Emotional Variables Research Articles

Identifying Clusters of Curatively-Treated Esophageal Cancer Patients Using Patient-Reported Outcome Measures at Three Months from Discharge: A Secondary Analysis from a Longitudinal Single Center Study.

This study aims to identify meaningful clusters based on Patient-Reported Outcome Measures (PROMs) in curatively-treated esophageal cancer patients at three months post-discharge. This secondary analysis of a longitudinal single-center study included 46 esophageal cancer patients who underwent curative surgery. Patients were selected based on their completion of PROMs surveys at three months post-discharge, were aged 18 years or older, and had undergone surgical resection (esophagectomy) with or without neoadjuvant chemotherapy and/or radiotherapy. The analysis utilized t-distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction and hierarchical clustering to analyze PROMs data collected three months post-discharge. Clustering was performed on physical, emotional, cognitive, and social functioning variables, symptom burden, and health literacy. Three distinct clusters were identified: Cluster 1 (n = 24) with higher functioning and moderate symptoms, Cluster 2 (n = 14) with moderate functioning, higher symptoms, and lower health literacy, and Cluster 3 (n = 8) with the highest functioning, lowest symptoms, and highest health literacy. Significant differences between squamous cell carcinoma and adenocarcinoma subtypes were observed across several PROMs domains, including critical health literacy, general health status/quality of life, nausea and vomiting, and insomnia. These clusters provide an exploratory framework for tailoring post-operative interventions to enhance patient recovery, which necessitates further confirmatory investigations, including outcomes such as complications and mortality, in the analysis. This study fills a research gap by demonstrating the utility of PROMs in identifying distinct recovery patterns in esophageal cancer patients post-surgery. The findings support the use of PROMs to guide personalized post-operative care, potentially improving patient outcomes and quality of life. Further research is needed to validate these findings in larger, diverse populations.

The Influence of Green Advertising and Emotional Factors on Green Consumption

The advanced ideas concerning the protection of the environment, the principles of sustainable consumption have underscored the importance of emotions in consumers actions. This essay looks at the effect of green ads and emotions on green purchasing with the aim of improving the application of marketing strategies in sustainability. The emphasis is made on the interdisciplinary framework that examines the connection between green ads and emotional appeals triggering consumers green purchase intentions. The information gathered about the green advertising and the analysis of impact of emotional variables on consuming eco-products is provided through the literature review. The result also suggests that green advertising, green consumption and emotional factors are highly correlated. Positive emotions affect consumer responses and enhance communications leading to making higher purchase of green products through advertising. The use of appeals in green advertising is helpful in the encouragement of green consumption. Future research should incorporate long-term analyses and cross-cultural research to gain a better understanding of the role of affect in green purchasing decisions.

Intensity of Physical Activity in Young People: Focus on Emotional, Cognitive, and Healthy Lifestyle-Related Variables.

The college years represent a crucial developmental period in which unhealthy behaviors, including smoking, alcohol consumption, inadequate physical activity (PA), poor sleep quality, and unhealthy nutrition habits are often acquired, influencing the onset or exacerbation of pre-existing mental disturbances such as anxiety, depression, or difficulties in emotion regulation. Our aim was to analyze the effect of the intensity of physical activity (PA) on the emotional, behavioral, and cognitive variables in a sample of young people. We recruited 103 participants (19.85 ± 0.25) who completed several online questionnaires (IPAQ-SF, STAI-t, DERS, UPPS-P, ISP-20, and Mini-IPIP). Subsequently, face-to-face sessions were conducted to assess the cognitive variables and to collect more details about their lifestyle habits, including drug use, sleep quality, and leisure activities. Based on the IPAQ-SF results, we categorized the sample into three groups: light PA (n = 47), moderate PA (n = 29), and vigorous PA (n = 27). Vigorous PA group showed better emotional regulation, lower impulsivity, fewer prefrontal symptoms and unhealthy behaviors, better sleep quality, and more leisure activities. No significant cognitive differences were found. It seems that young people are a vulnerable group with emotional and impulsivity traits and engaging in intense PA appears to be a promising avenue for managing these symptoms. In conclusion, our study suggests that young people are a vulnerable group with emotional and impulsivity traits that may precipitate in future mental disorders. Nevertheless, engaging in PA, particularly at high intensity, appears to be a promising avenue for reducing and managing these symptoms during this critical period of life.

Motivational and emotional correlates of physical activity and sedentary behavior after cardiac rehabilitation: an observational study

BackgroundThe present study assessed physical activity (PA) and sedentary behavior (SB) levels and their motivational and emotional health-related correlates, in outpatients following a cardiovascular rehabilitation (CR) program, and compared these variables with those of a healthy control group.MethodsThe study included 119 participants: 68 CR outpatients (Mage 57.76 ± 10.76; 86.76% males) and 51 control participants matched on age (Mage 57.35 ± 6.33 years; 45.10% males). PA and SB were assessed using accelerometers during the first week post-discharge for outpatients and during a typical week for controls. Motivational (i.e., perceived capabilities, affective and instrumental attitudes, intention, approach-avoidance tendencies) and emotional health-related variables (i.e., anxiety, depressive symptoms, fatigue, pain intensity) were measured using validated scales. PA and SB data from 17 outpatients and 42 controls were valid for analysis, resulting in a final sample of 59 participants.ResultsCR outpatients engaged an average of 60.21 (± 34.79) min of moderate-to-vigorous PA (MVPA), and 548.69 (± 58.64) min of SB per day, with 18 more minutes of MVPA per day than controls (p = .038). Univariate and multivariate regressions indicated that positive affective attitudes were associated with higher MVPA (b = 10.32, R2 = 0.07, p = .029), and that males spent more time in SB than females (b = 40.54, R2 = 0.09, p = .045). Univariate and multivariate logistic regressions showed that meeting the World Health Organization’s weekly guidelines for MVPA was associated with higher perceived capabilities toward PA and more positive affective attitudes (OR = 1.17, p = .030; OR = 1.26, p < .001, respectively). Interaction tests showed no significant differences in these results between outpatients and controls.ConclusionThe study highlights an association between higher perceived capabilities and positive affective attitudes toward PA with higher PA levels after outpatient CR. While these findings suggest that enhancing these motivational variables may be beneficial for increasing PA levels after CR, longitudinal and experimental studies are needed to further establish their role.

Alcohol Abuse and Physical Violence towards a Partner: How Can We Attenuate the Relationship? A Study on Emotional Dysregulation in Adolescents.

The previous literature has revealed the relationship between alcohol abuse and violent behaviours; however, the results are not always conclusive, highlighting the need to explore other variables that allow us to establish risk profiles. The goal is to examine whether the relation between alcohol abuse and physical violence towards a partner can be influenced (moderate) by difficulties in emotional regulation. A public high school in Manabí (Ecuador). A total of 1519 high school students with ages between 14 and 18 years (mean = 15.77, SD = 1.22), with 54% (n = 820) being male. The measures we observed were alcohol abuse (i.e., frequency of alcohol abuse in the past 30 days), physical violence exercised towards a partner (Violence Received, Exercised and Perceived in Dating Relationships of Young People and Adolescents) and emotional dysregulation (Difficulties in Emotional Regulation Scale; DERS). It is observed that there exists significantly higher alcohol abuse in males, regardless of their age, as well as more physical violence by adolescent males towards their partners. Direct effects of alcohol abuse on physical intimate partner violence are observed in males from the age of 16 and in females from the age of 14. Moreover, the direct effects of different emotional dysregulation strategies on physical violence depend on gender. The moderating effects of emotional dysregulation strategies between alcohol abuse and physical intimate partner violence are observed only in the case of adolescent females (16-17 years). In particular, emotional dysregulation variables such as non-awareness, impulse, nonacceptance, or lack of strategies interfere as moderators in the relationship between excessive alcohol abuse and physical violence towards a partner. In the case of non-awareness, contrary to the other three, when scores are low or moderate, a statistically significant relationship between alcohol abuse and violence is observed.

Machine learning and natural language processing to assess the emotional impact of influencers' mental health content on Instagram.

This study aims to examine, through artificial intelligence, specifically machine learning, the emotional impact generated by disclosures about mental health on social media. In contrast to previous research, which primarily focused on identifying psychopathologies, our study investigates the emotional response to mental health-related content on Instagram, particularly content created by influencers/celebrities. This platform, especially favored by the youth, is the stage where these influencers exert significant social impact, and where their analysis holds strong relevance. Analyzing mental health with machine learning techniques on Instagram is unprecedented, as all existing research has primarily focused on Twitter. This research involves creating a new corpus labelled with responses to mental health posts made by influencers/celebrities on Instagram, categorized by emotions such as love/admiration, anger/contempt/mockery, gratitude, identification/empathy, and sadness. The study is complemented by modelling a set of machine learning algorithms to efficiently detect the emotions arising when faced with these mental health disclosures on Instagram, using the previous corpus. Results have shown that machine learning algorithms can effectively detect such emotional responses. Traditional techniques, such as Random Forest, showed decent performance with low computational loads (around 50%), while deep learning and Bidirectional Encoder Representation from Transformers (BERT) algorithms achieved very good results. In particular, the BERT models reached accuracy levels between 86-90%, and the deep learning model achieved 72% accuracy. These results are satisfactory, considering that predicting emotions, especially in social networks, is challenging due to factors such as the subjectivity of emotion interpretation, the variability of emotions between individuals, and the interpretation of emotions in different cultures and communities. This cross-cutting research between mental health and artificial intelligence allows us to understand the emotional impact generated by mental health content on social networks, especially content generated by influential celebrities among young people. The application of machine learning allows us to understand the emotional reactions of society to messages related to mental health, which is highly innovative and socially relevant given the importance of the phenomenon in societies. In fact, the proposed algorithms' high accuracy (86-90%) in social contexts like mental health, where detecting negative emotions is crucial, presents a promising research avenue. Achieving such levels of accuracy is highly valuable due to the significant implications of false positives or false negatives in this social context.

Mediating effect of coping strategy and psychological status between illness perception and quality of life among patients with atrial fibrillation: a cross-sectional study

BackgroundThis study investigated the mediating effects of coping strategies and psychological status on the relationship between illness perception and health-related quality of life (HRQoL) among patients with atrial fibrillation (AF).MethodsThis cross-sectional study enrolled 178 patients with AF who were admitted to a tertiary hospital in Beijing City in mainland from March 2020 and June 2022. Assessments were made for HRQoL using the Short Form Health Survey depressive symptoms using the Patient Health Questionnaire-9, anxiety using the Generalized Anxiety Disorder-7 (GAD-7), illness perception using the Brief Illness Perception Questionnaire (BIPQ), AF symptoms using the Atrial Fibrillation Severity Scale (AFSS), and coping strategies using the Brief-COPE Scale.ResultsSignificant correlations were observed between illness perception, emotional variables, coping strategies, and HRQoL scores. The regression analysis found that BIPQ, GAD, Maladaptive coping and Problem-focused coping are significant predictors of PCS (F = 20.906, R2 = 0.326, p < 0.01) and MCS (F = 31.24, R2 = 0.419, p < 0.01). Bootstrap samples were used to conduct mediation analysis. The indirect effects of GAD-7 and Problem-focused coping (PC) on the impact of BIPQ on QoL were significant. GAD accounted for 13.2–19.3% of the variance in the total effect across different models, while PC accounted for 22.1–25.8%. The results also indicated a significant chain effect in the illness percepitong-anxiety-coping style-QoL model, which can explain 4.3–10.2% of the total effect, respectively.ConclusionsThe perception of illness significantly influenced HRQoL in patients with AF, as mediated by emotional symptoms and coping strategies. This highlights the importance of anxiety and problem-focused coping mechanisms. These findings underscore the need for a holistic, patient-centered approach to AF management that incorporates emotional well-being and coping strategies.Trial registrationRetrospectively registered with ClinicalTrials.gov (NCT05974098). The date of registration: 1 August 2023.

Importance of Coping Strategies on Quality of Life in People with Multiple Sclerosis: A Systematic Review.

Multiple sclerosis (MS) is a neurodegenerative disorder of the central nervous system characterized by a variety of symptoms such as fatigue, spasticity, tremors, and cognitive disorders. Individuals with MS may employ different coping strategies to manage these symptoms, which in turn can significantly impact their quality of life (QoL). This review aims to analyze these coping strategies and their impact on QoL. Furthermore, it seeks to identify the key factors that influence the choice and effectiveness of these coping strategies, providing insights into which strategies are most beneficial for enhancing QoL in people with MS. Methods: Systematic searches were performed in Scopus, PubMed, Web of Science, and Scopus databases. This systematic review has been registered in OSF with the number DOI 10.17605/OSF.IO/QY37X. Results: A total of 1192 studies were identified. After reading the full text of the selected studies and applying predefined inclusion criteria, 19 studies were included based on their pertinence and relevance to the topic. The results revealed that emotional variables, demographic factors, personality traits, and family support significantly influence the choice of coping strategies used to manage the symptoms of MS. Problem-solving and task-oriented coping were prevalent among MS patients and associated with better QoL outcomes. Emotional-focused and avoidance strategies were generally linked to poorer QoL, though avoidance provided temporary relief in certain contexts. Social support, emotional health, and cognitive reframing were crucial in enhancing QoL. Conclusions: The findings underscore the importance of tailored psychoeducational and therapeutic interventions focusing on emotional health, social support, and adaptive coping strategies. These interventions can significantly improve the long-term outcomes for individuals with MS. Future research should explore the dynamic interactions between coping strategies and QoL over time, providing a comprehensive understanding of how to best support MS patients in managing their disease.

Comparing emotions in ChatGPT answers and human answers to the coding questions on Stack Overflow.

Recent advances in generative Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the development of Large Language Models (LLMs) and AI-powered chatbots like ChatGPT, which have numerous practical applications. Notably, these models assist programmers with coding queries, debugging, solution suggestions, and providing guidance on software development tasks. Despite known issues with the accuracy of ChatGPT's responses, its comprehensive and articulate language continues to attract frequent use. This indicates potential for ChatGPT to support educators and serve as a virtual tutor for students. To explore this potential, we conducted a comprehensive analysis comparing the emotional content in responses from ChatGPT and human answers to 2000 questions sourced from Stack Overflow (SO). The emotional aspects of the answers were examined to understand how the emotional tone of AI responses compares to that of human responses. Our analysis revealed that ChatGPT's answers are generally more positive compared to human responses. In contrast, human answers often exhibit emotions such as anger and disgust. Significant differences were observed in emotional expressions between ChatGPT and human responses, particularly in the emotions of anger, disgust, and joy. Human responses displayed a broader emotional spectrum compared to ChatGPT, suggesting greater emotional variability among humans. The findings highlight a distinct emotional divergence between ChatGPT and human responses, with ChatGPT exhibiting a more uniformly positive tone and humans displaying a wider range of emotions. This variance underscores the need for further research into the role of emotional content in AI and human interactions, particularly in educational contexts where emotional nuances can impact learning and communication.

한국인의 자기결정적 고독 동기의 연구동향

Objectives The purpose of this study is to analyze research trends on self-determined solitude motivation among Koreans. Through this analysis, the study aims to review existing research and broaden the understanding of self-determined solitude motivation, thereby suggesting directions for future research. Methods A total of 35 journal articles and master's and doctoral theses published in Korean and English from 2012 to 2023 were analyzed. We examined overall publication trends, such as publication year and academic field, as well as research method trends, including research types, subjects, and statistical methods. To investigate the content trends of variables studied in relation to self-determined solitude motivation, we categorized the variables by area and analyzed their frequency and co-occurrence. Results First, approximately 80% of the studies on self-determined solitude motivation among Koreans were published after 2019, with a slightly higher proportion of theses. Most of the research was conducted in the fields of psychology and education. Second, quantitative research was predominant, with young adults being the primary subjects. The measurement tool developed by Lim et al. (2012) was mainly used, and regression analysis and cluster analysis were commonly employed. Third, the majority of variables studied in relation to self-determined solitude motivation among Koreans were personal variables, with a focus on emotional and personality-related variables. Frequently studied variables in conjunction with self-determined solitude motivation included life satisfaction and well-being, loneliness, eating alone, depression, and adult attachment. Conclusions Research on self-determined solitude motivation among Koreans has been increasing since 2019, with a significant focus on master's theses and quantitative studies targeting young adults. Many studies have examined the relationship between self-determined solitude motivation and factors such as life satisfaction and well-being, loneliness, and eating alone. This suggests the need for future research employing diverse methods and perspectives.

Empathy strengthens the effect of emotion on beauty.

Past research shows that emotion affects beauty judgments of images and music. Because it is widely supposed that our faculty of empathy facilitates aesthetic experience, we wondered whether individual levels of empathy modulate the effect of emotion on beauty. 164 participants rated the perceived beauty, happiness, and sadness of 12 art images, 12 nature photographs, and 24 songs. The stimuli were presented in two blocks, and participants took the PANAS mood questionnaire before and after each block. Between blocks, they viewed one of three mood induction videos, intended to increase their happiness, increase their sadness, or leave their mood unchanged. We also measured (trait) empathy with the Questionnaire for Cognitive and Affective Empathy. We used structural equation modeling to analyze the effect of empathy on emotion, beauty, and the relationship between them. We assessed four emotion variables: participants' felt happiness and sadness (mood questionnaire ratings) and perceived happiness and sadness (stimulus ratings). We find that higher empathy is associated with stronger positive relationships between beauty and both felt and perceived emotions, for both images and music (β ~ 0.06 per empathy point on a 10-pt. scale, p < 0.001). We also find that perceived happiness and sadness boost beauty directly for both images and music. However, sadness affects music more than images (β = 0.51 vs. 0.12, all p < 0.001), and empathy amplifies this relationship for music but not images. Thus, felt and perceived emotions produce more beauty, more so in more empathic people, and more so with music than images.

Explaining the penetrating role of technology in online foreign language learning achievement

AbstractThis study aims to integrate the technology acceptance model, classroom environment theory, and positive psychology theory to explore the relationships among learners' technology acceptance (TA), perceived online classroom environment (POCE), emotional states (enjoyment, anxiety, boredom, and burnout), and academic achievement in online classes. Six hundred and sixty‐two university students learning Chinese as a foreign language participated in the survey and completed the reading test. The results of partial least square‐structural equation modeling reveal that TA influences reading achievement directly and indirectly through anxiety (with the reversed mediating effect) and enjoyment, and the online classroom environment mediated the relationship between TA and learning emotions (except anxiety). These findings suggest that technology factors may shape the affordance of online classrooms and penetrate environmental and emotional variables to impact FL learning outcomes. Multigroup analysis with different self‐online learning time underscores that enjoyment and anxiety differ in two different effect paths (POCE‐enjoyment) and (TA‐anxiety), implying enjoyment may be more environment‐related while anxiety may be more technology‐related in the online foreign language classroom. This study provides both theoretical and pedagogical implications.

Depression, anxiety, and stress in young adult gamers and their relationship with addictive behaviors: A latent profile analysis

BackgroundThere is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling). MethodsA total of 1209 young adults (Mage = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables. ResultsLPA suggested a three-profile solution: profile 1 (n = 660, ‘low emotional distress’), profile 2 (n = 377, ‘moderate emotional distress’), and profile 3 (n = 172, ‘high emotional distress’). Participants with ‘moderate’ and ‘high emotional distress’ were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use. LimitationsThe cross-sectional nature of the study and sample being university students. ConclusionFindings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming.

Association of Physical and Emotional Parameters with Performance of Firefighters: A Systematic Review.

Firefighting requires a high level of physical fitness and causes substantial psychological stress, engendering musculoskeletal, mental, and cardiac issues. Consequently, it is necessary to measure the preparation of the firefighters daily through the Firefighting Physical Ability Tests (FPATs). According to the literature, some variables are more important for performance in the FPAT. Therefore, we aimed to summarize evidence that relates physical and mental aspects to the FPAT performance. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method, screening 1055 records from databases and selecting 15 that met inclusion criteria. No emotional and psychological variables were correlated with the FPAT. Most research shows significant correlations between the FPAT performance and the following: aerobic fitness, upper body endurance and strength, anaerobic capacity, body fat, and age. Lower body endurance and strength, as well as anaerobic power, had a low number of investigations and need to be further explored. Abdominal endurance showed weak correlations, while flexibility did not show any correlations in most studies, although these should be considered for injury prevention. We recommend that fitness programs and evaluations include a global analysis considering the evidence presented for methodological improvements.

Suicide Risk Factors in High School Students.

In Mexico, suicide has become an important public health problem, representing the third leading cause of death in the adolescent population. Suicidal behavior in adolescents is associated with the interaction of complex relationships between personal, interpersonal, and sociocultural factors. Through a quantitative, descriptive, and correlational cross-sectional study, the present study aimed to analyze the prevalence and risk factors associated with suicidal ideation among adolescents from different high schools of the high school system (SEMS) of the University of Guadalajara, in response to the psychosocial impact of the COVID-19 pandemic. A descriptive statistical analysis was carried out on the data obtained from the 3583 students surveyed, followed by a principal component analysis (PCA) to identify closely related social, emotional, and behavioral variables. The PCA yielded eight principal components, which together represent 75.42% of the variance across psychometric tests. A multiple linear regression analysis was used, with a regression value (R2) of 0.4811, indicating that the explanatory model can predict 48.1% of the variability in suicidal ideation, with a statistical significance level of 0.05. According to the studies conducted, 19% (688 students) showed indicators of high suicide risk and 26.8% (960 students) showed moderate risk. Depression, mental health, health-related quality of life, physical and psychological well-being, and mood and emotions are the most influential factors in suicidal ideation.

Ethics-testing an eating disorder recovery memoir: a pre-publication experiment

BackgroundNarratives (including memoirs and novels) about eating disorders (EDs) are typically published with the intention to benefit readers, but survey evidence suggests that reading such narratives with an active ED may more often be harmful than helpful. To reduce the probability of inadvertent harm and learn more about how narrative reading and EDs interact, a pre-publication study was designed to determine whether or not a recovery memoir should be published.Methods64 participants with a self-reported ED read either the experimental text (The Hungry Anorexic [HA]) or a control text (Ten Zen Questions [TZ]) over a roughly two-week period. All participants completed the Eating Disorder Examination Questionnaire (EDE-Q) and the Anorexia Nervosa Stages of Change Questionnaire (ANSOCQ) one week before and two weeks after reading, and answered three recurring open-ended questions at regular timepoints during and after the reading. Computational analysis of the free-text responses assessed text/response similarity and response characteristics on emotional, sensory, and action-effector dimensions. Both rating-scale and free-text data were analysed using mixed ANOVAs to test for effects of time and condition, and the university ethics board was notified in advance of the quantitative threshold for harmful effects that would prohibit the ED memoir from being published.ResultsOn the two quantitative measures, there was an effect of time but not of condition: Significant improvement was found in both groups on the EDE-Q (with a medium-to-large effect size) and the ANSOCQ (with a very large effect size). In an ANCOVA analysis, no significant mediating effects were found for age, education, duration of professional support for the ED, or pre/post-reading BMI change. For the free-text responses, linguistic similarity measures indicated that HA responses most closely matched the text of HA, with the same being true for TZ. In a word-norm analysis, text condition significantly affected six emotional, sensory, and action-effector variables (interoception, olfaction, gustatory, mouth, torso, and hand/arm), mean scores for all of which were higher in HA responses than TZ responses. Close reading of readers’ responses explored two potential mechanisms for the positive effects of time but not condition: engagement with the during-reading prompts as part of the experimental setup and engagement with the texts’ dialogical form.ConclusionsThe ED memoir was found not to yield measurably harmful effects for readers with an ED, and will therefore be published. The finding that significant improvement on both quantitative measures was observed irrespective of text condition suggests that positive effects may be attributable to linguistic characteristics shared by the two texts or to elements of the reading and/or reflective processes scaffolded by both. The quantitative results and the free-text testimony have implications for our understanding of bibliotherapy, “triggering”, and the practicalities of responsible publishing.

Facial and Emotion Recognition Deficits in Myasthenia Gravis.

Myasthenia gravis (MG) is a neuromuscular disease of autoimmune etiology and chronic evolution. In addition to the muscle weakness and fatigue that characterize MG, in some studies patients show an inferior performance in cognitive tasks and difficulties in recognizing basic emotions from facial expressions. However, it remains unclear if these difficulties are due to anxious-depressive symptoms that these patients present or related to cognitive abilities, such as facial recognition. This study had a descriptive cross-sectional design with a sample of 92 participants, 52 patients with MG and 40 healthy controls. The data collection protocol included measures to assess recognition of facial expressions (BRFT), facial emotional expression (FEEL), and levels of anxiety and depression (HADS). The MG group had worse performance than the control group in recognizing "fear" (p = 0.001; r = 0.344), "happiness" (p = 0.000; r = 0.580), "disgust" (p = 0.000; r = 0.399), "surprise" (p = 0.000; r = 0.602), and "anger" (p = 0.007; r = 0.284). Likewise, the MG group also underperformed in facial recognition (p = 0.001; r = 0.338). These difficulties were not related to their levels of anxiety and depression. Alterations were observed both in the recognition of facial emotions and in facial recognition, without being mediated by emotional variables. These difficulties can influence the interpersonal interaction of patients with MG.

Monitoring emotional intensity and variability to forecast depression recurrence in real time in remitted adults.

Recurrent depressive episodes are preceded by changing mean levels of repeatedly assessed emotions (e.g., feeling restless), which can be detected in real time using statistical process control (SPC). This study investigated whether monitoring changes in the standard deviation (SD) of emotions and negative thinking improves the early detection of recurrent depression. Formerly depressed adults (N = 41) monitored their emotions five times a day for 4 consecutive months. During the study, 22 individuals experienced recurrent depression. We used SPC to detect warning signs (i.e., changing means and SDs) of four emotions (positive and negative affect with high or low arousal) and negative thinking. SD-based warning signs only preceded 23%-36% of recurrences, but almost never reflected a false alarm (0%-16%). Correspondingly, SD-based warnings had a high specificity (at the cost of sensitivity), while mean-based warnings had a higher sensitivity (but lower specificity). There was little overlap in mean- and SD-based warning signs. For the majority of emotions, monitoring for high SDs alongside monitoring changes in mean levels improved the detection of depression (p < .015) compared to when only monitoring for changing mean levels. Warning signs for depression manifest not only in changing mean levels of emotions and cognitions but also in increasing SDs. These warnings could eventually be used to detect not just who is at increased risk for depression but also when risk is rising. Further research is needed to evaluate the clinical utility of depression SPC. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Determinants of Consumption Value on Intention to Use Shariah Mobile Banking: Exploring the Role of Consumer Preference

This study analyzes the use of mobile banking by both Islamic and conventional bank customers using the theory of consumption value. The aim of this research is to evaluate the factors influencing customers' decisions to use dual mobile banking services. The proposed hypothesis is that the intention to use Islamic mobile banking services is influenced by functional, conditional, social, emotional, and epistemic values mediated by consumer preferences. The method used is structural equation modeling with partial least squares (SEM-PLS) with a sample of 191 people, all of whom use both conventional and Islamic mobile banking. The results show that the theory of consumption value does not directly affect the interest in using mobile banking, either conventional or Islamic, except for the emotional value variable. Consumer preferences mediate the effect of functional, conditional, emotional, and epistemic values on the intention to use conventional mobile banking. Meanwhile, conditional, emotional, and epistemic values influence the interest in using Islamic mobile banking, which is mediated by consumer preferences. These findings indicate that the consumer's intention to use mobile banking is influenced by the theory of consumption value regardless of whether the service is Islamic or not. The implication of this research is that Islamic mobile banking services need to improve their service quality by considering consumer preferences and the theory of consumption value, thereby enhancing the usage of services by both conventional and Islamic bank customers.

How Social Presence Affects Potential Tourists’ Purchase Intention: Integrating Cognitive, Emotional and Behavioral Paths

ABSTRACT This study constructs a triple-path model of the effect of social presence on the purchasing behavior of tourism live-streaming consumers, revealing the juxtaposed and series-mediating effects of cognitive, emotional and behavioral variables. The findings show that social presence mainly affects purchasing behavior via cognitive and behavioral pathways. Through serial mediation with the behavioral variable (behavioral engagement), the emotional variable (emotional engagement) primarily links social presence and purchasing behavior. It confirms our theoretical understanding of the mechanisms that drive the impact of tourism live-stream marketing. It offers valuable insights for enhancing marketing strategies in the tourism industry based on a solid theoretical foundation.