Cardiovascular, neurophysiological, and biochemical stress indicators: A short review for information systems researchers

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

4 Citations (Scopus)

Abstract

We conducted a systematic review of the scientific literature on indicators for stress measurement. The full texts of 128 articles (published in the period 1970–2017) were analyzed and we identified a total of 21 different stress indicators, including cardiovascular, neurophysiological, and biochemical measures. Moreover, we analyzed the frequency of use of the indicators. Glucocorticoids including the hormone cortisol (52 out of 128 articles), heart rate (HR) and heart rate variability (HRV) (50/128), as well as diastolic blood pressure (DBP) and systolic blood pressure (SBP) (40/128), are the dominant stress indicators. Also, we found that half of the articles (64/128) report about at least two different stress indicators, thus a combination of biological measurement approaches is relatively common in stress research. This review holds value for researchers in the Information Systems (IS) discipline and related interdisciplinary research fields such as technostress.

Original languageEnglish
Title of host publicationLecture Notes in Information Systems and Organisation
PublisherSpringer Heidelberg
Pages259-273
Number of pages15
DOIs
Publication statusPublished - 2019
EventNeuroIS Retreat 2018 - Vienna, Austria
Duration: 19 Jun 201821 Jun 2018
http://www.neurois.org

Publication series

NameLecture Notes in Information Systems and Organisation
Volume29
ISSN (Print)2195-4968
ISSN (Electronic)2195-4976

Conference

ConferenceNeuroIS Retreat 2018
CountryAustria
CityVienna
Period19.06.201821.06.2018
Internet address

Keywords

  • Blood pressure
  • Heart rate
  • Hormones
  • Measurement
  • Stress
  • Technostress

Fingerprint Dive into the research topics of 'Cardiovascular, neurophysiological, and biochemical stress indicators: A short review for information systems researchers'. Together they form a unique fingerprint.

Cite this