Psychometric Properties and Factor Structure of the Multidimensional Behavioral Health Screen (MBHS) With a University Sample.

The Multidimensional Behavioral Health Screen (MBHS) is a brief screening measure of behavioral health symptoms. Although the measure was first developed for primary care, it is likely to have clinical utility in other settings. This study examined the MBHS's factor structure and psychometric properties with a university undergraduate and graduate student sample (n = 602, 58.6% female, 75.9% White, primarily aged 20-24) during the COVID-19 pandemic. MBHS subscale scores demonstrated internal consistency reliability and both convergent and discriminant relations with external, criterion variables. Confirmatory factor analyses supported a 7-subscale factor structure of the MBHS and did not find evidence of higher order factors. Clinical and theoretical implications, as well as future research directions, are discussed.

Sleep quality and mental health during COVID-19: the role of distress tolerance.

The coronavirus disease 2019 (COVID-19) pandemic has negatively impacted psychological health for many. This study aimed to investigate if distress tolerance, an individual's perceived or actual 'capacity to withstand negative psychological states', helps to explain the relationship between sleep and mental health problems during the COVID-19 pandemic. College students (N = 187) completed questionnaires using an online survey platform between 6 April 2020, and 6 June 2020, during the COVID-19 pandemic. Hierarchical multiple regression analyses were used to examine the indirect effect of distress tolerance on the relationship between sleep quality and mental health. Distress tolerance partially accounted for the relationship between sleep quality and perceived stress but did not help to explain the association between sleep quality and depression or anxiety. Two components of distress tolerance, absorption and appraisal, helped to explain the relationship between sleep quality and all mental health outcomes. These findings help explain how distress tolerance relates to mental health when sleep is negatively impacted. Prospective designs replicating these findings are needed and future research may inform how psychological interventions could target distress tolerance in the context of poor sleep, especially during major stressors.

Feasibility of Predicting In-Season Mental Health Problems in College Student-Athletes From Pre-season Assessment.

OBJECTIVE: To examine whether pre-season assessment using a validated assessment tool, the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF), could predict college student-athletes identified as experiencing in-season mental health (MH) problems. DESIGN: A prospective study of athletes who completed a pre-season evaluation in August 2018. SETTING AND PARTICIPANTS: A total of 195 National Collegiate Athletic Association Division 1 student-athletes from a large midwestern university in northeast Ohio. INDEPENDENT VARIABLE: The MMPI-2-RF, a 338-item self-report measure of constructs relevant to the assessment of psychopathology and personality. MAIN OUTCOME MEASURE: Mental health problems of student-athletes tracked throughout the competitive season (August 2018-May 2019) by a team of athletic department personnel who met weekly with a licensed clinical psychologist. RESULTS: In pre-season assessment, 71.8% of athletes clinically elevated at least one MMPI-2-RF scale and underreporting was higher in student-athletes than normative controls. Pre-season levels of internalizing psychopathology, diffuse physical symptoms, and unusual thoughts predicted increased likelihood of experiencing MH problems during the competitive season. CONCLUSIONS: The current findings suggest that the MMPI-2-RF may be a promising tool for identifying student-athletes at risk for MH concerns.