“Deaths of Despair” among College Students Amidst COVID-19 Pandemic: A Call for Action

As COVID-19 pandemic gains foothold worldwide, all spheres of life, including daily activities, education, economic, social sectors experienced significant downturns. While COVID-19 affects all population subgroups, college students are particularly vulnerable given their transition to the emerging adulthood surrounded by a broad possibility of future. According to a mounting evidence, college students bear a disproportionate burden of psychosocial morbidities, which can be explained by the uncertainties surrounding the course of the pandemic and the sudden transition to online education. Moreover, many businesses scaled down their recruitment efforts leaving limited employment for students and more competition in the graduate labor market. COVID-19 pandemic has set up a “perfect storm” for students to initiate or relapse of maladaptive behaviors to alleviate their negative feelings. This is where “Deaths of Despair” comes into play. This chapter aims to reflect on the factors contributing to “Deaths of Despair” among college students in the wake of COVID-19 pandemic. Author of this chapter would like to advocate for developing tailored interventions to promote the post-traumatic growth among college students

A Theory-Based Analysis of COVID-19 Vaccine Hesitancy Among African Americans in the United States: A Recent Evidence

African Americans have been disproportionately vaccinated at lower rates, which warrants the development of theory-based interventions to reduce vaccine hesitancy in this group. The fourth-generation theories, e.g., multi-theory model (MTM) of health behavior change, are vital in developing behavioral interventions. Therefore, the current study aims to determine recent trends in COVID-19 vaccination rates and to test the MTM model in predicting the initiation of COVID-19 vaccines among vaccine-hesitant Blacks. A sample of 428 unvaccinated African Americans were recruited through a web-based survey using a 28-item psychometric valid questionnaire. Chi-square, independent-samples-t-test or Welch’s t test, and Pearson’s correlation tests were utilized for the analyses. Hierarchical regression modelling was performed to determine the increment in variation accounted for through addition of predictors over a set of models. Nearly 48% of unvaccinated Blacks reported being vaccine-hesitant. The vaccine-hesitant group was relatively younger (40.5 years ± 15.8 vs. 46.2 years ± 17.4, p \u3c 0.001), were Republicans (22.1% vs. 10.0%, p \u3c 0.001), lived in the North-East region (26.0% vs. 11.4%, p \u3c 0.001) and had religious affiliations other than Christianity (21.2% vs. 13.6%, p = 0.04). The mean scores of perceived advantages ((9.01 ± 3.10 vs. 7.07 ± 3.60, p \u3c 0.001) and behavioral confidence (8.84 ± 3.76 vs. 5.67 ± 4.09, p \u3c 0.001) were higher among vaccine non-hesitant group as opposed to the hesitant ones. In a final regression model, all MTM constructs) predicted nearly 65% of variance in initiating COVID-19 vaccination behavior among the vaccine-hesitant group (adjusted R2 = 0.649, F = 32.944, p \u3c 0.001). With each unit increment in MTM constructs (e.g., participatory dialogue and behavior confidence), the initiation of COVID-19 vaccination among vaccine-hesitant Blacks increased by 0.106 and 0.166 units, respectively. Based on the findings of this study a m-health educational intervention to promote COVID-19 vaccine uptake behavior among Blacks is proposed

Assessing the Testability of the Multi-Theory Model (MTM) in Predicting Vaping Quitting Behavior among Young Adults in the United States: A Cross-Sectional Survey.

Purpose: Given the increased exposure to e-cigarettes and nicotine among young adults, difficulty in quitting vaping is likely, which supports the need for effective behavioral interventions. Therefore, this cross-sectional study aims to assess the testability of the contemporary multi-theory model of health behavior change in predicting the vaping quitting behavior among young adults in the United States. Methods: A nationally representative sample of 619 young adults engaged in vaping behavior and aged 18–24 years was recruited to complete a 49-item web-based survey. A structural equation model was used to test relationships between MTM constructs. Hierarchical multiple regression was utilized to predict the variance in the initiation and sustenance of vaping quitting behavior by predictor variables, such as demographic characteristics, history of behaviors, and MTM constructs. Results: Of 619 respondents, over 75% were White and nearly 70% had educational attainment equal to high school or some college. In total, 62% of respondents were using nicotine, followed by 33.3% were using cannabis. About 80% of the respondents reported being engaged in drinking alcohol, and nearly 45% were engaged in cigarette smoking. The predictive effect of all MTM constructs on vaping quitting initiation (adjusted R2 = 0.417, F (23, 595) = 20.215, p \u3c 0.001) and sustenance (adjusted R2 = 0.366, F (23, 595) = 16.533, p \u3c 0.001) was statistically significant. Conclusions: The findings of this study point to the usability and applicability of MTM in operationalizing and developing vaping quitting behavior interventions targeting young adults

Investigating the Psychological Impact of COVID-19 Among Healthcare Workers: A Meta-Analysis

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Previous meta-analyses were conducted during the initial phases of the COVID-19 pandemic, which utilized a smaller pool of data. The current meta-analysis aims to provide additional (and updated) evidence related to the psychological impact among healthcare workers. The search strategy was developed by a medical librarian and bibliographical databases, including Medline, Embase, CINAHL, PsycINFO, and Scopus were searched for studies examining the impact of the COVID-19 pandemic on the psychological health of healthcare workers. Articles were screened by three reviewers. Heterogeneity among studies was assessed by I2 statistic. The random-effects model was utilized to obtain the pooled prevalence. A subgroup analysis by region, gender, quality of study, assessment methods, healthcare profession, and exposure was performed. Publication bias was assessed by Funnel plot and Egger linear regression test. Sixty-five studies met the inclusion criteria and the total sample constituted 79,437 participants. The pooled prevalence of anxiety, depression, stress, post-traumatic stress syndrome, insomnia, psychological distress, and burnout was 34.4%, 31.8%, 40.3%, 11.4%, 27.8%, 46.1%, and 37.4% respectively. The subgroup analysis indicated higher anxiety and depression prevalence among females, nurses, and frontline responders than males, doctors, and second-line healthcare workers. This study highlights the need for designing a targeted intervention to improve resilience and foster post-traumatic growth among frontline responders

Assessing the Psychological Impact of COVID-19 among College Students: An Evidence of 15 Countries

Mental health issues among college students is a leading public health concern, which seems to have been exacerbating during the COVID-19 pandemic. While previous estimates related to psychological burden among college students are available, quantitative synthesis of available data still needs to be performed. Therefore, this meta-analysis endeavors to present collective evidence discussing the psychological impact of COVID-19 among college students. Bibliographical library databases, including Embase, Medline, CINAHL, Scopus, and PsycINFO, were systematically searched for relevant studies. Titles, abstracts, and full articles were screened, and two reviewers extracted data. Heterogeneity was assessed by I-2 statistic. The random-effects model was utilized to obtain the pooled estimates of psychological indicators among college students. Location, gender, level of severity, and quality scores were used as moderator variables for subgroup analyses. Funnel plot and Egger linear regression test was used to assess publication bias. Twenty-seven studies constituting 90,879 college students met the inclusion criteria. The results indicated 39.4% anxiety (95% CI: 28.6, 51.3; I-2 = 99.8%; p-value \u3c 0.0001) and 31.2% depression (95% CI: 19.7, 45.6; I-2= 99.8%, p \u3c 0.0001) among college students. The pooled prevalence of stress (26.0%), post-traumatic stress disorder (29.8%), and impaired sleep quality (50.5%) were also reported. College students bear a disproportionate burden of mental health problems worldwide, with females having higher anxiety and depression levels than males. This study\u27\u27s findings underscore the need to develop appropriate public health interventions to address college students\u27 emotional and psychosocial needs. The policies should be reflective of demographic and socioeconomic differentials

Growth and characterization of crystals for IR detectors and second harmonic gereration devices

Two types of materials, L-arginine phosphate (LAP) and doped triglycine sulfate (TGS), are examined for their growth characteristics and relevant properties for second harmonic generation and IR detector applications, respectively

Differential responsiveness of MET inhibition in non-small-cell lung cancer with altered CBL.

Casitas B-lineage lymphoma (CBL) is an E3 ubiquitin ligase and a molecule of adaptor that we have shown is important for non-small-cell lung cancer (NSCLC). We investigated if MET is a target of CBL and if enhanced in CBL-altered NSCLC. We showed that CBL wildtype cells have lower MET expression than CBL mutant cells. Ubiquitination of MET was also decreased in CBL mutant cells compared to wildtype cells. Mutant cells were also more sensitive to MET inhibitor SU11274 than wild-type cells. sh-RNA-mediated knockdown of CBL enhanced cell motility and colony formation in NSCLC cells, and these activities were inhibited by SU11274. Assessment of the phospho-kinome showed decreased phosphorylation of pathways involving MET, paxillin, EPHA2, and VEGFR. When CBL was knocked down in the mutant cell line H1975 (erlotinib-resistant), it became sensitive to MET inhibition. Our findings suggest that CBL status is a potential positive indicator for MET-targeted therapeutics in NSCLC

Potential biomarkers and therapeutic targets for obsessive compulsive disorder: Evidences from clinical studies

Highlights The study proposes a set of potential biomarkers for obsessive compulsive disorder Methods to assess their concentrations in biological samples are critically analyzed Links between the disorder, diabetes and circadian disruptions are assessed The implications of biomarkers as therapeutic biotargets are discussed Obsessive compulsive disorder (OCD) is a prevalent behavioral disorder with a complex etiology. However, the underlying pathogenic molecular pathways and the associated risk factors are largely obscure. This has hindered both the identification of relevant prognostic biomarkers and the development of effective treatment strategies. Because of the diverse range of clinical manifestations, not all patients benefit from therapies currently practiced in the clinical setting. Nevertheless, several lines of evidence indicate that neurotrophic, neurotransmitter, and oxidative signaling are involved in the pathophysiology of OCD. Based upon evidences from clinical (and pre-clinical studies), the present review paper sets out to decipher the utilities of three parameters (i.e. brain-derived neurotrophic factor; BDNF, noradrenalin-synthesizing enzyme dopamine beta-hydroxylase; DBH; and oxidative damage marker malondialdehyde; MDA) as diagnostic peripheral biomarkers as well as bio-targets for therapeutic strategies. While the data indicates promising results, there is necessitation for future studies to further confirm and establish these. Further, based again on the available clinical data, we investigated the possibilities of exploiting the etiological links between disruptions in the sleep-wake cycle and insulin signaling, and OCD for the identification of potential anti-OCD ameliorative agents with the ability to elicit multimodal effects, including attenuation of the alterations in BDNF, noradrenergic and redox pathways. In this respect, agomelatine and metformin may represent particularly interesting candidates; however, further clinical studies are warranted to establish these as singular or complementary medications in OCD subjects

Predicting Flossing through the Application of the Multi-Theory Model (MTM) of Health Behavior Change among Minority Adolescents in the United States

Adolescents from minority groups are particularly susceptible to poor oral hygiene behaviors, including lack of daily flossing. This cross-sectional study aimed to conduct an exploratory behavioral research to identify evidence-based (theory-based) approaches to promote flossing behavior among African American/Black and Latinx/Hispanic (minority) adolescents. A 39-item psychometrically valid web-based questionnaire was used to collect responses from a nationwide sample of minority adolescents aged 10–17 years residing in the United States. The data were analyzed using bivariate and multivariate statistical methods. Of 520 minority adolescents (260 African American/Black and 260 Latinx/Hispanic adolescents), the proportion of flossing was nearly equally split in the sample. A significantly higher proportion of minority adolescents who were flossing had access to floss as opposed to those who were not flossing (86.8% vs. 69.8%, p \u3c 0.001). A significantly higher proportion of minority adolescents who were not flossing did not visit the dentist over the past year as opposed to those who floss (25.2% vs. 14.7%, p \u3c 0.001). Among the participants who were not flossing, gender, grade level, instruction in school regarding flossing, and multi-theory model (MTM) of health behavior change constructs were the significant predictors (p \u3c 0.001) of initiating and sustaining flossing. The findings of this study will serve as baseline data for developing and evaluating effective evidence-based interventions using the MTM