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Predicting long-term sickness absence from sleep and fatigue

updated

Tags: random, sleep, etiology, pro

Two articles on PainSci cite Akerstedt 2007: (1) The Insomnia Guide(2) Insomnia Until it Hurts

PainSci summary of Akerstedt 2007: ?This page is one of thousands in the PainScience.com bibliography. It is not a general article: it is focused on a single scientific paper, and it may provide only just enough context for the summary to make sense. Links to other papers and more general information are provided at the bottom of the page, as often as possible.

This is a statistical analysis of insomnia’s relationship to absences from work caused by illness. They identified a clear connection and concluded that “disturbed sleep and fatigue are predictors of long-term absence [from work due to sickness] and it is suggested that impaired sleep may be part of a chain of causation, considering its effects on fatigue.”

~ Paul Ingraham

original abstract Abstracts here may not perfectly match originals, for a variety of technical and practical reasons. Some abstacts are truncated for my purposes here, if they are particularly long-winded and unhelpful. I occasionally add clarifying notes. And I make some minor corrections.

This is a statistical analysis of the relationship between insomnia, fatigue, and illness. 8300 people were studied in two consecutive years. The researchers compared reports of disturbed sleep and fatigue in the first year to data from the next year on absence from work due to serious illness. People with disturbed sleep initially were at least 25% more likely to miss a lot of work later on. They concluded that “disturbed sleep and fatigue are predictors of long-term absence [from work due to sickness] and it is suggested that impaired sleep may be part of a chain of causation, considering its effects on fatigue.”

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