Workplace violence and development of burnout symptoms: a prospective cohort study on 1823 social educators View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-25

AUTHORS

Jesper Pihl-Thingvad, Ask Elklit, Lars Peter Andreas Brandt, Lars Louis Andersen

ABSTRACT

PURPOSE: Burnout and workplace violence (WPV) have been associated in cross-sectional studies, but longitudinal studies with solid methods and adequate sample sizes are lacking. This study investigates whether WPV increases burnout symptoms during a 12-month period. METHODS: Questionnaire data were collected on 1823 social educators at baseline and 12-month follow-up, coupled with additionally 12 monthly text-message surveys on exposure to WPV. Using general linear modelling for repeated measures, we estimated change over time in burnout symptoms in three WPV exposure groups (none, low, high). RESULTS: A time by exposure to WPV interaction existed for development of burnout; F(2) = 7.2, p = 0.001 η2 = 0.011. Burnout increased significantly within the group of low exposure; F(1) = 6.8, p = 0.01 and high exposure; F(1) = 6.7 p = 0.001, but not within the non-exposed F(1) = 2.1 p = 0.15. At follow-up, both the low exposed and high exposed had significantly higher levels of burnout compared to the non-exposed. CONCLUSION: Exposure to WPV increases level of burnout within a 12-month period. We propose that assessment of burnout in future studies should utilize instruments capable of detecting small changes. We further propose that prevention against employee burnout could be improved using monitoring targeted at employees exposed to WPV. More... »

PAGES

1-11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00420-019-01424-5

DOI

http://dx.doi.org/10.1007/s00420-019-01424-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112969150

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30906955


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    "description": "PURPOSE: Burnout and workplace violence (WPV) have been associated in cross-sectional studies, but longitudinal studies with solid methods and adequate sample sizes are lacking. This study investigates whether WPV increases burnout symptoms during a 12-month period.\nMETHODS: Questionnaire data were collected on 1823 social educators at baseline and 12-month follow-up, coupled with additionally 12\u00a0monthly text-message surveys on exposure to WPV. Using general linear modelling for repeated measures, we estimated change over time in burnout symptoms in three WPV exposure groups (none, low, high).\nRESULTS: A time by exposure to WPV interaction existed for development of burnout; F(2)\u2009=\u20097.2, p\u2009=\u20090.001 \u03b72\u2009=\u20090.011. Burnout increased significantly within the group of low exposure; F(1)\u2009=\u20096.8, p\u2009=\u20090.01 and high exposure; F(1)\u2009=\u20096.7 p\u2009=\u20090.001, but not within the non-exposed F(1)\u2009=\u20092.1 p\u2009=\u20090.15. At follow-up, both the low exposed and high exposed had significantly higher levels of burnout compared to the non-exposed.\nCONCLUSION: Exposure to WPV increases level of burnout within a 12-month period. We propose that assessment of burnout in future studies should utilize instruments capable of detecting small changes. We further propose that prevention against employee burnout could be improved using monitoring targeted at employees exposed to WPV.", 
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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00420-019-01424-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00420-019-01424-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00420-019-01424-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00420-019-01424-5'


 

This table displays all metadata directly associated to this object as RDF triples.

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