Structural equation modelling for the effect of physical exercise on excessive daytime sleepiness

• Published in: Public health (London) Vol. 141; pp. 95 - 99
• Main Authors: Kwon, A.M, Shin, C
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 01.12.2016; Elsevier Science Ltd
• Subjects: Case-Control Studies; Causality; Cohort analysis; Cohort Studies; Cohort study; Day time; Daytime; Depression - epidemiology; Disorders of Excessive Somnolence - epidemiology; Excessive daytime sleepiness; Exercise; Female; Health problems; Humans; Infectious Disease; Internal Medicine; Male; Mathematical models; Mental depression; Middle Aged; Models, Theoretical; Physical exercise; Population studies; Public health; Risk analysis; Risk Factors; Sleep; Sleep - physiology; Sleep and wakefulness; Sleep disorders; Sleepiness; Statistical analysis; Structural equation modeling; Structural equation modelling; Physical exercise; Excessive daytime sleepiness; Structural equation modelling; Causality; Cohort study
• ISSN: 0033-3506; 1476-5616
• DOI: 10.1016/j.puhe.2016.08.024

Abstract Objectives The present study aimed to examine the effect of physical exercise on excessive daytime sleepiness (EDS) which is a significant public health problem. Study design This is a population-based cohort study. Methods We hypothesized that those who engage in regular exercise would have lower chances of dozing in the daytime and examined causal relationships between EDS and known risk factors for EDS using structural equation model (SEM). Results We found that causal relationships from both depression and sleep quality to EDS were relatively weaker in those who regularly engage in physical exercise, which resulted in lower chances of having EDS. Conclusion Regular exercise may play a protective role in EDS prevention.