Self-rated general health and psychiatric disorders in a general population sample

Ulrich John; Christian Meyer; Hans Jürgen Rumpf; Anja Schumann; Horst Dilling; Ulfert Hapke

doi:10.1016/j.eurpsy.2004.09.026

Self-rated general health and psychiatric disorders in a general population sample

Ulrich John^*, Christian Meyer, Hans Jürgen Rumpf, Anja Schumann, Horst Dilling, Ulfert Hapke

^*Corresponding author for this work

Clinic of Psychiatry and Psychotherapy

University of Greifswald

5 Citations (Scopus)

Abstract

The purpose of this study was to explore the relationships between nicotine and alcohol dependence, depressive, anxiety and somatoform disorders with self-rated general health (GH). A cohort study of a random sample of the non-institutionalised general population aged 18-64 with a participation rate of 70.2% was carried out in a German area (n = 4075 at baseline). A follow-up of tobacco smokers or heavy drinkers (n = 1083, 79.4% of those who had given consent to be followed-up) was conducted 30 months after baseline measurement. The assessments included self-ratings of GH and Diagnostic and Statistical Manual (DSM-IV) diagnoses based on the Composite International Diagnostic Interview. The results show that nicotine dependence, anxiety disorders and somatoform disorders moderately predicted self-rated GH at follow-up (general linear model, R² = 0.12). We conclude that psychiatric disorders may contribute to the prediction of a low self-rated GH.

Original language	English
Journal	European Psychiatry
Volume	20
Issue number	3
Pages (from-to)	223-228
Number of pages	6
ISSN	0924-9338
DOIs	https://doi.org/10.1016/j.eurpsy.2004.09.026
Publication status	Published - 05.2005

Funding

Data described in this paper is part of the project 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)”.

Research Areas and Centers

Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.eurpsy.2004.09.026

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title = "Self-rated general health and psychiatric disorders in a general population sample",

abstract = "The purpose of this study was to explore the relationships between nicotine and alcohol dependence, depressive, anxiety and somatoform disorders with self-rated general health (GH). A cohort study of a random sample of the non-institutionalised general population aged 18-64 with a participation rate of 70.2\% was carried out in a German area (n = 4075 at baseline). A follow-up of tobacco smokers or heavy drinkers (n = 1083, 79.4\% of those who had given consent to be followed-up) was conducted 30 months after baseline measurement. The assessments included self-ratings of GH and Diagnostic and Statistical Manual (DSM-IV) diagnoses based on the Composite International Diagnostic Interview. The results show that nicotine dependence, anxiety disorders and somatoform disorders moderately predicted self-rated GH at follow-up (general linear model, R2 = 0.12). We conclude that psychiatric disorders may contribute to the prediction of a low self-rated GH.",

author = "Ulrich John and Christian Meyer and Rumpf, \{Hans J{\"u}rgen\} and Anja Schumann and Horst Dilling and Ulfert Hapke",

note = "Funding Information: Data described in this paper is part of the project 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)”. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.",

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AU - John, Ulrich

AU - Meyer, Christian

AU - Rumpf, Hans Jürgen

AU - Schumann, Anja

AU - Dilling, Horst

AU - Hapke, Ulfert

N1 - Funding Information: Data described in this paper is part of the project 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)”. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.

PY - 2005/5

Y1 - 2005/5

N2 - The purpose of this study was to explore the relationships between nicotine and alcohol dependence, depressive, anxiety and somatoform disorders with self-rated general health (GH). A cohort study of a random sample of the non-institutionalised general population aged 18-64 with a participation rate of 70.2% was carried out in a German area (n = 4075 at baseline). A follow-up of tobacco smokers or heavy drinkers (n = 1083, 79.4% of those who had given consent to be followed-up) was conducted 30 months after baseline measurement. The assessments included self-ratings of GH and Diagnostic and Statistical Manual (DSM-IV) diagnoses based on the Composite International Diagnostic Interview. The results show that nicotine dependence, anxiety disorders and somatoform disorders moderately predicted self-rated GH at follow-up (general linear model, R2 = 0.12). We conclude that psychiatric disorders may contribute to the prediction of a low self-rated GH.

AB - The purpose of this study was to explore the relationships between nicotine and alcohol dependence, depressive, anxiety and somatoform disorders with self-rated general health (GH). A cohort study of a random sample of the non-institutionalised general population aged 18-64 with a participation rate of 70.2% was carried out in a German area (n = 4075 at baseline). A follow-up of tobacco smokers or heavy drinkers (n = 1083, 79.4% of those who had given consent to be followed-up) was conducted 30 months after baseline measurement. The assessments included self-ratings of GH and Diagnostic and Statistical Manual (DSM-IV) diagnoses based on the Composite International Diagnostic Interview. The results show that nicotine dependence, anxiety disorders and somatoform disorders moderately predicted self-rated GH at follow-up (general linear model, R2 = 0.12). We conclude that psychiatric disorders may contribute to the prediction of a low self-rated GH.

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Self-rated general health and psychiatric disorders in a general population sample

Abstract

Funding

Research Areas and Centers

UN SDGs

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