Objective: The aim of this study was to compare problem solving strategies between peoples with high and low emotional intelligence (EI).
Methods: This study is a cross sectional descriptive study.The sample groups include senior BS& BA between 20-30 years old into two with high and low emotional intelligence, each group had 30 subjects.Data was analyzed with non-parametric chi square test for main dependent variable (problem solving strategies) and accessory dependent variables(manner of starting and fulfillmentof the test).The Independent two group T-test was used for analyzing other accessory dependent variables(Number of errors and total time used for fulfillment of the test).
Results: There was a significant difference between two groups in "number of errors" (t=-3.67,p=0) and "total time used for fulfillment of the test"(-6.17,p=0) and there was significant relation between EI and "problem solving strategies" (χ2=25.71, p<0.01) and (Cramer's v = 0.65, p<0.01) .Also there was significant relation between EI and "fulfillment of test" (χ2=20.31, p<0.01) and (φ=0.58, p<0.01). But the relation between EI and "manner of starting the test" was not significant (χ2=1.11, p=0.29). Subjects with high EI used more "insightful" strategy and subjects with low EI used more "trial- error" strategy. The first group completed the test more rapidlyand with fewer errors, compared with the second group. In addition the first group was more successful in performing the test than the second one.
Conclusion: People with high EI significantly solve problems better than people with lowEI.
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J Healthc Manag
January 2025
Division of Hospital Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, and Rocky Mountain Regional VA Medical Center, Aurora, Colorado.
Goal: To evaluate long-term outcomes of Better Together Physician Coaching, a digital life-coaching program to improve resident well-being.
Methods: We performed a secondary analysis of survey data from the pilot program implementation between January 2021 and June 2022. An intention-to-treat analysis was completed for baseline versus post-6 months and baseline versus post-12 months for all outcome measures.
Healthcare (Basel)
January 2025
Faculty of Medicine, University of Granada, 18012 Granada, Spain.
Early childhood intervention professionals have higher rates of work-related stress and burnout compared to other health professionals. Furthermore, this is exacerbated by exposure to negative emotions, the stigma associated with mental health, and even the stress experienced by families due to the impact of having a child with a developmental disability. The aim of this study was to determine whether emotional intelligence and empathy were able to predict resilience in early childhood care professionals.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Social Medicine, School of Medicine, University of Crete, 71500 Heraklion, Greece.
Background/objectives: High levels of emotional intelligence (EI) and resilience in primary care physicians (PCPs) can help them communicate better with patients, build stronger relationships with colleagues, and foster a positive and collaborative workplace. However, studies have indicated that primary care physicians (PCPs) often do not focus enough on developing these skills. Consequently, the purpose of this mixed methods study was to evaluate the effectiveness of an experiential online training (EOT) intervention in enhancing the EI and resilience of PCPs who treat patients with chronic respiratory diseases (CRDs).
View Article and Find Full Text PDFThis study aimed to validate the Dutch version of the Stanford Gender-Related Variables for Health Research (GVHR) questionnaire and explore sex differences in lifestyle factors, mental health, and health status. In 2021, 569 Dutch participants (54% women, 45% men, aged 20-80) completed the survey. Sex-stratified analyses examined associations with lifestyle (obesity, smoking, alcohol use, physical activity), mental health (depression, anxiety, stress), and overall health status.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
School of Public Health, Imperial College London, London, United Kingdom.
Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.
Objective: We tested different strategies to improve response rate and reduce nonresponse bias in a national population-based COVID-19 surveillance program in England, United Kingdom.
Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.
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