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Record W3011594792 · doi:10.1080/17441692.2020.1739729

Beyond biomedical and comorbidity approaches: Exploring associations between affinity group membership, health and health seeking behaviour among MSM/MSW in Nairobi, Kenya

2020· article· en· W3011594792 on OpenAlexafffund
Monika Doshi, Pascal Macharia, John Mathenge, Helgar Musyoki, K. Rivet Amico, Parinita Battacharjee, James Blanchard, Sushena Reza‐Paul, Lyle R. McKinnon, Joshua Kimani, Robert Lorway

Bibliographic record

VenueGlobal Public Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsPsychosocialComorbidityQuality of life (healthcare)PopulationMedicineMen who have sex with menClinical psychologyHuman immunodeficiency virus (HIV)GerontologyPsychologyEnvironmental healthDemographyPsychiatryFamily medicineSociology

Abstract

fetched live from OpenAlex

We explored general health and psychosocial characteristics among male sex workers and other men who have sex with men in Nairobi, Kenya. A total of 595 MSM/MSW were recruited into the study. We assessed group differences among those who self-reported HIV positive (SR-HIVP) and those who self-reported HIV negative (SR-HIVN) and by affinity group membership. Quality of life among SR-HIVP participants was significantly worse compared to SR-HIVN participants. Independent of HIV status and affinity group membership, participants reported high levels of hazardous alcohol use, harmful substance use, recent trauma and childhood abuse. The overall sample exhibited higher prevalence of moderate to severe depressive symptoms compared to the general population. Quality of life among participants who did not report affinity group membership (AGN) was significantly worse compared to participants who reported affinity group membership (AGP). AGN participants also reported significantly lower levels of social support. Membership in affinity groups was found to influence health seeking behaviour. Our findings suggest that we need to expand the mainstay biomedical and comorbidity focused research currently associated with MSM/MSW. Moreover, there are benefits to being part of MSM/MSW organisations and these organisations can potentially play a vital role in the health and well-being of MSM/MSW.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.260
GPT teacher head0.364
Teacher spread0.104 · 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 teacher head, not a consensus.

Study designObservational
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

Citations15
Published2020
Admission routes2
Has abstractyes

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