic> age\u00a0=\u00a022.3, 64% female, 79% non\u2010Hispanic white, 84% undergraduates) who regularly drink heavily participated in a 5\u2010day study that included the ecological momentary assessment (EMA) of alcohol consumption (daily morning reports and participant\u2010initiated episodic EMA sequences) and the wearing of TAC sensors (SCRAM\u2010CAM anklets). The analytic sample contained 218 participants and 1274\u00a0days (including 554\u00a0self\u2010reported drinking days). Five features\u2014<jats:italic>area under the curve<\/jats:italic> (AUC), <jats:italic>peak<\/jats:italic> TAC, <jats:italic>rise rate<\/jats:italic> (rate of absorption), <jats:italic>fall rate<\/jats:italic> (rate of elimination), and <jats:italic>duration<\/jats:italic>\u2014were extracted from TAC\u2010positive trajectories for each drinking day. Day\u2010 and person\u2010level associations of TAC features with drink counts (morning and episodic EMA) and alcohol\u2010related consequences were tested using multilevel modeling.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>TAC features were strongly associated with morning drink reports (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.6\u20130.7) but only moderately associated with episodic EMA drink counts (<jats:italic>r<\/jats:italic>\u00a0=\u00a00.3\u20130.5) at both day and person levels. Higher peaks, larger AUCs, faster rise rates, and faster fall rates were significantly predictive of day\u2010level alcohol\u2010related consequences after adjusting for both morning and episodic EMA drink counts in separate models. Person means of TAC features added little above daily scores to the prediction of alcohol\u2010related consequences.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>These results support the utility of TAC sensors in studies of alcohol misuse among young adults in natural settings and outline the specific TAC features that contribute to the day\u2010level prediction of alcohol\u2010related consequences. TAC sensors provide a passive option for obtaining valid and unique information predictive of drinking risk in natural settings.<\/jats:p><\/jats:sec>","DOI":"10.1111\/acer.14739","type":"journal-article","created":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T15:00:37Z","timestamp":1642950037000},"page":"100-113","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Transdermal sensor features correlate with ecological momentary assessment drinking reports and predict alcohol\u2010related consequences in young adults\u2019 natural settings"],"prefix":"10.1111","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3956-604X","authenticated-orcid":false,"given":"Michael A.","family":"Russell","sequence":"first","affiliation":[{"name":"Department of Biobehavioral Health The Pennsylvania State University  University Park Pennsylvania 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