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With the increasing prevalence of mental health difficulties in sport, athletes may be at greater risk of burnout than ever before. In the present study, we tested this possibility by examining whether average athlete burnout levels have changed over the past 2 decades, from 1997 to 2019. A literature search returned 91 studies (N = 21,012) and 396 effect sizes. Findings from cross-temporal meta-analysis suggested that burnout symptoms have increased over the past 2 decades. Specifically, we found that athletes' mean levels of reduced sense of athletic accomplishment and sport devaluation have increased. As burnout symptoms are now typically higher among athletes than in the past, we can expect more athletes to be prone to the negative effects of burnout. Sport is therefore in urgent need of prevention and intervention strategies to stop and reverse this trend.
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http://dx.doi.org/10.1123/jsep.2020-0291 | DOI Listing |
Clin Epigenetics
September 2025
Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany.
Background: Work-related stress is a well-established contributor to mental health decline, particularly in the context of burnout, a state of prolonged exhaustion. Epigenetic clocks, which estimate biological age based on DNA methylation (DNAm) patterns, have been proposed as potential biomarkers of chronic stress and its impact on biological aging and health. However, their role in mediating the relationship between work-related stress, physiological stress markers, and burnout remains unclear.
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September 2025
Samantha Saggese practices in the Division of Nephrology and Hypertension at Northwestern Memorial Hospital and is system advanced practice provider liaison to the Office of Well-being at Northwestern Medicine, both in Chicago, IL. Alexander Hembrey practices orthopedic surgery and is APP program ma
Objective: This study aimed to measure the impact of adverse events (AEs) on advanced practice provider (APP) well-being and to describe symptoms of second victim syndrome (SVS) among this group of healthcare professionals.
Methods: A survey was designed to measure the incidence of AEs among APPs employed at a large healthcare system and AE impact on emotional, physical, and professional well-being. It also measured burnout, callousness, and the desire for peer support among APPs who had experienced AEs and those who had not.
BMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.
Front Med (Lausanne)
August 2025
Department of Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: This study evaluates how AI enhances EHR efficiency by comparing a lung cancer-specific LLM with general-purpose models (DeepSeek, GPT-3.5) and clinicians across expertise levels, assessing accuracy and completeness in complex lung cancer pathology documentation and task load changes pre-/post-AI implementation.
Methods: This study analyzed 300 lung cancer cases (Shanghai Chest Hospital) and 60 TCGA cases, split into training/validation/test sets.
Front Public Health
September 2025
Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Objective: To investigate the neural and molecular correlates of occupational burnout in nurses by integrating resting-state fMRI (rs-fMRI), clinical assessments, brain-wide gene expression, and neurotransmitter atlases.
Methods: Fifty-one female nurses meeting burnout criteria and 51 matched healthy controls underwent 3 T rs-fMRI. We analyzed fractional amplitude of low-frequency fluctuations (fALFF) and seed-based functional connectivity (FC), correlating findings with burnout (emotional exhaustion [EE], depersonalization [DP], and personal accomplishment [PA]).