Maartje Basten1,2, Janneke Cornelia Maria Heijne1, Ronald Geskus2,3,4,5, Chantal Den Daas1,6, Mirjam Kretzschmar1,7, Amy Matser2. 1. Center for Infectious Diseases Control, National Institute for Public Health and the Environment (RIVM), Bilthoven. 2. Department of Infectious Diseases, Research and Prevention, Public Health Service Amsterdam. 3. Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands. 4. Nuffield Department of Medicine, University of Oxford, Oxford, UK. 5. Oxford University Clinical Research Unit, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Viet Nam. 6. Department of Interdisciplinary Social Science, Faculty of Social and Behavioural Sciences, Utrecht University. 7. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Abstract
OBJECTIVE: Sexual risk behaviour changes during a person's life course. Insights in sexual risk behaviour trajectories of MSM may provide starting points for the timing of HIV prevention methods. We aimed to study longitudinal trajectories of sexual risk behaviour predictive of HIV acquisition from sexual debut onwards. DESIGN: A longitudinal study among 815 HIV-negative participants of the Amsterdam Cohort Studies (ACS) who completed extensive questionnaires about their sexual behaviour every 6 months between 2007 and 2017. METHODS: A comprehensive behavioural risk score predictive of HIV seroconversion was developed. On the basis of this risk score, linear trajectories of sexual risk behaviour and MSM group membership were estimated using latent class growth mixture modelling. Associations between longitudinal trajectories and demographic and psychosocial factors were examined. RESULTS: Three trajectories of sexual risk behaviour were identified, which were labelled Low risk (90.3% of the sample), Falling high risk (6.5%) and Rising high risk (3.3%). MSM following the Falling high risk (20.5%) and Rising high risk (25.0%) trajectories were more likely to acquire HIV during follow-up. The Falling high risk trajectory was associated with younger age at sexual debut, fewer steady partnerships and high percentages of substance use. The Rising high-risk trajectory was associated with increasing percentages of substance use over time. CONCLUSION: MSM follow different trajectories of changing sexual risk behaviour over time. Early identification of MSM following a trajectory of falling or rising high-risk behaviour and adequate timing of individual-based preventive interventions may reduce HIV transmission.
OBJECTIVE: Sexual risk behaviour changes during a person's life course. Insights in sexual risk behaviour trajectories of MSM may provide starting points for the timing of HIV prevention methods. We aimed to study longitudinal trajectories of sexual risk behaviour predictive of HIV acquisition from sexual debut onwards. DESIGN: A longitudinal study among 815 HIV-negative participants of the Amsterdam Cohort Studies (ACS) who completed extensive questionnaires about their sexual behaviour every 6 months between 2007 and 2017. METHODS: A comprehensive behavioural risk score predictive of HIV seroconversion was developed. On the basis of this risk score, linear trajectories of sexual risk behaviour and MSM group membership were estimated using latent class growth mixture modelling. Associations between longitudinal trajectories and demographic and psychosocial factors were examined. RESULTS: Three trajectories of sexual risk behaviour were identified, which were labelled Low risk (90.3% of the sample), Falling high risk (6.5%) and Rising high risk (3.3%). MSM following the Falling high risk (20.5%) and Rising high risk (25.0%) trajectories were more likely to acquire HIV during follow-up. The Falling high risk trajectory was associated with younger age at sexual debut, fewer steady partnerships and high percentages of substance use. The Rising high-risk trajectory was associated with increasing percentages of substance use over time. CONCLUSION: MSM follow different trajectories of changing sexual risk behaviour over time. Early identification of MSM following a trajectory of falling or rising high-risk behaviour and adequate timing of individual-based preventive interventions may reduce HIV transmission.
Authors: Daphne A van Wees; Janneke C M Heijne; Titia Heijman; Karlijn C J G Kampman; Karin Westra; Anne de Vries; John de Wit; Mirjam E E Kretzschmar; Chantal den Daas Journal: Am J Epidemiol Date: 2019-09-01 Impact factor: 4.897
Authors: Daphne A van Wees; Janneke C M Heijne; Maartje Basten; Titia Heijman; John de Wit; Mirjam E E Kretzschmar; Chantal den Daas Journal: Sex Transm Dis Date: 2020-03 Impact factor: 2.830
Authors: Maartje G J Basten; Daphne A van Wees; Amy Matser; Anders Boyd; Ganna Rozhnova; Chantal den Daas; Mirjam E E Kretzschmar; Janneke C M Heijne Journal: PLoS One Date: 2021-12-09 Impact factor: 3.240
Authors: Luisa Salazar-Vizcaya; Katharina Kusejko; Huldrych F Günthard; Jürg Böni; Karin J Metzner; Dominique L Braun; Dunja Nicca; Enos Bernasconi; Alexandra Calmy; Katharine E A Darling; Gilles Wandeler; Roger D Kouyos; Andri Rauch Journal: Viruses Date: 2022-04-10 Impact factor: 5.818
Authors: Patrick Janulis; Steven M Goodreau; Michelle Birkett; Gregory Phillips; Martina Morris; Brian Mustanski; Samuel M Jenness Journal: J Acquir Immune Defic Syndr Date: 2021-07-01 Impact factor: 3.771
Authors: Louis Macgregor; Monica Desai; Natasha K Martin; Jane Nicholls; Ford Hickson; Peter Weatherburn; Matthew Hickman; Peter Vickerman Journal: EClinicalMedicine Date: 2019-12-19