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Numrering	Referens	Omslagsbild	Hitta
1.	Åkerstedt, Torbjörn, et al. (författare) Mental fatigue, work and sleep 2004 Ingår i: Journal of Psychosomatic Research. - Oxford : Pergamon Press. - 0022-3999 .- 1879-1360. ; 57:5, s. 427-433 Tidskriftsartikel (refereegranskat)abstract Objective: The study examined the multivariate relationship between mental fatigue and different work-related (work load, work hours) and background/life style factors, as well as disturbed sleep.Methods: A total of 5720 healthy employed men and women living in the greater Stockholm area participated in a questionnaire study on cardiovascular risk factors. The data were analysed using a multiple logistic regression analysis with self-rated fatigue as the dependent variable.Results: Fatigue was predicted by disturbed sleep (4.31; 3.50-5.45, high immersion in work (4.17; 2.93-5.94), high work demands (2.39; 1.54-3.69), social support, being a female, being a supervisor and high age. Shift work, work hours (including overtime) and influence at work did not become significant predictors. With control for work demands a high number of work hours was associated with lower fatigue.Conclusion: Disturbed sleep is an important predictor of fatigue, apparently stronger than previously well-established predictors such as work load, female gender, lack of exercise, etc. (C) 2004 Elsevier Inc. All rights reserved.

Åkerstedt, Torbjörn, et al. (författare)
Mental fatigue, work and sleep
2004
Ingår i: Journal of Psychosomatic Research. - Oxford : Pergamon Press. - 0022-3999 .- 1879-1360. ; 57:5, s. 427-433
Tidskriftsartikel (refereegranskat)abstract
- Objective: The study examined the multivariate relationship between mental fatigue and different work-related (work load, work hours) and background/life style factors, as well as disturbed sleep.Methods: A total of 5720 healthy employed men and women living in the greater Stockholm area participated in a questionnaire study on cardiovascular risk factors. The data were analysed using a multiple logistic regression analysis with self-rated fatigue as the dependent variable.Results: Fatigue was predicted by disturbed sleep (4.31; 3.50-5.45, high immersion in work (4.17; 2.93-5.94), high work demands (2.39; 1.54-3.69), social support, being a female, being a supervisor and high age. Shift work, work hours (including overtime) and influence at work did not become significant predictors. With control for work demands a high number of work hours was associated with lower fatigue.Conclusion: Disturbed sleep is an important predictor of fatigue, apparently stronger than previously well-established predictors such as work load, female gender, lack of exercise, etc. (C) 2004 Elsevier Inc. All rights reserved.

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