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Enregistrement W2322855723 · doi:10.1097/00002030-200202150-00025

HIV incidence and associated risk factors among young injection drug users

2002· article· en· W2322855723 sur OpenAlexaffabout
Cari L. Miller, Mark Tyndall, Patricia M. Spittal, Kathy Li, Nancy Laliberté, Martin T. Schechter

Notice bibliographique

RevueAIDS · 2002
Typearticle
Langueen
DomaineMedicine
ThématiqueHIV, Drug Use, Sexual Risk
Établissements canadiensUniversity of British ColumbiaAIDS Vancouver
Organismes subventionnairesnon disponible
Mots-clésMedicineIncidence (geometry)Young adultDrug injectionRisk factorDemographyCohortEpidemiologyCohort studyTransmission (telecommunications)Substance abuseHuman immunodeficiency virus (HIV)ImmunologyInternal medicinePsychiatry

Résumé

récupéré en direct d'OpenAlex

Youth are important with respect to HIV/AIDS, not only because they are at risk of infection, but it is during this period that many behaviour patterns are established that will affect their risk of infection in later life. We undertook this study to determine the rates of HIV incidence and associated risk factors among young injection drug users. Youth are of particular importance with regard to the HIV epidemic because of the window of opportunity available to prevent disease transmission. Researchers have noted that HIV infection among injection drug users (IDU) is associated with younger age and a fewer number of years injecting [1,2]. Studies have found that young female IDU are at higher risk of HIV than young male IDU [3,4]. Other studies have noted that important predictors of HIV positivity among young injectors include: cocaine and speedball injection and smoking crack cocaine [5,6]. In a recent study of young injectors, Doherty et al. [6] found that HIV incidence was associated with injecting cocaine and smoking crack cocaine daily, although there were very few cases of incident HIV during their study period. We undertook this study to determine the rates and risk factors for incident HIV infection among young injectors in a city where an explosive and ongoing HIV epidemic has occurred among IDU. Data were collected through an open cohort study, the Vancouver Injection Drug Users Study from May 1996. Participants were eligible to enrol if they had injected in the previous month and were residents of the lower mainland of Vancouver. At baseline and every 6 months, participants were eligible to complete an interviewer-administered questionnaire eliciting questions concerning sociodemographic, drug use and sexual patterns as well as testing through venous blood sample for HIV and hepatitis C. For the current analysis, youth were defined as those participants in the cohort who were 24 years of age or younger at enrolment. A nested case–control study using prospective data was undertaken to compare sociodemographic and risk factors for HIV incident youth cases versus HIV-negative youth controls (see Table 1). Risk factors for the cases were measured using behaviour data from the questionnaire administered in the 6 months before seroconversion occurred. Controls were matched with cases on the basis of age and questionnaire time period. The data were compared using contingency table analysis. All reported P values were two sided.Table 1: Comparison of sociodemographic characteristics, drug and sexual risk variables between seroinoincident youth cases (N = 16) and HIV-negative youth controls (N = 32). Among the 232 participants aged 24 years and less, the HIV incidence rate was 4.37 per 100 person-years. In total there were 16 incident cases over a 5 year study period. Despite limited statistical power, a number of strong associations were detected. Cases were more likely to be Aboriginal (56 versus 16%;P = 0.004), to have had more than 20 lifetime sexual partners (81 versus 47%;P = 0.00x), to inject cocaine daily (63 versus 19%;P = 0.002), and to use crack cocaine daily (63 versus 19%;P = 0.002). There was a marginal difference between cases and controls with respect to daily speedball injection (31 versus 9%;P = 0.055). Differences between the two groups with respect to engaging in sex trade work (50 versus 28%;P = 0.134), residing in unstable housing (69 versus 47%;P = 0.152), female sex (63 versus 41%;P = 0.153), and any condom use with casual sexual partners (31 versus 25%;P = 0.653) did not reach statistical significance. In a logistic regression analysis, we found that being Aboriginal (adjusted odds ratio 6.9, 95% confidence interval 1.8, 27.4;P = 0.05) remained significantly associated with HIV infection (data not shown). However, we feel that although this variable is highly important, other variables may not have reached statistical significance in multivariate models as a result of low statistical power, and we should not discount the importance of the variables detected in the case–control analysis. To our knowledge this is one of the few studies to examine time-relevant risk factors associated with HIV infection in a young and vulnerable population in a longitudinal fashion. The incidence rate of 4.37 per 100 person-years in a young population with short injection careers is alarming. Furthermore, the numerous drug and sexual vulnerabilities identified bodes poorly for the future of the epidemic unless immediate preventative action is taken. Our work raises a number of important issues. First, young Aboriginal individuals were at markedly elevated risk. Second, similar to other studies of young IDU, we found that smoking crack daily increased the risk of HIV infection [7–10]. Third, we also confirmed that the daily use of injection cocaine and speedballs were associated with HIV infection, as was a great number of lifetime sexual partners [5,6,9,11,12]. Of the HIV seroconverters, 63% occurred in female participants and 50% were among those engaging in sex trade work. The use of condoms with casual sexual partners was very low for both positive and negative youth, and over 50% reported living in unstable housing. The lack of statistical association should not negate the risks. Sex trade work has previously been shown to increase HIV vulnerability among young IDU [7,13,14]. Furthermore, a great number of sexual partners combined with low rates of condom use is a cause for concern. Other research efforts have shown that women, particularly young women, are at increased risk through sexual contact because of the increased efficacy of viral transmission from male to female sex partners [12,15]. The frequency and type of drug use engaged in by this group of young IDU demands a response from policy makers and community workers. In summary, our study found a high rate of new infections among young IDU engaged in dual drug and sexual risks. The very high proportion of young Aboriginals seroconverting is a cause for alarm. Canadian and increasingly American First Nations individuals are witnessing the rapid spread of the virus; urgent action is required to stem the tide of new infections [16,17]. In conclusion, targeted interventions are required among young IDU, which focus on young Aboriginal and female populations and take dual drug and sexual vulnerability into account. Cari L. Millera Mark Tyndalla,b Patricia Spittala,b Kathy Lia Nancy LaLibertea Martin T. Schechtera,b Acknowledgements We would like to thank the participants of the VIDUS project for taking the time to share their stories as well as the staff for all their hard work.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,599

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,282
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations20
Publié2002
Routes d'admission2
Résumé présentoui

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