Objective To describe the health profile of mental and behavioral disorders in health professionals at a teaching hospital in southern Brazil. Methods This was a quantitative, retrospective cross-sectional epidemiological study whose data were collected through institutional documents used to feed the Health Monitoring System for Nursing Professionals and involved all absenteeism occurred in 2011. Results We found 55 records of absenteeism due to mental and behavioral disorders, a total of 317 days absent. Nursing technicians were the most absentee, with 29.09% of the records. The intensive care unit represented the sector with the highest number of days absent, 81%, and depressive episodes were the most frequent, representing 52.72% of mental disorders. Conclusion The results showed that mental disorders in health professionals are a cause for concern and urgently need intervention.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1590/1983-1447.2016.01.53485 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Dynamics of affect modulation in neurodevelopmental disorders (DynAMoND) - study design of a prospective cohort study.
Int J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.
View Article and Find Full Text PDFA real-time environmental translator for emotion recognition in autism spectrum disorder.
Sci Rep
December 2024
The Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel, Israel.
Autism spectrum disorder (ASD) involves challenges in communication and social interaction, including challenges in recognizing emotions. Existing technological solutions aim to improve social behaviors in individuals with ASD by providing learning aids. This paper presents a real-time environmental translator designed to enhance social behaviors in individuals with ASD using sensory substitution.
View Article and Find Full Text PDFExploring fatty acid metabolism in Alzheimer's disease: the key role of CPT1A.
Sci Rep
December 2024
Department of Neurology, Union Hospital of Jilin University, Changchun, 130000, China.
Alzheimer's disease (AD) is a severe neurodegenerative disease, and the most common type of dementia, with symptoms of progressive cognitive dysfunction and behavioral impairment. Studying the pathogenesis of AD and exploring new targets for the prevention and treatment of AD is a very worthwhile challenge. Accumulating evidence has highlighted the effects of fatty acid metabolism on AD.
View Article and Find Full Text PDFUncovering metabolic dysregulation in schizophrenia and cannabis use disorder through untargeted plasma lipidomics.
Sci Rep
December 2024
Department of Pharmacology, University of the Basque Country, UPV/EHU, Sarriena S/N, 48940, Leioa, Bizkaia, Spain.
Cannabis use disorder affects up to 42% of individuals with schizophrenia, correlating with earlier onset, increased positive symptoms, and more frequent hospitalizations. This study employed an untargeted lipidomics approach to identify biomarkers in plasma samples from subjects with schizophrenia, cannabis use disorder, or both (dual diagnosis), aiming to elucidate the metabolic underpinnings of cannabis abuse and schizophrenia development. The use of liquid chromatography-high resolution mass spectrometry enabled the annotation of 119 metabolites, with the highest identification confidence level achieved for 16 compounds.
View Article and Find Full Text PDFEnhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.
Sci Rep
December 2024
Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il, 81481, Saudi Arabia.
Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking problems. The symptoms of Alzheimer's are similar throughout its development stages, which makes it difficult to diagnose manually. Therefore, artificial intelligence (AI) techniques address the limitations of manual diagnosis.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!