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Relationships of psychiatric disorders with sleep duration in an adult general population sample

Ulrich John*, Christian Meyer, Hans Jürgen Rumpf, Ulfert Hapke

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

The objective was to explore psychiatric disorders as potential predictors of sleep duration. A cross-sectional survey study with a probability sample of residents of a northern German area was carried out. There were 4075 study participants, aged 18-64 years, with a participation rate of 70.2%. Face-to-face in-home computer-aided interviews (Composite International Diagnostic Interview) provided diagnoses of nicotine and alcohol dependence, alcohol abuse, depressive, anxiety and somatoform disorders according to the Diagnostic and Statistical Manual of the American Psychiatric Association (DSM-IV), and included questions about sleep duration. Results show that subjects with a short sleep duration of 5 h or less had significantly increased odds ratios (OR) for current nicotine dependence (OR 1.9,; confidence interval, CI, 1.2-2.9), alcohol dependence (OR 2.6, CI 1.2-5.6), depressive disorder (OR 3.0, CI 1.7-5.4) or anxiety disorder (OR 2.1, CI 1.3-3.4) compared to individuals who never had the respective psychiatric disorder after adjustment for sex, age, and school education in a multinomial regression analysis. The conclusion is drawn that current nicotine or alcohol dependence, depressive, and anxiety disorders may add to short sleep duration in this random adult general population sample.

OriginalspracheEnglisch
ZeitschriftJournal of Psychiatric Research
Jahrgang39
Ausgabenummer6
Seiten (von - bis)577-583
Seitenumfang7
ISSN0022-3956
DOIs
PublikationsstatusVeröffentlicht - 11.2005

Fördermittel

Data described in this paper is part of the project “Transitions in Alcohol Consumption and Smoking (TACOS)” which has been funded by the German Federal Ministry of Education, Science, Research, and Technology (Grant No. 01 EB 9406). The study is part of the German research network “Analytical Epidemiology of Substance Abuse (ANEPSA)”.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

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