Introduction: The aim of this study was to evaluate the effects of consecutive night shifts (CNS) and shift length on cognitive performance and sleepiness.
Materials And Methods: This study evaluated the sleepiness and performance of 30 control room operators (CROs) working in 7 nights, 7 days, 7 days off (7N7D7O) and 30 CROs working in 4 nights, 7 days, 3 nights, 7 days off (4N7D3N7O) shift patterns in a petrochemical complex on the last night shift before swinging into the day shift. To assess cognitive performance, the n-back test, continuous performance test and simple reaction time test were employed. To assess sleepiness, the Karolinska sleepiness scale was used.
Results: Both schedules indicated that the correct responses and response times of working memory were reduced (p = 0.001), while intentional errors and sleepiness increased during the shift work (p = 0.001). CNS had a significant impact on reaction time and commission errors (p = 0.001).
Conclusion: The main duty of CROs at a petrochemical plant is checking hazardous processes which require appropriate alertness and cognitive performance. As a result, planning for appropriate working hours and suitable number of CNS in a rotating shift system is a contribution to improving CRO performance and enhancing safety.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10803548.2016.1244422 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of a home-based computerized cognitive training in Parkinson's disease: a pilot randomized cross-over study.
Front Psychol
January 2025
Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Neuropsychology of Bari Institute, Bari, Italy.
Introduction: Cognitive symptoms are common in Parkinson's Disease (PD), and digital interventions like telerehabilitation other an accessible way to manage these symptoms. This study aimed to assess the effectiveness of a Home-Based Computerized Cognitive Training (HB-CCT) program in individuals with PD using a pilot randomized cross-over design.
Methods: Twenty-five participants (mean age 69.
Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus.
Front Neurol
January 2025
Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Objective: To investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.
Methods: A total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients.
Clinical characteristics and biomarker profile in early- and late-onset Alzheimer's disease: the Shanghai Memory Study.
Brain Commun
January 2025
Institute and Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Early-onset Alzheimer's disease constitutes ∼5-10% of Alzheimer's disease. Its clinical characteristics and biomarker profiles are not well documented. To compare the characteristics covering clinical, neuropsychological and biomarker profiles between patients with early- and late-onset Alzheimer's disease, we enrolled 203 patients (late-onset Alzheimer's disease = 99; early-onset Alzheimer's disease = 104) from a Chinese hospital-based cohort, the Shanghai Memory Study.
View Article and Find Full Text PDFNeural reshaping: the plasticity of human brain and artificial intelligence in the learning process.
Am J Neurodegener Dis
December 2024
School of Electrical Engineering, Iran University of Science and Technology Tehran, Iran.
Unlabelled: This study explores the concept of neural reshaping and the mechanisms through which both human and artificial intelligence adapt and learn.
Objectives: To investigate the parallels and distinctions between human brain plasticity and artificial neural network plasticity, with a focus on their learning processes.
Methods: A comparative analysis was conducted using literature reviews and machine learning experiments, specifically employing a multi-layer perceptron neural network to examine regression and classification problems.
Multidimensional 1-Year Outcomes After Intensive Care Admission for Multisystem Inflammatory Syndrome in Children.
Crit Care Explor
January 2025
Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
Objectives: The COVID-19 pandemic gave rise to uncertainty concerning potential sequelae related to a severe acute respiratory syndrome coronavirus 2 infection. This landscape is currently unfolding with studies reporting sequelae on various domains (physical, cognitive, and psychosocial), although most studies focus on adults or only one domain. We sought to investigate concurrent sequelae on multiple domains 1 year after PICU admission for Multisystem Inflammatory Syndrome in Children (MIS-C).
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!