2018
DOI: 10.1097/qad.0000000000001803
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Sexual risk behaviour trajectories among MSM at risk for HIV in Amsterdam, the Netherlands

Abstract: 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.

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Cited by 27 publications
(40 citation statements)
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“…The consistent associations between risk perception and numbers of casual AI partners or having condomless AI with a casual partner, which are well known risk factors for HIV [32], support the hypothesis that MSM have, overall, an adequate risk assessment. The finding that having condomless receptive AI with a partner living with HIV is no longer associated with higher perceived risk could also signify 'adequate' risk assessment, under the assumption that MSM only have unprotected sex with partners with an undetectable viral load.…”
Section: Discussionsupporting
confidence: 54%
“…The consistent associations between risk perception and numbers of casual AI partners or having condomless AI with a casual partner, which are well known risk factors for HIV [32], support the hypothesis that MSM have, overall, an adequate risk assessment. The finding that having condomless receptive AI with a partner living with HIV is no longer associated with higher perceived risk could also signify 'adequate' risk assessment, under the assumption that MSM only have unprotected sex with partners with an undetectable viral load.…”
Section: Discussionsupporting
confidence: 54%
“…We also did not explicitly model the role of chemsex; which we simplified by assuming a factor increase in transmission risk, reflective of what is found in the literature (see Supplementary materials). MSM were also assumed to have similar risk behaviour over their entire lifetime [39] due to insufficient data to parameterise transitions between risk groups over time.…”
Section: Discussionmentioning
confidence: 99%
“…In the LCA, underlying dimensions (latent classes) of the dependent variables were inferred on the basis of patterns in the observed data. The number of latent classes was determined by a combination of fit indices, including the Akaike Information Criterion score and the Bayesian Information Criterion value (lower values indicating a better fit), entropy (>0.8 indicating good classification), the degrees of freedom (negative degrees of freedom indicating a lower number of latent classes needed), and interpretability of the classes (17). The uncertainty of the results was tested by comparing the LCA including the identified psychological predictors of chlamydia diagnosis to 1) an LCA with behavioral and psychological predictors of chlamydia diagnosis, 2) an LCA including behavioral variables that were not identified as predictors of chlamydia diagnosis, and 3) an LCA including psychological and behavioral variables selected using a swap-stepwise (backward) preselection method (28, 29).…”
Section: Methodsmentioning
confidence: 99%