Emotional Quality Research Articles

Correlates of self-rated resilience following traumatic brain injury.

Resilience reflects the capacity of persons to continue to function in a positive way in the context of adverse conditions. Prior research has suggested that resilience may affect emotional adjustment and quality of life after traumatic brain injury (TBI). The purpose of this investigation was to determine to what extent self-rated resilience influences cognitive test performance after TBI. We conducted a retrospective analysis of data collected during routine clinical care over a period of about 3 years at a regional rehabilitation facility. Participants included 100 adult persons with TBI (46% uncomplicated mild injury, 32% complicated mild injury and 22% severe injury). They had been clinically referred and seen for an outpatient neuropsychological evaluation within 1-36 months post injury. Main measures included the Connor-Davidson Resilience Scale-10 (CD - RISC-10), Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder-7 (GAD-7), and Trail MakingTest (TMT). Self-rated resilience, as reflected in CD - RISC-10 ratings, had strong negative correlations with symptoms of depression (PHQ-9) and anxiety (GAD-7). As expected, worse injury severity, older age and lower education level were associated with worse performance on both parts of the TMT (all p's< .03). Importantly, beyond those influences, self-rated resilience was also positively associated with TMT performance. However, this was the case only in those who had threshold levels of normal resilience. Across the range of TBI severity, resilience as self-rated on the CD - RISC-10 is strongly related to subjective symptoms of anxiety and depression. It does not have a linear relationship with objective cognitive test performance. Instead, a minimum level of normal resilience is needed in order for it to support cognition after TBI. Findings of sub-threshold levels of resilience would support interventions to boost it and thereby potentially improve outcomes.

Improving telemedicine: evaluating emotional recognition for better patient-consultant interaction

Abstract The rise of telemedicine, particularly in mental health, has transformed care delivery by providing increased accessibility and convenience. However, accurately recognizing and interpreting patient emotions remains a significant challenge. This study evaluates the usability and acceptance of an emotional recording feature integrated into a telemedicine app, focusing on mental health professionals (consultants) and their patients. Using the Technology Acceptance Model and usability test, we assessed perceived usefulness, ease of use, attitude towards use, and behavioral intention to use the feature. A total of 20 consultants and 20 patients participated, and the use of the feature for a week was analyzed. Results indicated that patients reported higher perceived usefulness and behavioral intention to use the feature compared to consultants. Both groups found the feature easy to use, with no significant differences in perceived ease of use. Consultants exhibited more positive attitudes towards the feature, while patients showed more variability. The overall System Usability Scale (SUS) scores indicated high usability for the feature. Emotional report frequency among patients varied widely, reflecting differing levels of engagement. These findings suggest that the emotional recording feature is well-received, with high usability and acceptance among both consultants and patients. Future research should include clinical trials to evaluate the impact on therapeutic outcomes, expand the sample size, and explore ways to enhance user engagement. This study underscores the potential of emotion recognition tools to improve mental health care delivery in telemedicine.

Emotions in mathematics learning: a systematic review and meta-analysis

Abstract Academic emotions play a crucial role in mathematics learning, significantly influencing motivation, academic achievement, and career aspirations in mathematics. With the notable increase in research on emotions in recent years, our review uses Pekrun’s control-value theory with two primary objectives: to systematically describe the characteristics of emotions in recent research through a systematic review, and to synthesize evidence on the relationships between specific emotions, control-value antecedents, and mathematics achievement via a meta-analysis. The systematic review of 112 studies revealed that more than 100 specific emotions have been addressed in recent research, which we analyzed based on key emotion characteristics: valence and activation, type of object, temporal stability, and social context. The findings from the systematic review provide an overview of mathematics-specific objects that emotions have referred to in the most recent research. The subsequent meta-analysis demonstrated that mathematics achievement (e.g., test scores and grades) was positively related to enjoyment, hope, and pride ( $$\overline{r}$$ r ¯ = .247, .224, and .344, respectively) but negatively related to anger, boredom, frustration, hopelessness, and shame ( $$\overline{r}$$ r ¯ = − .322, − .187, − .207, − .378, and − .291, respectively). Theoretical and practical implications of these results are discussed.

Emotional characteristics and intrinsic brain network functional connectivity among adults aged 75.

Despite having a meaningful impact on quality of life, emotional well-being is often understudied in older adults in favor of cognitive performance, particularly when examining association with neurobiological function. Socially-isolated older adults have poorer emotional health than their non-isolated peers and are at increased risk of dementia. Characterizing neurobiological correlates of emotional characteristics in this population may help elucidate pathways which link social isolation and dementia risk. In a sample of 50 socially-isolated older adults aged 75+ years ("older-old"; 30 with mild cognitive impairment; 20 with unimpaired cognition), we use the NIH Toolbox Emotion Battery (NIHTB-EB) to examine associations between emotional characteristics and fMRI-derived intrinsic brain network functional connectivity. We found a positive association between the default mode network (DMN) connectivity and negative affect. Amygdala-ventromedial prefrontal cortex connectivity was negatively associated with psychological well-being, and positively associated with negative affect. These results did not survive correction for multiple comparisons. These findings replicate, in a sample of socially-isolated older-old adults, previous work highlighting the relationship between amygdala-vmPFC connectivity and individual differences in emotional health, with more inverse connectivity associated with better emotional characteristics.

Race and Gender Bias in Narrative Letters of Recommendation for Plastic Surgery Residency Applicants.

It has been previously shown that gender bias exists in standardized letters of recommendation for plastic surgery residency. However, similar analysis has not been conducted for narrative letters of recommendation (NLORs). Therefore, this study aims to determine if there exists linguistic bias in NLORs for plastic surgery residency based on applicants' and writers' gender and race. The sample included applicants to a 6-y integrated plastic surgery residency program within application cycles from 2021 to 2023. The exclusion criteria included reapplicants and applicants without NLORs. Applicant demographics were self-identified. Faculty gender was identified through public online platforms and faculty race through Namsor, validated artificial intelligence software for name classification. The Linguistic Inquiry and Word Count program was used to calculate the amount of words in each NLOR that fell within predetermined linguistic categories, such as power and social behavior. Descriptive statistics and Wilcoxon rank-sum tests were used in the analysis were appropriate. Six hundred twenty-six unique applicants had at least one NLOR. Female writers used more descriptive evaluations of applicants compared to male writers with greater emphasis on applicants' social and emotional qualities. White writers used more words conveying negative tone to describe non-White applicants. Non-White writers used more word describing accomplishment, drive, and social qualities of non-White applicants compared to White Applicants. Analysis of NLORs revealed differences related to gender and race. Female writers produced more favorable recommendations than male writers. Racial discordance between writer and applicant resulted in differences in the letter quality. Faculty education to improve the objectivity of NLORs is necessary.

Information gap based knowledge distillation for occluded facial expression recognition

Information gap based knowledge distillation for occluded facial expression recognition

How can emotion and familiarity improve own-name oddball paradigms?

The own-name paradigm is used to assess the depth of consciousness disorders in patients in intensive care units. This auditory oddball paradigm elicits a positive event-related potential at 300 ms (named P300) after the presentation of a deviant auditory stimulus, here the subject's own-name. This P300 likely reflects the neural processing of the novel stimulus, which can trigger a behavioral response. Presence of a P300 response is considered to be indicative of a good prognosis for recovering to wakefulness in post-anoxic coma patients. However, its prognostic performance is insufficient and some disorders of consciousness patients without a P300 response will nevertheless awake. The auditory P300 response is influenced by the acoustic characteristics of the stimuli. The use of stimuli with an emotional valence may recruit additional brain networks besides the auditory and attentional ones and potentially improve the prognostic value of the P300 response. Moreover, better characterization of the recruitment of different brain networks involved in these P300 responses in response to emotional stimuli would help in understanding the surface event-related potentials. Here, we present two kind of emotional acoustic features that can be used in these paradigms: "smiling" versus "rough" voice and the familiarity of the voice.

Ancient Era Hospitals “Asclepions” and their Heritage to the Day

Asclepios is the god of medicine and health in mythology. In ancient times, healing was sought in the worship of Asclepios. Ancient hospitals built in the name of Asclepios are called “Asclepion”. In ancient times, around three hundred and twenty Asclepions were built within the borders of Greece and Türkiye today. The most important of these ancient hospitals are located in Epidauros, Pergamon, Kos, Athens and Knidos. There was also a health center (an ancient hospital) in Allianoi. In this study, the most significant locations, architectural features, treatment methods, historical and cultural roles of the ancient hospitals among the Asclepions in Western Anatolia and Greece were investigated. When the treatment methods in Asclepions are examined, it is seen that holistic medical practices were applied with a biopsychosocial approach to the patients called guests. Diseases were not seen as one-dimensional but as the result of complex processes and negative environmental, social and psychological interactions. Patients were treated with respect as beings with mental, ethical, emotional, social, moral and natural characteristics. Centuries earlier in Asclepions, the first functional applications of hospital architecture and individual and holistic medical approaches are seen. We think that today's hospital architecture and treatment approaches have many features that can be learned from the heritage of ancient hospitals in history.

The Relation of Attitudes towards Menopause of Postmenopausal and Premenopausal Women to Sexual Life and Quality of Life

Objective: The study examined the relation of postmenopausal and premenopausal women's attitudes towards menopause to sexual life and quality of life. Material and Method: The sample of this descriptive study consisted of a total of 322 married women who were in the postmenopausal (n=161) and premenopausal (n=161) periods. The data were collected using the Personal Information Form, Attitudes towards the Menopause Questionnaire (ATMQ), Arizona Sexual Experiences Scale (ASEX), and Utian Quality of Life (UQOL) Scale. Results: There was a statistically significant positive relationship between postmenopausal women’s ATMQ scores and emotional quality of life subscale of UQOL (r=0.450; p=0.001) with postmenopausal women’s having negative relationship between ATMQ scores and occupational quality of life of UQOL (r=–0.342; p=0.001), and negative relationship between ATMQ scores and ASEX total scores (r=–0.310; p=0.001). Conclusion: Postmenopausal women had more negative health-related quality of life and sexual quality of life. As the positive attitudes of postmenopausal women towards menopause increased, their emotional quality of life increased, and their occupational quality of life decreased, and as their positive attitudes towards menopause decreased, their sexual quality of life levels were negatively affected. It is recommended by health professionals provide to help as postmenopausal married women develop positive attitudes toward menopause, to make regular follow-ups, and to provide educational and sexual counseling.

T2-low severe asthma clinical spectrum and impact: The Greek PHOLLOW cross-sectional study.

Data on type 2 (T2)-low severe asthma (SA) frequency is scarce, resulting in an undefined unmet therapeutic need in this patient population. Our objective was to assess the frequency and characterize the profile and burden of T2-low SA in Greece. PHOLLOW was a cross-sectional study of adult SA patients. Based on a novel proposed classification system, patients were classified as T2-low if blood eosinophil count (BEC; cells/μL) was <150, fractional exhaled nitric oxide (FeNO)<25 ppb and any allergy status or BEC < 150/FeNO < 50 ppb/no allergy or BEC < 300/FeNO < 25 ppb/no allergy. For patients receiving biologics and/or oral corticosteroids, only those with BEC < 150/FeNO < 25 ppb/no allergy/no response to therapy were classified as T2-low. Secondary outcome measures were: Asthma Control Test (ACTTM), Mini-Asthma Quality of Life Questionnaire (Mini-AQLQ), hospital anxiety and depression scale (HADS), and Work Productivity and Activity Impairment:Respiratory Symptoms (WPAI:RS) questionnaire. From 22-Mar-2022 to 15-Mar-2023, 602 eligible SA patients were enrolled. The frequency of T2-low asthma was 20.1%. Of those, 71.1% had experienced ≥1 clinically significant exacerbations in the past year, 62.8% had ACT score <20 (uncontrolled asthma), and 22.3% were biologic-treated. Mini-AQLQ score was <6 (impairment) in 79.5% of patients, HADS-total score was ≥15 (clinically significant emotional distress) in 43.8%, while median percent activity impairment and work productivity loss were 30.0 for both domains. Clinical and patient-reported outcomes were worse among patients with ACT-defined uncontrolled asthma. One-fifth of SA patients present with a T2-low endotype. These patients frequently have uncontrolled disease and experience impairments in their quality of life, emotions and work ability.

Impact of the Mediterranean Diet on Patients With Psoriasis: Protocol for a Randomized Controlled Trial.

Psoriasis is an inflammatory disease primarily treated through molecular-targeted therapies. However, emerging evidence suggests that dietary interventions may also play a role in managing inflammation associated with this condition. The Mediterranean diet (MedDiet), prevalent in southern European countries, has been widely recognized for its ability to reduce cardiovascular mortality, largely due to its anti-inflammatory properties. This anti-inflammatory potential has prompted interest in exploring the MedDiet's role in immune-mediated diseases, including psoriasis. Observational studies have indicated potential benefits, such as reductions in the Psoriasis Area and Severity Index. However, there is a need for well-designed clinical trials to address the methodological limitations of these studies and to establish specific dietary recommendations for psoriasis. This study aims to evaluate the impact of an intensive dietary intervention based on the MedDiet in patients with psoriasis. The study will assess the effects of this intervention on skin involvement, metabolic parameters, and inflammatory cytokines. In addition, the emotional well-being and quality of life of participants will be evaluated using validated questionnaires. A methodological analysis will also be conducted to enhance the design of future large-scale clinical trials. An open-label, single-blinded (evaluator) randomized controlled trial was designed to assess the impact of a high-intensity MedDiet intervention in patients with mild-to-moderate psoriasis. A total of 38 patients will be randomly assigned into 2 groups-an intervention group receiving the MedDiet intervention and a control group receiving standard care. The intervention group will participate in dietary education sessions aimed at adopting the MedDiet over 4 months, with monthly monitoring by experienced nutritionists. Participants will receive 500 mL of extra virgin olive oil per week, along with informative materials, recipes, and weekly menus. In contrast, the control group will receive standard low-fat diet recommendations without nutritionist monitoring. All participants will undergo a baseline visit, a 2-month follow-up visit, and a final visit at 4 months. Blood tests will be conducted at the beginning and end of the study. This study protocol was approved by the Institutional Review Board of the Hospital Ramón y Cajal (Madrid) in July 2023. Enrollment concluded in October 2024, with data collection set to finish by February 2025. The findings will be presented at national and international conferences and published in peer-reviewed journals. This protocol outlines the design of a clinical trial that implements the MedDiet in patients with psoriasis to evaluate its benefits on skin involvement, systemic inflammation, and quality of life. ClinicalTrials.gov NCT06257641; https://clinicaltrials.gov/study/NCT06257641. DERR1-10.2196/64277.

Correlations among hope, fertility quality of life and negative emotions for couples undergoing their first in vitro fertilization–embryo transfer: a cross-sectional analysis

BackgroundThe global incidence of infertility is increasing, and infertility has become an important medical and social issue. With the widespread application of in vitro fertilization-embryo transfer (IVF-ET) technology, the mental health problems of patients undergoing this treatment have gradually attracted widespread attention. The purpose of this study was to explore the relationships among the level of hope, the fertility quality of life and negative emotions of patients who underwent IVF-ET treatment for the first time to provide a scientific basis for subsequent psychological support interventions.MethodsThis study was a cross-sectional survey conducted at the Reproductive Medicine Center of Renmin Hospital of Wuhan University. From February 2023 to October 2023, 1425 patients who received IVF-ET treatment for the first time participated in the questionnaire survey. The survey content included the General Information Questionnaire, the Fertility Quality of Life (FertiQoL) Questionnaire, and the Herth Hope Index (HHI). Pearson correlation analysis was used to examine the relationships among the level of hope, fertility quality of life, and negative emotions.ResultsThe survey included 805 women and 620 men representing 603 couples. The level of hope in patients undergoing IVF-ET treatment for the first time was positively correlated with fertility quality of life (r = 0.247, P < 0.01), and the level of hope was negatively correlated with negative emotions (stress: r = − 0.135, P < 0.01; anxiety: r = − 0.105, P < 0.01; depression: r = − 0.189, P < 0.01). Fertility quality of life was negatively correlated with negative emotions (stress: r = − 0.609, P < 0.01; anxiety: r = − 0.533, P < 0.01; depression: r = − 0.591, P < 0.01). Among couples undergoing IVF-ET treatment for the first time, the husband’s level of hope (r = 0.131, P < 0.01), fertility quality of life (r = 0.372, P < 0.01), and negative emotions (stress: r = 0.181, P < 0.01; anxiety: r = 0.163, P < 0.01; depression: r = 0.210, P < 0.01) were positively correlated with those of his wife.ConclusionsIn patients undergoing their first IVF-ET treatment, there is a significant correlation among hope, fertility quality of life, and negative emotions. Moreover, within couples, the levels of hope, fertility quality of life, and negative emotions of husbands and wives mutually influence each other. Enhancing the level of hope in this population is conducive to alleviating negative emotions and improving their fertility quality of life. The mutual influence of spouses should not be overlooked in clinical practice, and psychological support for both partners should be emphasized.

AUTOMATING METER CLASSIFICATION OF ARABIC POEMS: A HARRIS HAWKS OPTIMIZATION WITH DEEP LEARNING PERSPECTIVE

Meter classification in Arabic poetry is a crucial factor that describes the rhythmic structure of poems. Classical Arabic poetry relies on explicit meters, referred to as “Arud”, to create a structured and harmonious flow. Arabic meter is based on the pattern of short and long syllables, and each meter has a particular combination of feet (taf’ilah) that defines its unique rhythmic structure. Poets use diverse Arabic meters to evoke aesthetic or emotional qualities in their poetry. The mastery of meter is considered a sophisticated and skillful aspect of traditional Arabic poetry, which reflects the rich heritage of Arabic literature. The meter provides poets with unique opportunities and constraints, influencing the style and tone of their verses. Using deep learning (DL) for the meter classification of Arabic poems includes leveraging a neural network to automatically learn the features and patterns that discriminate between various meters. This paper presents a Fractal Harris Hawks Optimization with DL-based Meter Classification of Arabic Poems (HHODL-MCAP) technique. The HHODL-MCAP technique exploits the optimal DL model for the identification of distinct classes of meters of Arabic poems. The HHODL-MCAP technique involves a three-layered process. Primarily, the HHODL-MCAP technique performs data preprocessing to transform the data into a beneficial format. Second, the HHODL-MCAP technique applies long short-term memory (LSTM) with a Bidirectional Temporal Convolutional Networks (BiTCNs) model for the automated identification of various Arabic meter classes. At last, the HHO algorithm can be exploited to choose the hyperparameter values of the LSTM-BiTCN model optimally. A series of experiments were conducted to ensure the improved detection outcomes of the HHODL-MCAP technique. The extensive simulation results underline the supremacy of the HHODL-MCAP technique in the meter classification process.

Influence of environmental renewal on students’ mental health development under the background of long-term online teaching

In the wake of the COVID-19 pandemic, the prevalence of online education in primary education has exhibited an upward trajectory. Relative to traditional learning environments, online instruction has evolved into a pivotal pedagogical modality for contemporary students. Thus, to comprehensively comprehend the repercussions of environmental changes on students’ psychological well-being in the backdrop of prolonged online education, this study employs an innovative methodology. Founded upon three elemental feature sequences—images, acoustics, and text extracted from online learning data—the model ingeniously amalgamates these facets. The fusion methodology aims to synergistically harness information from diverse perceptual channels to capture the students’ psychological states more comprehensively and accurately. To discern emotional features, the model leverages support vector machines (SVM), exhibiting commendable proficiency in handling emotional information. Moreover, to enhance the efficacy of psychological well-being prediction, this study incorporates an attention mechanism into the traditional Convolutional Neural Network (CNN) architecture. By innovatively introducing this attention mechanism in CNN, the study observes a significant improvement in accuracy in identifying six psychological features, demonstrating the effectiveness of attention mechanisms in deep learning models. Finally, beyond model performance validation, this study delves into a profound analysis of the impact of environmental changes on students’ psychological well-being. This analysis furnishes valuable insights for formulating pertinent instructional strategies in the protracted context of online education, aiding educational institutions in better addressing the challenges posed to students’ psychological well-being in novel learning environments.

The physical elements in the design of cartoon illustrations affect the emotional perception of people from different cultures and age groups

This study focuses on the effects of the perception of physical elements on the perception of emotions and communication with cartoons of people of different ages and cultures classified by nationality and age range. The objectives of this research were: 1) to analyze the physical characteristics that affect emotional perception and communication; 2) to analyze and compare the relationship between the physical elements of an image comprising cartoons, emotional perception, and communication. This was a quantitative and qualitative study with a population and sample of 300 volunteers from three nationalities and three age groups: Thai, Japanese, and American. The tools used in this study were questionnaires and interviews using a 5-level estimation scale. Data analysis utilized statistics for comparative analysis and determined the mean and standard deviation. The results showed that the emotional and sensory perception levels were very high, with a mean of 4.06 and standard deviations of 0.89. Emotional characteristics create emotional perception and strengthen emotional awareness, which are at a high level, with a mean of 3.95 and a standard deviation of 0.95. Characters and scenes create emotional perception; deformed character ratios create emotional and sensory perception; natural scenes generate emotional and sensory perception; 2D shapes can generate emotional and sensory perception; depth of field generates emotional and sensory perception; and light and shadow generate moderate emotional and sensory perception, with a mean of 3.80 and standard deviations of 0.97. The scene produced a low level of emotional and sensory perception, with a mean of 3.66 and standard deviations of 1.07. Large characters generate very little emotional perception, with a mean of 3.52 and a standard deviation of 1.04. However, the analysis also shows that a p&lt;0.05 value is considered statistically significant. Similarly, the interviews showed that the artistic elements were at the highest level of perception generation, and they were also able to analyze and compare physical characteristics according to the set objectives.

Child Emotional Characteristics as Predictors of Informant Disagreement in Oppositional Defiant Symptomatology

The present study examines the disagreement between parents and teachers on the Oppositional Defiant Disorder Symptomatology (ODS) in children and how sociodemographic factors like gender and socio-economic status (SES); and emotional characteristics such as aggressiveness, temperament, callousness; anxious and depressive symptoms, and irritability may be predictors of this incongruence. A community sample of 614 3-year-old, followed up until age 14 (N = 287) was obtained from a longitudinal study that began in 2009. Parents and teachers completed an ODS scale and multiple questionnaires about child´s emotional difficulties. Analyses indicated that parent-teacher ratings were discrepant, and this disagreement diminished with age (Intraclass Correlation Coefficient = 0.12 to 0.69) with parents consistently reporting higher ODS scores compared to teachers across various ages. Predictors of parent-teacher disagreement on ODS were analyzed using polynomial regression with second and third order interactions. Results revealed that disagreement was higher when rating females, and for children belonging to low + low/medium or high SES groups. Lower ratings of aggressiveness, callousness and irritability, while higher scores of effortful control were significant predictors of higher parent-teacher ODS discrepancies. Research on how child affective variables influence multi-informant disagreement could lead to better clinical practice in addition to more accurate assessment and diagnosis in the infant-juvenile population.

Meet the Motivational Robot That Predicts Your Future Feelings

This study explores the potential benefits of robots having the capability to anticipate people’s mental states in an exercise context. We designed 80 utterances for a robot with associated gestures that exhibit a range of emotional characteristics and then performed a 23-person data collection to investigate the effects of these robot behaviors on human mental states during exercise. The results of cluster analysis revealed that (1) utterances with similar meanings had the same effect and (2) the effects of a certain cluster on different people depend on their emotional state. On the basis of these findings, we proposed a robotic system that anticipates the effect of utterances on the individual’s future mental state, thereby choosing utterances that can positively impact the individual. This system incorporates three main features: (1) associating the relevant events detected by sensors with a user’s emotional state; (2) anticipating the effects of robot behavior on the user’s future mental state to choose the next behavior that maximizes the anticipated gain; and (3) determining appropriate times to provide coaching feedback, using predefined rules in the motion module for timing decisions. To evaluate the proposed system’s overall performance comprehensively, we compare robots equipped with the system’s unique features to those lacking these features. We design the baseline condition that lacks these unique features, opting for periodic random selection of utterances for interaction based on the current context. We conducted a 21-person experiment to evaluate the system’s performance. We found that participants perceived the robot to have a good understanding of their mental states and that they enjoyed the exercises more and put in more effort due to the robot’s encouragement.

FOSTERING VALUES THROUGH EDUCATION: PSYCHOLOGICAL RESOURCES AND STRATEGIES FOR A NONAGGRESSIVE UNIVERSITY ENVIRONMENT

Approaches to strengthening educational values, such as human dignity, equality, and respect for human rights, are increasingly common in modern pedagogy and are reflected in the United Nations Sustainable Development Goals for ensuring inclusive and equitable education for all. In this regard, we aimed to examine the psychological and value-based dimensions of education and behaviours manifested in interpersonal relationships, focusing on the issue of (non)aggression. We administered a questionnaire to 427 students to identify intervention models in education. The questionnaire assessed emotional and attitudinal characteristics related to experiences within the educational system, including students’ approaches to vulnerable situations and their suggestions for implementing best practices in education. To examine more deeply the psychological resources of students – such as hope, self-efficacy, resilience, and optimism, which are essential for understanding their responses and attitudes towards nonaggression – we used the Psychological Capital Questionnaire (PCQ). The majority of participants consider aggression in educational institutions to be a significant issue that negatively affects both the victims and the community as a whole. The analysis of the questionnaire results confirmed the significative contribution of the psychological capital to the formation of a constructive educational environment, important in the development of educational values. Proposed suggestions from the participants mentioned the need for monitoring and reporting incidents, implementing an educational program for aggression prevention and an active involvement of school counsellors, parents, teachers, and authorities in preventing and combating school aggression.

Feasibility and acceptability of a mindfulness app-based intervention among patients with metastatic renal cell carcinoma: a multinational study.

Patients with metastatic renal cell carcinoma (mRCC) experience emotional distress and limited supportive care access. This study assesses a mindfulness app's feasibility, acceptability, and preliminary efficacy in improving emotional symptoms, trait mindfulness, and overall quality of life for patients with mRCC on immunotherapy. This multinational study recruited patients with mRCC undergoing immunotherapy from Brazil and the United States. Participants were required to engage in mindfulness app-based activities for 20-30min daily, at least 4 days per week, over a 4-week period. Assessments were conducted at weeks 0, 2, 4, and 12 to evaluate emotional symptoms (PROMIS-Anxiety and Depression, Fear of Cancer Recurrence-7), fatigue (Brief Fatigue Inventory), trait mindfulness (Mindfulness Attention Awareness Scale), and quality of life (Functional Assessment of Chronic Illness Therapy-General). Self-reported data were used to assess adherence. Linear mixed-effects models were used to evaluate changes over time for the measured outcomes. Among 50 patients with mRCC, the feasibility of this intervention was demonstrated; 96% of patients were assessed at week 4, with high adherence rates reported by 75% of patients. Participants expressed positive feedback on the smartphone-based approach. Significant improvements were observed in emotional symptoms, fatigue, and quality of life scores from baseline to post-intervention (P = .001 for each), suggesting the positive impact of this intervention. Our findings provide encouraging evidence for the feasibility and acceptability of a mindfulness app-based intervention among patients with mRCC. This intervention may offer a viable and accessible means of providing psychosocial support to patients with mRCC.

The current clinical approach to feeding and eating disorders aimed to increase personalization of management.

Feeding and eating disorders (FEDs) are a heterogeneous grouping of disorders at the mind-body interface, with typical onset from childhood into emerging adulthood. They occur along a spectrum of disordered eating and compensatory weight management behaviors, and from low to high body weight. Psychiatric comorbidities are the norm. In contrast to other major psychiatric disorders, first-line treatments for FEDs are mainly psychological and/or nutrition-focused, with medications playing a minor adjunctive role. Patients, carers and clinicians all have identified personalization of treatment as a priority. Yet, for all FEDs, the evidence base supporting this personalization is limited. Importantly, disordered eating and related behaviors can have serious physical consequences and may put the patient's life at risk. In these cases, immediate safety and risk management considerations may at least for a period need to be prioritized over other efforts at personalization of care. This paper systematically reviews several key domains that may be relevant to the characterization of the individual patient with a FED aimed at personalization of management. These domains include symptom profile, clinical subtypes, severity, clinical staging, physical complications and consequences, antecedent and concomitant psychiatric conditions, social functioning and quality of life, neurocognition, social cognition and emotion, dysfunctional cognitive schemata, personality traits, family history, early environmental exposures, recent environmental exposures, stigma, and protective factors. Where possible, validated assessment measures for use in clinical practice are identified. The limitations of the current evidence are pointed out, and possible directions for future research are highlighted. These also include novel and emerging approaches aimed at providing more fine-grained and sophisticated ways to personalize treatment of FEDs, such as those that utilize neurobiological markers. We additionally outline remote measurement technologies designed to delineate patients' illness and recovery trajectories and facilitate development of novel intervention approaches.