ArticleAddictive behaviors2013
Risk factor profiles among intravenous drug using young adults: a latent class analysis (LCA) approach.
Article in Addictive behaviors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Characterising people who inject drugs, and association with HIV infection: A situation analysis in Kampala City, Uganda.PLOS global public health · 2025Article
- Characterising People who inject drugs, and association with HIV infection: A Situation Analysis in Kampala city, Uganda.medRxiv : the preprint server for health sciences · 2024Article
- A Latent Class Analysis of Substance Use and Longitudinal HIV RNA Patterns Among PWH in DC Cohort.AIDS and behavior · 2024Observational
- Injection and Sexual Behavior Profiles among People Who Inject Drugs in Miami, Florida.Substance use & misuse · 2022Article
- Article
- Latent Risk Subtypes Based on Injection and Sexual Behavior Among People Who Inject Drugs in Rural Puerto Rico.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2018Article
- Latent Class Analysis of HIV Risk Behaviors Among Russian Women at Risk for Alcohol-Exposed Pregnancies.AIDS and behavior · 2017Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Using data from a cross-sectional study that examined health risk behaviors among urban intravenous drug-using (IDU) adolescents and young adults, this study investigated risk profiles among a high-risk sample (n=274). Risk profiles were empirically derived through latent class analysis based on indicators of engagement in health-risking behaviors, experience of abuse and violence as well as individual and family risk factors. The best fitting model was a 3-class model. Class 1 (n=95) captured participants with the lowest risk across all indicators. Compared to Class 1, Class 2 (n=128) and Class 3 (n=51) had elevated rates of engagement in health-risking behaviors as well as individual and family risk factors; however, Class 3 had the highest rate of engagement in sexual risk behavior, and backgrounds of substantial abuse and violence as well as familial psychopathology. Class 2 was the group most socioeconomically disadvantaged, with the highest percentage of participants coming from poor backgrounds, spending the longest time homeless and working the fewest months. Identifying subgroups of IDU has the potential to guide the development of more targeted and effective strategies for prevention and treatment of this high-risk population.
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Registered trials
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