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Tae Won Chang 1 Article
The Relationship between Job Stress and hsCRP
Jong Heon Lee, Tae Won Chang, Young Jun Kwon, Yong Kyu Kim, Sang Chul Ryu, In Suk Kim
Korean Journal of Occupational and Environmental Medicine 2011;23(3):261-269.   Published online September 30, 2011
DOI: https://doi.org/10.35371/kjoem.2011.23.3.261
AbstractAbstract PDF
OBJECTIVES
We wanted to investigate the relationship between job stress and high-sensitivity C-reactive proteins (hsCRP) with a view to using them as a predictor of future cardiovascular events.
METHODS
The study subjects were 155 male bank workers. A structured, self-assesment questionnaire was used to analyze the sociodemographic characteristics and job stress of the participants. Seven levels of job stress, as described in the Korean Occupational Stress Scale-Short Form (KOSS-SF), were used to categorized the participants. We included tests for blood pressure, fasting blood sugar, blood lipid level (total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides), and hsCRP in our analysis. Multiple logistic regression modeling was used to determine an association between job stress and cardiovascular risk factors including hsCRP.
RESULTS
In the multiple logistic regression analyses adjusted for general and job characteristics and cardiovascular risk factors, interpersonal conflict (adjusted OR 1.69, 95% CI=1.11~2.57), job insecurity (adjusted OR 1.94, 95% CI=1.24~3.03) and, occupational climate (adjusted OR 1.89, 95% CI=1.19~3.01) were associated with hsCRP.
CONCLUSION
This study suggests that job stress is associated with hsCRP which is a predictor of future cardiovascular events.

Citations

Citations to this article as recorded by  
  • Association between shift work and inflammatory markers in workers at an electronics manufacturing company
    Sung-Joon Woo, Chang-Ho Chae, Jae-Won Lim
    Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
  • Association of arginase I or nitric oxide-related factors with job strain in healthy workers
    Keiki Ogino, Tatsuo Ito, Eri Eguchi, Kenjiro Nagaoka, Markus M. Bachschmid
    PLOS ONE.2017; 12(4): e0175696.     CrossRef
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