Cogent mental healthPub Date : 2023-05-21eCollection Date: 2023-01-01DOI: 10.1080/28324765.2023.2211633
Natalie R Pottschmidt, Rebecca A Janis, Brett E Scofield, Alaina L Cummins, Dever M Carney, Katherine A Davis, J Ryan Kilcullen, Hongjun Michael Tan, Louis G Castonguay, Benjamin D Locke
{"title":"Impacts of the COVID-19 pandemic on treatment-seeking college students.","authors":"Natalie R Pottschmidt, Rebecca A Janis, Brett E Scofield, Alaina L Cummins, Dever M Carney, Katherine A Davis, J Ryan Kilcullen, Hongjun Michael Tan, Louis G Castonguay, Benjamin D Locke","doi":"10.1080/28324765.2023.2211633","DOIUrl":"10.1080/28324765.2023.2211633","url":null,"abstract":"<p><p>While the impact of the coronavirus disease (COVID-19) pandemic has been ubiquitous and pervasive, there is still little known about how specific groups may be impacted differently. Epidemiological survey research suggests that college students are at heightened risk for negative mental health effects of the pandemic, but most research on collegiate mental health during the pandemic has been focused on the general student body and limited in scope. The current research presents two studies examining impacts of COVID-19 in a large clinical sample of treatment-seeking college students, using data collected through the Center for Collegiate Mental Health. First, examining baseline psychological symptom distress in a pre-COVID and a COVID cohort, few differences were seen between the two groups. Second, for students seeking counseling after COVID-19 onset, reported negative impacts of the pandemic across life areas are presented, along with their associations with psychological symptoms, demographics, and reasons for seeking treatment. Students who reported a negative impact of COVID-19 on their mental health were more likely to present with increased baseline symptom distress. Furthermore, students with minoritized identities were often disproportionately negatively impacted across life areas assessed. Recommendations for clinicians, counseling centers, and institutions are highlighted based on this examination.</p>","PeriodicalId":72633,"journal":{"name":"Cogent mental health","volume":"31 1","pages":"2211633"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75312511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cogent mental healthPub Date : 2023-04-17eCollection Date: 2023-01-01DOI: 10.1080/28324765.2023.2169583
Bethany A Rallis, Justin Petrovich, Brett E Scofield, Sangsun Kim, Benjamin D Locke
{"title":"A comparison of treatment response between college students with and without suicide risk at university counseling centers.","authors":"Bethany A Rallis, Justin Petrovich, Brett E Scofield, Sangsun Kim, Benjamin D Locke","doi":"10.1080/28324765.2023.2169583","DOIUrl":"10.1080/28324765.2023.2169583","url":null,"abstract":"<p><p>This study aims to explore the effect of University Counseling Center (UCC) treatment in a nationally representative sample of 101,354 college students with suicide risk variables (i.e. recent suicidal ideation (SI), recent SI and history of suicide attempts (SA), history of SA) as compared to those without suicide risk seeking services from 160 UCCs. Time Varying Effects Modeling was used to assess changes in distress level and SI over the course of up to 20 sessions of treatment among students with the aforementioned risk variables compared to those without. Reductions in distress and SI were observed in all students with the most significant change seen in the first five sessions. Students with recent SI and no history of attempts seem to achieve comparable amount of improvement to students without suicide risks. Presence of suicide attempt history appears to limit the prognosis. These results entail that students with a history of SA whose levels of risk and chronicity of symptoms may require more treatment and be better managed with alternative forms of treatment.</p>","PeriodicalId":72633,"journal":{"name":"Cogent mental health","volume":"430 1","pages":"2169583"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75078553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cogent mental healthPub Date : 2023-01-01Epub Date: 2023-08-01DOI: 10.1080/28324765.2023.2240375
Marc Rigatti, Brittany Chapman, Peter R Chai, David Smelson, Kavita Babu, Stephanie Carreiro
{"title":"Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.","authors":"Marc Rigatti, Brittany Chapman, Peter R Chai, David Smelson, Kavita Babu, Stephanie Carreiro","doi":"10.1080/28324765.2023.2240375","DOIUrl":"10.1080/28324765.2023.2240375","url":null,"abstract":"<p><p>Opioid use disorder (OUD) is one of the most pressing public health problems of the past decade, with over eighty thousand overdose related deaths in 2021 alone. Digital technologies to measure and respond to disease states encompass both on- and off-body sensors. Such devices can be used to detect and monitor end-user physiologic or behavioral measurements (<i>i.e. digital biomarkers</i>) that correlate with events of interest, health, or pathology. Recent work has demonstrated the potential of digital biomarkers to be used as a tools in the prevention, risk mitigation, and treatment of opioid use disorder (OUD). Multiple physiologic adaptations occur over the course of opioid use, and represent potential targets for digital biomarker based monitoring strategies. This review explores the current evidence (and potential) for digital biomarkers monitoring across the spectrum of opioid use. Technologies to detect opioid administration, withdrawal, hyperalgesia and overdose will be reviewed. Driven by empirically derived algorithms, these technologies have important implications for supporting the safe prescribing of opioids, reducing harm in active opioid users, and supporting those in recovery from OUD.</p>","PeriodicalId":72633,"journal":{"name":"Cogent mental health","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399596/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9959329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}