A Persian validation of the burnout assessment tool.

BACKGROUND: Burnout is an increasing public health concern. Its prevalence has extended across diverse professions globally, posing significant challenges to individuals, organizations, and society. This phenomenon has undermined employee well-being, productivity, and organizational effectiveness, making it a critical concern in contemporary work environments. The present study aimed to examine the adaptation and assess the validity of the Persian version of the Burnout Assessment Tool (BAT). METHODS: The adaptation process included the translation and back-translation of the BAT. Data were collected on a sample of 580 teachers using the convenience sampling. The BAT-Persian and Utrecht Work Engagement Scale were administered to collect the data. The reliability, factorial structure of the BAT-C and BAT-S, and the convergent and discriminant validity of BAT-C and work engagement were explored. RESULTS: Confirmatory factor analysis supported a four-factor structure for the core dimensions (BAT-C; exhaustion, mental distance, emotional impairment, cognitive impairment), and a two-factor structure for the secondary dimensions (BAT-S; psychological distress, psychosomatic complaints). In the second-order model, the item loadings on the four factors of BAT-C ranged from 0.35 to 0.85, and on two factors of BAT-S ranged from 0.63 to 0.89. The Persian versions of the BAT-C and BAT-S showed good internal consistency (respectively, α = 0.95 and 0.90). Additional evidence supports the convergent and discriminant validity of the BAT-GR. the BAT-C and its scales were negatively correlated with work engagement and dimensions (i.e., vigor, dedication, and absorption). Moreover, the BAT-S and its scales negatively correlated with work engagement and dimensions. CONCLUSIONS: This study provided evidence that the Iranian version of BAT represents a reliable and valid tool for measuring burnout in the work context. A reliable and valid tool for assessing burnout in the Iranian workplace enables early detection of employee distress, allowing for timely intervention and support. This means that identifying the signs and symptoms of burnout in the early stages can prevent more severe consequences such as absenteeism, reduced productivity, or turnover.

A multidimensional longitudinal dataset on functional somatic syndromes.

Functional disorders represent a prevalent health issue, significantly impacting both individuals and healthcare systems. This multidisciplinary dataset aims to enhance our comprehension of the complex interplay among various factors that contribute to functional somatic syndromes. The dataset comprises data from seemingly healthy adults (aged 18-65) in Isfahan, Iran, who were randomly selected and monitored for four consecutive years. The research data encompasses seven distinct datasets: (a) functional symptom evaluations across multiple body organs, (b) psychological assessments, (c) lifestyle factors, (d) demographic and socioeconomic variables, (e) laboratory measurements, (f) clinical examinations, and (g) historical information. A total of 1930 participants were enrolled at the study's outset in 2017. The first, second, and third annual follow-up rounds were completed with 1697 (2018), 1616 (2019), and 1176 (2020) participants, respectively. This dataset is made available for further analysis by a diverse range of researchers, healthcare policymakers, and clinicians.

Physician's Burnout during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

The burnout rate among physicians is expected to be higher during COVID-19 period due to the additional sources of physical and emotional stressors. Throughout the current COVID-19 pandemic, numerous studies have evaluated the impacts of COVID-19 on physicians' burnout, but the reported results have been inconsistent. This current systematic review and meta-analysis aims to assess and estimate the epidemiology of burnout and the associated risk factors during the COVID-19 pandemic among physicians. A systematic search for studies targeting physicians' burnout was conducted using PubMed, Scopus, ProQuest, Cochrane COVID-19 registry, and pre-print services (PsyArXiv and medRχiv) for English language studies published within the time period of 1 January 2020 to 1 September 2021. Search strategies resulted in 446 possible eligible studies. The titles and abstracts of these studies were screened, which resulted in 34 probable studies for inclusion, while 412 studies were excluded based on the predetermined inclusion criteria. These 34 studies went through a full-text screening for eligibility, which resulted in 30 studies being included in the final reviews and subsequent analyses. Among them, the prevalence of physicians' burnout rate ranged from 6.0-99.8%. This wide variation could be due to the heterogeneity among burnout definitions, different applied assessment tools, and even cultural factors. Further studies may consider other factors when assessing burnout (e.g., the presence of a psychiatric disorders, other work-related and cultural factors). In conclusion, a consistent diagnostic indices for the assessment of burnout is required to enable consistent methods of scoring and interpretation.

Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers.

An important factor in the course of daily medical diagnosis and treatment is understanding patients' emotional states by the caregiver physicians. However, patients usually avoid speaking out their emotions when expressing their somatic symptoms and complaints to their non-psychiatrist doctor. On the other hand, clinicians usually lack the required expertise (or time) and have a deficit in mining various verbal and non-verbal emotional signals of the patients. As a result, in many cases, there is an emotion recognition barrier between the clinician and the patients making all patients seem the same except for their different somatic symptoms. In particular, we aim to identify and combine three major disciplines (psychology, linguistics, and data science) approaches for detecting emotions from verbal communication and propose an integrated solution for emotion recognition support. Such a platform may give emotional guides and indices to the clinician based on verbal communication at the consultation time.

Student Subjective Wellbeing amidst the Covid-19 Pandemic in Iran: Role of Loneliness, Resilience and Parental Involvement.

The COVID-19 pandemic and lockdowns potentially severely impact adolescents' mental well-being. This research aims to study students' subjective well-being during the covid-19 pandemic in Iran and investigate the role of loneliness, resilience, and parental involvement. For this study, 629 students (female = 345) were recruited by purposive sampling. Students were assessed on the Student's Subjective Well-Being, Loneliness Scale, Resilience Scale, and Parental Involvement. The results confirm our hypothesis that the relationship between parental involvement and students' subjective well-being is mediated by loneliness. Furthermore, the results indicated a partial mediation of resilience in the relationship between parental involvement and students' subjective well-being. This study theoretically contributes to a better understanding of the factors determining the impact of traumatic events such as a pandemic on adolescents' mental health. The implications of this study indicate interventions that can be carried out to minimize the negative psychological consequences of the pandemic.