A risk algorithm that predicts alcohol use disorders among college students

The first year of college may carry especially high risk for onset of alcohol use disorders. We assessed the one-year incidence of alcohol use disorders (AUD) among incoming first-year students, predictors of AUD-incidence, prediction accuracy and population impact. A prospective cohort study of fir...

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Veröffentlicht in:	European child & adolescent psychiatry 2022-07, Vol.31 (7), p.1-11
Hauptverfasser:	Benjet, C., Mortier, P., Kiekens, G., Ebert, D. D., Auerbach, R. P., Kessler, R. C., Cuijpers, P., Green, J. G., Nock, M. K., Demyttenaere, K., Albor, Y., Bruffaerts, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Alcohol Drinking - epidemiology Alcohol related disorders Alcohol use Alcoholism Alcoholism - diagnosis Alcoholism - epidemiology Algorithms At risk populations Avoidable Child & adolescent psychiatry Child and Adolescent Psychiatry Cohort analysis College students Deployment Drinking behavior Female First year High risk Humans Individual differences Male Medical screening Medicine Medicine & Public Health Original Contribution Prospective Studies Psychiatry Response rates Risk groups Stressful events Students Substance use disorder Universities
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