Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda
Identifieur interne : 000232 ( Pmc/Corpus ); précédent : 000231; suivant : 000233Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda
Auteurs : Francis Bajunirwe ; Jessica E. Haberer ; Yap Boum ; Peter Hunt ; Rain Mocello ; Jeffrey N. Martin ; David R. Bangsberg ; Judith A. HahnSource :
- PLoS ONE [ 1932-6203 ] ; 2014.
Abstract
Alcohol consumption among HIV-infected patients may accelerate HIV disease progression or reduce antiretroviral therapy adherence. Self-reported alcohol use is frequently under-reported due to social desirability and recall bias. The aim of this study was to compare self-reported alcohol consumption to phosphatidylethanol (PEth), a biomarker of alcohol consumption, and to estimate the correlation between multiple measures of self-reported alcohol consumption with PEth.
The Uganda AIDS Rural Treatment Outcomes (UARTO) cohort is located in southwestern Uganda and follows patients on ART to measure treatment outcomes. Patients complete standardized questionnaires quarterly including questions on demographics, health status and alcohol consumption. Baseline dried blood spots (DBS) were collected and retrieved to measure PEth.
One hundred fifty samples were tested, and 56 (37.3%) were PEth positive (≥8 ng/mL). Of those, 51.7% did not report alcohol use in the past month. Men were more likely to under-report compared to women, OR 2.9, 95% CI = 1.26, 6.65) and those in the higher economic asset categories were less likely to under-report compared to those in the lowest category (OR = 0.41 95% CI: 0.17, 0.94). Among self-reported drinkers (n = 31), PEth was highly correlated with the total number of drinking days in the last 30 (Spearman R = 0.73, p<0.001).
Approximately half of HIV infected patients initiating ART and consuming alcohol under-report their use of alcohol. Given the high prevalence, clinicians should assess all patients for alcohol use with more attention to males and those in lower economic asset categories who deny alcohol use. Among those reporting current drinking, self-reported drinking days is a useful quantitative measure.
Url:
DOI: 10.1371/journal.pone.0113152
PubMed: 25436894
PubMed Central: 4249861
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PMC:4249861Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda</title><author><name sortKey="Bajunirwe, Francis" sort="Bajunirwe, Francis" uniqKey="Bajunirwe F" first="Francis" last="Bajunirwe">Francis Bajunirwe</name><affiliation><nlm:aff id="aff1"><addr-line>Mbarara University of Science and Technology, Faculty of Medicine, Department of Community Health, P.O. Box 1410, Mbarara, Uganda</addr-line></nlm:aff></affiliation></author><author><name sortKey="Haberer, Jessica E" sort="Haberer, Jessica E" uniqKey="Haberer J" first="Jessica E." last="Haberer">Jessica E. Haberer</name><affiliation><nlm:aff id="aff2"><addr-line>Harvard Medical School, Boston, Massachusetts, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Boum, Yap" sort="Boum, Yap" uniqKey="Boum Y" first="Yap" last="Boum">Yap Boum</name><affiliation><nlm:aff id="aff3"><addr-line>Epicentre Uganda Research Center, Mbarara, Uganda</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hunt, Peter" sort="Hunt, Peter" uniqKey="Hunt P" first="Peter" last="Hunt">Peter Hunt</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Mocello, Rain" sort="Mocello, Rain" uniqKey="Mocello R" first="Rain" last="Mocello">Rain Mocello</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Martin, Jeffrey N" sort="Martin, Jeffrey N" uniqKey="Martin J" first="Jeffrey N." last="Martin">Jeffrey N. Martin</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Medicine, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Bangsberg, David R" sort="Bangsberg, David R" uniqKey="Bangsberg D" first="David R." last="Bangsberg">David R. Bangsberg</name><affiliation><nlm:aff id="aff2"><addr-line>Harvard Medical School, Boston, Massachusetts, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hahn, Judith A" sort="Hahn, Judith A" uniqKey="Hahn J" first="Judith A." last="Hahn">Judith A. Hahn</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Medicine, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25436894</idno><idno type="pmc">4249861</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4249861</idno><idno type="RBID">PMC:4249861</idno><idno type="doi">10.1371/journal.pone.0113152</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000232</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000232</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda</title><author><name sortKey="Bajunirwe, Francis" sort="Bajunirwe, Francis" uniqKey="Bajunirwe F" first="Francis" last="Bajunirwe">Francis Bajunirwe</name><affiliation><nlm:aff id="aff1"><addr-line>Mbarara University of Science and Technology, Faculty of Medicine, Department of Community Health, P.O. Box 1410, Mbarara, Uganda</addr-line></nlm:aff></affiliation></author><author><name sortKey="Haberer, Jessica E" sort="Haberer, Jessica E" uniqKey="Haberer J" first="Jessica E." last="Haberer">Jessica E. Haberer</name><affiliation><nlm:aff id="aff2"><addr-line>Harvard Medical School, Boston, Massachusetts, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Boum, Yap" sort="Boum, Yap" uniqKey="Boum Y" first="Yap" last="Boum">Yap Boum</name><affiliation><nlm:aff id="aff3"><addr-line>Epicentre Uganda Research Center, Mbarara, Uganda</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hunt, Peter" sort="Hunt, Peter" uniqKey="Hunt P" first="Peter" last="Hunt">Peter Hunt</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Mocello, Rain" sort="Mocello, Rain" uniqKey="Mocello R" first="Rain" last="Mocello">Rain Mocello</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Martin, Jeffrey N" sort="Martin, Jeffrey N" uniqKey="Martin J" first="Jeffrey N." last="Martin">Jeffrey N. Martin</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Medicine, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Bangsberg, David R" sort="Bangsberg, David R" uniqKey="Bangsberg D" first="David R." last="Bangsberg">David R. Bangsberg</name><affiliation><nlm:aff id="aff2"><addr-line>Harvard Medical School, Boston, Massachusetts, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Hahn, Judith A" sort="Hahn, Judith A" uniqKey="Hahn J" first="Judith A." last="Hahn">Judith A. Hahn</name><affiliation><nlm:aff id="aff4"><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff5"><addr-line>Department of Medicine, University of California San Francisco, San Francisco, California, United States of America</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Alcohol consumption among HIV-infected patients may accelerate HIV disease progression or reduce antiretroviral therapy adherence. Self-reported alcohol use is frequently under-reported due to social desirability and recall bias. The aim of this study was to compare self-reported alcohol consumption to phosphatidylethanol (PEth), a biomarker of alcohol consumption, and to estimate the correlation between multiple measures of self-reported alcohol consumption with PEth.</p></sec><sec><title>Methods</title><p>The Uganda AIDS Rural Treatment Outcomes (UARTO) cohort is located in southwestern Uganda and follows patients on ART to measure treatment outcomes. Patients complete standardized questionnaires quarterly including questions on demographics, health status and alcohol consumption. Baseline dried blood spots (DBS) were collected and retrieved to measure PEth.</p></sec><sec><title>Results</title><p>One hundred fifty samples were tested, and 56 (37.3%) were PEth positive (≥8 ng/mL). Of those, 51.7% did not report alcohol use in the past month. Men were more likely to under-report compared to women, OR 2.9, 95% CI = 1.26, 6.65) and those in the higher economic asset categories were less likely to under-report compared to those in the lowest category (OR = 0.41 95% CI: 0.17, 0.94). Among self-reported drinkers (n = 31), PEth was highly correlated with the total number of drinking days in the last 30 (Spearman R = 0.73, p<0.001).</p></sec><sec><title>Conclusions</title><p>Approximately half of HIV infected patients initiating ART and consuming alcohol under-report their use of alcohol. Given the high prevalence, clinicians should assess all patients for alcohol use with more attention to males and those in lower economic asset categories who deny alcohol use. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25436894</article-id><article-id pub-id-type="pmc">4249861</article-id><article-id pub-id-type="publisher-id">PONE-D-14-33170</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0113152</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine and health sciences</subject><subj-group><subject>Epidemiology</subject><subj-group><subject>Biomarker epidemiology</subject><subject>HIV epidemiology</subject><subject>Social epidemiology</subject></subj-group></subj-group><subj-group><subject>Infectious Diseases</subject><subj-group><subject>Viral Diseases</subject><subj-group><subject>AIDS</subject></subj-group></subj-group></subj-group><subj-group><subject>Mental Health and Psychiatry</subject><subj-group><subject>Substance-Related Disorders</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda</article-title><alt-title alt-title-type="running-head">Self-Reported Alcohol Measures and HIV-1 Patients</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Bajunirwe</surname><given-names>Francis</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author"><name><surname>Haberer</surname><given-names>Jessica E.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Boum</surname><given-names>Yap</given-names><suffix>II</suffix></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Hunt</surname><given-names>Peter</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Mocello</surname><given-names>Rain</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Martin</surname><given-names>Jeffrey N.</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author"><name><surname>Bangsberg</surname><given-names>David R.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Hahn</surname><given-names>Judith A.</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Mbarara University of Science and Technology, Faculty of Medicine, Department of Community Health, P.O. Box 1410, Mbarara, Uganda</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Harvard Medical School, Boston, Massachusetts, United States of America</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Epicentre Uganda Research Center, Mbarara, Uganda</addr-line></aff><aff id="aff4"><label>4</label><addr-line>Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America</addr-line></aff><aff id="aff5"><label>5</label><addr-line>Department of Medicine, University of California San Francisco, San Francisco, California, United States of America</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Kumar</surname><given-names>Anil</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>University of Missouri-Kansas City, United States of America</addr-line></aff><author-notes><corresp id="cor1">* E-mail: <email>fbaj@yahoo.com</email></corresp><fn fn-type="conflict"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con"><p>Conceived and designed the experiments: FB DRB JNM JAH. Performed the experiments: FB JEH YB PH. Analyzed the data: FB JEH YB PH RM JNM DRB JAH. Contributed reagents/materials/analysis tools: FB JEH YB PH RM JNM DRB JAH. Wrote the paper: FB JEH YB PH RM JNM DRB JAH. Final approval of the manuscript: FB JEH YB PH RM JNM DRB JAH.</p></fn></author-notes><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>1</day><month>12</month><year>2014</year></pub-date><volume>9</volume><issue>12</issue><elocation-id>e113152</elocation-id><history><date date-type="received"><day>24</day><month>7</month><year>2014</year></date><date date-type="accepted"><day>20</day><month>10</month><year>2014</year></date></history><permissions><copyright-year>2014</copyright-year><license><license-p>This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.</license-p></license></permissions><abstract><sec><title>Background</title><p>Alcohol consumption among HIV-infected patients may accelerate HIV disease progression or reduce antiretroviral therapy adherence. Self-reported alcohol use is frequently under-reported due to social desirability and recall bias. The aim of this study was to compare self-reported alcohol consumption to phosphatidylethanol (PEth), a biomarker of alcohol consumption, and to estimate the correlation between multiple measures of self-reported alcohol consumption with PEth.</p></sec><sec><title>Methods</title><p>The Uganda AIDS Rural Treatment Outcomes (UARTO) cohort is located in southwestern Uganda and follows patients on ART to measure treatment outcomes. Patients complete standardized questionnaires quarterly including questions on demographics, health status and alcohol consumption. Baseline dried blood spots (DBS) were collected and retrieved to measure PEth.</p></sec><sec><title>Results</title><p>One hundred fifty samples were tested, and 56 (37.3%) were PEth positive (≥8 ng/mL). Of those, 51.7% did not report alcohol use in the past month. Men were more likely to under-report compared to women, OR 2.9, 95% CI = 1.26, 6.65) and those in the higher economic asset categories were less likely to under-report compared to those in the lowest category (OR = 0.41 95% CI: 0.17, 0.94). Among self-reported drinkers (n = 31), PEth was highly correlated with the total number of drinking days in the last 30 (Spearman R = 0.73, p<0.001).</p></sec><sec><title>Conclusions</title><p>Approximately half of HIV infected patients initiating ART and consuming alcohol under-report their use of alcohol. Given the high prevalence, clinicians should assess all patients for alcohol use with more attention to males and those in lower economic asset categories who deny alcohol use. Among those reporting current drinking, self-reported drinking days is a useful quantitative measure.</p></sec></abstract><funding-group><funding-statement>This work was funded by National Institutes of Health R01 MH054907 (DRB), K24AA022586 (JAH), R01AA018631 (JAH), P30 AI027763, R01 MH054907, and U01 CA066529 (JM). FB is supported by the IAS-NIDA fellowship program and JEH is supported by the NIH (K23MH 087228). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><page-count count="12"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are included in the Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are included in the Supporting Information files.</p></notes></front><body><sec id="s1"><title>Introduction</title><p>Uganda faces a dual burden of HIV and unhealthy alcohol use. The country is ranked among the top per capita consumers of alcohol in the world <xref rid="pone.0113152-WHO1" ref-type="bibr">[1]</xref> and also has a high prevalence of HIV of 7.3% among the adults <xref rid="pone.0113152-XX1" ref-type="bibr">[2]</xref>. This dual burden of heavy alcohol use and HIV may present challenges because alcohol use among HIV patients has been associated with increased progression of HIV disease <xref rid="pone.0113152-Samet1" ref-type="bibr">[3]</xref>, potentially due to the effect of alcohol on the immune system <xref rid="pone.0113152-Hahn1" ref-type="bibr">[4]</xref>. Alcohol is known to interact with certain antiretroviral treatments hence reducing treatment efficacy <xref rid="pone.0113152-Kumar1" ref-type="bibr">[5]</xref>, and alcohol consumption is associated with poor adherence to antiretroviral medication <xref rid="pone.0113152-Braithwaite1" ref-type="bibr">[6]</xref>–<xref rid="pone.0113152-Samet2" ref-type="bibr">[8]</xref> and with excess mortality <xref rid="pone.0113152-DeLorenze1" ref-type="bibr">[9]</xref>–<xref rid="pone.0113152-Neblett1" ref-type="bibr">[11]</xref>. Effective treatments in the form of behavioral or pharmacological therapy <xref rid="pone.0113152-Anton1" ref-type="bibr">[12]</xref> exist to reduce the negative effects of alcohol among those with alcohol use disorders; while screening and brief interventions may reduce alcohol consumption among problem drinkers who are not alcohol dependent <xref rid="pone.0113152-ODonnell1" ref-type="bibr">[13]</xref>.</p><p>To identify patients who consume alcohol, counselors and clinicians often rely on self-reported measures of alcohol consumption which may be biased toward under-report by social desirability to report what the counselor or clinician wants to hear, or out of fear of being denied ART <xref rid="pone.0113152-Papas1" ref-type="bibr">[14]</xref> or simply recall bias. The frequency of under-reporting has been explored in very few studies, however in a nested case control from our cohort, the frequency of self-reported prior 3-month alcohol use increased from 20% to 41% when alcohol biomarker and breathalyzer testing was included as part of the study protocol and discussed during the informed consent process <xref rid="pone.0113152-Hahn2" ref-type="bibr">[15]</xref>. There are also challenges in quantifying alcohol consumption in resource limited settings such as Uganda, where drinks are often served in non-standard containers such as gourds or consumed communally. In order to accurately measure alcohol consumption, biomarkers of alcohol such as phosphatidylethanol (PEth), a phospholipid which is formed by the action of a phospholipase enzyme only in the presence of alcohol, may be useful. PEth has been tested in Uganda and shown to be highly sensitive (88%) and specific (89%) for any alcohol consumption in the prior 21 days <xref rid="pone.0113152-Hahn3" ref-type="bibr">[16]</xref>. Thus this biomarker provides a tool to estimate under report.</p><p>The aim of this study was to determine the frequency of alcohol under-reporting among patients receiving HIV treatment, the characteristics of the patients who underreport, and examine the correlation of quantitative PEth results with various self-reported measures of alcohol consumption in rural Uganda.</p></sec><sec sec-type="methods" id="s2"><title>Methods</title><sec id="s2a"><title>Setting and study procedures</title><p>Participants in this study were part of the Uganda AIDS Rural Treatment Outcomes (UARTO) cohort study located in Mbarara, which is in southwestern Uganda. The UARTO cohort began in July 2005 and recruited treatment-naïve patients initiating ART at Mbarara Hospital's HIV clinic. A study representative approached individuals collecting new antiretroviral prescriptions from the pharmacy, and determined their eligibility and interest in participation. Those who were at least 18 years of age and lived within 50 kilometers of the clinic were eligible for the study. The cohort is fully recruited now but follow-up is still ongoing.</p></sec><sec id="s2b"><title>Ethics statement</title><p>All study procedures were approved by the Institutional review Boards of the Mbarara University of Science and Technology, Partners HealthCare, the University of California, San Francisco, and the Uganda National Council of Science and Technology. All participants enrolled in the study provided written informed consent. As part of the consent process, participants agreed to have their blood samples stored, and were told that the blood may be tested to see if they had consumed alcohol. Upon recruitment, UARTO participants underwent a baseline interview and phlebotomy. Participants completed standardized interviewer-administered surveys detailing demographics, household socioeconomic profile, alcohol use, mental and physical health status and depression scores among other variables, as well as CD4 cell count and HIV RNA quantification, on a quarterly basis.</p></sec><sec id="s2c"><title>Measurement of alcohol consumption</title><p>We asked study participants when they last consumed alcohol, and how many days in the prior 30 they consumed alcohol. We additionally asked the typical number of drinks consumed per drinking day for those drinking alcohol in forms other than gourds or non-standard drink containers. The number of drinks per day was used to calculate the total number of drinks in the last 30 days. We asked the total amount of money (in Ugandan shillings) that the participants spent on their own alcohol in the prior 30 days. Lastly, we asked the number of days the participants drank until they reached the following stages of intoxication (in descending order of severity): drinking until feeling stuporous or becoming unconscious; drinking until it was difficult to speak or see clearly or walk; drinking until it was difficult to think clearly; and drinking until feeling uninhibited or a false sense of confidence. We added the number of days the participants reported these to create a variable representing the number of days of drinking until intoxication.</p></sec><sec id="s2d"><title>Covariates</title><p>Depression was assessed using the 15-items of the Hopkins Symptoms checklist depression scale (HSCL) that screen for depression <xref rid="pone.0113152-Martinez1" ref-type="bibr">[17]</xref>. The tool has been used widely in the region and has been found to have high validity and reliability <xref rid="pone.0113152-Epino1" ref-type="bibr">[18]</xref>. We used a cut-off of average value of greater than or equal to 1.75 to indicate a positive screen for clinical depression. Literacy levels were assessed using simple reading cards in the local language and English. Socio-economic status was assessed using education, electricity in the home, asset category and land ownership. Economic asset categories to indicate household wealth were constructed using Principal components analysis <xref rid="pone.0113152-Vyas1" ref-type="bibr">[19]</xref>. Low represents the bottom two quintiles and the rest were classified in a single category representing medium to high assets.</p><sec id="s2d1"><title>Dried blood spot collection and phosphatidylethanol testing</title><p>Phospatidylethanol (PEth) is a metabolite of alcohol and is a highly sensitive and specific biomarker for alcohol consumption and has been shown to have the highest sensitivity for detecting alcohol intake over the last 21 days compared to the other biomarkers such as carbohydrate deficient transferin (CDT), mean corpuscular volume (MCV) and gamma-glutamyl transferase <xref rid="pone.0113152-Hannuksela1" ref-type="bibr">[20]</xref>. In a previous study of persons with HIV attending the Mbarara Hospital HIV Clinic different from those enrolled in the current study, we found that PEth was 88% sensitive and 89% specific for any alcohol consumption in the prior 21 days. <xref rid="pone.0113152-Hahn3" ref-type="bibr">[16]</xref> In that study any alcohol consumption was defined as either detectable alcohol use on any daily breathalyzer test conducted at home or a pre-arranged drinking establishment, or any and alcohol use self-reported on a daily survey.</p><p>In addition, the study found that PEth was highly correlated with several quantitative measures of alcohol consumption, such as number of days drinking (Spearman r = 0.74); others have shown similar results in HIV uninfected populations. <xref rid="pone.0113152-Aradottir1" ref-type="bibr">[21]</xref>, <xref rid="pone.0113152-Hartmann1" ref-type="bibr">[22]</xref></p><p>We collected dried blood spots (DBS) at all study visits beginning July 2011, and retrieved those for the baseline visits for the first 150 patients in August 2013, therefore samples were stored for a maximum of two years. PEth testing was conducted at the United States Drug Testing Laboratory, Des Plaines, IL, using a previously published method. <xref rid="pone.0113152-Jones1" ref-type="bibr">[23]</xref> PEth was detected in standard dried blood spot punches (3.1 mm) using an Agilent 6460 liquid chromatography-tandem mass spectrometry (LC-MS/MS) system following extraction into methanol. The most prevalent PEth isomer, palmitoyl (PEth 16∶0)/oleoyl (PEth 18∶1), was detected. Positive tests were confirmed with a repeat test, and the average of the two results was used. The limit of detection was 2 ng/mL, the limit of quantitation was 8 ng/mL, and the assay was linear up to 800 ng/mL.</p></sec></sec><sec id="s2e"><title>Statistical analysis</title><p>We calculated the proportions for categorical variables and means or medians for continuous variables. We determined the sensitivity of self-reported alcohol use compared to PEth. Participants were considered to have under-reported alcohol consumption if they tested positive for PEth (≥8 ng/mL, the current limit of quantification) but report no alcohol consumption in the last 30 days. We use logistic regression to determine the factors associated with under-reporting. We conducted 3 sets of logistic regression in which the outcome variable was a PEth positive result. These regressions were conducted (1) among all participants, (2) among those who reported prior 30 day drinking and/or those who were PEth positive, collectively called drinkers, and (3), among those who reported no drinking in the prior 30 days. We used the Wilcoxon rank sum test (Mann-Whitney) to compare the median PEth values of those who did to those who did not report any 30 day drinking, overall and by sex, among those who tested positive for PEth. Lastly, we calculated Spearman's rank correlations between the quantitative PEth values and several self-reported measures of alcohol consumption among those who reported any 30 day drinking.</p></sec></sec><sec id="s3"><title>Results</title><sec id="s3a"><title>Baseline characteristics</title><p>Of the 150 participants, 65% were female, 43% were aged 31 to 45 years and 53% were of Protestant religion (<xref ref-type="table" rid="pone-0113152-t001">Table 1</xref>). Almost one quarter (23%) of the respondents could not read a sentence and 26% screened positive for depression.</p><table-wrap id="pone-0113152-t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0113152.t001</object-id><label>Table 1</label><caption><title>Baseline characteristics (n = 150).</title></caption><alternatives><graphic id="pone-0113152-t001-1" xlink:href="pone.0113152.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Characteristic</td><td align="left" rowspan="1" colspan="1">N (%)</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Gender</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td align="left" rowspan="1" colspan="1">52 (34.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">98 (65.4)</td></tr><tr><td align="left" rowspan="1" colspan="1">Age</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">18–30</td><td align="left" rowspan="1" colspan="1">63 (42.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">31–45</td><td align="left" rowspan="1" colspan="1">65 (43.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Over 45</td><td align="left" rowspan="1" colspan="1">22 (14.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Religion</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Protestant</td><td align="left" rowspan="1" colspan="1">79 (52.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Catholic</td><td align="left" rowspan="1" colspan="1">45 (30.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Moslem</td><td align="left" rowspan="1" colspan="1">17 (11.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Pentecostal</td><td align="left" rowspan="1" colspan="1">9 (6.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Education</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">28 (18.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">Primary</td><td align="left" rowspan="1" colspan="1">78 (52.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Secondary and above</td><td align="left" rowspan="1" colspan="1">44 (29.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Own land</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">63 (42.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">87 (58.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Literacy</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Cannot read at all</td><td align="left" rowspan="1" colspan="1">34 (23.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Able to read parts of a sentence</td><td align="left" rowspan="1" colspan="1">26 (17.8)</td></tr><tr><td align="left" rowspan="1" colspan="1">Able to read whole sentence</td><td align="left" rowspan="1" colspan="1">86 (58.9)</td></tr><tr><td align="left" rowspan="1" colspan="1">Electricity in the home</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">38 (25.4)</td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">112 (74.6)</td></tr><tr><td align="left" rowspan="1" colspan="1">Economic asset category<xref ref-type="table-fn" rid="nt101">*</xref></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Low</td><td align="left" rowspan="1" colspan="1">43 (28.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Medium to High</td><td align="left" rowspan="1" colspan="1">107 (71.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Screened positive for depression (Hopkins Symptoms Checklist)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">111 (74.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">39 (26.0)</td></tr><tr><td align="left" rowspan="1" colspan="1">Health status (missing = 7)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No serious illness</td><td align="left" rowspan="1" colspan="1">134 (93.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Serious illness</td><td align="left" rowspan="1" colspan="1">9 (6.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Self reported alcohol consumption in past 30 days</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">119 (79.3)</td></tr><tr><td align="left" rowspan="1" colspan="1">Some</td><td align="left" rowspan="1" colspan="1">31 (20.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">PEth</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Negative</td><td align="left" rowspan="1" colspan="1">94 (62.7)</td></tr><tr><td align="left" rowspan="1" colspan="1">Positive (≥8 ng/ml)</td><td align="left" rowspan="1" colspan="1">56 (37.3)</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="nt101"><label></label><p>*Low = bottom 2 quintiles.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3b"><title>Alcohol consumption</title><p>Overall, 21% reported consuming alcohol in the past 30 days, but 37% tested positive for PEth. Of those reporting no alcohol consumption in the prior 30 days, 25% were positive for PEth (<xref ref-type="table" rid="pone-0113152-t002">Table 2</xref>). Thirty-one patients reported use of alcohol and of these, 4 or 13% of them tested negative for PEth. Among the 60 drinkers (by self-report and/or PEth results), 31 reported having consumed alcohol, giving self-report a sensitivity of 48.2% (95% CI 34.7, 62%). The sensitivity by sex was 48.4% (95% CI 30.2, 66.9) for the men and 48% (95% CI 27.8, 68.7) for the women and the two were not statistically different from each other (Fisher's exact 2-sided p-value = 1.0).</p><table-wrap id="pone-0113152-t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0113152.t002</object-id><label>Table 2</label><caption><title>Sensitivity for self reported alcohol use, overall and by sex.</title></caption><alternatives><graphic id="pone-0113152-t002-2" xlink:href="pone.0113152.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1"></td><td colspan="3" align="left" rowspan="1"><italic>PEth</italic> results</td></tr><tr><td align="left" rowspan="1" colspan="1">Self report alcohol use, prior 30 days</td><td align="left" rowspan="1" colspan="1">Positive</td><td align="left" rowspan="1" colspan="1">Negative</td><td align="left" rowspan="1" colspan="1">Total</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Overall, n = 150</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Yes</bold></td><td align="left" rowspan="1" colspan="1">27 (48.2)</td><td align="left" rowspan="1" colspan="1">4 (4.4)</td><td align="left" rowspan="1" colspan="1"><bold>31</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>No</bold></td><td align="left" rowspan="1" colspan="1">29 (51.8)</td><td align="left" rowspan="1" colspan="1">90 (95.6)</td><td align="left" rowspan="1" colspan="1"><bold>119</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Total</bold></td><td align="left" rowspan="1" colspan="1"><bold>56</bold></td><td align="left" rowspan="1" colspan="1"><bold>94</bold></td><td align="left" rowspan="1" colspan="1"><bold>150</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Among women, n = 98</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Yes</bold></td><td align="left" rowspan="1" colspan="1">12 (48.0)</td><td align="left" rowspan="1" colspan="1">4 (5.5)</td><td align="left" rowspan="1" colspan="1"><bold>16</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>No</bold></td><td align="left" rowspan="1" colspan="1">13 (52.0)</td><td align="left" rowspan="1" colspan="1">69 (94.5)</td><td align="left" rowspan="1" colspan="1"><bold>82</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Total</bold></td><td align="left" rowspan="1" colspan="1"><bold>25</bold></td><td align="left" rowspan="1" colspan="1"><bold>73</bold></td><td align="left" rowspan="1" colspan="1"><bold>98</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Among men, n = 52</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Yes</bold></td><td align="left" rowspan="1" colspan="1">15 (48.3)</td><td align="left" rowspan="1" colspan="1">0 (0.0)</td><td align="left" rowspan="1" colspan="1"><bold>15</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>No</bold></td><td align="left" rowspan="1" colspan="1">16 (51.7)</td><td align="left" rowspan="1" colspan="1">21 (100)</td><td align="left" rowspan="1" colspan="1"><bold>37</bold></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Total</bold></td><td align="left" rowspan="1" colspan="1"><bold>31</bold></td><td align="left" rowspan="1" colspan="1"><bold>21</bold></td><td align="left" rowspan="1" colspan="1"><bold>52</bold></td></tr></tbody></table></alternatives></table-wrap></sec><sec id="s3c"><title>PEth levels by self report</title><p>Among those testing PEth positive, the median PEth value was higher among those reporting alcohol use (median = 477) compared to those who did not report any use of alcohol (median = 135.5) in the prior 30 days (Wilcoxon rank sum test p = 0.02, <xref ref-type="table" rid="pone-0113152-t003">Table 3</xref>). The difference in the medians was statistically significant among the men (p = 0.01) but not the women (p = 0.14).</p><table-wrap id="pone-0113152-t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0113152.t003</object-id><label>Table 3</label><caption><title>PEth results among those with PEth>8 ng/mL, by self-reported alcohol consumption and by sex.</title></caption><alternatives><graphic id="pone-0113152-t003-3" xlink:href="pone.0113152.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Self report alcohol use, prior 30 days</td><td align="left" rowspan="1" colspan="1">Median PEth ng/mL (25<sup>th</sup>, 75<sup>th</sup> percentile)</td><td align="left" rowspan="1" colspan="1">Wilcoxon rank sum test (Self report yes vs no)</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>Overall</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes, n = 27</td><td align="left" rowspan="1" colspan="1">477.0 (51.8, 850)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No, n = 29</td><td align="left" rowspan="1" colspan="1">135.5 (31.5, 322)</td><td align="left" rowspan="1" colspan="1"><italic>z</italic> = −2.43, <italic>p</italic> = 0.02</td></tr><tr><td align="left" rowspan="1" colspan="1">Total, n = 56</td><td align="left" rowspan="1" colspan="1"><bold>191.3 (47.4, 683)</bold></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Among women</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes, n = 12</td><td align="left" rowspan="1" colspan="1">111.2 (34.5, 608.8)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No, n = 13</td><td align="left" rowspan="1" colspan="1">31.5 (15.9, 116.0)</td><td align="left" rowspan="1" colspan="1"><italic>z</italic> = −1.46, <italic>p</italic> = 0.14</td></tr><tr><td align="left" rowspan="1" colspan="1">Total, n = 25</td><td align="left" rowspan="1" colspan="1"><bold>51.8 (19.2, 432.5)</bold></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold>Among men</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Yes, n = 15</td><td align="left" rowspan="1" colspan="1">733.5 (338.5, 1228)</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No, n = 16</td><td align="left" rowspan="1" colspan="1">191.3 (132.5, 360.3)</td><td align="left" rowspan="1" colspan="1"><italic>z</italic> = −2.53, <italic>p</italic> = 0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Total, n = 31</td><td align="left" rowspan="1" colspan="1"><bold>351.5 (136.0, 850.0)</bold></td><td align="left" rowspan="1" colspan="1"></td></tr></tbody></table></alternatives></table-wrap></sec><sec id="s3d"><title>Predictors of under-reporting</title><p>Age, level of education, health status and history of depression were not associated with alcohol under-reporting in any of the bivariate logistic regression analyses (<xref ref-type="table" rid="pone-0113152-t004">Table 4</xref>). In the entire sample, the odds of under reporting are almost three fold among men compared to women (OR = 2.93, 95%CI 1.26, 6.65), and even higher when the analysis was restricted to those not reporting any drinking (OR = 4.04, 95% CI 1.67, 9.74). The odds of under-report were 60% lower in the high/medium asset category compared to the low one (OR = 0.41, 95% CI 0.17, 0.94). Among drinkers, there was no significant association between gender and under-report (OR = 1.33 and 95% CI 0.48, 3.62). The odds of under-reporting were lower among those with partial literacy compared to no ability to read a sentence in the entire sample (OR = 0.17 and 95% CI 0.03, 0.87) and among those not reporting drinking (OR = 0.17 and 95% CI 0.03, 0.89).</p><table-wrap id="pone-0113152-t004" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0113152.t004</object-id><label>Table 4</label><caption><title>Bivariate logistic regression to determine the predictors of under-reporting alcohol use.</title></caption><alternatives><graphic id="pone-0113152-t004-4" xlink:href="pone.0113152.t004"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Characteristic</td><td align="left" rowspan="1" colspan="1">Under-report* in the entire sample (29 of 150) OR(95% CI)</td><td align="left" rowspan="1" colspan="1">Under-report* among drinkers (Self-reported and/or PEth positive) (29 of 60) OR(95% CI)</td><td align="left" rowspan="1" colspan="1">Under-report* among those not reporting drinking (29 of 119) OR (95% CI)</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Gender</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td align="left" rowspan="1" colspan="1"><bold>2.93 (1.26, 6.65)</bold></td><td align="left" rowspan="1" colspan="1">1.33 (0.48, 3.62)</td><td align="left" rowspan="1" colspan="1"><bold>4.04 (1.67, 9.74)</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Age</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">18–30</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">31–45</td><td align="left" rowspan="1" colspan="1">1.12 (0.43, 2.64)</td><td align="left" rowspan="1" colspan="1">0.94 (0.31, 2.85)</td><td align="left" rowspan="1" colspan="1">1.11 (0.44, 2.84)</td></tr><tr><td align="left" rowspan="1" colspan="1">Over 45</td><td align="left" rowspan="1" colspan="1">1.74 (0.56, 5.55)</td><td align="left" rowspan="1" colspan="1">2.36 (0.48, 11.72)</td><td align="left" rowspan="1" colspan="1">1.64 (0.51, 5.31)</td></tr><tr><td align="left" rowspan="1" colspan="1">Education</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Primary school</td><td align="left" rowspan="1" colspan="1">0.42 (0.16,1.14)</td><td align="left" rowspan="1" colspan="1">0.45 (0.12, 1.68)</td><td align="left" rowspan="1" colspan="1">0.41 (0.15, 1.16)</td></tr><tr><td align="left" rowspan="1" colspan="1">Secondary and above</td><td align="left" rowspan="1" colspan="1">0.39 (0.13, 1.23)</td><td align="left" rowspan="1" colspan="1">0.38 (0.09, 1.67)</td><td align="left" rowspan="1" colspan="1">0.40 (0.12, 1.31)</td></tr><tr><td align="left" rowspan="1" colspan="1">Literacy</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Cannot read a sentence</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Read parts of a sentence</td><td align="left" rowspan="1" colspan="1"><bold>0.17 (0.03, 0.87)</bold></td><td align="left" rowspan="1" colspan="1">0.18 (0.03, 1.19)</td><td align="left" rowspan="1" colspan="1"><bold>0.17 (0.03, 0.89)</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Read a whole sentence</td><td align="left" rowspan="1" colspan="1">0.41 (0.16, 1.01)</td><td align="left" rowspan="1" colspan="1">0.42 (0.13, 1.43)</td><td align="left" rowspan="1" colspan="1">0.40 (0.15, 1.04)</td></tr><tr><td align="left" rowspan="1" colspan="1">Own land</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">0.62 (0.27, 1.38)</td><td align="left" rowspan="1" colspan="1">0.67 (0.24, 1.86)</td><td align="left" rowspan="1" colspan="1">0.59 (0.255, 1.38)</td></tr><tr><td align="left" rowspan="1" colspan="1">Electricity in the home</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">1.26 (0.46, 2.82)</td><td align="left" rowspan="1" colspan="1">1.09 (0.35, 3.44)</td><td align="left" rowspan="1" colspan="1">1.18 (0.45, 3.03)</td></tr><tr><td align="left" rowspan="1" colspan="1">Economic asset category</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Low</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Medium to High</td><td align="left" rowspan="1" colspan="1"><bold>0.41 (0.17, 0.94)</bold></td><td align="left" rowspan="1" colspan="1">0.58 (0.21, 1.67)</td><td align="left" rowspan="1" colspan="1"><bold>0.35 (0.14, 0.85)</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Screened positive for depression (Hopkins Symptoms Checklist)</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">No</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Yes</td><td align="left" rowspan="1" colspan="1">0.88(0.34, 2.27)</td><td align="left" rowspan="1" colspan="1">0.91 (0.28, 2.95)</td><td align="left" rowspan="1" colspan="1">0.88 (0.33, 2.31)</td></tr><tr><td align="left" rowspan="1" colspan="1">Health status (serious illness)</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td><td align="left" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" rowspan="1" colspan="1">Present</td><td align="left" rowspan="1" colspan="1">1.13 (0.22, 5.76)</td><td align="left" rowspan="1" colspan="1">1.78 (0.15, 20.86)</td><td align="left" rowspan="1" colspan="1">0.97 (0.18, 5.12)</td></tr><tr><td colspan="4" align="left" rowspan="1">*Under-report defined as PEth+ but no self-reported drinking in the prior 30 days</td></tr></tbody></table></alternatives></table-wrap></sec><sec id="s3e"><title>Quantitative results</title><p>The median values for PEth and for self-reported measures of alcohol consumption among those reporting any alcohol consumption are reported in <xref ref-type="table" rid="pone-0113152-t005">Table 5</xref>, along with the Spearman correlations between self-reported alcohol consumption and PEth. PEth was significantly correlated with the total number of days of drinking in the past 30 days (Spearman correlation = 0.73, p<0.01), the total number of drinks in the past 30 days (Spearman correlation = 0.72, p<0.01), and the amount of money spent on alcohol (Spearman correlation = 0.43, p = 0.02).</p><table-wrap id="pone-0113152-t005" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0113152.t005</object-id><label>Table 5</label><caption><title>Measures of alcohol consumption and correlations with PEth, among those reporting any alcohol consumption, prior 30 days (n = 31).</title></caption><alternatives><graphic id="pone-0113152-t005-5" xlink:href="pone.0113152.t005"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Measure of alcohol consumption</td><td align="left" rowspan="1" colspan="1">Median (25<sup>th</sup>, 75<sup>th</sup> percentile)</td><td align="left" rowspan="1" colspan="1">Spearman correlation with PEth value</td><td align="left" rowspan="1" colspan="1">p value</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">PEth (ng/mL)</td><td align="left" rowspan="1" colspan="1">405.5 (37.1, 796.5)</td><td align="left" rowspan="1" colspan="1">–</td><td align="left" rowspan="1" colspan="1">–</td></tr><tr><td align="left" rowspan="1" colspan="1">Number of days drinking</td><td align="left" rowspan="1" colspan="1">3.0 (2.0, 8.0)</td><td align="left" rowspan="1" colspan="1">0.73</td><td align="left" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Typical number of drinks per drinking day<xref ref-type="table-fn" rid="nt102">*</xref></td><td align="left" rowspan="1" colspan="1">3.5 (2.5, 7.0)</td><td align="left" rowspan="1" colspan="1">0.35</td><td align="left" rowspan="1" colspan="1">0.09</td></tr><tr><td align="left" rowspan="1" colspan="1">Total number of drinks (# days drinking x # drinks per drinking day)<xref ref-type="table-fn" rid="nt102">*</xref></td><td align="left" rowspan="1" colspan="1">10.5 (6, 40)</td><td align="left" rowspan="1" colspan="1">0.72</td><td align="left" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Total amount of money spent on alcohol (USD)</td><td align="left" rowspan="1" colspan="1">4.0 (1.2, 10)</td><td align="left" rowspan="1" colspan="1">0.43</td><td align="left" rowspan="1" colspan="1">0.02</td></tr><tr><td align="left" rowspan="1" colspan="1">Number of days drinking until uninhibited or more intoxicated</td><td align="left" rowspan="1" colspan="1">0 (0,0)</td><td align="left" rowspan="1" colspan="1">0.24</td><td align="left" rowspan="1" colspan="1">0.19</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="nt102"><label></label><p>*n = 24 due to missing values for those drinking from shared or non-standard vessels.</p></fn></table-wrap-foot></table-wrap></sec></sec><sec id="s4"><title>Discussion</title><p>Our study used a sensitive and specific alcohol biomarker to demonstrate that a high proportion of clients initiating ART at an HIV clinic at a large urban center in Uganda under-report their alcohol consumption. At the time of study recruitment, HIV clinic patients received counseling for at least 2 weekly sessions before initiation of therapy; this counseling included instructions to avoid alcohol consumption while on treatment. It is therefore not surprising that a significant proportion of patients under-reported their alcohol consumption. This is likely because of social desirability bias. Other authors have noted this concern. <xref rid="pone.0113152-Papas1" ref-type="bibr">[14]</xref>, <xref rid="pone.0113152-Morris1" ref-type="bibr">[24]</xref> Our findings are consistent with our previous study in which we used %carbohydrate specific transferrin (%CDT), a biomarker for heavy alcohol use to examine under-reporting. <xref rid="pone.0113152-Hahn4" ref-type="bibr">[25]</xref> In that study, we found that 7% of those denying alcohol use were %CDT positive, a percent lower than found here but likely due to the low sensitivity of %CDT. <xref rid="pone.0113152-Bergstrom1" ref-type="bibr">[26]</xref> This study adds to the literature by using PEth, a more sensitive marker, demonstrating that 25% of those denying recent use were PEth positive and slightly over 50% of those who were PEth positive denied recent use.</p><p>Gender and economic asset index were significant predictors of under-reporting alcohol use overall and among those not reporting alcohol use. To the best of our knowledge, no other studies have demonstrated this before. Among drinkers, men were no more likely than women to under report. The high prevalence of alcohol use warrants screening for all patients, however the results suggest that men and particularly those with fewer assets may need more scrutiny for possible under-reporting if they deny any alcohol use. These patients may need reassurance that disclosure of alcohol use will in no way jeopardize their chances of initiating ART. Currently, clinics in Uganda do not have any strategies in place to reduce under-reporting. No other characteristic was associated with under-reporting alcohol use.</p><p>Our data also show a strong correlation between PEth and self-report measures of alcohol consumption among those who did report any alcohol consumption. The number of days of drinking in the past 30 days showed the strongest correlation (Spearman = 0.73) with the quantitative PEth result. This suggests that among those reporting any recent alcohol consumption, reporting of the frequency of consuming alcohol is highly valid, and also suggests that PEth may be a useful quantitative measure when self-report is unavailable or difficult to obtain. It is also notable that even among self-reported drinkers, the level of alcohol consumption was fairly low, with a median of 3 drinking days in the prior month. This is consistent with our previous findings of a large number of drinkers reporting reducing their alcohol consumption at the time of ART initiation in a previous wave of this same cohort <xref rid="pone.0113152-Santos1" ref-type="bibr">[27]</xref>. Our data shows low correlation between number of days drinking until intoxicated and typical number of drinks per day with PEth probably because of under-report. However, the low correlation does not necessarily mean these measures are less useful.</p><p>PEth was detectable though results were significantly lower among those not reporting any alcohol consumption. This may imply that under-reporters may be lighter drinkers than those reporting drinking. In an analysis stratified by gender, the difference remained statistically significant among men but not the women. This may imply that women drinkers have similar levels of alcohol consumption whether they under-report or correctly report their alcohol consumption. However, this may be because of the small sample size. Also, because the women's PEth values are lower overall, even among those reporting alcohol use, their data represents the end of the scale where the difference is small. Regardless, the level of PEth was high among all those with detectable PEth, with a median of 191 ng/ml, which is well above the recent cutoff of 80 ng/ml which indicated drinking> = 4 drinks daily in a recent study among a group of patients with liver disease <xref rid="pone.0113152-Stewart1" ref-type="bibr">[28]</xref>.</p><p>Our study has some weaknesses. PEth may not be completely sensitive and specific, therefore we may have under or over-estimated under-report. Secondly, there were some who reported drinking but were PEth negative, although these were very few. Our self-report measure spans 30 days while the biomarker spans 21 days; hence self-report may have reflected alcohol use beyond the window detectable by PEth. Also, it is still unclear whether PEth when assessed using LC/MS/MS is measuring any alcohol use or heavy alcohol use. <xref rid="pone.0113152-Isaksson1" ref-type="bibr">[29]</xref> We took a conservative approach and used positive PEth results to suggest any alcohol use; however, it is possible that some PEth negatives may have consumed alcohol although moderately. This is supported by a recent study where participants with a negative PEth and reporting alcohol use were mainly light drinkers. <xref rid="pone.0113152-Stewart1" ref-type="bibr">[28]</xref></p><p>Our study also warrants the necessity for clinicians to screen HIV infected patients initiating ART for alcohol use, especially in countries such as Uganda where alcohol consumption is high among drinkers. 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|étape= Corpus
|type= RBID
|clé= PMC:4249861
|texte= Comparison of Self-Reported Alcohol Consumption to Phosphatidylethanol Measurement among HIV-Infected Patients Initiating Antiretroviral Treatment in Southwestern Uganda
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i -Sk "pubmed:25436894" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a SidaSubSaharaV1
| This area was generated with Dilib version V0.6.32. |  |