Objective: Current information on treatment and clinical characteristics of U.S. adults with schizophrenia spectrum disorders (i.
View Article and Find Full Text PDFBackground: Knowledge of clinical, treatment and life circumstances of individuals with bipolar I disorder (BP-I) in US households is informed by decades old epidemiological surveys.
Methods: The Mental and Substance Use Disorders Prevalence Study was conducted October 2020-October 2022. Clinicians administered the Structured Clinical Interview for the DSM-5 diagnosing 12-month prevalence of BP-I and other mental health disorders (MHD) among 4764 adults aged 18-65 years and collected sociodemographic information.
Importance: Depressive symptoms have increased among US adolescents since 2010. It remains unclear as to what extent this increase will persist into young adulthood, potentially turning the youth mental health crisis into a young adult mental health crisis.
Objective: To test the association between birth cohort and adolescent depressive symptoms at ages 18, 19 to 20, and 21 to 22 years and changes in these symptoms by cohort.
Soc Psychiatry Psychiatr Epidemiol
December 2024
Background: While accumulating research has tested the hypothesis that screen time causes psychiatric symptoms in children, less attention has been paid to the hypothesis that children with psychiatric symptoms change their patterns of screen time and digital media use. We aimed to test whether children with psychiatric symptoms subsequently change their patterns of screen time and digital media use.
Methods: N = 9,066 children primarily aged 9-10 in the Adolescent Brain Cognitive Development Study at baseline and 1-year later.
Background: The prevalence of e-cigarette and vaping products has increased in the past decade, especially among adolescents. To provide data that will inform identification of youth at high risk, the goals of this study are to determine the social, educational, and psychological health outcomes associated with e-cigarette use distinct from combustible cigarettes.
Methods: Annual samples of adolescents in grade 12 (years: 2015-2021, N = 24,015) were analyzed from Monitoring the Future cross-sectional data.
Background: Transgender and nonbinary (TGNB) populations experience high rates of hazardous drinking (HD) and alcohol use disorder (AUD) as well as unique treatment barriers. This is due, in-part, to discrimination and stigma within and outside of the healthcare system. Cultural adaptation of clinical interventions can improve outcomes for marginalized populations, but no such adapted interventions exist for AUD among TGNB individuals.
View Article and Find Full Text PDFPurpose: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is associated with worsening mental health among young adults, but further research is necessary to quantify the associations with depression and anxiety.
Methods: Using Monitoring the Future data (N = 1244 young adults, modal age: 19, Fall 2020 supplement), we examined internalizing symptoms (Patient Health Questionnaire-8 and Generalized Anxiety Disorder Scale-7 separately), dividing the sample into those without clinically significant scores, significant scores but minimal pandemic-attributed symptoms, and significant scores with substantial pandemic-attributed symptoms. Logistic regression analyses linked demographic factors, pandemic-related experiences, and coping methods to symptom groups.
Aim: To quantify the trends in frequent and occasional cannabis vaping, demographic differences and concurrent nicotine and alcohol use.
Design: Observational study. Survey-weighted multinomial logistic regression models assessed trends and disparities in past 30-day cannabis use.
Background: Being bullied online is associated with being bullied in school. However, links between online bullying and violence-related experiences are minimally understood. We evaluated potential disparities in these associations to illuminate opportunities to reduce school-based violence.
View Article and Find Full Text PDFPurpose: To examine predictors of using substances to cope with the COVID-19 pandemic, including pandemic-related isolation, stress, economic hardship, demographics, and prepandemic substance use.
Methods: A U.S.