Overcommitment to work is associated with vital exhaustion.
OBJECTIVE
Vital exhaustion has been shown to predict the progression and manifestation of cardiovascular disease. Little is known about the relationship between vital exhaustion and overcommitment, the inability to withdraw from obligations at work. The aim of this study was to explore the relationship between vital exhaustion and overcommitment at work, as measured by the intrinsic-effort scale of the effort-reward model after consideration of other potentially salutogenetic and pathogenetic working conditions.


METHODS
This cross-sectional study is based on a stratified random sample of 634 employees (mean age 39.9 years, standard deviation 10.7 years) from a manufacturing and assembly plant for aeroplane parts. Participants completed a questionnaire, which included the nine-item shortened Maastricht exhaustion questionnaire to score the dependent variable exhaustion, and the six-item short form of the intrinsic-effort scale ("immersion") of the effort-reward-imbalance model as the primary independent variable. Perceived work stress was assessed by Siegrist's effort-reward-imbalance questionnaire and the 52-item, 13 subscale salutogenetic subjective work assessment (SALSA) questionnaire, which focuses on indicators of perceived work stress in terms of pathogenetic and salutogenetic descriptors of decision latitude, psychological job demands, and social support. Additional candidate covariates included depression, anxiety and type-D personality.


RESULTS
In regression analysis, overcommitment (r=0.516; P<0.0001) was independently associated with vital exhaustion. Multivariable linear regression analysis showed that overcommitment explained 27% of the variance of vital exhaustion.


CONCLUSIONS
Overcommitment, indicating an exhaustive work-related coping style, is independently associated with vital exhaustion. It appears to be an important personality trait that may contribute to feelings of exhaustion at times of increased job strain.
Preckel
Daniel
D
Swiss Federal Institute of Technology (ETH), Institute for Behavioral Sciences, Turnerstrasse 1, 8092 Zurich, Switzerland.
von Känel
Roland
R
Kudielka
Brigitte M
BM
Fischer
Joachim E
JE
D000328:Adult; D000401:Aircraft; D002318:Cardiovascular Diseases / Q000209:etiology; D003430:Cross-Sectional Studies; D003863:Depression / Q000523:psychology; D005221:Fatigue / Q000209:etiology* / Q000523:psychology*; D005260:Female; D006801:Humans; D007221:Industry; D008297:Male; D008875:Middle Aged; D010551:Personality; D010558:Personnel Loyalty; D012044:Regression Analysis; D013315:Stress, Psychological / Q000209:etiology* / Q000523:psychology*; D011795:Surveys and Questionnaires; D017132:Workplace / Q000523:psychology*
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