Corrigendum

Abstract

Journal of Sleep ResearchVolume 17, Issue 1 p. 120-120 Free Access Corrigendum This article corrects the following: Predicting long-term sickness absence from sleep and fatigue TORBJORN AKERSTEDT, GORAN KECKLUND, LARS ALFREDSSON, JAN SELEN, Volume 16Issue 4Journal of Sleep Research pages: 341-345 First Published online: November 21, 2007 First published: 11 February 2008 https://doi.org/10.1111/j.1365-2869.2008.00643.xAboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat In Akerstedt et al. (2007), there were errors in the summary. Summary On page 341, the following text was incorrect: Disturbed or shortened sleep is prospectively related to disease. One might also expect that sickness absence would be another consequence but very little data seem to exist. The present study used 8300 individuals in a national sample to obtain information on reports of disturbed sleep and fatigue 1 year and merged this with data on long-term sickness absence 2 years later. A logistic regression analysis was applied to the data with adjustments for demographic and work environment variables. The results showed that individuals without registered sickness absence at the start had a higher probability of entering a period of long-term (≥90 days, odds ratio [OR] = 1.24 with 95% confidence interval [CI] = 1.02–1.51) sickness absence 2 years later if they reported disturbed sleep at the start. The figure for fatigue was OR = 1.35 (CI = 1.14–1.60). When fatigue or disturbed sleep was separately excluded the OR increased to OR = 1.44 and OR = 1.47, respectively. Intermediate sickness absence (14–89 days) showed similar but slightly weaker results. The results indicate that disturbed sleep and fatigue are predictors of long-term absence and it is suggested that impaired sleep may be part of a chain of causation, considering its effects on fatigue. The text was incorrect and should have read as follows: Disturbed or shortened sleep is prospectively related to disease. One might also expect that sickness absence would be another consequence but very little data seem to exist. The present study used 8300 individuals in a national sample to obtain information on reports of disturbed sleep and fatigue one year and merged this with data on long-term sickness absence two years later. A logistic regression analysis was applied to the data with adjustments for demographic and work environment variables. The results showed that individuals without registered sickness absence at the start had a higher probability of entering a period of long-term (≥90 days, odds ratio [OR] = 1.55 with 95% Confidence Interval [CI] = 1.09–2.18) sickness absence two years later if they reported disturbed sleep at the start. The value for fatigue was OR = 1.69 (CI = 1.23–2.33). When fatigue or disturbed sleep was separately excluded the OR increased to 1.90 and 1.86, respectively. Intermediate sickness absence (14–89 days) showed similar but slightly weaker results. The results indicate that disturbed sleep and fatigue are predictors of long-term absence and it is suggested that impaired sleep may be part of a chain of causation, considering its effects on fatigue. Reference Akerstedt, T., Kecklund, G., Alfredsson, L. and Selen, J. Predicting long-term sickness absence from sleep and fatigue. J. Sleep Res., 2007, 16: 341– 345. Wiley Online LibraryCASPubMedWeb of Science®Google Scholar Volume17, Issue1March 2008Pages 120-120 ReferencesRelatedInformation