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This large-scale cross-sectional multicenter study aims to investigate the prevalence of sleep disorders among frontline nurses in China after the COVID-19 pandemic and to identify potential influencing factors contributing to these sleep disturbances. A total of 2065 frontline nurses from 27 provinces in China participated in an online survey conducted through the Wenjuan Xing platform. Data on demographic characteristics, work-related factors, and mental health assessments, including the Pittsburgh Sleep Quality Index (PSQI), Zung Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS), were collected. Statistical analyses, including chi-square tests, t-tests, binary logistic regression, and ROC analysis, were conducted to explore the relationships between various factors and sleep disorders. Over half (52.7%) of the surveyed nurses exhibited sleep disorders, reflecting a considerable post-pandemic impact on sleep quality. Factors such as nursing titles, personality traits, COVID-19 infection status, and exercise frequency showed statistically significant associations with sleep disorders. Extraverted nurses and those who had recovered from COVID-19 displayed a lower risk of sleep disorders, while anxiety was identified as an independent risk factor. The study also identified a nuanced relationship between exercise frequency and sleep quality. The study highlights a high prevalence of sleep disorders among frontline nurses post-COVID-19, emphasizing the need for targeted interventions. Factors such as nursing titles, personality traits, COVID-19 infection status, exercise habits, and anxiety levels were found to influence sleep quality. Comprehensive support strategies addressing these factors are essential for improving the overall well-being of frontline nurses and, subsequently, sustaining a resilient healthcare workforce. Further research is recommended to explore additional influencing factors and consider diverse nurse populations.
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http://dx.doi.org/10.1007/s00702-024-02836-5 | DOI Listing |
JAMA Netw Open
September 2025
Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: As obesity rates rise in the US, managing associated metabolic comorbidities presents a growing burden to the health care system. While bariatric surgery has shown promise in mitigating established metabolic conditions, no large studies have quantified the risk of developing major obesity-related comorbidities after bariatric surgery.
Objective: To identify common metabolic phenotypes for patients eligible for bariatric surgery and to estimate crude and adjusted incidence rates of additional metabolic comorbidities associated with bariatric surgery compared with weight management program (WMP) alone.
Acta Neurol Belg
September 2025
Neuroscience Research Australia, University of New South Wales, Sydney, Australia.
Objectives: Patients diagnosed with amyotrophic lateral sclerosis (ALS) typically describe symptoms of fatigue. Despite this frequency, the underlying mechanisms of fatigue are poorly understood, and are likely multifactorial. To help clarify mechanisms, the present systematic review was undertaken to determine the risk factors related to fatigue in ALS.
View Article and Find Full Text PDFEndocr Connect
September 2025
Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Objective: Characterize disease-specific mortality rates in patients with acromegaly on pegvisomant and identify pertinent risk factors, including on-therapy insulin-like growth factor I (IGF-I) levels.
Design: Retrospective cohort analysis of ACROSTUDY, a global surveillance study of patients with acromegaly receiving pegvisomant.
Methods: Cumulative incidence function to estimate disease-specific mortality and regression analyses to characterize risk factors.
J Psychopharmacol
September 2025
Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
Rapid eye movement sleep (REMS) has historically been associated with anecdotal 'creative insights', possibly due to the fantastical and ostensibly illuminating nature of its associated phenomena (dreams). REMS, characterised by rapid eye movements, muscle atonia, and high-energy neuronal activity, has been linked to memory consolidation and information processing, particularly regarding the formation of novel associations or reintegration of consolidated memories into new cognitive networks. However, studies in these domains have largely used methodology which deprived subjects (animal or human) of REMS, rather than enhanced it.
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