7 research outputs found

    College Student Mental Health: An Evaluation of the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure

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    © 2018 American Psychological Association. 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

    Negative consequences associated with dependence in daily cannabis users

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    BACKGROUND: Cannabis is the most widely consumed illicit substance in America, with increasing rates of use. Some theorists tend to link frequency of use with cannabis dependence. Nevertheless, fewer than half of daily cannabis users meet DSM-IV-TR criteria for cannabis dependence. This study seeks to determine whether the negative aspects associated with cannabis use can be explained by a proxy measure of dependence instead of by frequency of use. RESULTS: Over 2500 adult daily cannabis users completed an Internet survey consisting of measures of cannabis and other drug use, in addition to measures of commonly reported negative problems resulting from cannabis use. We compared those who met a proxy measure of DSM-IV-TR criteria for cannabis dependence (N = 1111) to those who did not meet the criteria (N = 1770). Cannabis dependent subjects consumed greater amounts of cannabis, alcohol, and a variety of other drugs. They also had lower levels of motivation, happiness, and satisfaction with life, with higher levels of depression and respiratory symptoms. CONCLUSION: Although all of our subjects reported daily use, only those meeting proxy criteria for cannabis dependence reported significant associated problems. Our data suggest that dependence need not arise from daily use, but consuming larger amounts of cannabis and other drugs undoubtedly increases problems

    Dimethyl fumarate in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

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    Dimethyl fumarate (DMF) inhibits inflammasome-mediated inflammation and has been proposed as a treatment for patients hospitalised with COVID-19. This randomised, controlled, open-label platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]), is assessing multiple treatments in patients hospitalised for COVID-19 (NCT04381936, ISRCTN50189673). In this assessment of DMF performed at 27 UK hospitals, adults were randomly allocated (1:1) to either usual standard of care alone or usual standard of care plus DMF. The primary outcome was clinical status on day 5 measured on a seven-point ordinal scale. Secondary outcomes were time to sustained improvement in clinical status, time to discharge, day 5 peripheral blood oxygenation, day 5 C-reactive protein, and improvement in day 10 clinical status. Between 2 March 2021 and 18 November 2021, 713 patients were enroled in the DMF evaluation, of whom 356 were randomly allocated to receive usual care plus DMF, and 357 to usual care alone. 95% of patients received corticosteroids as part of routine care. There was no evidence of a beneficial effect of DMF on clinical status at day 5 (common odds ratio of unfavourable outcome 1.12; 95% CI 0.86-1.47; p = 0.40). There was no significant effect of DMF on any secondary outcome

    Evaluating the Protective Behavioral Strategies for Marijuana Scale (PBSM) Short-Form: Support For a Two-Factor Structure and Measurement Invariance

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    Background: The present study evaluated the two-factor structure of the Protective Behavioral Strategies for Marijuana Scale (PBSM-SF) Short-Form, a 13-item measure of harm reduction behaviors related to cannabis use. Additionally, the PBSM was evaluated for measurement invariance based on sex and state cannabis legalization status. Method: Participants were 1,048 college students (Mage = 19.00) reporting past 30-day cannabis use who primarily identified as White (75.5%) females (64.9%) recruited from 11 universities in 11 states representative of the United States. All participants provided demographic information and completed the PBSM-SF, Marijuana Use Grid assessing cannabis use frequency, Cannabis Use Disorder Identification Test-Revised assessing hazardous cannabis use, and Brief Marijuana Consequences Questionnaire evaluating negative consequences. Results: The two-factor structure (i.e., Quantity and Context) of the PBSM-SF identified in Mian et al. (2021) was supported in the present study. Additionally, analyses demonstrated evidence of convergent and concurrent validity. Finally, the two-factor PBSM-SF demonstrated some degree of invariance by sex and state legalization status. Conclusions: This study provides additional support for a two-factor model of PBSM-SF (i.e., Quantity and Context) that functions similarly for men and women college students as well as for students from states without legalized cannabis use and states with legalized cannabis use
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