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Introduction: Cognitive dysfunction is a hallmark feature of many psychiatric disorders. We aimed to study the prevalence and predictors of cognitive dysfunction (CD) among U.S. high school students and its association with time spent on digital devices. Methods: We performed a cross-sectional survey study using YRBSS 2019 data of U.S. high school students in grades 9–12. Cognitive dysfunction was defined by difficulties with remembering, concentrating, and making decisions due to emotional, physical, or mental problems. Digital screen time was described by daily time spent on TV, computers, tablets, and phone. We performed univariate and multivariable survey logistic regression analysis to identify the prevalence of cognitive dysfunction and its association with time spent on digital devices. Results: Out of 10,317 total participants, 3914 (37.9%) reported CD. The prevalence of CD was higher in females compared to males (46.0% vs. 29.9%). Compared to participants with no CD, participants with CD reported substance abuse, such as alcohol (35.8% vs. 26.6%), marijuana (28.3% vs. 17.6%), cigarette (8.1% vs. 4.7%), and illicit drugs (18.9% vs. 9.0%) and they reported a higher prevalence (p < 0.0001 for all substances). Participants who felt sad and hopeless (62.8 vs. 22.1%) reported a high prevalence of CD, whereas participants with adequate sleep reported low prevalence (15.7% vs. 25.6%). In a regression, daily video game/internet use for non-work-related activities for 4 h (aOR:1.27; p = 0.03) and ≥5 h (aOR:1.70; p < 0.0001) demonstrated higher odds of CD, compared to participants with no daily use. Female sex, substance use, and depressed mood were additional predictors of CD. Conclusion: The prevalence of CD is high in U.S. high-school students. Female sex, substance abuse, depressed mood, and excessive VG/PC use is associated with high odds of cognitive dysfunction. Further research is needed to explore the complex relationship between screen time and cognitive dysfunction.

Vaccination against COVID-19 is one of the highly effective preventative strategies to reduce morbidity and mortality associated with COVID-19 infection. The rapid approval of COVID-19 vaccination due to the raging pandemic, media coverage, anti-vaccination groups, and concerns about adverse effects associated with vaccination has given rise to COVID-19 vaccine hesitancy. Current evidence suggests that psychosomatic and nocebo-related adverse effects account for a significant proportion of common adverse effects following COVID-19 vaccination. The most common adverse effects are headache, fatigue, and myalgia, which are highly prone to nocebo effects. In our review article, we discuss the role of psychosomatic and nocebo effects in COVID-19 vaccination-related hesitancy, predictors of such effects, and strategies to reduce vaccine hesitancy. General education regarding psychosomatic and nocebo effects and specialized education for at-risk populations may reduce psychosomatic and nocebo-related adverse effects following COVID-19 vaccination, ultimately reducing hesitancy.

(1) Objectives: Hallucinogens are being explored as a potential treatment of psychiatric disorders. Micro dosing of illicitly purchased hallucinogen drugs is on the rise despite conclusive benefits. We aimed to evaluate the prevalence and odds of hopelessness, suicidality, and co-occurring substance use among adolescent hallucinogen users. (2) Methods: We performed a retrospective analysis of the Centers for Disease Control and Prevention’s Youth Risk Behavior Surveillance System (YRBSS) 2001–2019 data that nationally represents school-going US adolescents. We identified hallucinogen use based on the survey questions, exploring the use of hallucinogens (LSD, PCP, mescaline, and mushrooms). (3) Results: Out of a total of 125,550 respondents, 8.4% reported using hallucinogens. Overall, the trend of hallucinogen use decreased from 13.3% (2001) to 7.0% (2019) (pTrend < 0.0001). Hallucinogen users were at high odds of feeling sad and hopeless (aOR: 1.40; 95%CI: 1.21–1.61; p < 0.0001), considering suicide (aOR: 1.36; 95%CI: 1.08–1.70; p = 0.009), and planning suicide (aOR: 1.49; 95%CI: 1.19–1.86; p = 0.001). Additionally, adolescent hallucinogen users had a higher prevalence of alcohol, cigarette, e-cigarette, marijuana, synthetic marijuana, inhalants, heroin, cocaine, methamphetamine, and ecstasy use. (4) Conclusions: The overall trend of hallucinogen use decreased among school-going American adolescents. We found a high prevalence of co-occurring substance use among hallucinogen users. We found that hallucinogen users were at high odds of feeling sad, hopeless, and considering and planning suicide. Further research is needed to explore the effects of recreational hallucinogen use among the adolescent population.

Background: asthma, a chronic respiratory disease caused by inflammation and narrowing of the small airways in the lungs, is the most common chronic childhood disease. Prevalence of childhood asthma in the United States is 5.8%. In boys, prevalence is 5.7% and it is 6% in girls. Asthma is associated with other comorbidities such as major depressive disorder and anxiety disorder. This study explores the association between asthma and depression. Methods: we conducted a retrospective cross-sectional study using NHANES data from 2013 to 2018. Asthma and childhood onset asthma were assessed using questionnaires MCQ010 and MCQ025, respectively. Sociodemographic variables were summarized, and univariate analysis was performed to determine the association between asthma and major depressive disorder and its individual symptoms. Results: there were 402,167 participants from 2013–2018 in our study: no asthma in 84.70%; asthma in 15.30%. Childhood onset asthma (COA) included 10.51% and adult-onset asthma (AOA) included 4.79%. Median age of COA is 5 years and AOA is 41 years. Among the asthma groups, most AOA were females (67.77%, p < 0.0001), most COA were males (52.16%, p < 0.0001), and ethnicity was predominantly White in AOA (42.39%, p < 0001) and in COA (35.24%, p < 0.0001). AOA mostly had annual household income from $0–24,999 (35.91%, p < 0.0001), while COA mostly had annual household income from $25,000–64,999 (36.66%, p < 0.0001). There was a significantly higher prevalence of MDD in COA (38.90%) and AOA (47.30%) compared to NOA (31.91%). Frequency of symptoms related to MDD were found to have a significantly higher prevalence and severity in the asthma groups compared to no asthma, and slightly greater and more severe in AOA than in COA. Symptoms include having little interest in doing things (COA 18.38% vs. AOA 22.50% vs. NOA 15.44%), feeling down, depressed, or hopeless (COA 20.05% vs. AOA 22.77% vs. NOA 15.85%), having trouble sleeping or sleeping too much (COA 27.38% vs. AOA 23.15% vs. NOA 22.24%), feeling tired or having little energy (COA 39.17% vs. AOA 34.24% vs. NOA 33.97%), having poor appetite or overeating (COA 19.88% vs. AOA 20.02% vs. NOA 15.11%), feeling bad about yourself (COA 13.90% vs. AOA 13.79% vs. NOA 10.78%), having trouble concentrating on things (COA 12.34% vs. AOA 14.41% vs. NOA 10.06%), moving or speaking slowly or too fast (COA 8.59% vs. AOA 9.72% vs. NOA 6.09%), thinking you would be better off dead (COA 3.12% vs. AOA 4.38% vs. NOA 1.95%) and having the difficulties these problems have caused (COA 21.66% vs. AOA 26.73% vs. NOA 19.34%, p < 0.0001). Conclusion: MDD and related symptoms were significantly higher and more severe in participants with asthma compared to no asthma. Between adult-onset asthma compared to childhood onset asthma, adult-onset asthma had slightly greater and more severe MDD and related symptoms compared to childhood onset asthma.