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Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey
BACKGROUND: Steady employment constitutes one of most important aspects of functional recovery in schizophrenia. Therefore, there is a need for understanding clinical and demographic factors predicting vocational status in schizophrenia. METHODS: Clinical and demographic data of 1,010 schizophrenia...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702210/ https://www.ncbi.nlm.nih.gov/pubmed/25838338 http://dx.doi.org/10.1177/0020764015577841 |
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author | Kiejna, Andrzej Piotrowski, Patryk Misiak, Błażej Adamowski, Tomasz Schubert, Agata Skrzekowska-Baran, Iwona Frydecka, Dorota |
author_facet | Kiejna, Andrzej Piotrowski, Patryk Misiak, Błażej Adamowski, Tomasz Schubert, Agata Skrzekowska-Baran, Iwona Frydecka, Dorota |
author_sort | Kiejna, Andrzej |
collection | PubMed |
description | BACKGROUND: Steady employment constitutes one of most important aspects of functional recovery in schizophrenia. Therefore, there is a need for understanding clinical and demographic factors predicting vocational status in schizophrenia. METHODS: Clinical and demographic data of 1,010 schizophrenia patients were gathered from public outpatient clinics. We compared patients who maintained employment between the diagnosis time point and the day of assessment, with the patients who were employed in the diagnosis time point but were unemployed on the day of assessment with respect to clinical and demographic variables. RESULTS: Lower educational attainment, lower-income region of residence, medical comorbidities (obesity, diabetes and hypertension), first hospitalization at inpatient unit in comparison with the day hospital, higher total number of hospitalizations and the number of inpatient hospitalizations were found to serve as predictors of unemployment throughout the course of schizophrenia. After application of Bonferroni correction and logistic binary regression analysis, lower educational attainment, higher number of inpatient hospitalizations and obesity predicted unemployment. CONCLUSION: Education, obesity and the number of inpatient hospitalizations seem to predict vocational outcome in schizophrenia. This study warrants further investigation of medical comorbidities in schizophrenia in terms of social consequences in order to indicate the direction of this relationship. |
format | Online Article Text |
id | pubmed-4702210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-47022102016-01-25 Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey Kiejna, Andrzej Piotrowski, Patryk Misiak, Błażej Adamowski, Tomasz Schubert, Agata Skrzekowska-Baran, Iwona Frydecka, Dorota Int J Soc Psychiatry Original Articles BACKGROUND: Steady employment constitutes one of most important aspects of functional recovery in schizophrenia. Therefore, there is a need for understanding clinical and demographic factors predicting vocational status in schizophrenia. METHODS: Clinical and demographic data of 1,010 schizophrenia patients were gathered from public outpatient clinics. We compared patients who maintained employment between the diagnosis time point and the day of assessment, with the patients who were employed in the diagnosis time point but were unemployed on the day of assessment with respect to clinical and demographic variables. RESULTS: Lower educational attainment, lower-income region of residence, medical comorbidities (obesity, diabetes and hypertension), first hospitalization at inpatient unit in comparison with the day hospital, higher total number of hospitalizations and the number of inpatient hospitalizations were found to serve as predictors of unemployment throughout the course of schizophrenia. After application of Bonferroni correction and logistic binary regression analysis, lower educational attainment, higher number of inpatient hospitalizations and obesity predicted unemployment. CONCLUSION: Education, obesity and the number of inpatient hospitalizations seem to predict vocational outcome in schizophrenia. This study warrants further investigation of medical comorbidities in schizophrenia in terms of social consequences in order to indicate the direction of this relationship. SAGE Publications 2015-12 /pmc/articles/PMC4702210/ /pubmed/25838338 http://dx.doi.org/10.1177/0020764015577841 Text en © The Author(s) 2015 http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm). |
spellingShingle | Original Articles Kiejna, Andrzej Piotrowski, Patryk Misiak, Błażej Adamowski, Tomasz Schubert, Agata Skrzekowska-Baran, Iwona Frydecka, Dorota Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title | Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title_full | Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title_fullStr | Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title_full_unstemmed | Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title_short | Predictors of vocational status in schizophrenia patients – Results from the Polish nationwide survey |
title_sort | predictors of vocational status in schizophrenia patients – results from the polish nationwide survey |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702210/ https://www.ncbi.nlm.nih.gov/pubmed/25838338 http://dx.doi.org/10.1177/0020764015577841 |
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