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Heart rate variability during sedentary work and sleep in normal and sleep-deprived states
Umeå University, Faculty of Medicine, Public Health and Clinical Medicine.
Umeå University, Faculty of Medicine, Radiation Sciences.
2005 (English)In: Clinical Physiology and Functional Imaging, ISSN 1475-0961, Vol. 25, no 1, 51-57 p.Article in journal (Refereed) Published
Abstract [en]

The possibility of using heart rate variability (HRV) as an indicator of sleepiness was investigated by analysing heart rate (HR) activity and electroencephalography (EEG) recordings from 10 individuals who performed a monotonous attention task for 120 min in both sleep-deprived and rested states. In both conditions, measurements were collected during 60 min of sleep immediately following a 120 min of non-sleep (awake phase). Although HR decreased significantly in both the rested and the sleep-deprived states during the awake phase, HR significantly changed sooner when subjects were sleep-deprived than when they were rested. No significant changes in HRV were found during the awake phase; however, HRV correlated significantly with alpha and theta power densities when rested but not when sleep-deprived. During the sleep phase, the total HRV and very low and low frequency HRV components significantly decreased approximately 40 min after sleeping in the sleep-deprived condition. These HRV components were also significantly and negatively correlated with delta power densities. HRV does not seem to be a viable indicator of sleepiness; however, HRV may be useful for determining sleep stages.

Place, publisher, year, edition, pages
2005. Vol. 25, no 1, 51-57 p.
Keyword [en]
Driving, drowsiness, indicator, sleep, sleepiness
URN: urn:nbn:se:umu:diva-14218DOI: 10.1111/j.1475-097X.2004.00589.xPubMedID: 15659081OAI: diva2:153889
Available from: 2007-02-27 Created: 2007-02-27 Last updated: 2009-10-30Bibliographically approved
In thesis
1. Indicators and predictors of sleepiness
Open this publication in new window or tab >>Indicators and predictors of sleepiness
2006 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sleep is a basic need as important as physical fitness and good nutrition. Without enough sleep, we will create a sleep debt and experience sleepiness. Sleepiness can be defined as the inability to stay awake, a condition that has become a health problem in our 24-hour-7-day-a-week society. Estimates suggest that up to one-third of the population suffers from excessive sleepiness. Among other interactions, sleepiness affects our performance, increasing the risk of being involved in accidents. A considerable portion of work related accidents and injuries are related to sleepiness resulting in large costs for the individuals and society. Professional drivers are one example of workers who are at risk of sleepiness related accidents. Up to 40% of heavy truck accidents could be related to sleepiness. A better knowledge about reliable indicators and predictors of sleepiness is important in preventing sleepiness related accidents.

This thesis investigates both objective and subjective indicators of sleepiness, how these relate to each other, and how their pattern changes over time. The indicators investigated were electroencephalography, heart rate variability, simple reaction time, head movement, and subjective ratings of sleepiness (Study I-IV). In Study V, a questionnaire study was conducted with professional drivers in northern Sweden. This study mainly deals with predictors of sleepiness.

When subjects were sleep deprived both objective and subjective ratings indicated a rapid increase in sleepiness during the first hour of the test followed by a levelling off. This change in pattern was evident for all the indicators except heart rate and heart rate variability. On the other hand, HRV was correlated with the increase of EEG parameters during the post-test sleep period. The changes in pattern of the indicators included in the thesis are analysed in the perspective of temporal patterns and relationships. Of the tested indicators, a subjective rating of sleepiness with CR-10 was considered to be the most reliable indicator of sleepiness.

Of the investigated predictors of sleepiness, prior sleep habits were found to be strongly associated to sleepiness and the sleepiness related symptoms while driving. The influences of driving conditions and individual characteristics on sleepiness while driving were lower.

A multidisciplinary approach when investigating and implementing indicators and predictors of sleepiness is important. In addition to their actual relations to the development of sleepiness, factors such as technical and practical limitations, work, and individual and situational needs must be taken into account.

Place, publisher, year, edition, pages
Umeå: Folkhälsa och klinisk medicin, 2006. 85 p.
Umeå University medical dissertations, ISSN 0346-6612 ; 1003
Public health, Sleep Scale (KSS), Category-Ratio Scale (CR-10), sleepiness, sleep, driving, indicator, sleep debt, heart rate variability, electroencephalography (EEG), head movements, performance, truck drivers, sleep habits, predictor, Folkhälsomedicin
National Category
Public Health, Global Health, Social Medicine and Epidemiology
urn:nbn:se:umu:diva-708 (URN)91-7264-017-0 (ISBN)
Public defence
2006-03-17, Stora föreläsningsalen, Arbetslivsinstitutet, petrus laestadiusvägen, Umeå, 09:00 (English)
Available from: 2006-02-24 Created: 2006-02-24 Last updated: 2009-10-30Bibliographically approved

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