Evidence map›Paper›PMID 24020613›Full record

ArticleBMC public health2013

Consistent condom use with regular, paying, and casual male partners and associated factors among men who have sex with men in Tamil Nadu, India: findings from an assessment of a large-scale HIV prevention program.

Shreena Ramanathan, Venkatesan Chakrapani, Lakshmi Ramakrishnan, Prabuddhagopal Goswami, Diwakar Yadav, Thilakavathi Subramanian, Bitra George, Ramesh Paranjape

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
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  3. An Evidence-Based Approach to Facilitating PrEP Initiation Among YMSM: The MyPEEPS Plus mHealth and E-Peer Navigation Intervention.AIDS education and prevention : official publication of the International Society for AIDS Education · 2026
    Article
  4. Article
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  7. Inconsistent condom use with casual partners among men who have sex with men in Brazil: a cross-sectional study.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
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  18. Sexual Relationships, Behaviors, and Experiences among Bisexual Men in Mumbai, India.International journal of sexual health : official journal of the World Association for Sexual Health · 2016
    Article
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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

8 authors at 3 institutions in 1 country.

Shreena RamanathanFHI 360 India, H-5 (Ground Floor), Green Park Extension, New Delhi 110016, India. sramanathan@fhi360.org.
Venkatesan Chakrapani
Lakshmi Ramakrishnan
Prabuddhagopal Goswami
Diwakar Yadav
Thilakavathi Subramanian
Bitra George
Ramesh Paranjape
Centre for Sexuality and Health Research and Policy · INNational AIDS Research Institute · INNational Institute of Epidemiology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen who have sex with men (MSM) are a marginalized population at high risk for HIV infection. Promoting consistent condom use (CCU) during anal sex is a key risk reduction strategy for HIV prevention among MSM. To inform effective HIV prevention interventions, we examined the factors associated with CCU among MSM with their regular, paying, and casual partners, as well as with all three types of partners combined.

methodsData for this analysis were from a large-scale bio-behavioural survey conducted during 2009-2010 in Tamil Nadu, India. MSM aged 18 years or older were recruited for the survey using time-location cluster sampling at cruising sites in four districts of Tamil Nadu. Binary logistic regression analyses were conducted to assess the association of CCU with selected socio-demographic characteristics and other contextual factors.

resultsAmong 1618 MSM interviewed, CCU during anal sex with regular, paying, and a casual male partner was 45.3%, 50.8% and 57.9%, respectively. CCU with all three types of partners combined was 52.6%. Characteristics associated with increased odds for CCU with MSM having all three types of partners combined were frequent receptive anal sex acts with regular partners (adjusted odds ratio [AOR] 2.17, 95% confidence interval [CI] 1.01-4.65), fewer number of casual partners (AOR 3.41, 95% CI 1.50-7.73) and membership in a community-based organization (CBO) for MSM (AOR 3.54, 95% CI 1.62-7.74). CCU with regular partners was associated with membership in a CBO (AOR 1.96, 95% CI 1.23-3.11), whereas CCU with paying, and casual male partners was associated with perceived higher risk of acquiring HIV (AOR 1.92, 95% CI 1.22-3.01) and exposure to any HIV prevention intervention (AOR 3.62, 95% CI 1.31-10.0), respectively. Being aged 26 years or older, being in debt, and alcohol use were factors associated with inconsistent condom use across partner types.

conclusionHIV interventions among MSM need to promote CCU with all types (regular, paying, and causal) of male partners, and need to reach MSM across all age groups. In addition to enhancing interventions that focus on individual level risk reduction, it is important to undertake structural interventions that promote social acceptance of same-sex sexuality and address contextual barriers to condom use such as alcohol use.

Indexed as

AdultAge FactorsCondomsConfidence IntervalsCross-Sectional StudiesHealth Knowledge, Attitudes, PracticeHealth PromotionHIV InfectionsHomosexuality, MaleHumansIncidenceIndiaLogistic ModelsMaleMiddle AgedPatient Compliance

Identifiers

PMID24020613
PMCPMC3854867
OpenAlexW2148644892

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.