Literature DB >> 31400174

Identification and characterization of latent classes based on drug use among men who have sex with men at risk of sexually transmitted infections in Amsterdam, the Netherlands.

Roel C A Achterbergh1, Henry J C de Vries1,2, Anders Boyd3,4, Udi Davidovich3, Susanne Drückler1, Elske Hoornenborg3, Maria Prins3,5, Amy Matser3.   

Abstract

BACKGROUND AND AIMS: Men who have sex with men (MSM) are at high risk for both drug use and sexually transmitted infections (STI). We aimed to (1) identify subgroups of drug use during sex among MSM in Amsterdam and after classifying participants and (2) compare sexual behaviour and STI across groups.
DESIGN: Cross-sectional study. Latent class analysis was used to identify subgroups with similar drug use patterns, between which sexual behaviour and STI prevalence were compared.
SETTING: Four different studies conducted at the STI out-patient clinic in Amsterdam, the Netherlands, between January 2014 and June 2016. PARTICIPANTS: A total of 1130 self-declared MSM, aged ≥ 18 years. MEASUREMENTS: Self-reported drug use, laboratory-confirmed STI, socio-demographics, sexual behaviour (including number of partners), condom use.
FINDINGS: Median age was 40 years [interquartile range (IQR) = 32-47]. We identified five latent classes of users, which we labelled: 'no substance' (n = 162), 'alcohol' (n = 159), 'nitrites and erectile dysfunction drugs (EDD)' (n = 286), 'polydrug' (n = 257) and 'chems' (n = 266). Median number of sex partners significantly differed across classes (P < 0.001), ranging from two (IQR = 1-6) in the 'no substance' class to 20 (IQR = 10-45) in the 'chems' class. The proportion of MSM reporting condomless anal sex also differed across classes (P < 0.001), ranging from 45.6% in the 'no substance' class to 86.5% in the 'chems' class. Compared with the 'no substance' class, the odds of STI were 3.9-fold [95% confidence interval (CI) = 1.1-14.4] higher in the 'alcohol' class, 8.9-fold (95% CI = 2.7-29.2) higher in the 'nitrites and EDD' class, 12.8-fold (95% CI = 3.9-41.9) higher in the 'polydrug' class and 15.0-fold (95% CI = 4.6-48.8) higher in the 'chems' class.
CONCLUSION: There are five distinct classes of drug use in a sexual context among men who have sex with men in Amsterdam, the Netherlands. Classes with higher levels of drug use appear to coincide with higher levels of sexual risk behaviour and sexually transmitted infections.
© 2019 Society for the Study of Addiction.

Entities:  

Keywords:  Bacterial sexually transmitted infections; drug use behaviour; latent class analysis; men who have sex with men; sexual behaviour; substance use

Year:  2019        PMID: 31400174     DOI: 10.1111/add.14774

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  9 in total

1.  Increase in recreational drug use between 2008 and 2018: results from a prospective cohort study among HIV-negative men who have sex with men.

Authors:  Liza Coyer; Anders Boyd; Udi Davidovich; Ward P H van Bilsen; Maria Prins; Amy Matser
Journal:  Addiction       Date:  2021-09-22       Impact factor: 7.256

Review 2.  Running with Scissors: a Systematic Review of Substance Use and the Pre-exposure Prophylaxis Care Continuum Among Sexual Minority Men.

Authors:  Michael Viamonte; Delaram Ghanooni; John M Reynolds; Christian Grov; Adam W Carrico
Journal:  Curr HIV/AIDS Rep       Date:  2022-06-14       Impact factor: 5.495

3.  Risk Behaviors Associated with Patterns of Sexualized Stimulant and Alcohol Use among Men Who Have Sex with Men: a Latent Class Analysis.

Authors:  Cheríe S Blair; Jack Needleman; Marjan Javanbakht; W Scott Comulada; Amy Ragsdale; Robert Bolan; Steven Shoptaw; Pamina M Gorbach
Journal:  J Urban Health       Date:  2022-01-14       Impact factor: 5.801

4.  Sexual consent and chemsex: a quantitative study on sexualised drug use and non-consensual sex among men who have sex with men in Amsterdam, the Netherlands.

Authors:  Susanne Drückler; Jilke Speulman; Martijn van Rooijen; Henry J C De Vries
Journal:  Sex Transm Infect       Date:  2021-04-08       Impact factor: 3.519

5.  Delineating patterns of sexualized substance use and its association with sexual and mental health outcomes among young gay, bisexual and other men who have sex with men in Singapore: a latent class analysis.

Authors:  Rayner Kay Jin Tan; Caitlin Alsandria O'Hara; Wee Ling Koh; Daniel Le; Avin Tan; Adrian Tyler; Calvin Tan; Chronos Kwok; Sumita Banerjee; Mee Lian Wong
Journal:  BMC Public Health       Date:  2021-05-31       Impact factor: 3.295

6.  Latent Class Analysis of Polysubstance Use and Sexual Risk Behaviors among Men Who Have Sex with Men Attending Sexual Health Clinics in Mexico City.

Authors:  Rosibel Rodríguez-Bolaños; Ricardo Baruch-Dominguez; Edna Arillo-Santillán; Elsa Yunes-Díaz; Leonor Rivera-Rivera; Lizeth Cruz-Jiménez; James F Thrasher; Alan G Nyitray; Eduardo Lazcano-Ponce
Journal:  Int J Environ Res Public Health       Date:  2022-07-21       Impact factor: 4.614

7.  Health characteristics associated with chemsex among men who have sex with men: Results from a cross-sectional clinic survey in Norway.

Authors:  Eirik Amundsen; Åse Haugstvedt; Vegard Skogen; Rigmor C Berg
Journal:  PLoS One       Date:  2022-10-05       Impact factor: 3.752

8.  Sexual, addiction and mental health care needs among men who have sex with men practicing chemsex - a cross-sectional study in the Netherlands.

Authors:  Y J Evers; C J P A Hoebe; N H T M Dukers-Muijrers; C J G Kampman; S Kuizenga-Wessel; D Shilue; N C M Bakker; S M A A Schamp; H Van Buel; W C J P M Van Der Meijden; G A F S Van Liere
Journal:  Prev Med Rep       Date:  2020-03-06

9.  Condomless Anal Sex Associated With Heterogeneous Profiles Of HIV Pre-Exposure Prophylaxis Use and Sexual Activities Among Men Who Have Sex With Men: A Latent Class Analysis Using Sex Diary Data on a Mobile App.

Authors:  Yi-Fang Yu; Huei-Jiuan Wu; Stephane Wen-Wei Ku; Po-Hsien Huang; Chia-Wen Li; Poyao Huang; Carol Strong
Journal:  J Med Internet Res       Date:  2021-12-23       Impact factor: 5.428

  9 in total

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