Psychiatric medication prescriptions increasing for college students above and beyond the COVID-19 pandemic.

Psychiatric medication prescriptions for college students have been rising since 2007, with approximately 17% of college students prescribed medication for a mental health issue. This increase mirrors overall increases in both mental health diagnoses and treatment of university students. As psychiatric medication prescriptions for college students were increasing prior to pandemic, the goal of this study was to compare these prescriptions over the years, while accounting for the added stressor of the COVID-19 pandemic. This study utilized cross-sectional, retrospective data from a cohort of college students receiving care from the university's health service. We examined prescriptions for mental healthcare from 2015 to 2021. There was a significant increase in the percentage of psychiatric medication prescriptions in 2020 (baseline 15.8%; threshold 3.5%) and 2021 (baseline 41.3%; threshold 26.3%) compared to the historical baseline average for the whole sample and as well as for female students (2020 baseline 21.3% and threshold 4.6%; 2021 baseline 55.1% and threshold 33.7%). Within these years, we found higher trends for prescriptions in April-May as well as September-December. Overall, we found that psychiatric medication prescriptions have continued to rise through the years, with a large increase occurring during the pandemic. In addition, we found that these increases reflect the academic year, which is important for university health centers to consider when they are planning to staff clinics and plan the best way to treat college students with mental health difficulties in the future.

Demographic differences in response rates for PHQ9 in a university student population.

OBJECTIVE: To examine differences in complete response rates for depression screening questions based on demographic characteristics. METHODS: Cross-sectional study examining associations between demographic characteristics and completely responding depression-screening questions. PARTICIPANTS: "Healthy Minds Study" data, collected in a public University in February 2016, where 7,326 students participated. RESULTS: women (AOR: 0.69; 95% CI =0.57-0.83) and gay/lesbian students (AOR: 0.24; 95% CI =0.10-0.60) had better complete response rates. Non-US (AOR: 1.46; 95% CI =1.03-2.07), black (AOR: 3.32; 95% CI =1.92-5.77), and Middle-Eastern students (AOR: 3.73; 95% CI =1.73-8.02) had lower complete response rates. CONCLUSIONS: Our study shows sex, gender, citizenship, and race categories have significant differences in complete response rates for the outcome. Our findings have several implications; including recognizing interventions for depression based on responders may not target those that tend to be "partial-responders". Efforts in survey design, recruiting and completion of surveys should be maximized.

Understanding the Impairment Associated With Depressive Symptoms.

Relatively little theory or research has addressed the mediating processes through which depressive symptoms lead to impairment. To conceptualize the nature of impairment in depression, we conducted semistructured interviews of 18 psychiatric patients experiencing depressive symptoms about how their depressive symptoms create impairment. Interviews were audio recorded and transcribed, and thematic analysis methods were used to identify content areas and themes. Three content areas were identified: domains of impairment (types of behavior that are impaired), experience of impairment (nature and severity of impairment), and pathways to impairment (processes connecting symptoms to impairment). Pathways included direct connections between symptom and impairment, as well as indirect pathways mediated by other symptoms and by cognitive responses to symptoms. Patients' examples of the impairment phenomena are presented. In addition, patterns of association were observed between particular pathways and symptom type (vegetative versus cognitive/affective). Increased understanding of clients' explanations for impairment may improve clinical intervention and assessments.

Why depressive symptoms cause distress: the clients' perspective.

BACKGROUND: Depressive symptoms are associated with distress, but research has not focused on the processes underlying this association. METHOD: We interviewed 18 patients experiencing depressive symptoms to identify the various reasons why depressive symptoms cause distress. Digital recordings were transcribed and grounded theory methods were used in analyzing the data and building theory. RESULTS: We identified 14 reasons for why patients find depressive symptoms distressing. These reasons frequently were particular thoughts, behaviors, or subsequent outcomes in response to the symptom; in other cases, the experience of the symptom itself directly caused distress. CONCLUSIONS: We present a general model of direct and indirect symptom-distress relationships that may help target clinical interventions for depression.