2026-10-10T13:01:56Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34034244 2026-09-30T17:21:58Z category_7 category_15 category_21 category_45 category_734 category_64 category_106 category_122 category_132 portal_5 item_type_3 month_year_09_2026

<p>Structural Equation Models Predicting ASSIST-11 Scores Across Country Groups.</p> Damla E. Aksen (25144959) Marc N. Potenza (8205348) Sarah D. Lichenstein (14104110) Léna Nagy (17744147) Shane W. Kraus (8944142) Joël Billieux (3458396) Loïs Fournier (25144962) Zsolt Demetrovics (165595) Mónika Koós (12409183) Beáta Bőthe (4514743) Medicine Neuroscience Biotechnology Sociology Biological Sciences not elsewhere classified Cancer Science Policy Mental Health Infectious Diseases substance use frequency large international sample international sex survey influence substance use particularly among sexual gender minority individuals sexual abuse measures childhood sexual abuse adult sexual abuse csa ), adolescent sexual abuse sexual orientation gender identities 11 ), xlink "> study examined premeditation facets moderating role findings underscore explored moderation contextual variation consistently associated combined exposure <p>Structural Equation Models Predicting ASSIST-11 Scores Across Country Groups.</p> 2026-09-30T17:21:47Z Dataset Dataset 10.1371/journal.pone.0355986.t006 https://figshare.com/articles/dataset/_p_Structural_Equation_Models_Predicting_ASSIST-11_Scores_Across_Country_Groups_p_/34034244 CC BY 4.0