Discover mental health最新文献

Background: Anxiety among adolescents may lead to disability and has a tremendous impact on one's quality of life. The alarming COVID-19 pandemic is expected to increase the anxiety level of adolescents especially with enforced governmental management strategies. This study will assess anxiety symptoms among secondary school students during the COVID-19 pandemic in Qatar.

Methods: We conducted an analytical cross-sectional study among adolescents attending independent secondary schools in Qatar. First, potential participants were invited through Microsoft teams. Next, a total of 750 participants were assessed through the Generalized Anxiety Disorder-7 (GAD-7) tool. We then conducted descriptive analyses and the Chi-square test to examine significant determinants of anxiety, which was followed by logistic regression analysis. In the end, the scale was tested for its internal consistency using Cronbach's alpha.

Results: Anxiety symptoms were seen in 37.2% of the participants. Female gender, previous history of mental illness, comorbidities, permissive parenting style, and spending more than 12 h per day on the internet were significant determinants of anxiety. Furthermore, a previous history of mental illness, low perceived social support, isolation, and social distancing predicted anxiety.

Conclusions: Anxiety is common among secondary school students in Qatar, and preventive interventions must target the determinants, especially during a pandemic.

The COVID-19 pandemic is a serious public health threat that many countries in the world are facing. While several measures are being taken to minimize the spread of infection, mental health efforts must address psychological challenges due to the pandemic. This commentary reflects on original research from earlier epicenters of COVID-19 and identifies effective practices and suggestions applicable to mental health interventions in the North American context. Tailored mental health services need to be provided for populations that are at high risk of infection. Suggested interventions targeting specific population groups, such as healthcare workers, COVID-19 patients, and vulnerable populations, are discussed.

This manuscript reviews the clinical evidence regarding single-dose intravenous (IV) administration of the novel glutamatergic modulator racemic (R,S)-ketamine (hereafter referred to as ketamine) as well as its S-enantiomer, intranasal esketamine, for the treatment of major depressive disorder (MDD). Initial studies found that a single subanesthetic-dose IV ketamine infusion rapidly (within one day) improved depressive symptoms in individuals with MDD and bipolar depression, with antidepressant effects lasting three to seven days. In 2019, esketamine received FDA approval as an adjunctive treatment for treatment-resistant depression (TRD) in adults. Esketamine was approved under a risk evaluation and mitigation strategy (REMS) that requires administration under medical supervision. Both ketamine and esketamine are currently viable treatment options for TRD that offer the possibility of rapid symptom improvement. The manuscript also reviews ketamine's use in other psychiatric diagnoses-including suicidality, obsessive-compulsive disorder, post-traumatic stress disorder, substance abuse, and social anxiety disorder-and its potential adverse effects. Despite limited data, side effects for antidepressant-dose ketamine-including dissociative symptoms, hypertension, and confusion/agitation-appear to be tolerable and limited to around the time of treatment. Relatively little is known about ketamine's longer-term effects, including increased risks of abuse and/or dependence. Attempts to prolong ketamine's effects with combined therapy or a repeat-dose strategy are also reviewed, as are current guidelines for its clinical use. In addition to presenting a novel and valuable treatment option, studying ketamine also has the potential to transform our understanding of the mechanisms underlying mood disorders and the development of novel therapeutics.

Background: The acceptability of teachers delivering task-shifted mental health care to their school-aged students is understudied. Here, we evaluate teachers', students', and caregivers' acceptability of Tealeaf (Teachers Leading the Frontlines), an alternative system of care in which teachers are trained and supervised to deliver transdiagnostic, non-manualized task-shifted care to their students.

Methods: In a 2019 single-arm, mixed methods, pragmatic acceptability pilot study in Darjeeling, India, 13 teachers delivered task-shifted child mental health care to 26 students in need. Teachers delivered care through using a transdiagnostic, non-manualized therapy modality, "education as mental health therapy" (Ed-MH). Measured with validated scales, teachers' and students' acceptability were compared after teacher training (PRE) and at the end of intervention (POST) using paired t tests. Teachers (n = 7), students (n = 7), and caregivers (n = 7) completed semi-structured interviews POST.

Results: Teachers' quantitative measures indicated moderate acceptability PRE and POST and did not change PRE to POST. Children's measures showed acceptability PRE and POST but decreased PRE to POST. Teachers and caregivers universally expressed acceptability in interviews. Facilitators of acceptability included impact, trust of teachers, and teachers' ability to make adaptations. Conditions required for acceptability included supervision and teachers emphasizing academics benefits over mental health benefits to caregivers. Barriers to acceptability included a lack of teacher time and stigma. Interviewed students universally were unaware of receiving care; teachers intentionally avoided singling them out.

Conclusion: Teachers, caregivers, and children found teacher delivering task-shifted care acceptable, a key factor in care adoption and sustainability, though interviewed children were unaware of receiving care.Trial registration The trial was registered on January 01, 2018 with Clinical Trials Registry-India (CTRI), Reg. No. CTRI/2018/01/011471, Ref. No. REF/2017/11/015895. http://ctri.nic.in/Clinicaltrials/pdf_generate.php?trialid=21129&EncHid=&modid=&compid=%27,%2721129det%27.

Supplementary information: The online version contains supplementary material available at 10.1007/s44192-022-00024-z.

The present commentary discusses how social media big data could be used in mental health research to assess the impact of major global crises such as the COVID-19 pandemic. We first provide a brief overview of the COVID-19 situation and the challenges associated with the assessment of its global impact on mental health using conventional methods. We then propose social media big data as a possible unconventional data source, provide illustrative examples of previous studies, and discuss the advantages and challenges associated with their use for mental health research. We conclude that social media big data represent a valuable resource for mental health research, however, several methodological limitations and ethical concerns need to be addressed to ensure safe use.

In the current COVID-19 pandemic there are reports of deteriorating psychological conditions among university students in lower-middle-income countries (LMICs), but very little is known about the gender differences in the mental health conditions on this population. This study aims to assess generalized anxiety disorder (GAD) among university students using a gender lens during the COVID-19 pandemic. A cross-sectional study was conducted using web-based Google forms between May 2020 and August 2020 among 605 current students of two universities in Bangladesh. Within the total 605 study participants, 59.5% (360) were female. The prevalence of mild to severe anxiety disorder was 61.8% among females and 38.2% among males. In the multivariable logistic regression analysis, females were 2.21 times more likely to have anxiety compared to males [AOR: 2.21; CI 95% (1.28-53.70); p-value: 0.004] and participants' age was negatively associated with increased levels of anxiety (AOR = 0.17; 95% CI = 0.05-0.57; p = 0.001). In addition, participants who were worried about academic delays were more anxious than those who were not worried about it (AOR: 2.82; 95% CI 1.50-5.31, p = 0.001). These findings of this study will add value to the existing limited evidence and strongly advocate in designing gender-specific, low-intensity interventions to ensure comprehensive mental health services for the young adult population of Bangladesh.

Sustained remission from substance use disorder (SUD) is challenged by high relapse rates, which provides opportunities for novel clinical interventions. Immersive virtual reality (VR) permits delivering synthetic experiences that feel real and actualizes otherwise impossible scenarios for therapeutic benefit. We report on the feasibility of an immersive VR intervention designed to increase valuation of the future by enhancing future self-continuity and leveraging future self-discrepancy with personalized future selves as SUD recovery support. Twenty-one adults in early SUD recovery (< 1 year) interacted with versions of themselves age-progressed fifteen years from two different behavioral trajectories: an SUD Future Self and a Recovery Future Self. The future selves' interactive monologs include personalized details and voice for a lifelike interaction within a time travel vignette. Before and following the intervention, participants rated future self-continuity and performed delay discounting. Following the intervention, daily images of the Recovery Future Self were sent to participants' smartphones for thirty days. The VR intervention generated no adverse events, was well tolerated (presence, liking, and comfort), and significantly increased future self-continuity and delayed reward preference (doubling delay tolerance). The intervention also reduced craving, ps < 0.05. Thirty days later, n = 18 remained abstinent; importantly, increased future self-similarity persisted. Abstainers' future self-similarity increased following VR. All individual participants showing increased future self-similarity post-VR remained abstinent, and all participants who relapsed showed either reduced or zero effect on future self-similarity. Post-intervention semi-structured interviews revealed emotional engagement with the experience. VR simulation of imagined realities reifies novel clinical interventions that are practicable and personalized. The current study demonstrates an implementation readily applied in the clinic and shows promise for facilitating SUD recovery. Creative collaboration between researchers, clinicians, and VR developers has great potential to revolutionize mental health interventions and expand the range of tools for clinicians targeting SUD and other disorders.

Supplementary information: The online version contains supplementary material available at 10.1007/s44192-022-00022-1.

The increasing spread of digital technologies and respective consequences for the way we live, work, and communicate can evoke feelings of tension and discomfort. This so-called digitalisation anxiety is related to existing and future technologies, includes the process of digitalisation in everyday life, and refers to multiple levels (the individual, organisations, and society). Existing scales measuring technology-related fears due not adequately reflect these features. Therefore, we developed the German version of the Digitalisation Anxiety Scale (DAS). Having generated items based on a qualitative interview study (Study 1, n = 26), we demonstrated the DAS's factor structure, internal consistency and construct validity in Study 2a (n = 109) and test-retest reliability in Study 2b (n = 30). In Study 3 (n = 223), the scale's structure was confirmed and correlates of digitalisation anxiety were examined. The final version of the DAS consists of 35 items with a four-factor structure (societal triggers for digitalisation anxiety, triggers related to interaction and leadership, triggers within oneself and triggers resulting from the digitalisation implementation process). Digitalisation Anxiety had negative relationships with well-being and performance. The scale allows practitioners and researchers to measure and benchmark individuals' levels of digitalisation anxiety, and to track changes over time. The scale can inform interventions aiming at reducing digitalisation anxiety and stress resulting from digitalisation.

Climate change represents a major global challenge. Some hallmarks of climate change that have been connected to human activity include an increase of 0.8-1.2 °C in global temperatures as well as the warming of upper ocean water. Importantly, approximately 500 million people worldwide face the consequences of desertification. Simultaneously, the world population has grown from 1.6 billion in 1900 to 7.7 billion today, greatly exacerbating the human toll of devastating environmental disasters, which result in increasingly larger and more common mass migrations that also fuel human trafficking and modern-day slavery. The mental health outcomes are staggering and include, in the context of chronic stress, addiction, anxiety disorders, post-traumatic stress disorder (PTSD), bipolar disorder, major depression, and suicidality. Mental health practitioners, healthcare systems, and governments across the world need to be prepared to address the mental health sequelae of climate change.

Since the beginning of the COVID-19 pandemic, much research has been done on the psycho-social consequences, especially for children, adolescents and families. In the long run, there is a large set of quantitative data available. However, these still seem to be not well understood. Theoretical classifications of the evidence also diagnostic tools still seem to be open. This paper elaborates a possible systematisation based on theoretical models of systemic self-organisation theories. This leads to a model for a comprehensive psycho-social child-in-environment diagnostic to map potential problem areas. Such a theoretical framing should enable both: a deeper understanding of the impact of pandemics on young people and hypotheses for intervention strategies in the context of pandemic management as well as in the context of diagnostic-systemic interventions in psycho-social working settings. In the coming months and years, it will be essential to be able to understand and describe psychosocial disabilities that have developed in the context of the pandemic in a differentiated way in order to establish targeted interventions.