Publication

How to assess stress biomarkers for idiographic research?

van Ockenburg, S. L., Booij, S. H., Riese, H., Rosmalen, J. G. M. & Janssens, K. A. M., Dec-2015, In : Psychoneuroendocrinology. 62, p. 189-199 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

van Ockenburg, S. L., Booij, S. H., Riese, H., Rosmalen, J. G. M., & Janssens, K. A. M. (2015). How to assess stress biomarkers for idiographic research? Psychoneuroendocrinology, 62, 189-199. https://doi.org/10.1016/j.psyneuen.2015.08.002

Author

van Ockenburg, Sonja L. ; Booij, Sanne H. ; Riese, Harriette ; Rosmalen, Judith G. M. ; Janssens, Karin A. M. / How to assess stress biomarkers for idiographic research?. In: Psychoneuroendocrinology. 2015 ; Vol. 62. pp. 189-199.

Harvard

van Ockenburg, SL, Booij, SH, Riese, H, Rosmalen, JGM & Janssens, KAM 2015, 'How to assess stress biomarkers for idiographic research?', Psychoneuroendocrinology, vol. 62, pp. 189-199. https://doi.org/10.1016/j.psyneuen.2015.08.002

Standard

How to assess stress biomarkers for idiographic research? / van Ockenburg, Sonja L.; Booij, Sanne H.; Riese, Harriette; Rosmalen, Judith G. M.; Janssens, Karin A. M.

In: Psychoneuroendocrinology, Vol. 62, 12.2015, p. 189-199.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

van Ockenburg SL, Booij SH, Riese H, Rosmalen JGM, Janssens KAM. How to assess stress biomarkers for idiographic research? Psychoneuroendocrinology. 2015 Dec;62:189-199. https://doi.org/10.1016/j.psyneuen.2015.08.002


BibTeX

@article{66270066ff9a4cb0a430d7292c5d426a,
title = "How to assess stress biomarkers for idiographic research?",
abstract = "Associations between stress-related biomarkers, like cortisol or catecholamines, and somatic or psychological symptoms have often been examined at the group level. Studies using this nomothetic approach reported equivocal findings, which may be due to high levels of intra-individual variance of stress biomarkers. More importantly, analyses at the group level provide information about the average patient, but do not necessarily have meaning for individual patients. An alternative approach is to examine data at the level of individual patients in so-called idiographic research. This method allows identifying individuals in whom symptoms are explained by preceding alterations in specific stress biomarkers, based on time series of symptoms and stress biomarkers. To create time series of sufficient length for statistical analysis, many subsequent stress biomarker measurements are needed for each participant. In the current paper, different matrices (i.e. saliva, urine, nail and hair) are discussed in light of their applicability for idiographic research. This innovative approach might lead to promising new insights in the association between stress biomarkers and psychological or somatic symptoms. New collection tools for stress biomarkers, like the use of sweat pads, automated microdialysis systems, dried blood spots, or smartphone applications, might contribute to the feasibility and implementation of idiographic research in the future. (C) 2015 Elsevier Ltd. All rights reserved.",
keywords = "Idiographic, Cortisol, Catecholamines, Repeated measures, Time series, Hair, Nails, LONG-TERM STABILITY, HAIR CORTISOL CONCENTRATIONS, MAJOR DEPRESSIVE DISORDER, TANDEM MASS-SPECTROMETRY, HEART-RATE-VARIABILITY, URINARY FREE CORTISOL, SALIVARY CORTISOL, NEUROIMMUNE BIOMARKERS, AWAKENING RESPONSE, DAILY EVENTS",
author = "{van Ockenburg}, {Sonja L.} and Booij, {Sanne H.} and Harriette Riese and Rosmalen, {Judith G. M.} and Janssens, {Karin A. M.}",
note = "Copyright {\circledC} 2015 Elsevier Ltd. All rights reserved.",
year = "2015",
month = "12",
doi = "10.1016/j.psyneuen.2015.08.002",
language = "English",
volume = "62",
pages = "189--199",
journal = "Psychoneuroendocrinology",
issn = "0306-4530",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",

}

RIS

TY - JOUR

T1 - How to assess stress biomarkers for idiographic research?

AU - van Ockenburg, Sonja L.

AU - Booij, Sanne H.

AU - Riese, Harriette

AU - Rosmalen, Judith G. M.

AU - Janssens, Karin A. M.

N1 - Copyright © 2015 Elsevier Ltd. All rights reserved.

PY - 2015/12

Y1 - 2015/12

N2 - Associations between stress-related biomarkers, like cortisol or catecholamines, and somatic or psychological symptoms have often been examined at the group level. Studies using this nomothetic approach reported equivocal findings, which may be due to high levels of intra-individual variance of stress biomarkers. More importantly, analyses at the group level provide information about the average patient, but do not necessarily have meaning for individual patients. An alternative approach is to examine data at the level of individual patients in so-called idiographic research. This method allows identifying individuals in whom symptoms are explained by preceding alterations in specific stress biomarkers, based on time series of symptoms and stress biomarkers. To create time series of sufficient length for statistical analysis, many subsequent stress biomarker measurements are needed for each participant. In the current paper, different matrices (i.e. saliva, urine, nail and hair) are discussed in light of their applicability for idiographic research. This innovative approach might lead to promising new insights in the association between stress biomarkers and psychological or somatic symptoms. New collection tools for stress biomarkers, like the use of sweat pads, automated microdialysis systems, dried blood spots, or smartphone applications, might contribute to the feasibility and implementation of idiographic research in the future. (C) 2015 Elsevier Ltd. All rights reserved.

AB - Associations between stress-related biomarkers, like cortisol or catecholamines, and somatic or psychological symptoms have often been examined at the group level. Studies using this nomothetic approach reported equivocal findings, which may be due to high levels of intra-individual variance of stress biomarkers. More importantly, analyses at the group level provide information about the average patient, but do not necessarily have meaning for individual patients. An alternative approach is to examine data at the level of individual patients in so-called idiographic research. This method allows identifying individuals in whom symptoms are explained by preceding alterations in specific stress biomarkers, based on time series of symptoms and stress biomarkers. To create time series of sufficient length for statistical analysis, many subsequent stress biomarker measurements are needed for each participant. In the current paper, different matrices (i.e. saliva, urine, nail and hair) are discussed in light of their applicability for idiographic research. This innovative approach might lead to promising new insights in the association between stress biomarkers and psychological or somatic symptoms. New collection tools for stress biomarkers, like the use of sweat pads, automated microdialysis systems, dried blood spots, or smartphone applications, might contribute to the feasibility and implementation of idiographic research in the future. (C) 2015 Elsevier Ltd. All rights reserved.

KW - Idiographic

KW - Cortisol

KW - Catecholamines

KW - Repeated measures

KW - Time series

KW - Hair

KW - Nails

KW - LONG-TERM STABILITY

KW - HAIR CORTISOL CONCENTRATIONS

KW - MAJOR DEPRESSIVE DISORDER

KW - TANDEM MASS-SPECTROMETRY

KW - HEART-RATE-VARIABILITY

KW - URINARY FREE CORTISOL

KW - SALIVARY CORTISOL

KW - NEUROIMMUNE BIOMARKERS

KW - AWAKENING RESPONSE

KW - DAILY EVENTS

U2 - 10.1016/j.psyneuen.2015.08.002

DO - 10.1016/j.psyneuen.2015.08.002

M3 - Article

C2 - 26318629

VL - 62

SP - 189

EP - 199

JO - Psychoneuroendocrinology

JF - Psychoneuroendocrinology

SN - 0306-4530

ER -

ID: 25211403