Evidence map›Paper›PMID 34343080›Full record

ArticleJournal of studies on alcohol and drugs2021

Heavy Alcohol Use Among Women and Men Living With HIV in Uganda, Russia, and the United States.

Natalia Gnatienko, Katherine Calver, Meg Sullivan, Leah S Forman, Timothy Heeren, Elena Blokhina, Nneka Emenyonu, Alicia S Ventura, Judith I Tsui, Winnie R Muyindike and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Incident Tuberculosis Infection Is Associated With Alcohol Use in Adults in Rural Uganda.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Natalia GnatienkoDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center, Clinical Addiction Research and Education (CARE) Unit, Boston, Massachusetts.
Katherine CalverDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center, Clinical Addiction Research and Education (CARE) Unit, Boston, Massachusetts.
Meg SullivanDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine/Boston Medical Center, Boston, Massachusetts.
Leah S FormanBiostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, Massachusetts.
Timothy HeerenDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Elena BlokhinaFirst Pavlov State Medical University of St. Petersburg, St. Petersburg, Russian Federation.
Nneka EmenyonuDepartment of Medicine, University of California San Francisco, San Francisco, California.
Alicia S VenturaDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center, Clinical Addiction Research and Education (CARE) Unit, Boston, Massachusetts.
Judith I TsuiDepartment of Medicine, Section of General Internal Medicine, University of Washington School of Medicine and Harborview Hospital, Seattle, Washington.
Winnie R MuyindikeDepartment of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Robin FatchDepartment of Medicine, University of California San Francisco, San Francisco, California.
Christine NgabiranoDepartment of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Carly BriddenDepartment of Medicine, Section of General Internal Medicine, Boston Medical Center, Clinical Addiction Research and Education (CARE) Unit, Boston, Massachusetts.
Kendall BryantHIV/AIDS Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland.
Angela R BazziDepartment of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts.
Judith A HahnDepartment of Medicine, University of California San Francisco, San Francisco, California.
Boston Medical Center · USBoston University · USUniversity of California, San Francisco · USHarborview Medical Center · USFirst Pavlov State Medical University of St. Petersburg · RUMbarara National Referral Hospital · UGNational Institutes of Health · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
URBAN ARCH (5/5) Boston Cohort - Alcohol and HIV-associated comorbidity and complications: Frailty, Functional impairment, Falls, and Fractures (the 4F study)U01AA020784 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HEEREN, TIMOTHY C., KIM, THERESA W · 2011 to 2021
$6.4M
URBAN ARCH (3/5) Uganda Cohort TB preventive therapy for HIV-infected alcohol users in Uganda: an evaluation of safety tolerability and adherenceU01AA020776 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2011 to 2021
$4.7M
URBAN ARCH 4/5 Russia Cohort-Targeting HIV-comorbidities with Pharmacotherapy to Reduce Alcohol and Tobacco Use in HIV-infected RussiansU01AA020780 · NIAAA · BOSTON MEDICAL CENTER · PI FREIBERG, MATTHEW S, SAMET, JEFFREY H. · 2011 to 2021
$4.4M
URBAN ARCH (2/5) Biostatistics and Data Management Core (BDM)U24AA020779 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHENG, DEBBIE M. · 2011 to 2020
$3.6M
URBAN ARCH (1/5) Administrative Coordinating Core (Admin Core)U24AA020778 · NIAAA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2011 to 2020
$3.5M
Zinc for HIV Disease among Alcohol Users -An RCT in the Russia ARCH CohortU01AA021989 · NIAAA · BOSTON MEDICAL CENTER · PI FREIBERG, MATTHEW S, SAMET, JEFFREY H. · 2012 to 2016
$3.3M
Training in Research Program on Alcohol Use by Persons with our at Risk for HIVK24AA022586 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2013 to 2023
$1.8M
NIAAA NIH HHS K24 AA022586NIAAA NIH HHS U01 AA020776NIAAA NIH HHS U01 AA020780NIAAA NIH HHS U01 AA020784NIAAA NIH HHS U01 AA021989NIAAA NIH HHS U24 AA020778NIAAA NIH HHS U24 AA020779NIAID NIH HHS P30 AI042853
6 · The paper itself

Abstract

objectiveWe examined whether gender is associated with heavy drinking in three cohorts of people living with HIV (PLWH) in Mbarara, Uganda; St. Petersburg, Russia; and Boston, Massachusetts.

methodWe conducted secondary analyses of baseline data collected from three cohorts in the Uganda Russia Boston Alcohol Network for Alcohol Research Collaboration on HIV/AIDS (URBAN ARCH) consortium. We used multiple logistic regression models to evaluate the association between gender and heavy drinking (defined in combination with self-report and phosphatidylethanol [PEth]) within each cohort.

resultsIn unadjusted logistic regression models, we found no significant association between gender and heavy drinking in Russia or Boston. In Uganda, women were less likely than men to engage in heavy drinking (odds ratio = 0.38, 95% CI [0.26, 0.58],

conclusionsWe did not detect associations between gender and heavy drinking in cohorts of PLWH in Russia or Boston, suggesting that heavy drinking may be as common in women living with HIV as in men living with HIV in these locations. Although these cohorts were enriched with heavy drinking participants, which limits broad extrapolation to PLWH in those settings, nonetheless the findings are concerning given the significant morbidity associated with alcohol use among PLWH and women in particular.

Indexed as

HIV InfectionsAlcohol DrinkingCohort StudiesFemaleHumansMaleRussiaUgandaUnited States

Identifiers

PMID34343080
PMCPMC8356791
OpenAlexW3189768368

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.