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Reliability of diurnal salivary cortisol metrics: A meta-analysis and investigation in two independent samples

Stress-induced dysregulation of diurnal cortisol is a cornerstone of stress-disease theories; however, observed associations between cortisol, stress, and health have been inconsistent. The reliability of diurnal cortisol features may contribute to these equivocal findings. Our meta-analysis (5 diur...

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Detalles Bibliográficos
Autores principales: Norton, Sara A., Baranger, David AA., Young, Ethan S., Voss, Michaela, Hansen, Isabella, Bondy, Erin, Rodrigues, Merlyn, Paul, Sarah E., Edershile, Elizabeth, Hill, Patrick L., Oltmanns, Thomas F., Simpson, Jeffry, Bogdan, Ryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458689/
https://www.ncbi.nlm.nih.gov/pubmed/37635863
http://dx.doi.org/10.1016/j.cpnec.2023.100191
Descripción
Sumario:Stress-induced dysregulation of diurnal cortisol is a cornerstone of stress-disease theories; however, observed associations between cortisol, stress, and health have been inconsistent. The reliability of diurnal cortisol features may contribute to these equivocal findings. Our meta-analysis (5 diurnal features from 11 studies; total participant n = 3307) and investigation (15 diurnal cortisol features) in 2 independent studies (St. Louis Personality and Aging Network [SPAN] Study, n = 147, ages 61–73; Minnesota Longitudinal Study of Risk and Adaptation [MLSRA] Study, n = 90, age 37) revealed large variability in the day-to-day test-retest reliability of diurnal features derived from salivary cortisol data (i.e., ICC = 0.00–0.75). Collectively, these data indicate that some commonly used diurnal cortisol features have poor reliability that is insufficient for individual differences research (e.g., cortisol awakening response) while others (e.g., area under the curve with respect to ground) have fair-to-good reliability that could support reliable identification of associations in well-powered studies.