{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T03:18:39Z","timestamp":1766027919691,"version":"3.48.0"},"reference-count":47,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T00:00:00Z","timestamp":1757376000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Traumatic Stress"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Sexual assault on college campuses remains a pervasive issue, with students who consume alcohol at heightened risk for more frequent and severe victimization. A history of childhood trauma and specific drinking motives may increase this vulnerability, yet little research has examined how these factors interact to inform the impact of sexual assault frequency and severity during college. In this study, we used Bayesian multiple regression and random forest modeling to analyze the impact of childhood trauma and drinking motives on sexual assault among college students (\n                    <jats:italic>N<\/jats:italic>\n                    = 624). Bayesian regression analysis showed that risky alcohol consumption was the strongest predictor of sexual assault,\n                    <jats:italic>B<\/jats:italic>\n                    = 12.22, 95% CI [3.63, 5.35]. Other credible predictors included childhood sexual abuse,\n                    <jats:italic>B<\/jats:italic>\n                    = 4.87, 95% CI [1.27, 8.41]; childhood physical abuse,\n                    <jats:italic>B<\/jats:italic>\n                    = 8.78, 95% CI [4.43, 13.18]; childhood physical neglect,\n                    <jats:italic>B<\/jats:italic>\n                    = 7.28, 95% CI [2.34, 12.34]; and conformity drinking motives,\n                    <jats:italic>B<\/jats:italic>\n                    = 9.19, 95% CI [5.40, 13.02]. The random forest model achieved an\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    value of\u00a0.68 and identified risky alcohol consumption as the most important predictor, followed by childhood sexual abuse, childhood physical abuse, and conformity motives. These findings were consistent across both analytic approaches. By integrating hypothesis\u2010driven Bayesian modeling with prediction\u2010oriented machine learning, this study provides a nuanced understanding of how risky alcohol consumption, childhood trauma, and drinking motives shape the severity and frequency of sexual assault victimization in college. Results underscore the need for trauma\u2010informed and substance use\u2013focused prevention strategies to reduce the impact of campus sexual assault.\n                  <\/jats:p>","DOI":"10.1002\/jts.70007","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T05:07:01Z","timestamp":1757480821000},"page":"1059-1070","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Childhood trauma and drinking motives as predictors of sexual assault in college students"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9458-1840","authenticated-orcid":false,"given":"Kayleigh N.","family":"Watters","sequence":"first","affiliation":[{"name":"Department of Psychology Palo Alto University  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shalet","family":"Punnoose","sequence":"additional","affiliation":[{"name":"Department of Psychology Palo Alto University  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tara","family":"Hedayati","sequence":"additional","affiliation":[{"name":"Department of Psychology Palo Alto University  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabrin","family":"Ghuman","sequence":"additional","affiliation":[{"name":"Department of Psychology Palo Alto University  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8742-4951","authenticated-orcid":false,"given":"Mikael","family":"Rubin","sequence":"additional","affiliation":[{"name":"Department of Psychology Palo Alto University  Palo Alto California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,9,9]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.15288\/jsas.2002.s14.118"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1359\u20101789(03)00011\u20109"},{"issue":"3","key":"e_1_2_7_4_1","first-page":"337","article-title":"Child neglect\u2010causes and consequences","volume":"32","author":"Avdibegovi\u0107 E.","year":"2020","journal-title":"Psychiatria Danubina"},{"key":"e_1_2_7_5_1","doi-asserted-by":"crossref","unstructured":"Betancourt M.(2017).A conceptual introduction to Hamiltonian Monte Carlo. airXiv.https:\/\/doi.org\/10.48550\/arXiv.1701.02434","DOI":"10.3150\/16-BEJ810"},{"volume-title":"Childhood Trauma Questionnaire: A retrospective self\u2010report questionnaire and manual","year":"1998","author":"Bernstein D.","key":"e_1_2_7_6_1"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0145\u20102134(02)00541\u20100"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chiabu.2020.104421"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033\u20102909.99.1.66"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/14659891.2016.1245792"},{"key":"e_1_2_7_11_1","unstructured":"B\u00fcrkner P.\u2010C.(2024).Package brms[Computer software].https:\/\/cran.r\u2010project.org\/web\/packages\/brms\/brms.pdf"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18094610"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1177\/1948550619875149"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1753\u20106405.2010.00595.x"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1037\/1040\u20103590.6.2.117"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1177\/0886260519849680"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0037494"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.109.6.1100"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1530-0277.2000.tb02037.x"},{"key":"e_1_2_7_20_1","unstructured":"Goodrich B. 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