Psychiatric medications prescribed on-campus and off-campus for university students: Differences in demographics, types of medication, and satisfaction with services.

Objective: To describe the use of psychiatric medication and related health service utilization among college students receiving care on- and off-campus. Participants and methods: 3959 students from a large southern university participated in the Healthy Minds Study in May 2018. Results: Of students surveyed, 17.6% took psychiatric medication in the last year. Of these students, 22.0% received prescriptions on-campus, 61.7% received prescriptions off-campus, 6.4% received them both on- and off-campus, and 9.9% took medication without a prescription. Nonwhite, international, and younger students were more likely to utilize on-campus rather than off-campus psychiatric medication services (p < .05). Satisfaction with health services did not differ by location. Conclusions: The majority of students received psychiatric prescriptions off- rather than on-campus. While satisfaction with both on- and off-campus health services is equally high, minority, international, and younger students are more likely to seek care on- rather than off-campus.

Polysubstance use profiles among US adults using Kratom (Mitragyna speciosa): A latent class analysis using The National Survey on Drug Use and Health (NSDUH).

BACKGROUND AND OBJECTIVES: Kratom (Mitragyna speciosa) use is associated with polysubstance use (PSU) and use disorders. However, additional research on PSU heterogeneity in populations using this novel psychoactive substance is necessary. The authors investigated patterns of past 12-month PSU among US adults reporting past 12-month use of kratom and at least one additional substance. METHODS: Latent class models were fit using 2019 National Survey on Drug Use and Health (NSDUH) data which was collected from 412 US adults reporting past 12-month use of kratom and at least one of 11 additional substances. RESULTS: Three distinct profiles were identified: "marijuana/alcohol/tobacco" (63.3%), "marijuana/alcohol/tobacco + psychedelics" (19.3%), and "marijuana/alcohol/tobacco + psychedelics/heroin/prescriptions" (17.4%). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This is the first epidemiological study in which a latent class analysis was used to identify unique PSU profiles among US adults using kratom and other substances. Understanding the profiles of people using kratom in relation to the use of other drugs might help guide screening interventions, treatment needs, and policy.

Poor Sleep Quality and Daytime Fatigue Are Associated With Subjective but Not Objective Cognitive Functioning in Clinically Relevant Hoarding.

Background: Hoarding disorder is a chronic psychiatric condition of increasing public health concern. Recent investigation suggests a positive association between hoarding severity and insomnia symptoms. However, these findings have yet to be replicated, and the prevalence and type of sleep impairment experienced by individuals with clinically relevant hoarding symptoms (CHSs) are not known. Methods: This analysis of 20,473 members of the internet-based Brain Health Registry uses multivariate logistic regression modeling and structural equation modeling to evaluate the relationship between hoarding symptoms, sleep impairment, adverse health, and cognitive functioning. Results: More than 12% of study participants endorsed CHSs or subclinical hoarding symptoms. After adjustment for demographic characteristics and psychiatric comorbidity, individuals with CHSs reported increased odds of sleep impairment in nearly all domains. The odds of poor sleep quality (adjusted odds ratio, 2.07; 95% CI, 1.83-2.34), sleep disturbances (adjusted odds ratio, 2.15; 95% CI, 1.91-2.43), and daytime dysfunction (adjusted odds ratio, 5.84; 95% CI, 5.12-6.65) were two- to fivefold higher for individuals with CHSs compared with those without. For all measures, the proportion of individuals reporting sleep impairment increased with hoarding severity. In our structural equation model, sleep impairment acted as a partial mediator on the indirect pathways from hoarding to subjective cognitive complaints and poorer quality of life. Conclusions: Identification of sleep problems among those with hoarding symptoms is a critical component of hoarding assessment. Additional research is needed to better understand the mechanisms underlying the observed relationships, including neurobiological underpinnings, and to examine the role of sleep management in treatment for hoarding behaviors.

Hoarding symptoms are associated with higher rates of disability than other medical and psychiatric disorders across multiple domains of functioning.

BACKGROUND: Hoarding symptoms are associated with functional impairment, though investigation of disability among individuals with hoarding disorder has largely focused on clutter-related impairment to home management activities and difficulties using space because of clutter. This analysis assesses disability among individuals with hoarding symptoms in multiple domains of everyday functioning, including cognition, mobility, self-care, interpersonal and community-level interactions, and home management. The magnitude of the association between hoarding and disability was compared to that of medical and psychiatric disorders with documented high disability burden, including major depressive disorder (MDD), diabetes, and chronic pain. METHODS: Data were cross-sectionally collected from 16,312 adult participants enrolled in an internet-based research registry, the Brain Health Registry. Pearson's chi-square tests and multivariable logistic regression models were used to quantify the relationship between hoarding and functional ability relative to MDD, diabetes, and chronic pain. RESULTS: More than one in ten participants endorsed clinical (5.7%) or subclinical (5.7%) hoarding symptoms (CHS and SCHS, respectively). After adjusting for participant demographic characteristics and psychiatric and medical comorbidity, CHS and SCHS were associated with increased odds of impairment in all domains of functioning. Moderate to extreme impairment was endorsed more frequently by those with CHS or SCHS compared to those with self-reported MDD, diabetes, and/or chronic pain in nearly all domains (e.g., difficulty with day-to-day work or school: CHS: 18.7% vs. MDD: 11.8%, p < 0.0001) except mobility and self-care. While those with current depressive symptoms endorsed higher rates of impairment than those with hoarding symptoms, disability was most prevalent among those endorsing both hoarding and comorbid depressive symptoms. CONCLUSIONS: Hoarding symptoms are associated with profound disability in all domains of functioning. The burden of hoarding is comparable to that of other medical and psychiatric illnesses with known high rates of functional impairment. Future studies should examine the directionality and underlying causality of the observed associations, and possibly identify target interventions to minimize impairment associated with hoarding symptomatology.

Identifying psychiatric and neurological comorbidities associated with hoarding disorder through network analysis.

BACKGROUND: The relationships between hoarding disorder (HD) and other neurological and psychiatric disorders remain largely unknown. Although psychiatric burden in those with HD is high, less is known about neurological disorders. Furthermore, which disorders are primarily associated with HD vs which can be better explained via a relationship with another disorder has not been determined. To address these questions, we examined comorbidity patterns of psychiatric and neurological disorders in a large online registry of adults using network analyses. METHODS: We first examined psychiatric comorbidity among 252 participants completing clinician administered psychiatric assessments. Using the Brain Health Registry (BHR) (N = 15,978), we next analyzed prevalence of self-reported neurological and psychiatric disorders among participants with no/minimal hoarding, subclinical hoarding, and clinically significant hoarding and used network analyses to identify direct and indirect relationships between HD and the assessed psychiatric and neurological disorders. RESULTS: The most prevalent comorbidity in clinically assessed participants with HD was major depressive disorder (MDD, 62%), followed by generalized anxiety disorder (GAD, 32%). Network analyses in the BHR indicated that the strongest direct relationships with HD were attention-deficit hyperactivity disorder (ADHD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD). The relationships between HD and neurological disorders, including mild cognitive impairment, were weak or non-existent after controlling for other disorders. CONCLUSIONS: ADHD, MDD, and OCD form a triad of psychiatric disorders directly associated with HD. Despite their high comorbidity rates, the associations among anxiety disorders and HD were weak or indirect.

E-cigarettes and non-suicidal self-injury: Prevalence of risk behavior and variation by substance inhaled.

Background: Nicotine and cannabis inhalation through vaping or electronic delivery systems has surged among young adults in the United States, particularly during the coronavirus disease pandemic. Tobacco and marijuana use are associated with select adverse mental health outcomes, including symptoms of major depressive disorder and suicidal behaviors. Given the need for addiction specialists to treat problematic substance use with an integrated approach, the association between non-suicidal self-injury (NSSI) and use of e-cigarettes, tobacco, marijuana, and alcohol was examined among a diverse sample of college students. Methods: Healthy Minds Study data from 47,016 weighted observations, collected from college students in the 2018-2019 academic year, was used to explore associations between NSSI-related behaviors and past 30-day use of a vaping product (nicotine or marijuana). These relationships were assessed among those using vaping products only, and then among individuals using vaping products and alcohol, conventional cigarettes, and/or marijuana. Hierarchical logistic regression models estimating the relationship between vaping and NSSI were computed to adjust for the effects of demographic factors, symptomatology of psychiatric disorders, and concurrent use of other substances. Results: A fifth (22.9%) of respondents disclosed past 12-month NSSI; they were significantly more likely to screen positive for depression or anxiety compared to young adults without NSSI. Rates of using vaping products, conventional cigarettes, marijuana, or other substances were higher among students with NSSI even after controlling for potential cofounders. Additionally, students who used a THC-based liquid in their e-cigarettes were more likely to endorse NSSI in comparison to those who used "just flavoring." However, young adults who vaped were less likely to disclose frequent NSSI-related behaviors than their peers who did not vape. Conclusions: These findings revealed an association between past 12-month NSSI and past 30-day vaping in a sample of young adults. Further surveillance among college populations and examination of potential sociodemographic confounders is necessary to confirm these findings and advance the substance use and addiction field.

Self-reporting of psychiatric illness in an online patient registry is a good indicator of the existence of psychiatric illness.

Online registries offer many advantages for research, including the ability to efficiently assess large numbers of individuals and identify potential participants for clinical trials and genetic studies. Of particular interest is the validity and utility of self-endorsement of psychiatric disorders in online registries, which, while increasingly more common, remain understudied. We thus assessed the comparability of prevalence estimated from self-endorsement of psychiatric disorders in one such registry, the Brain Health Registry (BHR) to prevalence computed from large US-based epidemiological studies and the degree to which BHR participants report psychiatric disorders consistently. We also examined the concordance between self-report and clinically determined diagnoses of various DSM-5 psychiatric disorders in a subset of participants who underwent direct assessments and identified possible reasons for discordance. Rates of self-reported psychiatric disorders were closest to previously reported population prevalence rates when endorsed at multiple timepoints, and accuracy was at least 70% for all except Hoarding Disorder as compared to the clinical diagnoses. Clinical data suggested that self-endorsement of a given psychiatric diagnosis was indicative of the presence of a closely related condition, although not necessarily for the specific disorder, with the exception of major depressive disorder, panic disorder, and hoarding disorder, which had high positive predictive values (85%, 73%, 100%, respectively). We conclude that self-reporting of psychiatric conditions in an online setting is a fair indicator of psychopathology, but should be accompanied by more in-depth interviews if using data from a participant for a specific disorder.

Health-related quality of life in hoarding: A comparison to chronic conditions with high disease burden.

Hoarding disorder often results in debilitating functional impairment and may also compromise health-related quality of life (QoL). This study investigated the association between hoarding behavior and QoL relative to six highly impairing medical and psychiatric disorders in a sample of 20,722 participants enrolled in the internet-based Brain Health Registry. Nearly 1 in 8 participants (12.2%) endorsed clinically relevant hoarding symptoms (CHS). In separate multivariable linear regression models, hoarding was more strongly associated with mental QoL than diabetes (Standardizedß = -0.21, 95% CI: [-0.22, -0.20] vs. -0.01 [-0.02, 0.0]), heart disease (-0.22 [-0.23, -0.20] vs. 0.00 [-0.02, 0.01]), chronic pain (-0.18 [-0.19, -0.16] vs. -0.12 [-0.13, -0.10]), post-traumatic stress disorder (PTSD; -0.20 [-0.22, -0.19] vs. -0.07 [-0.09, -0.06]), and substance use disorder (SUD; -0.21 [-0.23, -0.20] vs. -0.04 [-0.05, -0.03]). Similarly, CHS was more strongly negatively associated with physical QoL than diabetes (-0.11 [-0.10, -0.12] vs. -0.08 [-0.06, -0.09]), major depressive disorder (-0.09 [-0.10, -0.08] vs. -0.05 [-0.06, 0.03]), PTSD (-0.11 [-0.12, -0.10] vs. -0.08 [-0.09, -0.07]), and SUD (-0.12 [-0.13, -0.09] vs. -0.01 [-0.02, 0.00]). Higher hoarding severity was associated with reductions in both mental (Standardizedß = -0.28, ΔR2 = 0.08, p < 0.0001) and physical (ß = -0.12, ΔR2 = 0.02, p < 0.0001) QoL, though the strength of the relationship between hoarding symptoms and QoL varied with depression severity. Efforts to improve the overall QoL and well-being of those with CHS are needed.

Impact of the COVID-19 Pandemic on Disordered Eating Behavior: Qualitative Analysis of Social Media Posts.

BACKGROUND: A growing body of evidence is suggesting a significant association between the COVID-19 pandemic and population-level mental health. Study findings suggest that individuals with a lifetime history of disordered eating behavior may be negatively affected by COVID-19-related anxiety, and prevention measures may disrupt daily functioning and limit access to treatment. However, data describing the influence of the COVID-19 pandemic on disordered eating behaviors are limited, and most findings focus on individuals in treatment settings. OBJECTIVE: The aim of this study is to characterize the experiences of Reddit users worldwide who post in eating disorder (ED)-related discussion forums describing the influence of the COVID-19 pandemic on their overall mental health and disordered eating behavior. METHODS: Data were collected from popular subreddits acknowledging EDs as their primary discussion topic. Unique discussion posts dated from January 1 to May 31, 2020 that referenced the COVID-19 pandemic were extracted and evaluated using inductive, thematic data analysis. RESULTS: Six primary themes were identified: change in ED symptoms, change in exercise routine, impact of quarantine on daily life, emotional well-being, help-seeking behavior, and associated risks and health outcomes. The majority of users reported that the COVID-19 pandemic and associated public health prevention measures negatively impacted their psychiatric health and contributed to increased disordered eating behaviors. Feelings of isolation, frustration, and anxiety were common. Many individuals used Reddit forums to share personal experiences, seek advice, and offer shared accountability. CONCLUSIONS: Reddit discussion forums have provided a therapeutic community for individuals to share experiences and provide support for peers with ED during a period of increased psychiatric distress. Future research is needed to assess the impact of the COVID-19 pandemic on disordered eating behavior and to evaluate the role of social media discussion forums in mental health treatment, especially during periods of limited treatment access.

Hoarding disorder is associated with self-reported cardiovascular / metabolic dysfunction, chronic pain, and sleep apnea.

Hoarding behaviors are positively associated with medical morbidity, however, current prevalence estimates and types of medical conditions associated with hoarding vary. This analysis aims to quantify the medical morbidity of hoarding disorder (HD). Cross-sectional data were collected online using the Brain Health Registry (BHR). Among 20,745 participants who completed the Hoarding and Clutter and Medical History thematic modules, 1348 had HD (6.5%), 1268 had subclinical HD (6.1%), and 18,829 did not meet hoarding criteria (87.4%). Individuals with HD were more likely to report a lifetime history of cardiovascular/metabolic conditions: diabetes (HD adjusted odds ratio (AOR):1.51, 95% confidence interval (CI):[1.20, 1.91]; subclinical HD AOR:1.24, 95% CI:[0.95, 1.61]), and hypercholesterolemia (HD AOR:1.24, 95% CI:[1.06, 1.46]; subclinical HD AOR:1.11, 95% CI:[0.94, 1.31]). Those with HD and subclinical HD were also more to report chronic pain (HD AOR: 1.69, 95% CI:[1.44, 1.98]; subclinical HD AOR: 1.44, 95% CI:[1.22, 1.69]), and sleep apnea (HD AOR: 1.58, 95% CI:[1.31, 1.89]; subclinical HD AOR:1.30, 95% CI:[1.07, 1.58]) than non-HD participants. For most conditions, likelihood of diagnosis did not differ between HD and subclinical HD. Structural equation modeling revealed that more severe hoarding symptomatology was independently associated with increased cardiovascular/metabolic vulnerability. The assessment and management of medical complications in individuals with HD is a fundamental component in improving quality of life, longevity, and overall physical health outcomes.

Internet-based hoarding assessment: The reliability and predictive validity of the internet-based Hoarding Rating Scale, Self-Report.

The Hoarding Rating Scale, Self Report (HRS-SR) is a 5-item assessment developed to ascertain the presence and severity of hoarding symptoms. This study aimed to evaluate the validity of an online adaptation of the HRS-SR in a remote, unsupervised internet sample of 23,214 members of the Brain Health Registry (BHR), an online research registry that evaluates and longitudinally monitors cognition, medical and psychiatric health status. Convergent validity was assessed among a sub-sample of 1,183 participants who completed additional, remote measures of self-reported hoarding behaviors. Structured clinical interviews conducted in-clinic and via video conferencing tools were conducted among 230 BHR participants; ROC curves were plotted to assess the diagnostic performance of the internet-based HRS-SR using best estimate hoarding disorder (HD) diagnoses as the gold standard. The area under the curve indicated near-perfect model accuracy, and was confirmed with 10-fold cross validation. Sensitivity and specificity for distinguishing clinically relevant hoarding were optimized using an HRS-SR total score cut-off of 5. Longitudinal analyses indicated stability of HRS-SR scores over time. Findings indicate that the internet-based HRS-SR is a useful and valid assessment of hoarding symptoms, though additional research using samples with more diverse hoarding behavior is needed to validate optimal cut-off values.

World vaping update.

PURPOSE OF REVIEW: Although death and injury related to e-cigarette use and vaping products has decreased since the peak in 2019, concern over the popularity of electronic nicotine delivery systems (ENDS - a term which includes vape pens, electronic or e-cigarettes, and products that produce vapor for inhaling rather than combusting to produce smoke) continues. ENDS are used as an aid to quit smoking and for harm reduction. RECENT FINDINGS: This review covers peer-reviewed literature from January 2019 through February 2020 on vaping (the process of using ENDS). Prevalence, risk factors for use, and health risks and benefits from use predominated. Policy articles, commentaries and editorials were excluded from review. E-cigarette or vaping product use-associated lung injury (EVALI)-related injury and death were in the news and literature this year. Because most EVALI-related injury and death occurred among young people who had vaped tetrahydrocannabinol (THC), data from the Healthy Minds (United States) study are reviewed to consider variation in risk factors for vaping THC compared with nicotine. SUMMARY: Findings provide up-to-date information on vaping as a way to consume a drug, whether THC or nicotine. Harm reduction benefits were shown in a year-long follow-up of smoking cessation; harms continue to accumulate, including from passive consumption.

Disordered eating is associated with non-medical use of prescription stimulants among college students.

BACKGROUND: Disordered eating behaviors are associated with non-medical use of prescription stimulants for weight and appetite-related purposes. Yet, estimates of the prevalence and types of disordered eating associated with non-medical use vary. Additionally, little is known about the association between medical use of prescription stimulants and disordered eating. METHOD: Data were collected from 87,296 college students at 127 institutions that participated in the Healthy Minds Study. We assessed the relationship between disordered eating, medical and nonmedical prescription stimulant use using multivariable logistic regression models adjusted for demographic characteristics, lifestyle and behavioral factors, and psychiatric comorbidity. RESULTS: Non-medical use of prescription stimulants (NMUPS) was reported by 2.8 % n = 2435 of the sample. One-third of students using prescription stimulants non-medically reported two or more disordered eating attitudes and behaviors. Disordered eating was a significant predictor of non-medical, but not medical use of prescription stimulants. A dose-response relationship was identified between disordered eating and non-medical use, where risk for non-medical use increased with the number of disordered eating attitudes and behaviors reported. CONCLUSIONS: The risk for NMUPS increases with disordered eating symptomatology. There is a need to assess for NMUPS among college students presenting with disordered eating.