Aims/Background Trait emotional intelligence is associated with anxiety and depression symptoms and quality of life in cancer patients. However, studies on the relationship of trait emotional intelligence with anxiety, depression, and quality of life in gastric cancer patients are limited. This study investigates the relationship of trait emotional intelligence with depression and quality of life in gastric cancer patients to provide a theoretical basis for clinical management. Methods A total of 270 patients with gastric cancer treated in our hospital from July 2020 to July 2023 were selected, of which 31 patients with missing questionnaire entries and missed visits were screened out, resulting in the enrolment of 239 gastric cancer patients in this study. In this survey, self-administered general information questionnaires, namely Trait Emotional Intelligence Short Form (TEIQue-SF), European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30), and Hospital Anxiety and Depression Scale (HADS) were used. Results TEIQue-SF total scores were positively correlated with QLQ-C30 scores (p < 0.001) and negatively correlated with HADS-A and HADS-D scores (p < 0.001). TEIQue-SF total score was a superior positive predictor of the QLQ-C30 score (β = 0.412, p < 0.001) and a superior negative predictor of the HADS score (β = -0.740, p < 0.001). TEIQue-SF total score (β = 0.141, p = 0.006) and HADS score (β = -0.665, p < 0.001) were good predictors of QLQ-C30 score. The direct effect of TEIQue-SF total score on QLQ-C30 score was 0.141, while HADS score between TEIQue-SF total score and QLQ-C30 score had a mediated effect value of 0.492. Conclusion Trait emotional intelligence not only directly affects the quality of life, but also indirectly affects the quality of life through anxiety and depression. Clinicians should pay attention to the anxiety, depression, and emotional intelligence of patients with gastric cancer to help them improve their quality of life.

With the wave of positive psychology in second language acquisition, more emotion factors are gaining scholarly attention. Despite extensive research on Trait Emotional Intelligence (TEI), burnout and boredom in English as a Foreign Language (EFL) studies, the interplay of these variables remains unknown and the related impact on EFL learner\'s English Language Performance (ELP) is still underexplored. Given this, in light of Control-Value Theory (CVT), the present study used a quantitative method to examine the mediating roles of boredom and burnout in the connection between TEI and ELP among Chinese university students engaged in EFL endeavor. Data were collected from 489 s-year non-English major students. Structural equation modeling was utilized to analyze the relationships. Results revealed that TEI significantly influences ELP among Chinese EFL university students, through its correlation with both boredom and burnout. Higher levels of TEI are associated with reduced experiences of these negative states, which in turn are linked to improved language performance. These may imply that teacher educators should integrate emotional intelligence training into curricula and professional development to improve students\' effectiveness and learning outcome.

BACKGROUND: Examining children\'s abilities to recognize and regulate their emotions in the context of parental neglect is of significant importance in order to comprehend the dynamics of and to support the development of emotional skills of children, particularly those at risk of neglect. From this point of view, the aim of the study was to examine the mediating role of trait emotional intelligence (trait EI) in the relationship between parental neglect and cognitive emotion regulation strategies (CERS) in children.
METHODS: The study group consisted of 265 children (135 girls and 130 boys) who were attending two separate primary schools in the city center of Antalya, Turkey. The mean age of the children was 10.27 ± 0.45. As the data gathering instruments, an \"Individual Information Form\" was administered to assess the socio-demographic information of the children, while the \"Multidimensional Neglectful Behavior Scale-Child Report was administered to examine the level of neglect of children by the parents, the \"Trait Emotional Intelligence Questionnaire-Child Form\" was administered to assess the trait emotional intelligence level, and the \"Cognitive Emotion Regulation Strategies for Children Scale\" was administered to assess the CERS of the children.
RESULTS: It was found that trait EI played a full mediator role in the relationship between CERS and both maternal and paternal neglect (p < .05), except for the relationship between paternal neglect and maladaptive CERS (p > .05).
CONCLUSIONS: The results may suggest that neglected children use all emotion regulation skills, including both adaptive and maladaptive, to cope with their negative emotional experience, but may use adaptive CERS more if their trait EI is higher.

BACKGROUND: Global climate change is recognized as a major and irreversible challenge for humanity, requiring people\'s responsible and sustainable behaviors toward the environment. So far, the literature has widely investigated the role of cognitive determinants of ecological outcomes (e.g., pro-environmental behaviors and climate change perception), while less attention has been devoted to emotional processes, such as trait emotional intelligence (TEI). The current double study investigates whether TEI is directly and indirectly associated with climate change perception (CCP, Study 1) and pro-environmental behaviors (PEBs, Study 2) among young adults. Furthermore, the mediating role of connectedness to nature (CN), both as cognitive and emotional factors, was also analyzed. We hypothesized that CN (i.e., cognitive mediator) would positively mediate the relationship between TEI and CCP (H1), and Love and Care for Nature (LCN, i.e., emotional mediator) would positively mediate the relationship between TEI and PEBs (H2).
METHODS: The study involved 342 young adults (F = 60.7%; age 19-40; Mage=22.99; SD = 2.66) in Study 1 and 365 young adults (F = 71.2%; age 17-35; Mage=22.2; SD = 3.98) in Study 2. Data were collected through an online tool shared by the snowball method. We administered the following self-reports: Trait Emotional Intelligence Questionnaire- Short Form (TEIQue- SF), Global Climate Change (GCC), and Connectedness to Nature Scale (CNS) (Study 1); Trait Emotional Intelligence Questionnaire- Short Form (TEIQue-SF), General Environmental Behaviors Scale (GEB), and Love and Care for Nature (LCN) (Study 2).
RESULTS: Findings from Study 1 showed that higher TEI levels enhance CN (i.e., cognitive mediator), positively influencing CCP (estimate = 0.14; 95% CI = 0.07 to 0.23). Findings from Study 2 showed that higher TEI levels are associated with higher LCN levels (i.e., emotional mediator), influencing people\'s engagement in PEBs (estimate = 0.7; 95% CI = 0.03 to 0.11).
CONCLUSIONS: It is crucial to design environmental education programs that promote greater emotional intelligence ability and encourage individuals\' involvement in ecological outcomes.

BACKGROUND: There is a growing interest in understanding the role of trait emotional intelligence and resilience. However, few studies have examined the relationships between the various factors of trait emotional intelligence and resilience.
OBJECTIVE: To examine the factors of trait emotional intelligence and resilience using a structure equation modelling approach.
METHODS: A quantitative exploratory design using structural equation modelling approach.
METHODS: One university in Singapore.
METHODS: A total of 300 undergraduate nursing students were included in this study.
METHODS: A quantitative exploratory study using the structural equation modelling technique was conducted. The Trait Emotional Intelligence Questionnaire and Brief Resilience Scale were used to examine the relationships between trait emotional intelligence and resilience. The data analyses were conducted using SPSS and AMOS software.
RESULTS: The structural equation model found relationships between the various factors of trait emotional intelligence. There were associations between self-control, sociability, and emotionality scores with well-being scores. In addition, there is a relationship between emotionality and well-being scores on resilience scores.
CONCLUSIONS: The findings from this study illustrate the complex relationships between the various factors of trait emotional intelligence, and specifically how these factors are related to each other and resilience. The findings of this study propose that emotional intelligence are associated with one\'s resilience. For this reason, these findings will be important in the development of future resilience programs.

OBJECTIVE: The diagnosis of a disease such as breast cancer (BC) can be experienced as a sudden, unexpected, and life-threatening event accompanied by considerable uncertainty. This experience can precipitate the development of post-traumatic symptoms and depression. Conversely, certain individuals exhibit the capacity to reframe this traumatic event and transform it into an opportunity for personal growth. Existing research shows that individuals with high trait emotional intelligence (trait EI) tend to experience fewer post-traumatic stress symptoms (PTS), and greater post-traumatic growth (PTG). The aim of this study was to investigate the interrelationship among these variables and specifically examine whether PTS and PTG play a mediating role between trait EI, depression, and life satisfaction.
METHODS: Questionnaires were administered to 338 women with BC to assess trait EI, PTS, PTG, depression, and life satisfaction.
RESULTS: Results highlighted that trait EI was negatively related to PTS and depression and positively related to PTG and life satisfaction. In addition, both PTS and PTG showed a mediating role in the relationship between trait EI, depression, and life satisfaction. This study highlights the close link between depressive symptoms and post-traumatic cognitions in women with BC.
CONCLUSIONS: Current findings highlight links between trait EI, PTS, PTG, depressive symptoms, and life satisfaction. Clinicians could use these findings when developing interventions aimed at alleviating PTS, such as low mood and worry, and facilitating PTG. This study demonstrated that trait EI can reduce PTS and increase PTG, therefore it is important to include programs aimed at fostering trait EI.

BACKGROUND: One noteworthy concern within the realm of education is the level of engagement demonstrated by students. Among the factor that can have a crucial role in this domain is teacher support, especially emotional support which has an impact on several aspects of learners\' education. Furthermore, various studies have investigated the relationship between Emotional Intelligence (EI) and learners\' engagement.
METHODS: Accordingly, this study investigated the possible role of trait EI and the emotional support of teachers and how these constructs may work to associate learners\' engagement. For this objective, a total of 309 Chinese students across different colleges and universities in 5 provinces of Beijing, Shanghai, Jiangsu, Hubei, and Shaanxi were enrolled. They were 126 females and 183 males, with ages ranging from 18 to 30 years old (Mean = 24.6).
RESULTS: The results of this research through running Structural Equation Modeling (SEM) demonstrated that teachers\' emotional support and trait EI both can associate students\' learning engagement. The final measurement model shows that about 73% of changes in learners\' engagement can be associated by their trait EI and teachers\' emotional support.
CONCLUSIONS: This study underscores the importance of emotional support from teachers and the trait of EI in relation to students\' engagement in learning. Both factors were shown to play a significant role in associating student engagement. Moreover, this study could potentially have wider impacts on members of academic teams.

UNASSIGNED: The decline in life satisfaction throughout adolescence has led research to focus on variables that facilitate life satisfaction, such as social support and trait emotional intelligence. However, the relationship dynamics between the main sources of social support (family, friends and teachers), trait emotional intelligence (emotional attention, clarity and repair), and life satisfaction have yet to be elucidated.
UNASSIGNED: Therefore, the aim of this study is to test and compare a set of structural models that integrate these three variables.
UNASSIGNED: A sample of 1397 middle school students (48% males, 52% females) with age range 12-16 years (M = 13.88, SD = 1.27) was selected.
UNASSIGNED: The data showed that trait emotional intelligence significantly mediated the effect of the social support network on life satisfaction, highlighting the greater contribution of family support, emotional clarity, and emotional repair as enabling factors of adolescent well-being.
UNASSIGNED: Psychoeducational and social implications of these results are discussed.

UNASSIGNED: Problematic social media use is becoming a significant social and clinical concern, and there is growing research interest in the psychological factors involved, such as personality predispositions and the fear of missing out (FOMO). The present study investigated both the dark triad (DT, namely, narcissism, Machiavellianism, and psychopathy) and trait emotion intelligence (trait EI) in relation to the problematic use of technology and social media engagement and the mediating role of FOMO.
UNASSIGNED: A total of 788 people between 18 and 35 years old (M = 24.22; SD = 3.91; 75% women) were surveyed.
UNASSIGNED: The results showed that social media engagement was positively related to problematic social media use and negatively related to trait EI. In addition, problematic social media use was positively related to DT and negatively related to trait EI. Fear of missing out was positively related to social media engagement, problematic social media use, and DT, and negatively related to trait EI. Fear of missing out had a mediating effect on the relationship between personality dimensions, problematic social media use, and social media engagement.
UNASSIGNED: The extent to which personality traits may underpin problematic use of social media and the practical implications of the findings are discussed.

UNASSIGNED: The study aims to assess the impact of COVID-19 on healthcare workers\' work-related stress during the first wave of the pandemic in Italy. The main objective is to investigate the existence of a positive correlation between hopelessness and burnout, assuming that burnout may be a risk factor for the development of hopelessness, and to analyze the role that trait Emotional Intelligence (TEI) and changes in workload could have in this relationship. Furthermore, evaluate any significant differences in burnout and hopelessness levels in the function of some demographic variables, such as gender, professional profiles, and different working zones of Italy, to better understand how the diverse diffusion of pandemic had affected Italian healthcare workers.
UNASSIGNED: An online survey was used to collect data between April and June, 2020, with 562 responses among nurses (52.1%) and physicians (47.9%). Demographics and changes in workload and work conditions were collected through an ad hoc questionnaire. The Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), The Beck Hopelessness Scale (BHS), and the Link Burnout Questionnaire (LBQ) were used to assess Trait Emotional Intelligence (TEI), hopelessness, and burnout, respectively.
UNASSIGNED: Correlation analysis showed a significant positive relationship between hopelessness and each burnout dimension. TEI showed negative correlations both with burnout dimensions and hopelessness. Significant differences in burnout and hopelessness levels emerged as a function of some demographic variables such as gender, professional profiles (nurses or physicians), and different working zone of Italy (northern or southern). Results showed that TEI partially mediated the relationship between hopelessness and every burnout dimension, while the interaction of changes in workload was non-significant.
UNASSIGNED: The mediating role of TEI in the burnout-hopelessness relationship partly explains the protective role that individual factors had on healthcare workers\' mental health. Our findings support the need to integrate considerations on both psychological risk and protective factors into COVID-19 care, including the monitoring of psychological symptoms and social needs, especially among healthcare workers.