Background: Few have examined the condition of subjective daytime sleepiness in workers and its relation to their work productivity. This study aimed to clarify the association between the presence of subjective daytime sleepiness and work productivity measures, including presenteeism and absenteeism, as well as factors related to the presence of the symptom in daytime workers.
Methods: This cross-sectional study included 17963 daytime workers who attended the annual medical check-up. They were categorized into four groups; the daytime sleepiness group was defined as having only subjective daytime sleepiness, the insomnia group as having only insomnia symptoms, the combination group as having both subjective daytime sleepiness and insomnia symptoms, and the healthy group as having no sleep complaints. This study used demographics, health status, workplace, work productivity, and sleep items included in the self-reported medical check-up questionnaire.
Results: The combination group had significantly worse presenteeism than other groups. The daytime sleepiness and insomnia groups had significantly worse presenteeism than the healthy group. The results of absenteeism were the same as presenteeism. Factors related to the positivity for subjective daytime sleepiness were presence of psychiatric disease, the positivity for habitual snoring and/or witnessed apnea, shorter sleep duration on workdays, long working hours, female sex, living alone, the amount of social jetlag, and younger age.
Conclusions: Subjective daytime sleepiness, not just insomnia symptoms, has a significant negative impact on work productivity, and both workplace and individual approaches should not be ignored for addressing subjective daytime sleepiness among daytime workers.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2188/jea.JE20240295 | DOI Listing |
Ann Clin Transl Neurol
December 2024
Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Objectives: To explore the efficacy of ofatumumab in new onset narcolepsy type 1 following SARS-CoV-2 infection.
Methods: We present a 9-year-old girl who experienced new onset narcolepsy type 1 following SARS-CoV-2 infection. Polysomnography (PSG) followed by a daytime multiple sleep latency test (MSLT) was under taken after admission.
Metabolites
December 2024
Centre for Research in Eating and Weight Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
Background/objectives: Like in the general population, the prevalences of eating- and weight-related health issues in the armed forces are increasing. Relevant medical conditions include the eating disorders (EDs) anorexia nervosa, bulimia nervosa, binge eating disorder, and avoidant restrictive food intake disorder (ARFID), as well as body dysmorphic disorder, muscle dysmorphia, and the relative energy deficiency in sport (RED-S) syndrome.
Methods: We performed a narrative literature review on eating- and weight-related disorders in the armed forces.
Clocks Sleep
December 2024
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit, at CRCN-Centre for Research in Cognition and Neurosciences and UNI-ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium.
Continued solicitation of cognitive resources eventually leads to cognitive fatigue (CF), i.e., a decrease in cognitive efficiency that develops during sustained cognitive demands in conditions of constrained processing time, independently of sleepiness.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People's Republic of China.
Purpose: Numerous studies have identified a correlation between sleep and delirium; however, the causal relationship remains ambiguous. This bidirectional two-sample Mendelian randomization (MR) study was conducted to examine the possible causal relationships between sleep traits and delirium.
Patients And Methods: Utilizing genome-wide association studies (GWAS), we identified ten sleep traits: chronotype, sleep duration, short sleep duration, long sleep duration, daytime napping, daytime sleepiness, insomnia, number of sleep episodes (NSE), sleep efficiency, and rapid eye movement sleep behavior disorder (RBD).
Background: Nurses face significant risks of excessive daytime sleepiness (EDS), which adversely affects workplace safety and productivity. Yet, the extent of EDS in this workforce remains inadequately characterized.
Aim: The aims of this systematic review were to assess the pooled prevalence of EDS among nurses.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!