Study of correlation between chronic stressor, biochemical markers and hematologic indices in Shahrekord Cohort Study: A population-based cross-sectional study

Diabetes Metab Syndr. 2019 May-Jun;13(3):2170-2174. doi: 10.1016/j.dsx.2019.05.006. Epub 2019 May 17.

Abstract

Aim: Stress is one of the most common and controllable risk factors for non-communicable diseases. The purpose of this study was to determine the relationship between stress and biochemical factors and hematologic indices.

Methods: The data to conduct this cross-sectional study were obtained from Shahrekord Cohort Study (SCS). The sample size included 1000 people who were randomly selected from 7000 people enrolled in the SCS conducted in 2017-2018. To measure stress as well as blood biochemical factors and hematologic indices, the Questionnaire of Stressful Life Events and Glucose and Lipid profile were used, respectively.

Results: Among stress dimensions, job security was significantly associated with most biochemical factors and hematologic indices. Linear regression model showed that there was a significant correlation between stress and blood urea, liver enzymes (ALT and AST), education, marital status, and occupation.

Conclusion: This study reported that the level of exposure to stressors was higher than that of other studies, and the results of this study are recommended to be used for screening and early detection of the consequences of exposure to chronic stressors, especially for the prevention of cardiovascular diseases.

Keywords: Biochemical markers; Chronic stressor; Hematologic indices; Population-based cohort study; Stress.

MeSH terms

  • Adult
  • Aged
  • Biomarkers / analysis*
  • Cardiovascular Diseases / epidemiology
  • Cardiovascular Diseases / prevention & control
  • Cohort Studies
  • Cross-Sectional Studies
  • Female
  • Follow-Up Studies
  • Hematologic Tests / methods*
  • Humans
  • Incidence
  • Iran / epidemiology
  • Male
  • Middle Aged
  • Noncommunicable Diseases / epidemiology*
  • Prognosis
  • Stress, Physiological*

Substances

  • Biomarkers