{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T04:53:20Z","timestamp":1791003200466,"version":"4.1.0"},"reference-count":49,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T00:00:00Z","timestamp":1790899200000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000027","name":"National Institute on Alcohol Abuse and Alcoholism","doi-asserted-by":"publisher","award":["R21AA027191"],"award-info":[{"award-number":["R21AA027191"]}],"id":[{"id":"10.13039\/100000027","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["P30CA225520"],"award-info":[{"award-number":["P30CA225520"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100024521","name":"Oklahoma Tobacco Settlement Endowment Trust","doi-asserted-by":"publisher","award":["00003615"],"award-info":[{"award-number":["00003615"]}],"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":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Wrist\u2010worn transdermal alcohol concentration (TAC) sensors enable continuous, objective measurement of alcohol use. This study validated a newer generation alcohol sensor (BACtrack Skyn) in a laboratory setting among persons with and without HIV. We examined: (1) correspondence between TAC and breath alcohol concentration (BrAC) overall and by HIV status and (2) factors associated with TAC (peak and area under the curve [AUC]) controlling for peak BrAC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Twenty\u2010four participants (32% persons with HIV [PWH], 55% male,\n                      <jats:italic>M<\/jats:italic>\n                      <jats:sub>age<\/jats:sub>\n                      \u2009=\u200934.4) completed 40 laboratory alcohol administration sessions while wearing the sensor and providing BrACs. All participants underwent the same dosing procedures, consuming three 4.5% beers. Correlations, multilevel models, and generalized estimating equations models examined relationships between TAC, BrAC, and individual factors.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In this single\u2010dose study, peak TAC and TAC AUC significantly correlated with peak BrAC (\n                      <jats:italic>r<\/jats:italic>\n                      s\u2009\n                      <jats:italic>=<\/jats:italic>\n                      \u20090.36\u20130.39). Correlations between peak TAC and BrAC were similar by HIV status (\n                      <jats:italic>r<\/jats:italic>\n                      s\u2009\n                      <jats:italic>=<\/jats:italic>\n                      \u20090.5) but varied between TAC AUC and peak BrAC (persons without HIV\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.57, PWH\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.33), with nonsignificant associations among PWH. Full time\u2010series analyses showed stronger TAC\u2010BrAC correlations (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.64) with no HIV differences. Age (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u20090.01, 95% CI: 0.01, 0.02), race\/ethnicity other than non\u2010Hispanic White (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u2009\u22120.44, 95% CI: \u22120.79, \u22120.08), positive HIV status (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u20090.67, 95% CI: 0.24, 1.09), and AUDIT score (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u20090.09, 95% CI: 0.04, 0.14) were associated with peak TAC. Positive HIV status (\n                      <jats:italic>b\u2009=<\/jats:italic>\n                      \u20091.33, 95% CI: 0.48, 2.18), AUDIT score (\n                      <jats:italic>b\u2009=<\/jats:italic>\n                      \u20090.11, 95% CI: 0.02, 0.19), and BMI (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u2009\u22120.06, 95% CI: \u22120.11, \u22120.00) were associated with TAC AUC.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In light of the fixed dosing procedure, peak\u2010based correlations reflect comparisons that limit BrAC variability to a narrow band, thereby constraining TAC\u2010BrAC correlations. TAC and BrAC were significantly correlated, with the strongest concordance observed using full time\u2010series data. Findings suggest similarities and differences in TAC\u2010BrAC relationships by HIV status depending on metric. Individual factors including age, race\/ethnicity, HIV, and AUDIT score were associated with TAC. Future research should confirm these findings in larger, diverse samples.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acer.70424","type":"journal-article","created":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T04:16:08Z","timestamp":1791000968000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Validating a New\u2010Generation Wrist\u2010Worn Alcohol Biosensor Among Persons With and Without\n                    <scp>HIV<\/scp>\n                    in a Laboratory Setting"],"prefix":"10.1111","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1391-0607","authenticated-orcid":false,"given":"Veronica L.","family":"Richards","sequence":"first","affiliation":[{"name":"TSET Health Promotion Research Center, Stephenson Cancer Center University of Oklahoma Health Campus  Tulsa Oklahoma USA"},{"name":"Department of Health Promotion Sciences University of Oklahoma Health Campus  Tulsa Oklahoma USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6006-9355","authenticated-orcid":false,"given":"Amadou","family":"Barrow","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4816-8924","authenticated-orcid":false,"given":"Seungjun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Center for Biostatistics, Department of Population Health Science and Policy Icahn School of Medicine at Mount Sinai  New York New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andy","family":"Chavez Alvarez","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7003-8907","authenticated-orcid":false,"given":"Robert F.","family":"Leeman","sequence":"additional","affiliation":[{"name":"Department of Public Health and Health Sciences Northeastern University  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9634-8287","authenticated-orcid":false,"given":"Nancy P.","family":"Barnett","sequence":"additional","affiliation":[{"name":"Department of Behavioral and Social Sciences and Center for Alcohol and Addiction Studies Brown University  Providence Rhode Island USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric C.","family":"Porges","sequence":"additional","affiliation":[{"name":"Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7770-3754","authenticated-orcid":false,"given":"Robert L.","family":"Cook","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7265-778X","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida  Gainesville Florida USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,2]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13104\u2010016\u20102034\u20102"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/acer.14977"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s15010\u2010014\u20100666\u20105"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1530\u20100277.2001.tb02242.x"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0034821"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v067.i01"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/alcalc\/agad068"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cld.2012.08.002"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1037\/pha0000683"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1097\/ADT.0000000000000060"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/add.15523"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/acer.14172"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.drugalcdep.2020.108205"},{"key":"e_1_2_10_15_1","volume-title":"Structured Clinical Interview for DSM\u20105 Disorders: Scid\u20105\u2010cv: Clinician Version","author":"First M. 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