Evidence map›Paper›PMID 25684055›Full record

ArticleAlcoholism, clinical and experimental research2015

Heavy drinking trajectories among men who have sex with men: a longitudinal, group-based analysis.

Brandon D L Marshall, Jean A Shoveller, Christopher W Kahler, Beryl A Koblin, Kenneth H Mayer, Matthew J Mimiaga, Jacob J van den Berg, Nickolas D Zaller, Don Operario

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Jean A Shoveller
Christopher W Kahler
Beryl A Koblin
Kenneth H Mayer
Matthew J Mimiaga
Jacob J van den Berg
Nickolas D Zaller
Don Operario

Funding

HIV PREVENTION TRIALS NETWORK LEADERSHIP GROUPU01AI046749 · NIAID · FAMILY HEALTH INTERNATIONAL · PI CATES, WILLARD · 1999 to 2005
$73.5M
Harvard Medical School Vaccine Clinical Trials UnitUM1AI069412 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Lindsey Robert Baden, Daniel R. Kuritzkes · 2012 to 2026
$57.2M
Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
THE ZIMBABWE-SAN FRANCISCO HIV PREVENTION TRIALS UNITU01AI047995 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHIPATO, TSUNGAI · 2000 to 2006
$27.2M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI LIU, TAO · 2010 to 2024
$19.7M
HIV PREVENTION TRIAL UNITSU01AI048040 · NIAID · FENWAY COMMUNITY HEALTH CENTER · PI MAYER, KENNETH H · 2000 to 2007
$11.5M
STDS AND HETEROSEXUAL BRIDGING AMONG MEN WHO HAVE SEXU01AI047981 · NIAID · UNIVERSITY OF WASHINGTON · PI CELUM, CONNIE L · 2000 to 2006
$8.5M
HIV PREVENTION TRIAL UNIT (PRIDE NYC PROGRAM)U01AI048016 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EL-SADR, WAFAA M. · 2000 to 2006
$7.8M
Harvard Medical School Vaccine Clinical Trials UnitU01AI069412 · NIAID · HARVARD MEDICAL SCHOOL · PI DOLIN, RAPHAEL · 2007 to 2011
$5.4M
Minority Populations Prevention Researcher TrainingR25HD045810 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NEILANDS, TORSTEN BRIAN · 2003 to 2018
$4.3M
DOMESTIC MASTER CONTRACT FOR HIV VACCINE EFFICACY TRIALSN01AI035176 · NIAID · ABT ASSOCIATES, INC. · PI SEAGE, GEORGE R · 1993 to 2000
$2.5M
Minority Populations Resource CoreU24AA022000 · NIAAA · BROWN UNIVERSITY · PI OPERARIO, DON · 2012 to 2015
$1.9M
NIAAA NIH HHS P01 AA019072NIAAA NIH HHS P01-AA019072NIAAA NIH HHS U24 AA022000NIAAA NIH HHS U24-AA022000NIAID NIH HHS N01 AI045200NIAID NIH HHS N01-AI35176NIAID NIH HHS N01-AI45200NIAID NIH HHS P30 AI042853NIAID NIH HHS P30-AI042853NIAID NIH HHS U01 AI046749NIAID NIH HHS U01 AI047981NIAID NIH HHS U01 AI047995NIAID NIH HHS U01 AI048016NIAID NIH HHS U01 AI048040NIAID NIH HHS U01 AI069412NIAID NIH HHS U01-AI46749NIAID NIH HHS U01-AI47981NIAID NIH HHS U01-AI47995NIAID NIH HHS U01-AI48016NIAID NIH HHS U01-AI48040NIAID NIH HHS UM1 AI069412NICHD NIH HHS R25 HD045810
6 · The paper itself

Abstract

backgroundHeavy episodic drinking (HED) is associated with sexual risk behavior and HIV seroconversion among men who have sex with men (MSM), yet few studies have examined heavy drinking typologies in this population.

methodsWe analyzed data from 4,075 HIV-uninfected MSM (aged 16 to 88) participating in EXPLORE, a 48-month behavioral intervention trial, to determine the patterns and predictors of HED trajectories. HED was defined as the number of days in which ≥5 alcohol drinks were consumed in the past 6 months. Longitudinal group-based mixture models were used to identify HED trajectories, and multinomial logistic regression was used to determine correlates of membership in each group.

resultsWe identified 5 distinct HED trajectories: nonheavy drinkers (31.9%); infrequent heavy drinkers (i.e., <10 heavy drinking days per 6-month period, 54.3%); regular heavy drinkers (30 to 45 heavy drinking days per 6 months, 8.4%); drinkers who increased HED over time (average 33 days in the past 6 months to 77 days at end of follow-up, 3.6%); and very frequent heavy drinkers (>100 days per 6 months, 1.7%). Intervention arm did not predict drinking trajectory patterns. Younger age, self-identifying as white, lower educational attainment, depressive symptoms, and stimulant use were associated with reporting heavier drinking trajectories. Compared to nonheavy drinkers, participants who increased HED more often experienced a history of childhood sexual abuse (CSA). Over the study period, depressive symptomatology increased significantly among very frequent heavy drinkers.

conclusionsSocioeconomic factors, substance use, depression, and CSA were associated with heavier drinking patterns among MSM. Multicomponent interventions to reduce HED should seek to mitigate the adverse impacts of low educational attainment, depression, and early traumatic life events on the initiation, continuation, or escalation of frequent HED among MSM.

Indexed as

BisexualityHomosexuality, MaleAdolescentAdultAdult Survivors of Child AbuseAgedAged, 80 and overAge FactorsAlcohol DrinkingAlcoholismAmphetamine-Related DisordersChild Abuse, SexualCocaine-Related DisordersDepressionDisease ProgressionEducational StatusAlcoholDepressionEducational AttainmentMen Who Have Sex With MenSubstance Use

Identifiers

PMID25684055
PMCPMC4331451

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Registered trials

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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.