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- Akerstedt, Torbjorn, et al.
(författare)
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Predicting long-term sickness absence from sleep and fatigue.
- 2007
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Ingår i: J Sleep Res. - : Wiley. - 0962-1105 .- 1365-2869. ; 16:4, s. 341-5
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Predicting long-term sickness absence from sleep and fatigue.Akerstedt T, Kecklund G, Alfredsson L, Selen J.Institute for Psychosocial Medicine, Public Health Sciences, Karolinska Institutet, Stockholm, Sweden. torbjorn.akerstedt@ipm.ki.seDisturbed 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.PMID: 18036078 [PubMed - in process]
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| 2. |
- Persson, Roger, et al.
(författare)
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Impact of an 84-hour workweek on biomarkers for stress, metabolic processes and diurnal rhythm
- 2006
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Ingår i: Scandinavian Journal of Work, Environment and Health. - 0355-3140. ; 32:5, s. 349-358
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Tidskriftsartikel (refereegranskat)abstract
- Objectives This study examined the degree to which long workhours in combination with an extended workweek (12 hours/7 days) with permanent day shifts (0700-1900), as requested by the workers, influenced biomarkers for stress, metabolic processes, and diurnal rhythm. Methods Construction workers (N=50) working 84 hours a week, with alternate weeks off, were compared with construction workers (N=25) having a traditional 40-hour work schedule. The participants were all male and between the ages of 21 to 65 years. Blood samples were obtained in the morning immediately prior to the start of work on workday 1, 5, and 7 to assess cholesterol, cortisol, dehydroepiandrosterone, melatonin, prolactin, testosterone, and uric acid. Psychosocial circumstances were assessed with a questionnaire. Results The 84-hour group had higher melatonin concentrations and reported higher job-control scores than the 40-hour group. For both groups, the melatonin, cortisol, and cholesterol concentrations were lower on workday 5 than on workday 1. In the 84-hour group, most of the biomarkers were significantly lower in concentrations on workday 7 than on workday 1. Only testosterone showed a significant decrease between workdays 5 and 7. The concentrations of dehydroepiandrosterone and uric acid remained stable across all of the days, as did the melatonin concentrations between workdays 5 and 7. Conclusions Working of one's own freewill on an 84-hour regimen is not, in the short-term, necessarily more harmful for health than working on a 40-hour regimen with a similar type of heavy worktasks. However, working on an 84-hour schedule beyond the ordinary 40-hour week results in signs of a functional shift in hormonal regulation.
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