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Predicting long‐term sickness absence from sleep and fatigue
Author(s) -
AKERSTEDT TORBJORN,
KECKLUND GORAN,
ALFREDSSON LARS,
SELEN JAN
Publication year - 2007
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1111/j.1365-2869.2007.00609.x
Subject(s) - confidence interval , sleep (system call) , logistic regression , odds ratio , medicine , term (time) , sleep deprivation , psychology , demography , pediatrics , psychiatry , cognition , sociology , computer science , operating system , physics , quantum mechanics
Summary 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.