{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T09:43:52Z","timestamp":1785836632705,"version":"3.56.0"},"reference-count":48,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:00:00Z","timestamp":1783555200000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100024521","name":"Oklahoma Tobacco Settlement Endowment Trust","doi-asserted-by":"publisher","award":["STCST00400_FY25"],"award-info":[{"award-number":["STCST00400_FY25"]}],"id":[{"id":"10.13039\/100024521","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alcohol, Clinical and Experimental Research"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Alcohol elimination rate is associated with acute alcohol consequences, yet it remains difficult to measure reliably in real\u2010world settings. Wearable transdermal alcohol concentration (TAC) sensors provide a feasible option through passive, continuous monitoring of biological alcohol exposure. This facilitates precise testing of whether alcohol elimination rate predicts alcohol\u2010related consequences in naturalistic environments. Additionally, a faster alcohol elimination rate may buffer or reduce the risk of alcohol\u2010related consequences following high and\/or rapid consumption.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      Two observational studies (Alcohol Habits Study [\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009222] and Project ACE [\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200979]), each using a different alcohol sensor, were used in this study. Participants of both studies were young adults from universities who frequently engaged in heavy episodic drinking. Alcohol\u2010related consequences were collected through daily self\u2010reports the morning after drinking days and included metrics across multiple domains such as physical symptoms, interpersonal conflict, safety risk, sexual risk, and miscellaneous. Alcohol elimination rate and other dynamics were extracted from TAC\u2010positive trajectories for each day. Associations were tested using multilevel modeling.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Both studies showed that days with faster elimination rates were associated with more alcohol\u2010related consequences, although statistical significance was observed only in Project ACE. In the Alcohol Habits Study, a significant day\u2010level interaction indicated that the association between peak TAC and alcohol\u2010related consequences was reduced on days with faster alcohol elimination rates. Similar findings emerged in Project ACE but did not reach significance. Both studies demonstrated the same pattern of conditional association: as the daily fall rate increased, the simple association between peak TAC and alcohol\u2010related consequences diminished to the point of non\u2010significance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our results provide novel evidence that alcohol elimination may have (a) an independent association with alcohol\u2010related consequences in natural settings and (b) a buffering impact on the association between peak TAC and alcohol\u2010related consequences. The results span two studies using two separate wearable sensors, supporting the validity of findings. Future research testing these associations in larger and more diverse samples is warranted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acer.70369","type":"journal-article","created":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T09:06:46Z","timestamp":1783588006000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Role of Fall Rate From Transdermal Alcohol Concentration on Alcohol\u2010Related Consequences in College Students"],"prefix":"10.1111","volume":"50","author":[{"given":"Yiping","family":"Li","sequence":"first","affiliation":[{"name":"Department of Biobehavioral Health The Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1391-0607","authenticated-orcid":false,"given":"Veronica L.","family":"Richards","sequence":"additional","affiliation":[{"name":"TSET Health Promotion Research Center, Stephenson Cancer Center University of Oklahoma Health Sciences  Tulsa Oklahoma USA"},{"name":"Department of Health Promotion Sciences University of Oklahoma Health Sciences  Tulsa Oklahoma USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shannon D.","family":"Glenn","sequence":"additional","affiliation":[{"name":"Edna Bennett Pierce Prevention Research Center The Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert J.","family":"Turrisi","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Health The Pennsylvania State University  University Park Pennsylvania USA"},{"name":"Edna Bennett Pierce Prevention Research Center The Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kimberly A.","family":"Mallett","sequence":"additional","affiliation":[{"name":"Edna Bennett Pierce Prevention Research Center The Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael A.","family":"Russell","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Health The Pennsylvania State University  University Park Pennsylvania USA"},{"name":"Edna Bennett Pierce Prevention Research Center The Pennsylvania State University  University Park Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,9]]},"reference":[{"key":"e_1_2_10_2_1","volume-title":"Fixed Effects Regressions for Longitudinal Data Using SAS","author":"Allison P. 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