{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:49:55Z","timestamp":1782434995372,"version":"3.54.5"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,12,5]],"date-time":"2017-12-05T00:00:00Z","timestamp":1512432000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AA020797"],"award-info":[{"award-number":["U01AA020797"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K24AA022586"],"award-info":[{"award-number":["K24AA022586"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Alcoholism Clin &amp;amp; Exp Res"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Biomarkers can play a key role in supplementing self\u2010report information in alcohol research. In this study, we examined phosphatidylethanol (PEth) in comparison with self\u2010reported alcohol use over time in a randomized controlled trial.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Participants were women living with HIV enrolled in a randomized placebo\u2010controlled trial of naltrexone for reducing hazardous drinking. Drinking behavior was measured using Timeline Followback (TLFB), and PEth as a biomarker using dried blood spots. Data collected at baseline, and months 2 and 7 were analyzed. In addition to calculated Spearman's correlations, mixed\u2010effects modeling was used to evaluate the changes in self\u2010reported drinking and PEth, respectively, adjusting for body mass index (BMI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 194 participants (83% black, mean age 48) were included in the analysis. PEth levels were significantly correlated with self\u2010reported drinking via TLFB, Spearman's <jats:italic>r\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>0.21 at baseline, <jats:italic>r\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>0.29 at 2\u00a0months, and <jats:italic>r\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>0.28 at 7\u00a0months, respectively. No demographic or health factors, except for BMI, was associated with whether self\u2010report was consistent with PEth. Mixed\u2010effects model indicated that self\u2010reported drinking showed significantly greater reductions in the naltrexone treatment group than the placebo group at the 2\u2010 and 7\u2010month visits, whereas PEth measure only showed this difference at the 7\u2010month follow\u2010up.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The magnitude of the correlation between PEth and self\u2010reported alcohol consumption was small. Caution is needed when using either self\u2010report or PEth as a sole outcome measure for alcohol behavior changes in clinical trials.<\/jats:p><\/jats:sec>","DOI":"10.1111\/acer.13540","type":"journal-article","created":{"date-parts":[[2017,10,28]],"date-time":"2017-10-28T15:12:34Z","timestamp":1509203554000},"page":"128-134","source":"Crossref","is-referenced-by-count":20,"title":["Phosphatidylethanol in Comparison to Self\u2010Reported Alcohol Consumption Among HIV\u2010Infected Women in a Randomized Controlled Trial of Naltrexone for Reducing Hazardous Drinking"],"prefix":"10.1111","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7265-778X","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinguang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judith A.","family":"Hahn","sequence":"additional","affiliation":[{"name":"School of Medicine University of California, San Francisco San Francisco California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Babette","family":"Brumback","sequence":"additional","affiliation":[{"name":"Department of Biostatistics University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria J.","family":"Miguez","sequence":"additional","affiliation":[{"name":"School of Integrated Science and Humanity Florida International University Miami Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert L.","family":"Cook","sequence":"additional","affiliation":[{"name":"Department of Epidemiology University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,12,5]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"AllenJP SillanaukeeP StridN LittenRZ(2004)Biomarkers of heavy drinking [Online]. 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