Annals of Behavioral Medicine

, Volume 46, Issue 1, pp 121–126

Does Exposure to Stressors Predict Changes in Physiological Dysregulation?

  • Dana A. Glei
  • Noreen Goldman
  • Chih-Hsun Wu
  • Maxine Weinstein
Brief Report

DOI: 10.1007/s12160-013-9485-7

Cite this article as:
Glei, D.A., Goldman, N., Wu, CH. et al. ann. behav. med. (2013) 46: 121. doi:10.1007/s12160-013-9485-7

Abstract

Background

The allostatic load framework implies that cumulative exposure to stressors results in multi-system physiological dysregulation.

Purpose

The purpose of this study was to investigate the effect of stress burden on subsequent changes (2000–2006) in physiological dysregulation.

Methods

Data came from a population-based cohort study in Taiwan (n = 521, aged 54+ in 2000, re-examined in 2006). Measures of stressful events and chronic strain were based on questions asked in 1996, 1999, and 2000. A measure of trauma was based on exposure to the 1999 earthquake. Dysregulation was based on 17 biomarkers (e.g., metabolic, inflammatory, neuroendocrine).

Results

There were some small effects among men: chronic strain was associated with subsequent increases in dysregulation (standardized β = 0.08, 95 % CI = 0.01 to 0.20), particularly inflammation; life events were also associated with increased inflammation (β = 0.10, CI = 0.01 to 0.26). There were no significant effects in women.

Conclusions

We found weak evidence that stress burden is associated with changes in dysregulation.

Keywords

StressorsPsychological stressLife challengesAllostatic loadPhysiological dysregulationBiological markers

Supplementary material

12160_2013_9485_MOESM1_ESM.doc (294 kb)
ESM 1(DOC 294 kb)

Copyright information

© The Society of Behavioral Medicine 2013

Authors and Affiliations

  • Dana A. Glei
    • 1
    • 4
  • Noreen Goldman
    • 2
  • Chih-Hsun Wu
    • 3
  • Maxine Weinstein
    • 1
  1. 1.Center for Population and HealthGeorgetown UniversityWashingtonUSA
  2. 2.Office of Population ResearchPrinceton UniversityPrincetonUSA
  3. 3.Population and Health Research Center, Bureau of Health PromotionDepartment of HealthTaipeiRepublic of China
  4. 4.Santa RosaUSA