Bradley James Wright1. 1. School of Psychological Science, La Trobe University, Bundoora, Victoria, Australia. b.wright@latrobe.edu.au
Abstract
OBJECTIVE: This study attempted to determine the relationship of physiological indices of stress (ie, cortisol and salivary immunoglobulin A) to the job strain and the job demand-control-support models. METHODS: A sample of 98 direct-care disability workers completed the Maslach Burnout Inventory and the Job Content Questionnaire. In addition, participants' morning saliva samples were analyzed for cortisol and salivary immunoglobulin A concentration levels. RESULTS: The job strain and job demand-control-support models were tested using structural equation modeling. The job demand-control-support model successfully fitted with the data and was able to predict physiological outcomes, the job strain model did not. The salivary immunoglobulin A scores, in comparison to the cortisol data, were predicted more successfully by these models. CONCLUSIONS: Researchers are encouraged to study if different employee groups are at-risk for differing types of stress-related-illness, which may be triggered by occupation-specific stressors and/or physiological reactions.
OBJECTIVE: This study attempted to determine the relationship of physiological indices of stress (ie, cortisol and salivary immunoglobulin A) to the job strain and the job demand-control-support models. METHODS: A sample of 98 direct-care disability workers completed the Maslach Burnout Inventory and the Job Content Questionnaire. In addition, participants' morning saliva samples were analyzed for cortisol and salivary immunoglobulin A concentration levels. RESULTS: The job strain and job demand-control-support models were tested using structural equation modeling. The job demand-control-support model successfully fitted with the data and was able to predict physiological outcomes, the job strain model did not. The salivary immunoglobulin A scores, in comparison to the cortisol data, were predicted more successfully by these models. CONCLUSIONS: Researchers are encouraged to study if different employee groups are at-risk for differing types of stress-related-illness, which may be triggered by occupation-specific stressors and/or physiological reactions.
Authors: Kara E Rudolph; Brisa N Sánchez; Elizabeth A Stuart; Benjamin Greenberg; Kaori Fujishiro; Gary S Wand; Sandi Shrager; Teresa Seeman; Ana V Diez Roux; Sherita H Golden Journal: Am J Epidemiol Date: 2016-02-22 Impact factor: 4.897