Spiritual Intelligence (SI) is an independent concept from spirituality, a unifying and integrative intelligence that can be trained and developed, allowing people to make use of spirituality to enhance daily interaction and problem solving in a sort of spirituality into action. To comprehensively map and analyze current knowledge on SI and understand its impact on mental health and human interactions, we conducted a scoping review following the Joanna Briggs Institute methodology, searching for \'spiritual intelligence\' across PubMedCentral, Scopus, WebOfScience, and PsycInfo. Quantitative studies using validated SI instruments and reproducible methodologies, published up to 1 January 2022, were included. Selected references were independently assessed by two reviewers, with any disagreements resolved by a third reviewer. Data were extracted using a data extraction tool previously developed and piloted. From this search, a total of 69 manuscripts from 67 studies were included. Most studies (n = 48) were conducted in educational (n = 29) and healthcare (n = 19) settings, with the Spiritual Intelligence Self Report Inventory (SISRI-24) emerging as the predominant instrument for assessing SI (n = 39). Analysis revealed several notable correlations with SI: resilience (n = 7), general, mental, and spiritual health (n = 6), emotional intelligence (n = 5), and favorable social behaviors and communication strategies (n = 5). Conversely, negative correlations were observed with burnout and stress (n = 5), as well as depression and anxiety (n = 5). These findings prompt a discussion regarding the integration of the SI concept into a revised definition of health by the World Health Organization and underscore the significance of SI training as a preventative health measure.
Main findings: This scoping review of Spiritual Intelligence found positive correlations with resilience, general, mental and spiritual health, emotional intelligence, and favourable social behaviours and communication strategies, and negative correlations with burnout, stress, depression, and anxiety.Added knowledge: Spiritual Intelligence is an all-inclusive way to approach spirituality from a practical, daily problem-solving perspective that can be trained with several benefits for personal overall health, while also fostering substantial personal growth in social behaviors and skills.Global health impact for policy and action: Spiritual Intelligence training is urgently needed and should be integrated into global educational programs from early childhood as a health promotion strategy aiming to foster a more resilient and compassionate society.

OBJECTIVE: This study aimed to identify research trends related to emotional leadership among nurse managers by conducting a systematic literature review and meta-analysis. This study sought to derive insights that could contribute to improving emotional leadership in nursing practice.
METHODS: A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Databases including PubMed, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, Research Information Sharing Service, Koreanstudies Information Service System, Korean Medical Database, KoreaMed, ScienceON, and DBpia were searched to obtain papers published in English and Korean. Literature searches and screenings were conducted for the period December 1, 2023 to December 17, 2023. The effect size correlation (ESr) was calculated for each variable and the meta-analysis was performed using the statistical software SPSS 29.0, R 4.3.1.
RESULTS: Twenty-five (four personal, six job, and fifteen organizational) relevant variables were identified through the systematic review. The results of the meta-analysis showed that the total overall effect size was ESr = .33. Job satisfaction (ESr = .40) and leader-member exchange (ESr = .75) had the largest effect size among the job and organizational-related factors.
CONCLUSIONS: Emotional leadership helps promote positive changes within organizations, improves organizational effectiveness, and increases member engagement and satisfaction. Therefore, it is considered an important strategic factor in improving organizational performance.

Emotions are a series of subconscious, fleeting, and sometimes elusive manifestations of the human innate system. They play crucial roles in everyday life-influencing the way we evaluate ourselves, our surroundings, and how we interact with our world. To date, there has been an abundance of research on the domains of neuroscience and affective computing, with experimental evidence and neural network models, respectively, to elucidate the neural circuitry involved in and neural correlates for emotion recognition. Recent advances in affective computing neural network models often relate closely to evidence and perspectives gathered from neuroscience to explain the models. Specifically, there has been growing interest in the area of EEG-based emotion recognition to adopt models based on the neural underpinnings of the processing, generation, and subsequent collection of EEG data. In this respect, our review focuses on providing neuroscientific evidence and perspectives to discuss how emotions potentially come forth as the product of neural activities occurring at the level of subcortical structures within the brain\'s emotional circuitry and the association with current affective computing models in recognizing emotions. Furthermore, we discuss whether such biologically inspired modeling is the solution to advance the field in EEG-based emotion recognition and beyond.

The integration of emotional intelligence in machines is an important step in advancing human-computer interaction. This demands the development of reliable end-to-end emotion recognition systems. However, the scarcity of public affective datasets presents a challenge. In this literature review, we emphasize the use of generative models to address this issue in neurophysiological signals, particularly Electroencephalogram (EEG) and Functional Near-Infrared Spectroscopy (fNIRS). We provide a comprehensive analysis of different generative models used in the field, examining their input formulation, deployment strategies, and methodologies for evaluating the quality of synthesized data. This review serves as a comprehensive overview, offering insights into the advantages, challenges, and promising future directions in the application of generative models in emotion recognition systems. Through this review, we aim to facilitate the progression of neurophysiological data augmentation, thereby supporting the development of more efficient and reliable emotion recognition systems.

Workplace Mental health promotion in healthcare sector, is a global priority due to the stress associated with caregiving environments and the increase of mental health problems among health professionals and students. The role of emotional intelligence (EI) and sense of coherence (SOC) have been identified as critical health protectors. However, the relationship between them as well as the underlying mechanisms of these relationships on health benefits in this population is still unclear.
To synthetize the existing literature on the relationship between emotional intelligence and sense of coherence, as well as their mutual impact on healthcare workers\' and student\'s well-being.
A scoping review was conducted following the Joanna Briggs Institute guidelines. A systematic search was conducted in PsyCINFO, CINHAL, SCOPUS and PUBMED databases, using key-terms such as students, health professionals, emotional intelligence, and sense of coherence.
A total of 11 articles were included, with a range of years from 2014 to 2022. Evidence was found to support the positive relationship between sense of coherence and emotional intelligence. The use of EI as a training pathway to improve SOC and health promoting behaviors is suggested. The benefits of intervening on these factors contribute to improved health professionals\' and students\' general well-being and motivation for a better performance, either in their studies or clinical work.
The positive relationship between emotional intelligence and a sense of coherence has direct and indirect benefits on students\' and healthcare professionals\' well-being. Future studies should address longitudinal and experimental analysis to confirm these findings.

BACKGROUND: Emotional and spiritual intelligence are crucial factors in enhancing individuals\' knowledge and academic achievement. This study aims to examine the correlation between spiritual intelligence, emotional intelligence, and student achievement through a systematic review and meta-analysis.
METHODS: A search was conducted in the PubMed, Scopus, Web of Science, SID, and Google Scholar databases from 2007 to December 2022. The effect sizes (EF) included the mean and standard deviation of emotional intelligence, spiritual intelligence, and student achievement and correlation coefficients among spiritual intelligence, emotional intelligence, and student achievement. Random effects models were used to pool the results, and the Q test and I2 index were employed to assess heterogeneity. Correlation coefficients were transformed into standard data (Z) using log transformation.
RESULTS: The overall mean score of educational achievement in university and school students was 15.91 (95% CI: 15.26-16.78). The mean scores of spiritual and emotional intelligence were 138.27 (95% CI: 129.19-147.35) and 128.94 (95% CI: 117.08-140.80), respectively. The correlation coefficients between spiritual intelligence, emotional intelligence, and student achievement were r = 0.36 (95% CI: 0.18-0.51) and r = 0.50 (95% CI: 0.28-0.67), respectively.
CONCLUSIONS: Emotional and spiritual intelligence are independent predictive factors in educational achievement for university and school students. Therefore, improvements in emotional and spiritual intelligence can promote students\' academic achievement.

UNASSIGNED: Human behavior significantly contributes to environmental problems, making the study of pro-environmental behavior an important task for psychology. In this context, it is crucial to understand the pro-environmental behavior of adolescents, as young people play a fundamental role in facilitating long-term changes in environmental consciousness and encouraging decision-makers to take action. However, little is currently known about the pro-environmental behavior of adolescents. Recently, there has been growing interest in examining the influence of personality traits and emotional intelligence on pro-environmental behavior.
UNASSIGNED: We conducted a systematic review to enhance our understanding of adolescent pro-environmental behavior. Thus, this systematic review was designed to enhance understanding of adolescent\'s pro-environmental behavior by summarizing existing evidence on how it relates to personality and emotional intelligence.
UNASSIGNED: Our findings suggest associations between specific personality traits and dimensions of emotional intelligence with adolescent pro-environmental behavior, aligning with similar studies conducted on adults.
UNASSIGNED: While our findings offer valuable insights, further research is needed to establish causality and deepen our understanding of the interplay between multiple variables influencing pro-environmental behavior among adolescents.
UNASSIGNED: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023387836], identifier [CRD42023387836].

BACKGROUND: This scoping review\'s aim is to provide a comprehensive overview of ecological momentary assessment (EMA)- based research on emotional labor (EL) as emotion regulation (ER). This includes an examination of the theoretical foundation this research builds on, how the hypothesized relationships are investigated using EMA methods as well as the studies\' findings themselves. We built on the work of Grandey and Melloy (J Occup Health Psychol 22:407-22, 2004), who broadly distinguished between the two regulatory strategies of deep acting (DA) and surface acting (SA), embedded in a hierarchical model of emotional labor, as a guiding theory for structuring this review.
METHODS: To be included, studies had to use EMA to measure SA or DA, with no restrictions regarding population and date of publication. The electronic databases CINAHL, PsycArticles, PsycINFO, PSYNDEX, Embase, PubMed, and Web of Science were searched. Studies were included if they met the above criteria and were written in English or German. Out of 237 publications, 12 were chosen for this review.
RESULTS: All studies were based on emotional labor theories, with Arlie Hochschild\'s theory being the most popular, followed by Alicia Grandey\'s emotional labor theory and its modifications (Grandey AA. Emotion Regulation in the Workplace: A New Way to Conceptualize Emotional Labor; Grandey AA. When \"the show must go on\": Surface acting and deep acting as determinants of emotional exhaustion and peer-rated service delivery. 2003). The methodological quality of the studies varied greatly. The results of the studies indicate that SA is influenced by negative events, trait SA, service innovation and certain emotions, while DA is influenced by positive events and emotional intelligence. Emotional labor benefits the organization, e.g., by improving customer conflict handling, but also causes harm by increasing employee withdrawal behavior. For the employee, emotional labor results in more harm than benefits.
CONCLUSIONS: The research area is still in its early stages and the findings are mostly consistent, but the small number of studies needs to be replicated to increase the reliability of the results. The lack of evidence for ertain hypotheses highlights the presence of unresolved relationships that require further exploration. We are only at the beginning of investigating emotional labor using ecological momentary assessment, and conducting more high-quality studies will significantly enhance our comprehension of emotional labor.

Emotional Intelligence (EI), defined as the ability to perceive, identify, understand, and regulate emotional states is related to health outcomes. In this line, some studies examined this personal resource in the cancer area and, specifically, in breast cancer. Also, the different models and measures have led to a categorisation considering the various construct-method pairings of EI. Despite the increased number of studies about EI in the breast cancer context, there are no systematic reviews that summarise the results obtained in the different investigations. Objectives: Hence, the present review aims: to identify and describe the measures that have been used for assessing EI within this field, and to summarise the main results regarding EI in terms of its predictors and outcomes, considering the instruments used to assess it. Methods: The PRISMA guidelines were followed. Database search was conducted in WOS, Scopus, Pubmed, and PSYCArticles. Results: A total of 156 articles were found and 21 met the eligibility criteria. On one hand, one of the most used instruments was the TMMS-24 framed within the self-report ability EI, followed by those framed within the self-report mixed EI. None of the studies measured EI by the performance-based ability EI perspective. On the other hand, EI was related to other variables such as psychological well-being, quality of life, resilience, workability, anxiety, and depression. The majority of the studies were cross-sectional, and some of them included an intervention. Conclusions: This review provides a comprehensive overview of the existing studies concerning EI in the context of breast cancer, highlighting some of its characteristics regarding design, participants, used measures, and related variables. Also, the obtained results can improve the clinical practice and the understanding of the EI as an influencing factor in the health and quality of life of breast cancer populations.

UNASSIGNED: Emotional intelligence is the self-perception related to identification and regulation of emotions. Several studies have been done among Indian teachers evaluating emotional intelligence in relation to demographic, professional and various psychological parameters, but the variety of scales, teacher types, and conflicting results makes it difficult to draw any meaningful conclusions from this heterogeneous data.The present work aims to synthesize the available data by both qualitative and quantitative analysis and is the first such attempt to include only Indian studies in this field. The main objectives were to determine the correlation of emotional intelligence with teachers\' health parameters and to study the gender difference in emotional intelligence.
UNASSIGNED: After a thorough literature search in Google, Google scholar, Scopus, Web of science and Pubmed, fifty-five Indian studies were selected which empirically examined teachers\' emotional intelligence, either alone or in association with another parameter evaluating teachers\' psychological health and performance. After qualitative assessment of major findings, quantitative analysis was performed. Three separate meta-analysis were carried out. The first one with fifteen effect sizes among 3291 participants evaluated correlation with personal health parameters. The second with nineteen effect sizes in 4165 participants evaluated correlation with professional health parameters. The third with twenty-six studies involving 6005 participants assessed effect of gender.
UNASSIGNED: The results show that almost all studies have used a trait measure, teachers\' emotional intelligence is positively correlated with both personal and professional health parameters and gender has no effect on emotional intelligence.
UNASSIGNED: Major limitations are a very high degree of heterogeneity of the data, incomplete description of the scales, inadequate randomization and small sample sizes in many studies. The results indicate the importance of emotional intelligence in both personal and professional life of teachers and no effect of gender preparing a solid base for future research.