Evidence map›Paper›PMID 26010719›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2015

Predictors of condom use with main and casual partners among HIV-positive men over 50.

Tyrel J Starks, Brett M Millar, Jeffrey T Parsons

Abstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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, 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

3 authors.

Tyrel J StarksDepartment of Psychology, Hunter College.
Brett M MillarThe Graduate Center of the City University of New York, Center for HIV/AIDS Educational Studies and Training.
Jeffrey T ParsonsDepartment of Psychology, Hunter College.

Funding

Intervention Targeting Substance Using Older Adults with HIVR01DA029567 · NIDA · HUNTER COLLEGE · PI PARSONS, JEFFREY T · 2010 to 2014
$2.9M
NIDA NIH HHS R01 DA029567NIDA NIH HHS R01-DA029567
6 · The paper itself

Abstract

objectiveSexual health among the growing population of older adults living with HIV has garnered increased research attention. Previous studies have identified alcohol and drug use as factors increasing rates of sexual activity and sex risk behavior in this population. However, the influence of partner type (whether main or casual) on the links between substance use and sexual behavior in older men living with HIV remains understudied and was the focus of the current study.

methodData were collected from telephone interviews with 378 men, aged 50 years or older, living with HIV and residing in the New York City area. The sample included 224 (59%) men who identified as gay or bisexual and 154 (41%) who identified as heterosexual. The majority of the sample identified as Black (66%), and the average age was 55 years. Participants reported on recent sexual behavior, substance use, and viral load/detectability status.

resultsResults of multinomial logistic regression analyses found that substance use was associated with increased rates of condomless sex with casual partners but not with main partners, whereas self-reported viral load (perceptions of immunological health) was a factor associated with condomless sex with main partners but not with casual partners.

conclusionsThe findings indicate that different factors are involved in instances of condomless sex depending on whether the partner is a main or casual partner. Research and intervention efforts aimed at reducing risk factors for older men living with HIV and their partners need to take into account the relational context of sexual behavior.

Indexed as

CondomsHIV InfectionsHumansMaleMiddle AgedRisk FactorsRisk-TakingSexual PartnersSubstance-Related Disorders

Identifiers

PMID26010719
PMCPMC4615289

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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.