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International Archives of Occupational and Environmental Health

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01.02.2009 | Original Article

Emotional exhaustion and mental health problems among employees doing “people work”: the impact of job demands, job resources and family-to-work conflict

verfasst von: Geertje van Daalen, Tineke M. Willemsen, Karin Sanders, Marc J. P. M. van Veldhoven

Erschienen in: International Archives of Occupational and Environmental Health | Ausgabe 3/2009

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Abstract

Objective

This study investigates the relationship between four job characteristics and family-to-work conflict on emotional exhaustion and mental health problems.

Methods

Multiple regression analyses were performed using data from 1,008 mental health care employees. Separate regression analyses were computed for high and low patient interaction jobs.

Results

Different job characteristics as well as family-to-work conflict were associated with emotional exhaustion and mental health problems in each job type. The relationship between family-to-work conflict and emotional exhaustion was mitigated by social support from colleagues for those who worked in low patient interaction jobs.

Conclusion

In addition to general and specific stressors, it is worthwhile to include home-related stressors that interfere with the work domain in stress research.

For an overview of the differences in demographic characteristics of both job types see Table 1.

Detailed information about the norm scores can be obtained from the corresponding author.

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Titel: Emotional exhaustion and mental health problems among employees doing “people work”: the impact of job demands, job resources and family-to-work conflict
verfasst von: Geertje van Daalen
Tineke M. Willemsen
Karin Sanders
Marc J. P. M. van Veldhoven
Publikationsdatum: 01.02.2009
Verlag: Springer-Verlag
Erschienen in: International Archives of Occupational and Environmental Health / Ausgabe 3/2009
Print ISSN: 0340-0131
Elektronische ISSN: 1432-1246
DOI: https://doi.org/10.1007/s00420-008-0334-0

Springer Medizin

Abstract

Objective

Methods

Results

Conclusion

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