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Nonsuicidal self-injury (NSSI), the deliberate and direct destruction of one’s own body tissue without suicidal intent, has represented a significant public health concern among adolescents and young adults worldwide, yet they have limited access to evidence-based interventions. App-based digital therapy, with its advantages of high cost-effectiveness, accessibility, and user receptivity, could be an effective intervention for NSSI. We expected that the use of an app-based brief cognitive-behavioral therapy (CBT) would improve depressive symptoms and emotion dysregulation, the most prevalent symptoms among individuals with NSSI.
Objectives
This study aimed to evaluate the efficacy of a 3-week app-based brief CBT program focusing on cognitive distortion correction for individuals with NSSI.
Methods
A total of 34 participants who engaged in NSSI were included in the final analysis, with 18 individuals assigned to the ‘app group’ and 16 to the ‘waitlist group.’ The brief CBT program consisted of three quizzes designed to prompt the users to identify cognitive distortions embedded in a series of short scenarios, develop more realistic perspectives, and imagine advising to significant others. The app group was instructed to complete three quizzes per day for three weeks, while the waitlist group received no intervention.
Results
Baseline and follow-up assessments of depression and emotion regulation were conducted. After the 3-week program, the app group showed a significant reduction in depressive symptoms (F = 8.30, P = .007) compared to the waitlist group. There was no group difference regarding emotion regulation.
Conclusions
Depression is a prominent symptom in individuals with NSSI. Our findings suggest that an app-based brief CBT intervention targeting cognitive distortions can effectively alleviate depression in individuals with NSSI. The results also highlight the need for digital interventions that are tailored and designed to improve emotion regulation in this population.
There are differences in clinical presentation with and without insomnia in MDD, and it is expected that there are brain biological differences that contribute to this, but functional MRI studies of MDD with insomnia vs MDD without insomnia are scarce. In particular, few studies have examined resting state functional connectivity (RSFC) seeding the habenula and septal nuclei, which play key roles in both mood and sleep.
Objectives
The purpose of this study is to determine whether there are differences in habenula and septal nuclei and RSFC in the presence or absence of clinically significant insomnia in patients with MDD.
Methods
To identify the effects of insomnia in MDD group, one-way ANCOVA covariate control was used to compare differences of RSFC between MDD_w/INS and MDD_wo/INS group. The potential confounders (i.e., age, sex, education years, and total score of HDRS-17) were adjusted in this analysis. To examine the relationship between RSFC and clinical sleep questionnaires (i.e., ISI and PSQI) in the participants with MDD, Pearson’s partial correlation analysis controlling same potential confounders was performed by using Fisher-transformed correlation coefficients and scores of ISI and PSQI. For comparing the difference of RSFC between MDD and HC, the analysis was also performed with ANCOVA controlling for age, sex, education years.
Results
The analysis in this study included 36 in the MDD_w/INS group, 21 participants in the MDD_wo/INS group, and 38 in the healthy controls (HC) group. The main finding of this study was that MDD with insomnia showed increased RSFC in Habe_L - Rolandic_Oper_R, Habe_L - Cuneus_R, Habe_R - Thal_Pul_R, and decreased RSFC in Septal - Cerebellum_Crus1_R compared to MDD without insomnia. All regions with significant results were significantly correlated with insomnia severity.
Conclusions
Since the RSFC of all pairs of regions that showed significant differences between the two groups in this study were significantly correlated with insomnia severity (i.e., ISI score), the association of these regions with insomnia in MDD is supported. The significance of this study is that there have been studies that have examined the RSFC in fMRI for insomnia, but there are few studies on MDD with insomnia, and since the habenula and septal nuclei play an important role in insomnia, sleep, and mood, it is meaningful to seed fMRI studies on these areas.
Anxiety disorders are one of the most common mental disorders, yet only less than 20% of people with anxiety disorders receive adequate treatment. Digital interventions for anxiety disorders can potentially increase access to evidence-based treatment. However, there is no comprehensive meta-analysis study that covers all modalities of digital interventions and all anxiety disorders.
Objectives
A preliminary meta-analysis was conducted to examine the treatment efficacy of digital interventions [e.g., virtual reality (VR)-, mobile application-, internet-based interventions] for anxiety disorders and to identify potential moderators that may lead to better treatment outcomes.
Methods
We searched Embase, PubMed, PsycINFO, Web of Science, and the Cochrane Library for randomized controlled trials examining the therapeutic efficacy of digital interventions for individuals with anxiety disorders from database inception to April 18, 2023. Search keywords were developed by combining the PICOS framework and MeSH terms. Data screening and extraction adhered to PRISMA guidelines. We used a random-effects model with effect sizes expressed as Hedge’s g. The quality of the studies was assessed using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2). The study protocol was registered in PROSPERO on April 22, 2023 (CRD42023412139).
Results
A systematic literature search identified 19 studies with randomized controlled trials (21 comparisons; 1936 participants) with high overall heterogeneity (Q = 104.49; P < .001; I2 = 80.9%). Digital interventions reduced anxiety symptoms with medium to large effect sizes (g = 0.78; 95% CI: 0.55-1.02; P < .001), with interventions for specific phobia showing the largest effect size (n = 6; g = 1.22; 95% CI: 0.51-1.93; P < .001). VR-based interventions had a larger effect size (n = 6; g = 0.98; 95% CI: 0.39-1.57; P < .001) than mobile- or internet-based interventions, which had medium effect sizes. Meta-regression results exhibited that effect sizes of digital interventions were associated with the mean age of participants (β = 0.04; 95% CI: 0.02-0.06; P < .001).
Conclusions
The results of this study provide evidence for the efficacy of digital interventions for anxiety disorders. However, this also suggests that the degrees of effectiveness in reducing anxiety symptoms can be moderated by the specific diagnosis, the modalities of digital technologies, and mean age, implying that the application of digital interventions for anxiety disorders should be accompanied by personalized guidance.
This study describes the illness burden in the first year of life for children with single-ventricle heart disease, using the metric of days alive and out of hospital to characterize morbidity and mortality.
Methods:
This is a retrospective single-centre study of single-ventricle patients born between 2005 and 2021 who had their initial operation performed at our institution. Patient demographics, anatomical details, and hospitalizations were extracted from our institutional single-ventricle database. Days alive and out of hospital were calculated by subtracting the number of days hospitalized from number of days alive during the first year of life. A multivariable linear regression with stepwise variable selection was used to determine independent risk factors associated with fewer days alive and out of hospital.
Results:
In total, 437 patients were included. Overall median number of days alive and out of hospital in the first year of life for single-ventricle patients was 278 days (interquartile range 157–319 days). In a multivariable analysis, low birth weight (<2.5kg) (b = −37.55, p = 0.01), presence of a dominant right ventricle (b = −31.05, p = 0.01), moderate-severe dominant atrioventricular valve regurgitation at birth (b = −37.65, p < 0.05), index hybrid Norwood operation (b = −138.73, p < 0.01), or index heart transplant (b = −158.41, p < 0.01) were all independently associated with fewer days alive and out of hospital.
Conclusions:
Children with single-ventricle heart defects have significant illness burden in the first year of life. Identifying risk factors associated with fewer days alive and out of hospital may aid in counselling families regarding expectations and patient prognosis.
Physically compliant actuator brings significant benefits to robots in terms of environmental adaptability, human–robot interaction, and energy efficiency as the introduction of the inherent compliance. However, this inherent compliance also limits the force and position control performance of the actuator system due to the induced oscillations and decreased mechanical bandwidth. To solve this problem, we first investigate the dynamic effects of implementing variable physical damping into a compliant actuator. Following this, we propose a structural scheme that integrates a variable damping element in parallel to a conventional series elastic actuator. A damping regulation algorithm is then developed for the parallel spring-damping actuator (PSDA) to tune the dynamic performance of the system while remaining sufficient compliance. Experimental results show that the PSDA offers better stability and dynamic capability in the force and position control by generating appropriate damping levels.
There is limited evidence on heterogenous co-developmental trajectories of internalizing (INT) and externalizing (EXT) problems from childhood to adolescence and predictors of these joint trajectories. We utilized longitudinal data from Raine Study participants (n = 2393) to identify these joint trajectories from 5 to 17 years using parallel-process latent class growth analysis and analyze childhood individual and family risk factors predicting these joint trajectories using multinomial logistic regression. Five trajectory classes were identified: Low-problems (Low-INT/Low-EXT, 29%), Moderate Externalizing (Moderate-EXT/Low-INT, 26.5%), Primary Internalizing (Moderate High-INT/Low-EXT, 17.5%), Co-occurring (High-INT/High-EXT, 17%), High Co-occurring (Very High-EXT/High-INT, 10%). Children classified in Co-occurring and High Co-occurring trajectories (27% of the sample) exhibited clinically meaningful co-occurring problem behaviors and experienced more adverse childhood risk-factors than other three trajectories. Compared with Low-problems: parental marital problems, low family income, and absent father predicted Co-occurring and High Co-occurring trajectories; maternal mental health problems commonly predicted Primary Internalizing, Co-occurring, and High Co-occurring trajectories; male sex and parental tobacco-smoking uniquely predicted High Co-occurring membership; other substance smoking uniquely predicted Co-occurring membership; speech difficulty uniquely predicted Primary Internalizing membership; child’s temper-tantrums predicted all four trajectories, with increased odds ratios for High Co-occurring (OR = 8.95) and Co-occurring (OR = 6.07). Finding two co-occurring trajectories emphasizes the importance of early childhood interventions addressing comorbidity.
This study aimed to map the maturity of precision oncology as an example of a Learning Health System by understanding the current state of practice, tools and informatics, and barriers and facilitators of maturity.
Methods:
We conducted semi-structured interviews with 34 professionals (e.g., clinicians, pathologists, and program managers) involved in Molecular Tumor Boards (MTBs). Interviewees were recruited through outreach at 3 large academic medical centers (AMCs) (n = 16) and a Next Generation Sequencing (NGS) company (n = 18). Interviewees were asked about their roles and relationships with MTBs, processes and tools used, and institutional practices. The interviews were then coded and analyzed to understand the variation in maturity across the evolving field of precision oncology.
Results:
The findings provide insight into the present level of maturity in the precision oncology field, including the state of tooling and informatics within the same domain, the effects of the critical environment on overall maturity, and prospective approaches to enhance maturity of the field. We found that maturity is relatively low, but continuing to evolve, across these dimensions due to the resource-intensive and complex sociotechnical infrastructure required to advance maturity of the field and to fully close learning loops.
Conclusion:
Our findings advance the field by defining and contextualizing the current state of maturity and potential future strategies for advancing precision oncology, providing a framework to examine how learning health systems mature, and furthering the development of maturity models with new evidence.
Virtual reality exposure therapy (VRET) is a treatment in a virtual environment based on the representation of a patient’s disease in virtual reality. VRET means getting used to a specific situation by intentionally facing the patient’s fearful situation based on the ‘exposure technique.’ By repeatedly exposing the patient to a fearful situation, in the end, inducing the intensity of fear to decrease without avoiding the situation. Virtual reality exposure therapy (VRET) was initially used to treat phobias, anxiety disorders, and stress. It has been proven to be an effective psychotherapy method mainly focusing on acrophobia, flight phobia, arachnophobia, social phobia, and post-traumatic stress disorder (PTSD).
Objectives
Virtual reality exposure therapy (VRET) is used to treat phobias, anxiety disorders, and stress. The virtual reality treatment system can reproduce virtual scenes with the environment modified or removed, and can familiarize patients with such environments. This study aims to verify the degree of improvement of the symptoms of panic disorder by conducting VRET that we have made considering the degree of gradual exposure to the panic disorder group and the control group.
Methods
A total of 60 subjects were included in this study, including 43 patients with panic disorder and 17 control group. Subjects were systematically exposed to specific situations over five steps. We checked the heart rate, body temperature, EEG and symptoms before and after exposure using the following assessment instruments; Subjective Units of Discomfort (SUD), Anxiety Sensitivity Index (ASI), Panic Disorder Severity Scale. Repeated measures ANOVA was performed separately for presence, SUDS (distress) scores, and PDSS across time points.
Results
In the patient group, the program proved to be effective as the sensitivity to anxiety decreased significantly after the VR program (F=3.570, p<0.05). Among the subcategories of ASI, the fear of anxiety symptoms showed statistical significance between sessions (F=3.883, p<0.05) and in the interaction between group and time (F=4.585, p<0.01). The study confirmed the effectiveness of the VR program in situations that mainly induce panic attacks in patients diagnosed with panic disorder (elevator riding, driving a car, driving a car in a tunnel, driving a car in rain). The program effect was significant through repeated measurement ANOVA for each variable of EEG (Alpha, Beta, Delta, Gamma, Theta) (F=3.249, p<0.01).
Conclusions
VRET is the process of gradually being exposed to fear stimuli, deliberately confronting and experiencing a fear situation, and learning that nothing dangerous will happen. Even if the patient experiences bodily sensations that are the subject of fear, they can reduce their fear of bodily sensations by repeatedly confirming that they are safe and getting used to them.
For 147 hospital-onset bloodstream infections, we assessed the sensitivity, specificity, positive predictive value, and negative predictive value of the National Healthcare Safety Network surveillance definitions of central-line–associated bloodstream infections against the gold standard of physician review, examining the drivers of discrepancies and related implications for reporting and infection prevention.
Previous research has shown that people with disabilities are disproportionately vulnerable to symptoms of psychological distress after exposure to armed conflict. Past work has also shown that individuals displaced by conflict are at heightened risk of post-traumatic stress. Using a national online sample of Ukrainians in the early weeks of the 2022 Russian invasion, we aim to examine associations between functional disability and symptoms of post-traumatic stress.
Methods
We examined the association between levels of functional disability in the Ukrainian population and symptoms of post-traumatic stress during the 2022 Russian invasion of Ukraine. We analysed data from a national sample of 2000 participants from across this country, assessing disability using the 12-item World Health Organization Disability Assessment Schedule (WHODAS-12)(six domains of disability) and the International Trauma Questionnaire assessment of post-traumatic stress disorder (PTSD) symptomatology according to the Eleventh Edition of The International Classification of Diseases (ICD-11). Moderated regression examined the impact of displacement status on the disability–post-traumatic stress relationship.
Results
Different domains of disability predicted post-traumatic stress symptoms (PTSSs) to varying extents, with overall disability score significantly associated with PTSSs. This relationship was not moderated by displacement status. Consistent with previous research, females reported higher levels of post-traumatic stress.
Conclusions
In a study of a general population during a time of armed conflict, individuals with more severe disabilities were at greater risk of PTSSs. Psychiatrists and related professionals should consider pre-existing disability as a risk factor for conflict-related post-traumatic stress.
Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact.
Methods:
We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations.
Results:
BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI.
Conclusions:
We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.
To evaluate oral antibiotic prescribing for common infections at hospital discharge before and after implementation of a pharmacist-driven transitions-of-care (TOC) program.
Design:
Single-center before-and-after study.
Setting:
Acute-care, academic, community hospital in Santa Barbara, California.
Patients:
Eligible adult patients prescribed oral antibiotics at hospital discharge for community-acquired pneumonia, skin and soft-tissue infections, and urinary tract infections between September 2019 and December 2019 (preimplementation period) and between March 2021 and May 2021 (postimplementation period).
Intervention:
Antimicrobial stewardship–initiated, department-wide, TOC program requiring all clinical pharmacists to review discharge antibiotic prescriptions in real time.
Results:
In total, 260 antibiotic prescriptions were assessed for appropriateness: 140 before implementation and 120 after implementation. After implementation, the number of prescriptions considered inappropriate significantly decreased by 18% (52% vs 34%; P = .005). Inappropriate rates decreased in all assessment categories: dosing (15% vs 2%; P < .001), treatment duration (42% vs 31%; P = .08), antibiotic selection based on infection type or microbiology (8% vs 4%; P = .33), and antibiotics not indicated (16% vs 10%; P = .18). Median total antibiotic days decreased by 1 day after implementation (10 days vs 9 days; P = .67), and 30-day readmission rates were similar between both phases.
Conclusions:
A real-time, pharmacist-driven, TOC program for oral antibiotic prescriptions had a significant impact in reducing inappropriate prescribing of antibiotics at hospital discharge for common infections. Incorporating discharge antibiotic prescription review into pharmacist daily workflow may be a sustainable approach to outpatient antimicrobial stewardship in a setting with limited resources.
This study aimed to compare the prognostic utility of sentinel node biopsy and elective neck dissection in early stage clinically node-negative oral cavity squamous cell carcinoma patients.
Method
PubMed, Scopus, Embase, Web of Science and Cochrane Library databases were searched up to March 2022. Hazard ratios, Kaplan–Meier curves, p-values and survival outcomes were extracted.
Results
Twelve studies involving 10 583 patients were included. No significant differences in overall survival between sentinel node biopsy and elective neck dissection groups were found. Heterogeneity was not detected in pooled overall survival, disease-free survival and disease-specific survival analyses (all I2 less than 50). In subgroup analyses by follow-up period, sentinel node biopsy and elective neck dissection had similar prognostic value.
Conclusion
Sentinel node biopsy might be a valuable alternative to elective neck dissection for the management of early stage clinically node-negative oral cavity squamous cell carcinoma.
Power spectral analysis is the most common method of quantitative electroencephalogram (qEEG) techniques and enables investigation of the microstructure of insomnia. Previous spectral analysis studies on insomnia have shown inconsistent results due to their heterogeneity and small sample sizes.
Objectives
We compared the difference of electroencephalogram (EEG) spectral power during sleep among participants without insomnia, insomniacs with no hypnotic use, hypnotic users with no insomnia complaints, and hypnotic users with insomnia complaints.
Methods
We used the Sleep Heart Health Study data, which is large sample size and has good quality control. The fast Fourier transformation was used to calculate the EEG power spectrum for total sleep duration within contiguous 30-second epochs of sleep. For 1,985 participants, EEG spectral power was compared among the groups while adjusting for potential confounding factors that could affect sleep EEG.
Results
The power spectra during total sleep differed significantly among the groups in all frequency bands (p corr < 0.001). We found that quantitative EEG spectral power in the beta and sigma bands of total sleep differed (p corr < 0.001) between participants without insomnia and hypnotic users with insomnia complaints after controlling for potential confounders. The higher beta and sigma power were found in the hypnotic users with insomnia complaints than in the non-insomnia participants.
Conclusions
This study suggests differences in the microstructures of polysomnography-derived sleep EEG between the insomnia groups.
This study aimed to analyse surgical outcomes of paediatric patients with congenital cholesteatoma according to age.
Method
This was a retrospective study reviewing the records of 186 children (136 boys and 50 girls) from August 1993 to January 2016. Patients were divided into three age groups (equal to or less than 3 years, over 3 and less than 7 years, and 7 to 15 years).
Results
There were significant differences in chief complaints, location of cholesteatoma in the middle ear, computed tomography findings, operation methods, ossicular erosion and type of cholesteatoma sac among the three groups. In addition, older age, open type cholesteatoma, ossicular erosion and mastoid invasion of cholesteatoma increased the recurrence rate after surgery. However, despite higher pre-operative air–bone gap in older children, hearing can be improved enough after proper surgery with ossicular reconstruction.
Conclusion
Delayed detection of paediatric cholesteatoma can lead to extensive disease and the need for an aggressive operation, which can result in worse hearing outcomes and an increased recurrence risk.
Intense acoustic loads from jet noise cause noise pollution and induce failures, such as the malfunctioning of electronic devices and fatigue failure of internal/external structures. Consequently, the prediction of jet noise characteristics is crucial in the development of high-speed vehicles. This study presents acoustic experiments and predictions for an under-expanded, unheated jet using a small-scale prototype. Outdoor measurements are carried out using a vertical ejection setup. Acoustic characteristics are measured using both linear and circular microphone arrays. Additionally, numerical prediction of the same jet noise is performed using a detached eddy simulation and the permeable Ffowcs-Williams and Hawkings acoustic analogy. The vertical experimental setup exhibits the typical acoustic characteristics of a supersonic jet in terms of directivity and broadband shock-associated noise. Moreover, the numerical prediction exhibits satisfactory accuracy for the jet downstream, where the large-scale turbulence structures of the directivity predominate. However, discrepancy increases in the domain of lower directivity. The presented experiment and prediction will be extended to future studies regarding the noise of various deflector duct configurations impinging on supersonic jets.
Hwa-Byung is a unique syndrome based on social-cultural background of South Korea. However, the definition of Hwa-Byung has not been established. For example, Hwa-Byung Diagnostic Interview Schedule(Kim, Kwon, Lee & Park, 2004) and Hwa-Byung Scale(Kwon et al., 2008) that are generally used in clinical practices defined Hwa-Byung differently. According to this, there is a slight difference in the symptoms that are measured.
Objectives
The purpose of our study is to establish the concept and symptoms of Hwa-Byung.
Methods
First, we review DSM-4, previous literatures and concept of Hwa-Byung in assessment tools. Through this, core features and characteristic symptoms are consisted. Second, a concept of Hwa-Byung that this study constructed is reviewed by clinical psychologists and Korean oriental psychiatrists. Finally, concepts and symptoms are defined.
Results
Comprehensive definition of Hwa-Byung is established. Hwa-Byung was identified as a syndrome with symptoms that exploded in the form of anger because emotions such as anger could not be resolved. psychological symptoms include resentment, the baggage of mind, or a representative symptom of han. And physical symptoms include feeling heavy, heat, rush, lumps in the neck or chest. Finally, these physical and psychological symptoms are associated with distinct stressful events.
Conclusions
Our study defined the concept and categorized for physical and emotional symptoms of Hwa-Byung. This result suggests that it can contribute to the development and revision of the Hwa-Byung assessment tools.
Jellyfish galaxies are starburst galaxies with ram-pressure-stripped tails and blue star-forming knots. These galaxies show a snapshot of star formation enhancement triggered by ram pressure stripping (RPS), being important targets for studying the RPS-induced star formation in gas-rich galaxies. Here we investigate the star formation activity of five jellyfish galaxies in massive clusters, using Gemini GMOS/IFU observations. From the Hα-derived star formation rates (SFRs), we find that our sample shows higher SFR excess to the star formation main sequence than the jellyfish galaxies in low-mass clusters. From the compiled sample of jellyfish galaxies in low-mass to high-mass host clusters, we suggest that the star formation activity of jellyfish galaxies has positive correlations with host cluster mass and degree of RPS. These relationships imply that higher ram pressure environments tend to trigger stronger starbursts in jellyfish galaxies in the early stage of RPS.