Evidence map›Paper›PMID 36408717›Full record

ArticleJournal of the International AIDS Society2022

Hazardous alcohol use and HIV indicators in six African countries: results from the Population-based HIV Impact Assessments, 2015-2017.

Gregory C Chang, Christine A West, Evelyn Kim, Andrew J Low, Kathryn E Lancaster, Stephanie S Behel, Steven Y Hong, Leigh Ann Miller, Rachel Silver, George S Mgomella and 10 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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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

20 authors at 6 institutions in 3 countries.

Gregory C ChangDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-1922-025X
Christine A WestDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-1102-9602
Evelyn KimDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Lilongwe, Malawi.
Andrew J LowICAP at Columbia University, New York, New York, USA.ORCID 0000-0002-7088-4556
Kathryn E LancasterDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0003-2389-6973
Stephanie S BehelDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Steven Y HongDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Windhoek, Namibia.
Leigh Ann MillerDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Rachel SilverDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-9647-2648
George S MgomellaDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.
Jennifer ImaaDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.
Werner M MaokolaNational AIDS Control Programme, Ministry of Health, Community Development, Gender, Elderly and Children, Dar es Salaam, Tanzania.
Thomas CarpinoICAP at Columbia University, New York, New York, USA.
Gili HrusaICAP at Columbia University, New York, New York, USA.
Rachel M BrayICAP at Columbia University, New York, New York, USA.
Annie MwilaDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Lusaka, Zambia.
Godfrey MusukaICAP at Columbia University, Harare, Zimbabwe.ORCID 0000-0001-9077-4429
Christopher O'ConnellCenter for Substance Abuse Prevention, Substance Abuse and Mental Health Services Administration, Rockville, Maryland, USA.
Stephen McCrackenDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Andrew C VoetschDivision of Global HIV and TB, Center for Global Health, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USICAP Global HealthCentre for Infectious Disease Research in Zambia · ZMMinistry of Health, Community Development, Gender, Elderly and Children · TZSubstance Abuse and Mental Health Services Administration · USThe Ohio State University · US

Funding

Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
NIAID NIH HHS T32 AI102623
6 · The paper itself

Abstract

introductionHazardous alcohol use (HAU), defined as a pattern of alcohol consumption that increases the risk of harmful consequences for the user or others, is associated with an elevated risk of human immunodeficiency virus (HIV) infection and poor health outcomes. We describe the association between people living with HIV (PLHIV) who report HAU and key HIV indicators. Gaps in current literature in estimating HAU on HIV outcomes at the regional level of Eastern and Southern Africa still exist and our analysis aims to address this issue.

methodsWe used weighted pooled data (2015-2017) from the nationally representative Population-based HIV Impact Assessments among adults who provided written consent aged 18-59 years from Eswatini, Malawi, Namibia, Tanzania, Zambia and Zimbabwe. We estimated differences in the prevalence of HIV infection and The Joint United Nations Programme on HIV and AIDS (UNAIDS) 90-90-90 indicators between PLHIV by HAU status using log-binomial regression, stratified by sex. HAU was determined using the Alcohol Use Identification Test-Consumption.

resultsAmong the 9755 women and 4444 men who tested HIV positive, 6.6% of women and 21.8% of men engaged in HAU. Women who reported HAU were more likely to be HIV positive (adjusted prevalence ratio [aPR] = 1.31, 95% CI: 1.18-1.46) compared to those who did not report HAU. For the UNAIDS 90-90-90 targets, women who engaged in HAU were more likely to be unaware of their HIV-positive status (aPR = 1.22, 95% CI: 1.01-1.47) and not on antiretroviral therapy (ART) (aPR = 1.73, 95% CI: 1.26-2.37). Men who engaged in HAU were more likely to be unaware of their HIV-positive status (aPR = 1.56, 95% CI 1.39-1.76) and not on ART (aPR = 1.72, 95% CI: 1.30-2.29). No difference in viral load suppression, defined as <1000 copies/ml of HIV RNA, was seen by sex.

conclusionsPLHIV who engage in HAU were more likely to have suboptimal outcomes along the HIV care continuum when compared to those who did not engage in HAU. Targeted interventions, such as alcohol screening for HAU in HIV testing and treatment settings and HIV prevention efforts in alcohol-based venues, may help countries reach HIV epidemic control by 2030.

Indexed as

EpidemicsHIV InfectionsHIV SeropositivityAdultFemaleHIV TestingHumansMaleViral LoadZimbabwehazardous alcohol usehazardous drinkingHIV care continuumHIV epidemiologyPHIAUNAIDS 90-90-90

Identifiers

PMID36408717
PMCPMC9677379
OpenAlexW4309659655

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.