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How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis

Aims: The main aim of this longitudinal study was to test the Job Demand-Control-Support (JDCS) model and to analyze whether changes in psychosocial job characteristics are related to (changes in) burnout. Background: Previous studies on the effects of JDCS variables on burnout dimensions have indic...

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Autores principales: Pisanti, Renato, van der Doef, Margot, Maes, Stan, Meier, Laurenz Linus, Lazzari, David, Violani, Cristiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960268/
https://www.ncbi.nlm.nih.gov/pubmed/27507952
http://dx.doi.org/10.3389/fpsyg.2016.01082
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author Pisanti, Renato
van der Doef, Margot
Maes, Stan
Meier, Laurenz Linus
Lazzari, David
Violani, Cristiano
author_facet Pisanti, Renato
van der Doef, Margot
Maes, Stan
Meier, Laurenz Linus
Lazzari, David
Violani, Cristiano
author_sort Pisanti, Renato
collection PubMed
description Aims: The main aim of this longitudinal study was to test the Job Demand-Control-Support (JDCS) model and to analyze whether changes in psychosocial job characteristics are related to (changes in) burnout. Background: Previous studies on the effects of JDCS variables on burnout dimensions have indicated that the iso-strain hypothesis (i.e., high job demands, low control, and low support additively predict high stress reactions) and the buffer hypotheses (i.e., high job control and/or social support is expected to moderate the negative impact of high demands on stress reactions) have hardly been examined concurrently in a longitudinal design; and that the effects of changes of psychosocial job variables on burnout dimensions have hardly been analyzed. Design: This two wave study was carried out over a period of 14 months in a sample of 217 Italian nurses. Method: Hierarchical regression analyses were used to test the cross lagged main and interactive effects of JDCS variables, and to analyse the across-time effects of changes in JDCS dimensions on burnout variables. Results: The Time 1 job characteristics explained 2–8% of the variance in the Time 2 burnout dimensions, but no support for the additive, or the buffer hypothesis of the JDCS model was found. Changes in job characteristics explained an additional 3–20% of variance in the Time 2 burnout dimensions. Specifically, high levels of emotional exhaustion at Time 2 were explained by high levels of social support at Time 1, and unfavorable changes in demands, control, and support over time; high depersonalization at Time 2 was explained by high social support at time 1 and by an increase in demands over time; and high personal accomplishment at Time 2 was predicted by high demands, high control, interactive effect demands × control × social support, at Time 1, and by a decrease in demands over time. No reversed effects of burnout on work characteristics have been found. Conclusion: Our findings suggest that the work environment is subject to changes: the majority of employees experienced considerable changes in all job conditions over time. These changes impacted employee burnout. Limitations and implications of the study are discussed.
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spelling pubmed-49602682016-08-09 How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis Pisanti, Renato van der Doef, Margot Maes, Stan Meier, Laurenz Linus Lazzari, David Violani, Cristiano Front Psychol Psychology Aims: The main aim of this longitudinal study was to test the Job Demand-Control-Support (JDCS) model and to analyze whether changes in psychosocial job characteristics are related to (changes in) burnout. Background: Previous studies on the effects of JDCS variables on burnout dimensions have indicated that the iso-strain hypothesis (i.e., high job demands, low control, and low support additively predict high stress reactions) and the buffer hypotheses (i.e., high job control and/or social support is expected to moderate the negative impact of high demands on stress reactions) have hardly been examined concurrently in a longitudinal design; and that the effects of changes of psychosocial job variables on burnout dimensions have hardly been analyzed. Design: This two wave study was carried out over a period of 14 months in a sample of 217 Italian nurses. Method: Hierarchical regression analyses were used to test the cross lagged main and interactive effects of JDCS variables, and to analyse the across-time effects of changes in JDCS dimensions on burnout variables. Results: The Time 1 job characteristics explained 2–8% of the variance in the Time 2 burnout dimensions, but no support for the additive, or the buffer hypothesis of the JDCS model was found. Changes in job characteristics explained an additional 3–20% of variance in the Time 2 burnout dimensions. Specifically, high levels of emotional exhaustion at Time 2 were explained by high levels of social support at Time 1, and unfavorable changes in demands, control, and support over time; high depersonalization at Time 2 was explained by high social support at time 1 and by an increase in demands over time; and high personal accomplishment at Time 2 was predicted by high demands, high control, interactive effect demands × control × social support, at Time 1, and by a decrease in demands over time. No reversed effects of burnout on work characteristics have been found. Conclusion: Our findings suggest that the work environment is subject to changes: the majority of employees experienced considerable changes in all job conditions over time. These changes impacted employee burnout. Limitations and implications of the study are discussed. Frontiers Media S.A. 2016-07-26 /pmc/articles/PMC4960268/ /pubmed/27507952 http://dx.doi.org/10.3389/fpsyg.2016.01082 Text en Copyright © 2016 Pisanti, van der Doef, Maes, Meier, Lazzari and Violani. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Pisanti, Renato
van der Doef, Margot
Maes, Stan
Meier, Laurenz Linus
Lazzari, David
Violani, Cristiano
How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title_full How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title_fullStr How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title_full_unstemmed How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title_short How Changes in Psychosocial Job Characteristics Impact Burnout in Nurses: A Longitudinal Analysis
title_sort how changes in psychosocial job characteristics impact burnout in nurses: a longitudinal analysis
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960268/
https://www.ncbi.nlm.nih.gov/pubmed/27507952
http://dx.doi.org/10.3389/fpsyg.2016.01082
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