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

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dc.contributor.authorKwon, A. M.-
dc.contributor.authorShin, C.-
dc.date.accessioned2021-09-03T16:29:56Z-
dc.date.available2021-09-03T16:29:56Z-
dc.date.created2021-06-16-
dc.date.issued2016-12-
dc.identifier.issn0033-3506-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/86744-
dc.description.abstractObjectives: 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. (C) 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherW B SAUNDERS CO LTD-
dc.subjectDEPRESSION-
dc.subjectQUALITY-
dc.titleStructural equation modelling for the effect of physical exercise on excessive daytime sleepiness-
dc.typeArticle-
dc.contributor.affiliatedAuthorKwon, A. M.-
dc.contributor.affiliatedAuthorShin, C.-
dc.identifier.doi10.1016/j.puhe.2016.08.024-
dc.identifier.scopusid2-s2.0-84991475465-
dc.identifier.wosid000390639900016-
dc.identifier.bibliographicCitationPUBLIC HEALTH, v.141, pp.95 - 99-
dc.relation.isPartOfPUBLIC HEALTH-
dc.citation.titlePUBLIC HEALTH-
dc.citation.volume141-
dc.citation.startPage95-
dc.citation.endPage99-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPublic, Environmental & Occupational Health-
dc.relation.journalWebOfScienceCategoryPublic, Environmental & Occupational Health-
dc.subject.keywordPlusDEPRESSION-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordAuthorExcessive daytime sleepiness-
dc.subject.keywordAuthorStructural equation modelling-
dc.subject.keywordAuthorPhysical exercise-
dc.subject.keywordAuthorCausality-
dc.subject.keywordAuthorCohort study-
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College of Public Policy > Big Data Science in Division of Economics and Statistics > 1. Journal Articles
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