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Tobacco dependence and schizophrenia: Tunisian cross-sectional study of 50 cases
Published online by Cambridge University Press: 01 September 2022
Abstract
Tobacco-use is currently one of the major public health problems and is more common among patients with schizophrenia.
We aimed in this study to estimate the prevalence of smoking in a population of patients with schizophrenia, to assess tobacco dependence and to identify its correlated factors.
This is a descriptive and analytical cross-sectional study carried out on 50 outpatients at the Department of Psychiatry (Tunisia) over a period of two months. For the data collection, we used: a general questionnaire on sociodemographic characteristics and tobacco consumption and the Fagerström test for nicotine dependence.
All the patients were male with a mean age of 32.7±7.02 years and 84% of them were tobacco consumers. More than half of the sample were single (68%) and had a primary school level (52%). A professional irregularity and low socio-economic level were found successively in 84% and 78% of cases. Half of the patients (52%) were diagnosed with paranoid schizophrenia and 46% of them were treated by atypical antipsychotics. Cigarette dependence was strong or very strong in 82% according to the Fagerstrom test. A positive correlation was found between strong tobacco dependence on the one hand and low socio-economic level, professional irregularity, smoking in a first-degree relative and treatment with a typical neuroleptic on the other hand.
Our study and data from the literature show that subjects with schizophrenia constitute a population of highly dependent smokers. A smoking cessation assistance program for this vulnerable population is a priority to improve their quality of life.
No significant relationships.
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- Information
- European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S831
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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