MétaCan
Menu
Back to cohort
Record W2101859734 · doi:10.1108/eihsc-10-2013-0034

Sexual health determinants in black men-who-have-sex-with-men living in Toronto, Canada

2013· article· en· W2101859734 on OpenAlexaffabout
Clemon George, Lydia Makoroka, Winston Husbands, Barry D. Adam, Robert S. Remis, Sean B. Rourke, Stanley Read

Bibliographic record

VenueEthnicity and Inequalities in Health and Social Care · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsHospital for Sick ChildrenPublic Health OntarioUniversity of TorontoUniversity of WindsorAIDS Committee of TorontoOntario Tech University
Fundersnot available
KeywordsCondomMen who have sex with menDemographyEthnic groupReproductive healthMedicineGerontologyPsychologyPopulationHuman immunodeficiency virus (HIV)SociologyFamily medicine

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to develop a profile of the sexual behavioural characteristics of black men who have sex with men (MSM) in the Greater Toronto Area (GTA), Canada who constitute a unique mixture in terms of background, race, ethnicity, and culture. Having a profile of the sexual health and risk taking behaviours of these men is important since it provides information on these black Canadian men in comparison other black MSM. Design/methodology/approach – Data were collected as part of a cross-sectional study of black MSM in GTA. Survey participants completed a questionnaire requesting information on socio-demographic characteristics, sexual behaviour, general and mental health, and awareness of social marketing strategies for gay men. The study was conducted in 2007-2008, through convenience sampling. Based on the data collected, the authors characterized the profile of black MSM with respect to sexual risk behaviours. Findings – The authors collected data on 168 black MSM. These men perceived their general health to be good. However, a large proportion of them practiced inconsistent condom use but this varied according to the ethnicity of the partner. Inconsistent condom use also varied by place of birth with Canadian-born men and Caribbean-born men less likely to consistently use condoms than African-born men. In multiple regression analysis, being born in Africa favoured condom use. Men were also more likely to practice inconsistent condoms use when the sexual partner was non-black. Further, when sex with other black men was examined, those who were older (30 years) and had not disclosed their sexuality were more likely to stop using condoms. Other variables which were expected to have associations with inconsistent condom use, based on studies in other jurisdictions – such as previous sexually transmitted infections, sex with women, sex while travelling, and drug use were not related to inconsistent condom use. Research limitations/implications – While the survey data were based on a relatively small sample size and may not be representative of the entire black MSM population in the GTA, it provides a basis for ongoing and targeted support for black MSM particularly those born in Canada. Older men who are not open with their sexuality may be at a risk of acquiring or transmitting HIV. Future research should focus on these men. Originality/value – This report provides a perspective on the sexual health and risk taking behaviours of black MSM in Canada. This is particularly important since their social history and health determinants are different from those of US African Americans. The results will stimulate further research targeting this group, and support HIV programmes and services for these men.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.379
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueEthnicity and Inequalities in Health and Social CareSame topicHIV/AIDS Research and InterventionsFrench-language works237,207