Evidence map›Paper›PMID 33125397›Full record

ArticlePloS one2020

Prevalence and correlates of men's and women's alcohol use in agrarian, trading and fishing communities in Rakai, Uganda.

Jennifer A Wagman, Dorean Nabukalu, Amanda P Miller, Maria J Wawer, Robert Ssekubugu, Hadijja Nakowooya, Betty Nantume, Eunhee Park, Judith A Hahn, David M Serwadda and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Mixed-methods community assessment of drowning and water safety knowledge and behaviours on Lake Victoria.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

13 authors at 5 institutions in 2 countries.

Jennifer A WagmanDepartment of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0002-9957-1932
Dorean NabukaluRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.ORCID 0000-0002-2680-0669
Amanda P MillerDivision of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, School of Medicine, La Jolla, California, United States of America.ORCID 0000-0002-2252-6973
Maria J WawerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Robert SsekubuguRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Hadijja NakowooyaRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Betty NantumeRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Eunhee ParkDepartment of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America.
Judith A HahnDivision of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco School of Medicine, San Francisco, California, United States of America.
David M SerwaddaRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Nelson K SewankamboRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.ORCID 0000-0001-9362-053X
Fred NalugodaRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Godfrey KigoziRakai Health Sciences Program / Uganda Virus Research Institute, Kalisizo, Uganda.
Rakai Health Sciences Program · UGUniversity of California, Los Angeles · USJohns Hopkins University · USUniversity of California San Diego · USUniversity of California, San Francisco · US

Funding

Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Evaluating Demand Generation (Stylish Man) for HIV/Family Planning Services RakaiR01AI114438 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2014 to 2017
$3.0M
Prevention and Planning LinkagesR01HD072695 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SANTELLI, JOHN S. · 2012 to 2016
$2.2M
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
Alcohol Epidemiology and Pilot Intervention to Reduce Alcohol, IPV and HIV in Women in UgandaK01AA024068 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WAGMAN, JENNIFER ANN · 2015 to 2019
$917k
Assessing the role of alcohol and intimate partner violence on HIV care and viral suppression in UgandaF31AA028198 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILLER, AMANDA PEARL · 2019 to 2020
$68k
CGH CDC HHS U2G GH000817NIAAA NIH HHS F31 AA028198NIAAA NIH HHS K01 AA024068NIAAA NIH HHS K24 AA022586NIAID NIH HHS R01 AI114438NICHD NIH HHS R01 HD072695NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

introductionUganda has one of the highest rates of alcohol use in sub-Saharan Africa but prevalence and correlates of drinking are undocumented in the Rakai region, one of the earliest epicenters of the HIV/AIDS epidemic in East Africa.

methodsWe analyzed cross-sectional data from 18,700 persons (8,690 men, 10,010 women) aged 15-49 years, living in agrarian, trading and fishing communities and participating in the Rakai Community Cohort Study (RCCS) between March 2015 and September 2016. Logistic regression models assessed associations between past year alcohol use and sociodemographic characteristics, other drug use and HIV status, controlling for age, religion, education, occupation, marital status, and household socioeconomic status.

resultsPast year alcohol prevalence was 45%. Odds of drinking were significantly higher in men (versus women) and fishing communities (versus agrarian areas). Odds of drinking increased with age, previous (versus current) marriage and past year drug use. By occupation, highest odds of drinking were among fishermen and (in women) bar/restaurant workers. Alcohol-related consequences were more commonly reported by male (vs. females) drinkers, among whom up to 35% reported alcohol dependence symptoms (e.g., unsteady gait). HIV status was strongly associated with alcohol use in unadjusted but not adjusted models.

conclusionsAlcohol use differed by gender, community type and occupation. Being male, living in a fishing community and working as a fisherman or restaurant/bar worker (among women) were associated with higher odds of drinking. Alcohol reduction programs should be implemented in Uganda's fishing communities and among people working in high risk occupations (e.g., fishermen and restaurant/bar workers).

Indexed as

AgricultureCommerceFisheriesResidence CharacteristicsAdolescentAdultAlcohol DrinkingFemaleHumansLogistic ModelsMalePrevalenceUgandaYoung Adult

Identifiers

PMID33125397
PMCPMC7598464
OpenAlexW3095172903

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.