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College student mental health: An evaluation of the DSM-5 self-rated Level 1 cross-cutting symptom measure.

ABSTRACT: The DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure was developed to aid in clinical decision-making for clients seeking psychiatric services and to facilitate empirical investigation of the dimensional nature of mental health issues. Preliminary evidence supports its utility with clinical samples. However, the brief, yet comprehensive structure of the DSM-5 Level 1 measure may benefit a high-risk population that is less likely to seek treatment. College students have high rates of hazardous substance use and co-occurring mental health symptoms, yet rarely seek treatment. Therefore, the current study evaluated the psychometric properties (i.e., construct and criterion-related validity) of the DSM-5 Level 1 measure with a large, diverse sample of non-treatment-seeking college/university students. Data from 7,217 college students recruited from 10 universities in 10 different states across the United States evidenced psychometric validation of the DSM-5 Level 1 measure. Specifically, we found acceptable internal consistency across multi-item DSM-5 domains and moderate to strong correlations among domains (internal validity). Further, several DSM-5 domains were positively associated with longer, validated measures of the same mental health construct and had similar strengths of associations with substance use outcomes compared to longer measures of the same construct (convergent validity). Finally, all DSM-5 domains were negatively associated with self-esteem and positively associated with other theoretically relevant constructs, such as posttraumatic stress (criterion-related validity). Taken together, the DSM-5 Level 1 measure appears to be a viable tool for evaluating psychopathology in college students. Several opportunities for clinical application and empirical investigation of the DSM-5 Level 1 measure are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

SUBMITTER: Bravo AJ

PROVIDER: S-EPMC6172148 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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College student mental health: An evaluation of the DSM-5 self-rated Level 1 cross-cutting symptom measure.

Bravo Adrian J AJ Villarosa-Hurlocker Margo C MC Pearson Matthew R MR

Psychological assessment 20180802 10

The <i>DSM-5</i> Self-Rated Level 1 Cross-Cutting Symptom Measure was developed to aid in clinical decision-making for clients seeking psychiatric services and to facilitate empirical investigation of the dimensional nature of mental health issues. Preliminary evidence supports its utility with clinical samples. However, the brief, yet comprehensive structure of the <i>DSM-5</i> Level 1 measure may benefit a high-risk population that is less likely to seek treatment. College students have high r ...[more]

PMID: 30070557

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Project description:BackgroundCollege students endorse high rates of mental health problems. While many colleges offer on-campus services, many students who could benefit from mental health services do not receive care. Indeed, nearly half of students who screen positive for depression, for example, do not receive treatment. Digital mental health programs, such as those delivered via mobile apps, may help expand access to mental health care and resources. This mixed-methods study aims to examine the uptake and effectiveness of an implementation of IntelliCare for College Students, a self-guided app-based mental health platform, on two university campuses.MethodsData on counseling center utilization was collected prior to the implementation of the app (pre-implementation phase) and while the app was available on campus (implementation phase). Data on app usage was collected throughout the implementation phase. A subset of participants (n = 20), along with counseling center staff members (n = 10), completed feedback interviews.ResultsOverall, uptake of the app platform was low. A total of 117 participants downloaded the app and registered their study ID during the implementation phase. Approximately 24% (28/117) of participants used the app only once. The number of days between the first and last day of app use ranged from 0 to 299, with a mean of 35.01 days and a median of 14 days. A relatively small portion of the sample (26.5%; 31/117) downloaded one or more of the IntelliCare interactive apps. In examining counseling center utilization, there were no significant changes in intake appointments, individual therapy sessions, or crisis appointments observed from the pre-implementation phase to the implementation phase of the study. Feedback interviews highlighted the significant level of disruption caused by the COVID-19 pandemic and shift to remote learning, including challenges disseminating information to students and a preference to spend less time with digital devices outside of class time.ConclusionsFindings from this study indicate that there is an ongoing need to identify ways to reach college students and support student mental health and wellness for the remainder of the COVID-19 pandemic and beyond.

Project description:Increasingly, colleges across the world are contending with rising rates of mental disorders, and in many cases, the demand for services on campus far exceeds the available resources. The present study reports initial results from the first stage of the WHO World Mental Health International College Student project, in which a series of surveys in 19 colleges across 8 countries (Australia, Belgium, Germany, Mexico, Northern Ireland, South Africa, Spain, United States) were carried out with the aim of estimating prevalence and basic sociodemographic correlates of common mental disorders among first-year college students. Web-based self-report questionnaires administered to incoming first-year students (45.5% pooled response rate) screened for six common lifetime and 12-month DSM-IV mental disorders: major depression, mania/hypomania, generalized anxiety disorder, panic disorder, alcohol use disorder, and substance use disorder. We focus on the 13,984 respondents who were full-time students: 35% of whom screened positive for at least one of the common lifetime disorders assessed and 31% screened positive for at least one 12-month disorder. Syndromes typically had onsets in early to middle adolescence and persisted into the year of the survey. Although relatively modest, the strongest correlates of screening positive were older age, female sex, unmarried-deceased parents, no religious affiliation, nonheterosexual identification and behavior, low secondary school ranking, and extrinsic motivation for college enrollment. The weakness of these associations means that the syndromes considered are widely distributed with respect to these variables in the student population. Although the extent to which cost-effective treatment would reduce these risks is unclear, the high level of need for mental health services implied by these results represents a major challenge to institutions of higher education and governments. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Project description:ObjectivesTo investigate the correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Secondary aims were to investigate length of sick leave by diagnoses on sick leave certificates, diagnoses made in structured interviews and symptom severity.DesignObservational study consisting of a secondary analysis of data from a randomised controlled trial and an observational study.SettingThe regions of Stockholm and Västra Götaland, Sweden.Participants480 people on sick leave for common mental disorders.InterventionsParticipants were examined with structured psychiatric interviews and self-rated symptom severity scales.Outcome measures(1) Sick leave certificate diagnoses, (2) diagnoses from the Mini International Neuropsychiatric Interview and the Self-rated Stress-Induced Exhaustion Disorder (SED) Instrument (s-ED), (3) symptom severity (Montgomery-Asberg Depression Rating Scale-self-rating version and the Karolinska Exhaustion Disorder Scale) and (4) number of sick leave days.ResultsThere was little correspondence between diagnoses on sick leave certificates and diagnoses made in structured psychiatric interviews. Many participants on sick leave for SED, anxiety disorder or depression fulfilled criteria for other mental disorders. Most on sick leave for SED (76%) and anxiety disorder (67%) had depression (p=0.041). Length of sick leave did not differ by certificate diagnoses. Participants with SED (s-ED) had longer sick leave than participants without SED (144 vs 84 days; 1.72 (1.37-2.16); p<0.001). More severe symptoms were associated with longer sick leave.ConclusionDiagnoses on sick leave certificates did not reflect the complex and overlapping nature of the diagnoses found in the structured psychiatric interviews. This finding is relevant to the interpretation of information from health data registers, including studies and guidelines based on these data. A result of clinical interest was that more severe symptoms predicted long-term sick leave better than actual diagnoses.

Dataset Information

College student mental health: An evaluation of the DSM-5 self-rated Level 1 cross-cutting symptom measure.

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College student mental health: An evaluation of the DSM-5 self-rated Level 1 cross-cutting symptom measure.

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