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Record W2311046786 · doi:10.14288/1.0076915

Risk factors and determinants of HIV and Hepatitis C prevalence and incidence among a cohort of young injection drug users

2009· article· en· W2311046786 on OpenAlexaboutno aff
Caroline Miller

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIncidence (geometry)CohortDrugHuman immunodeficiency virus (HIV)Hepatitis CCohort studyEnvironmental healthDemographyVirologyInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Objectives: The primary objectives of this study were to determine the prevalence, incidence and risk factors for HIV and Hepatitis C (HCV) infection among young (aged 13 - 24 years) injection drug users (IDUs) participating in the Vancouver Injection Drug Users Study (VIDUS). Methods: This study was a nested sub-study within the VIDUS project. The VIDUS is an open cohort consisting of over 1,400 Vancouver area IDUs. Participants must be aged 13 years and older, have injected illicit drugs at least once in the previous month and reside i n the greater Vancouver area. Enrolment into the study began in 1996, and the majority of participants were enrolled between 1996 and 1997. Since 1997, on average, 100 new study participants have been enrolled each year. At baseline and semi-annually thereafter, subjects undergo an interviewer-administered questionnaire and provide a venous blood sample for HIV and HCV antibody testing. Questionnaires are administered in English, Spanish, Mandarin, French and Cantonese and elicit information on participants' risk factors and living conditions in the previous six months. Nonparametric and multivariate regression methods were used when analyses were conducted on cross-sectional data. Longitudinal data were analyzed using person-time techniques. Results: Baseline HCV prevalence was 46% (107) and was associated with being Aboriginal, incarceration in the previous 6 months, survival sex, <100 lifetime partners, residence in the Downtown Eastside, and at least daily heroin, cocaine, or speedball injection. HCV seroconversion occurred among 37 of the youth, an incidence rate of 37.2 per person-years; the median age was 20 years and the median number of years injecting was 1.1. HCV seroconversion was independently associated with having an IDU partner and daily cocaine injection. Baseline HIV prevalence among the youth was 10% (23) and was independently associated with being female, daily cocaine injection, older age, and a greater number of years injecting. HIV seroconversion occurred among 16 youth, an incidence rate of 4.4 per person years; the median age was 22 and median number of years injecting was 3.0. HIV incidence was associated with being Aboriginal, at least daily crack or cocaine use, and <100 lifetime sexual partners. Conclusion: This sub-study was the first attempt to examine demographic characteristics and risk factors among young IDUs in a city coping with epidemic proportions of HCV and HIV among the IDU population. Young IDUs are of particular importance in terms of prevention of blood-borne infections. Relative to older IDUs, younger IDUs have lower prevalence of HIV and HCV but alarmingly high incidence rates, particularly among female and Aboriginal youth. The window of opportunity to act is short, and preventive actions are urgently required. This study has provided important clues where resources need to be targeted.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.161

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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