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      Prediction of major depressive disorder onset in college students

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          Abstract

          Background

          Major depressive disorder (MDD) in college students is associated with substantial burden.

          Aims

          To assess 1‐year incidence of MDD among incoming freshmen and predictors of MDD‐incidence in a representative sample of students.

          Method

          Prospective cohort study of first‐year college students (baseline: = 2,519, 1‐year follow‐up: = 958)

          Results

          The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual‐level predictors of onset were prior suicide plans and/or attempts (OR = 9.5). The strongest population‐level baseline predictors were history of childhood–adolescent trauma, stressful experience in the past 12 months, parental psychopathology, and other 12‐month mental disorder. Multivariate cross‐validated prediction (cross‐validated AUC = 0.73) suggest that 36.1% of incident MDD cases in a replication sample would occur among the 10% of students at highest predicted risk (24.5% predicted incidence in this highest‐risk subgroup).

          Conclusions

          Screening at college entrance is a promising strategy to identify students at risk of MDD onset, which may improve the development and deployment of targeted preventive interventions.

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          Most cited references38

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          Mental disorders among college students in the World Health Organization World Mental Health Surveys.

          Although mental disorders are significant predictors of educational attainment throughout the entire educational career, most research on mental disorders among students has focused on the primary and secondary school years.
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            Self-Injurious Thoughts and Behaviors Interview: development, reliability, and validity in an adolescent sample.

            The authors developed the Self-Injurious Thoughts and Behaviors Interview (SITBI) and evaluated its psychometric properties. The SITBI is a structured interview that assesses the presence, frequency, and characteristics of a wide range of self-injurious thoughts and behaviors, including suicidal ideation, suicide plans, suicide gestures, suicide attempts, and nonsuicidal self-injury (NSSI). This initial study, based on the administration of the SITBI to 94 adolescents and young adults, suggested that the SITBI has strong interrater reliability (average kappa = .99, r = 1.0) and test-retest reliability (average kappa = .70, intraclass correlation coefficient = .44) over a 6-month period. Moreover, concurrent validity was demonstrated via strong correspondence between the SITBI and other measures of suicidal ideation (average kappa = .54), suicide attempt (kappa = .65), and NSSI (average kappa = .87). The authors concluded that the SITBI uniformly and comprehensively assesses a wide range of self-injury-related constructs and provides a new instrument that can be administered with relative ease in both research and clinical settings. (PsycINFO Database Record (c) 2007 APA, all rights reserved).
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              The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI).

              This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH-CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio-demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12-month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer-assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper-and-pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD-10 and DSM-IV criteria. Elaborate CD-ROM-based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection.
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                Author and article information

                Contributors
                david.ebert@fau.de
                Journal
                Depress Anxiety
                Depress Anxiety
                10.1002/(ISSN)1520-6394
                DA
                Depression and Anxiety
                John Wiley and Sons Inc. (Hoboken )
                1091-4269
                1520-6394
                06 December 2018
                April 2019
                : 36
                : 4 , FOCUS ON: DEPRESSION DIVERSITY IN TIME AND PLACE ( doiID: 10.1002/da.2019.36.issue-4 )
                : 294-304
                Affiliations
                [ 1 ] Department of Clinical Psychology and Psychotherapy Friedrich–Alexander University Erlangen–Nüuremberg Erlangen Germany
                [ 2 ] Department of Neurosciences Universitair Psychiatrisch Centrum KU Leuven Belgium
                [ 3 ] Department of Psychiatry Harvard Medical School Boston MA USA
                [ 4 ] Center for Depression, Anxiety and Stress Research, McLean Hospital Belmont MA USA
                [ 5 ] Department for Health Care Policy Harvard Medical School Boston MA USA
                [ 6 ] EMGO Institute for Health and Care Research, VU University Amsterdam Amsterdam the Netherlands
                [ 7 ] School of Education, Boston University Boston MA USA
                [ 8 ] Department of Psychology Harvard University Cambridge MA USA
                Author notes
                [*] [* ] Correspondence

                David Daniel Ebert, Clinical Psychology and Psychotherapy, Friedrich–Alexander University Erlangen–Nüremberg Nägelsbachstraße 25a, 90152 Erlangen, Germany.

                Email: david.ebert@ 123456fau.de

                Author information
                https://orcid.org/0000-0001-6820-0146
                https://orcid.org/0000-0002-4974-5455
                https://orcid.org/0000-0003-2113-6241
                https://orcid.org/0000-0003-2319-4744
                https://orcid.org/0000-0003-1800-0044
                https://orcid.org/0000-0003-4831-2305
                https://orcid.org/0000-0001-5497-2743
                https://orcid.org/0000-0001-8747-3385
                https://orcid.org/0000-0002-0330-3694
                Article
                DA22867
                10.1002/da.22867
                6519292
                30521136
                3aeb3d4b-e4c3-428f-a807-910d74af5869
                © 2018 The Authors. Depression and Anxiety published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 19 March 2018
                : 16 August 2018
                : 19 August 2018
                Page count
                Figures: 0, Tables: 4, Pages: 11, Words: 8088
                Funding
                Funded by: National Institute of Mental Health
                Award ID: NIMH;R01MH070884
                Funded by: the Pfizer Foundation
                Funded by: Bristol‐Myers Squibb
                Funded by: Eli Lilly and Company
                Funded by: Ortho‐McNeil Pharmaceutical
                Funded by: GlaxoSmithKline
                Funded by: the US Public Health Service
                Award ID: R13‐MH066849
                Award ID: R01‐MH069864
                Award ID: R01 DA016558
                Funded by: the Fogarty International Center
                Award ID: FIRCA R03‐TW006481
                Funded by: the Pan American Health Organization
                Funded by: John D. and Catherine T. MacArthur Foundation
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                da22867
                April 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.2.1 mode:remove_FC converted:15.05.2019

                Clinical Psychology & Psychiatry
                depression,epidemiology,health services,mood disorders,suicide/self‐harm

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