Evidence map›Paper›PMID 32458301›Full record

ArticleArchives of sexual behavior2021

The Disaggregated Repeated Measures Design: A Novel Approach to Assess Sexual Risk Behaviors.

Yue Pan, Lisa R Metsch, Lauren K Gooden, Alejandro Max Antonio Mantero, Daniel J Feaster

Open access · greenAbstract read
In one paragraph

Article in Archives of sexual behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Yue PanDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Clinical Research Building, Room 1034, 1120 N.W. 14th St., Miami, FL, 33136, USA. panyue@med.miami.edu.ORCID http://orcid.org/0000-0001-9586-0975
Lisa R MetschDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Lauren K GoodenDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Alejandro Max Antonio ManteroDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Clinical Research Building, Room 1034, 1120 N.W. 14th St., Miami, FL, 33136, USA.
Daniel J FeasterDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Clinical Research Building, Room 1034, 1120 N.W. 14th St., Miami, FL, 33136, USA.
University of Miami · USColumbia University · US

Funding

FLORIDA NODE OF THE DRUG ABUSE CLINICAL TRIALS NETWORKU10DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI METSCH, LISA R, SZAPOCZNIK, JOSE · 2000 to 2015
$56.9M
The Florida Node Alliance of the National Drug Abuse Treatment Clinical Trials NetworkUG1DA013720 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel J Feaster, Viviana Elizabeth Horigian · 2015 to 2026
$50.6M
University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALLAN E RODRIGUEZ · 2007 to 2026
$33.8M
HIV Testing and Counseling in STD Clinics: an Adaptation of CTN 0032RC2DA028973 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FEASTER, DANIEL J · 2009 to 2010
$12.3M
Economic Analysis of Rapid HIV and HCV Testing in Drug Abuse Treatment ProgramsR01DA027379 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHACKMAN, BRUCE R · 2009 to 2021
$5.3M
Identifying Subgroups with Different Responses to HIV Risk Reduction CounselingR21DA038641 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FEASTER, DANIEL J · 2014 to 2015
$419k
NIAID NIH HHS P30 AI073961NIDA NIH HHS R01 DA027379NIDA NIH HHS R21 DA038641NIDA NIH HHS RC2 DA028973NIDA NIH HHS U10 DA013720NIDA NIH HHS UG1 DA013720
6 · The paper itself

Abstract

Although numerous studies have examined sexual and substance use behaviors that put people at risk for sexually transmitted infections including HIV, most focus on an overall measure of aggregate risk or a few simple and particular subtypes of sexual acts assessed in separate analyses. In this article, we introduce a more sensitive approach to assess how the relative characteristics of sex acts may determine the level of risk in which an individual chooses to engage. Project AWARE, a randomized clinical trial conducted among 5012 patients in nine STD clinics across the U.S., is used to illustrate the approach. Our study was guided by two aims: (1) describe a new approach to examine the count of sexual acts using a disaggregated repeated measures design and (2) show how this new approach can be used to evaluate interactions among different categories of sexual risk behaviors and other predictors of interest (such as gender/sexual orientation). Profiles of different subtypes of sexual acts in the past 6 months were assessed. Potential interactions of the characteristics associated with each subtype which resulted in up to 48 distinct subtypes of sexual risk behaviors-sex with a primary/non-primary partner; partner's HIV status; vaginal/anal sex; condom use; and substance use before or during sex act-can be examined. Specifically, we chose condom use and primary and non-primary status of partner as an application in this paper to illustrate our method. There were significantly more condomless sex acts (M = 23, SE = 0.9) and sex acts with primary partners (M = 27.1, SE = 0.9) compared to sex acts with condoms (M = 10.9, SE = 0.4, IRR = 2.10, 95% CI 1.91-2.32, p < .001) and sex acts with non-primary partner (M = 10.9, SE = 0.5, IRR = 2.5, 95% CI 2.33-2.78, p < .001). In addition, there were significant differences for the count of sexual risk behaviors among women who have sex with men (WSM), men who have sex with women (MSW) and men who have sex with men (MSM) for sex acts with and without condom use, primary and non-primary partner, and their interaction (ps = .03, < .0001, and .001, respectively). This approach extends our understanding of how people make choices among sexual behaviors and may be useful in future research on disaggregated characteristics of sex acts.

Indexed as

Risk-TakingFemaleHumansMaleSafe SexSexual BehaviorUnsafe SexGeneralized estimating equationsNegative binomial regressionRepeated measuresSexual risk behaviors

Identifiers

PMID32458301
PMCPMC7688506
OpenAlexW3032633857

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.