Saf Health Work.  2015 Dec;6(4):338-344. 10.1016/j.shaw.2015.08.003.

Korean Emotional Laborers' Job Stressors and Relievers: Focus on Work Conditions and Emotional Labor Properties

Affiliations
  • 1Department of Sociology, Yonsei University, Yonsei-ro, Seodaemun-gu, Seoul, Korea. garamish@gmail.com

Abstract

BACKGROUND
The present study aims to investigate job stressors and stress relievers for Korean emotional laborers, specifically focusing on the effects of work conditions and emotional labor properties. Emotional laborers are asked to hide or distort their real emotions in their interaction with clients. They are exposed to high levels of stress in the emotional labor process, which leads to serious mental health risks including burnout, depression, and even suicide impulse. Exploring job stressors and relieving factors would be the first step in seeking alternatives to protect emotional laborers from those mental health risks.
METHODS
Using the third wave data of Korean Working Conditions Survey, logistic regression analysis was conducted for two purposes: to examine the relations of emotional labor and stress, and to find out job stressors and relievers for emotional laborers.
RESULTS
The chances of stress arousal are 3.5 times higher for emotional laborers; emotional laborers experience double risk-burden for stress arousal. In addition to general job stressors, emotional laborers need to bear burdens related to emotional labor properties. The effect of social support at the workplace is not significant for stress relief, unlike common assumptions, whereas subjective satisfaction (wage satisfaction and work-life balance) is proven to have relieving effects on emotional laborers' job stress.
CONCLUSION
From the results, the importance of a balanced understanding of emotional labor for establishing effective policies for emotional laborer protection is stressed.

Keyword

emotional labor; job stress; Korean Working Conditions Survey; logistic regression analysis; work conditions

MeSH Terms

Arousal
Depression
Logistic Models
Mental Health
Suicide
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