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The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020
INTRODUCTION: It is clear from the literature that depressive disorder is closely related to lifestyle, however the relationship between burnout and lifestyle remains unclear. OBJECTIVES: The aim of this study was to present a comprehensive overview of depressive symptoms, burnout and lifestyle over...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471495/ http://dx.doi.org/10.1192/j.eurpsy.2021.401 |
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author | Vňuková, M. Ptáček, R. |
author_facet | Vňuková, M. Ptáček, R. |
author_sort | Vňuková, M. |
collection | PubMed |
description | INTRODUCTION: It is clear from the literature that depressive disorder is closely related to lifestyle, however the relationship between burnout and lifestyle remains unclear. OBJECTIVES: The aim of this study was to present a comprehensive overview of depressive symptoms, burnout and lifestyle over the years. Furthermore, this study looks at the relationship between burnout, depressive symptomatology and lifestyle and seeks to clarify the extent to which burnout can be explained by these variables. METHODS: Data collection took place in three waves. The first data collection was in 2014 (October/November), the second in 2017 (March) and the third in 2020 (March). The STEM/MARK agency conducted the data collection and collected answers from a representative sample of respondents using the CAWI method - computer-assisted questioning. These respondents were selected from the European National Panel. Because the target group was adults (18-65 years), an online survey was chosen. Internet penetration in this target population is sufficient and it was not necessary to use a combination of methodologies. RESULTS: All 3 data collections identically show that for the model explaining burnout statistically significant variables are: age, depression and fatigue during the day. Other variables related to healthy lifestyles did not reach statistical significance. CONCLUSIONS: Even though the variables regarding healthy lifestyles have not reached statistical significance, their importance should not be underestimated. Mental well-being is closely linked to physical health and therefore a holistic approach to health should be emphasized and the rate of burnout should be regularly monitored. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9471495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94714952022-09-29 The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 Vňuková, M. Ptáček, R. Eur Psychiatry Abstract INTRODUCTION: It is clear from the literature that depressive disorder is closely related to lifestyle, however the relationship between burnout and lifestyle remains unclear. OBJECTIVES: The aim of this study was to present a comprehensive overview of depressive symptoms, burnout and lifestyle over the years. Furthermore, this study looks at the relationship between burnout, depressive symptomatology and lifestyle and seeks to clarify the extent to which burnout can be explained by these variables. METHODS: Data collection took place in three waves. The first data collection was in 2014 (October/November), the second in 2017 (March) and the third in 2020 (March). The STEM/MARK agency conducted the data collection and collected answers from a representative sample of respondents using the CAWI method - computer-assisted questioning. These respondents were selected from the European National Panel. Because the target group was adults (18-65 years), an online survey was chosen. Internet penetration in this target population is sufficient and it was not necessary to use a combination of methodologies. RESULTS: All 3 data collections identically show that for the model explaining burnout statistically significant variables are: age, depression and fatigue during the day. Other variables related to healthy lifestyles did not reach statistical significance. CONCLUSIONS: Even though the variables regarding healthy lifestyles have not reached statistical significance, their importance should not be underestimated. Mental well-being is closely linked to physical health and therefore a holistic approach to health should be emphasized and the rate of burnout should be regularly monitored. DISCLOSURE: No significant relationships. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471495/ http://dx.doi.org/10.1192/j.eurpsy.2021.401 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Abstract Vňuková, M. Ptáček, R. The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title | The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title_full | The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title_fullStr | The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title_full_unstemmed | The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title_short | The development of depressive symptomatology, burnout and lifestyle in the Czech population – in years 2014-2020 |
title_sort | development of depressive symptomatology, burnout and lifestyle in the czech population – in years 2014-2020 |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471495/ http://dx.doi.org/10.1192/j.eurpsy.2021.401 |
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