Sleep behavior of the Swiss population: Prevalence and the daytime consequences of insomnia
Autor: | Alexandra Delini-Stula, Roland Bischof, Edith Holsboer-Trachsler |
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Rok vydání: | 2007 |
Předmět: | |
Zdroj: | Somnologie - Schlafforschung und Schlafmedizin. 11:193-201 |
ISSN: | 1439-054X 1432-9123 |
Popis: | The aim of the survey study was to assess sleep behavior of the Swiss population in order to provide an estimate of the prevalence of insomnia and the need for specific programs to improve its diagnostics and treatment. A specifically constructed questionnaire (80 items) was addressed to a randomquotas sample of subjects (men and women 18–74 years old) from all Swiss regions by means of telephone interviews. By applying the DSM-IV criteria for insomnia the responses were classified and transformed into numerical values. This allowed the calculation of global insomnia score, descriptive analysis and classification of sleep disturbances in the sample. There were 1002 subjects in the sample (47.6% men and 57.4% women, mean age 39.5 ± 15.2) from 9 different professions. About 1/3rd (31.3%) of the population fulfilled the DSM-IV criteria of insomnia of different severity. Insomnia, age, profession, type of occupational activity and civil state were interdependent. High prevalence of insomnia was found in clerks/employees (> 30%), retired (> 45%) and widowed (> 65%).Moderate-severe forms of insomnia were the most frequent in unemployed or without profession subjects (38%). Daytime consequences of insomnia were manifold and affected 25–100% of the population. They included impairments of physical and mental health, with changes of mood (depression, loss of joy), affect (anxiety, tension, irritability) and cognitive functions (memory loss, concentration and attention deficits). Unsatisfactory quality of life (> 75%), sexual problems, impaired social life and reduced working capacity were common. The results of this survey show that insomnia in Switzerland is a medical and socio-economic problem that should not be underestimated. |
Databáze: | OpenAIRE |
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