Evidence map›Paper›PMID 27550626›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2017

Using Integrative Data Analysis to Examine Changes in Alcohol Use and Changes in Sexual Risk Behavior Across Four Samples of STI Clinic Patients.

Jennifer L Walsh, Lance S Weinhardt, Seth C Kalichman, Michael P Carey

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 8 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

4 authors at 4 institutions in 1 country.

Jennifer L WalshCenters for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA. jwalsh@mcw.edu.
Lance S WeinhardtDepartment of Community and Behavioral Health Promotion, Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Seth C KalichmanDepartment of Psychology, University of Connecticut, Storrs, CT, USA.
Michael P CareyCenters for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA.
Brown University · USMedical College of Wisconsin · USUniversity of Connecticut · USUniversity of Wisconsin–Milwaukee · US

Funding

QUANTITATIVE COREP30MH052776 · NIMH · MEDICAL COLLEGE OF WISCONSIN · PI KELLY, JEFFREY A · 1994 to 2018
$33.2M
HIV PREVENTION FOR STD CLINIC PATIENTSR01MH068171 · NIMH · SYRACUSE UNIVERSITY · PI CAREY, MICHAEL P · 2003 to 2013
$5.6M
Combining HIV and Alcohol Interventions in STD ClinicsR01AA013567 · NIAAA · MEDICAL COLLEGE OF WISCONSIN · PI WEINHARDT, LANCE S · 2001 to 2004
$2.6M
BRIEF HIV RISK REDUCTION COUNSELINGR01MH061672 · NIMH · UNIVERSITY OF CONNECTICUT STORRS · PI KALICHMAN, SETH C · 2000 to 2002
$1.9M
Integrative Data Analysis of HIV Prevention TrialsK01MH099956 · NIMH · MIRIAM HOSPITAL · PI WALSH, JENNIFER LYNN · 2013 to 2017
$793k
NIAAA NIH HHS R01 AA013567NIMH NIH HHS K01 MH099956NIMH NIH HHS P30 MH052776NIMH NIH HHS R01 MH061672NIMH NIH HHS R01 MH068171
6 · The paper itself

Abstract

backgroundPatients in sexually transmitted infection (STI) clinics report high levels of alcohol use, which are associated with risky sexual behavior. However, no studies have examined how changes in alcohol use relate to changes in sexual risk behavior. PURPOSE: We used parallel process latent growth modeling to explore how changes in alcohol use related to changes in sexual behavior across four samples of clinic patients.

methodsPatients participating in HIV prevention trials from urban clinics in the Northeastern and Midwestern USA (N = 3761, 59 % male, 72 % Black) completed measures at 3-month intervals over 9-12 months. Integrative data analysis was used to create composite measures of alcohol use across samples. Sexual risk measures were counts of partners and unprotected sex acts. Parallel process models tested whether alcohol use changes were correlated with changes in the number of partners and unprotected sex.

resultsGrowth models with good fit showed decreases that slowed over time in sexual risk behaviors and alcohol use. Parallel process models showed positive correlations between levels of (rs = 0.17-0.40, ps < 0.001) and changes in (rs = 0.21-0.80, ps < 0.05) alcohol use and number of sexual partners across studies. There were strong associations between levels of (rs = 0.25-0.43, ps < 0.001) and changes in (rs = 0.24-0.57, ps < 0.01) alcohol use and unprotected sex in one study recruiting hazardous drinkers.

conclusionsAcross four samples of clinic patients, reductions in alcohol use were associated with reductions in the number of sexual partners. HIV prevention interventions may be strengthened by addressing alcohol use.

Indexed as

Models, PsychologicalRisk-TakingAdultAlcohol DrinkingFemaleHumansMaleMiddle AgedSexual BehaviorSexually Transmitted DiseasesUnsafe SexYoung AdultAlcohol useIntegrative data analysisSexual behaviorSexually transmitted infections

Identifiers

PMID27550626
PMCPMC5253099
OpenAlexW2517862751

What OpenQuestion holds

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LicenceTDM
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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.