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Summary cortisol reactivity indicators: Interrelations and meaning.

Jennifer E Khoury1, Andrea Gonzalez2, Robert D Levitan3

  • 1Department of Psychology, Ryerson University, Canada.

Neurobiology of Stress
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PubMed
Summary
This summary is machine-generated.

Researchers found that numerous cortisol indices measuring the hypothalamic pituitary adrenal (HPA) axis are redundant. Two key components, total cortisol production and cortisol change, explain most of the variance, simplifying HPA axis research.

Keywords:
BiometricsCortisolPrincipal component analysis

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Area of Science:

  • Psychoneuroendocrinology
  • Stress Physiology
  • Behavioral Endocrinology

Background:

  • The hypothalamic pituitary adrenal (HPA) axis is crucial for stress response.
  • Numerous cortisol indices exist to measure HPA axis activity.
  • Understanding the interrelations and meaning of these indices is vital but often lacking.

Purpose of the Study:

  • To clarify the biometric properties and interrelations of 15 commonly used cortisol indices.
  • To determine the underlying dimensions represented by these diverse cortisol measures.
  • To assess the redundancy of existing cortisol indices in HPA axis research.

Main Methods:

  • Literature survey to identify 15 cortisol indices.
  • Cortisol sampling (pre- and post-challenge) from diverse samples (mothers/infants, depressed adults, older adults).
  • Principal component analysis (PCA) to determine underlying dimensions of cortisol indices.

Main Results:

  • PCA consistently extracted two primary components: 'total cortisol production' and 'change in cortisol levels'.
  • These two components explained a substantial variance (79%-93%) across different samples and challenges.
  • High congruence across samples and challenges suggests robust underlying dimensions.

Conclusions:

  • The abundance of summary cortisol indices in current literature appears superfluous.
  • Two core components adequately capture the variance in cortisol measures related to the HPA axis.
  • This finding can simplify future research on HPA axis function and stress response.