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Robert Miller

Researcher at Dresden University of Technology

Publications -  71
Citations -  4409

Robert Miller is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Cortisol secretion & Trier social stress test. The author has an hindex of 28, co-authored 71 publications receiving 3496 citations. Previous affiliations of Robert Miller include Karolinska Institutet & University of Göttingen.

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Assessment of the cortisol awakening response: Expert consensus guidelines.

TL;DR: Consensus guidelines are presented on central aspects of CAR assessment, including objective control of sampling accuracy/adherence, participant instructions, covariate accounting, sampling protocols, quantification strategies as well as reporting and interpreting of CAR data.
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Stress-related and basic determinants of hair cortisol in humans: A meta-analysis.

TL;DR: A first comprehensive meta-analysis of hair cortisol concentrations research based on aggregated data from a total of 124 (sub)samples reveals positive associations of HCC with stress-related anthropometric measures and hemodynamic measures (systolic blood pressure).
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Classification criteria for distinguishing cortisol responders from nonresponders to psychosocial stress: evaluation of salivary cortisol pulse detection in panel designs.

TL;DR: Alternative classification proxies (1.5 nmol/l or 15.5% increase) are able to effectively distinguish between cortisol responders and nonresponders and should be used in future research, whenever statistical response class allocation is not feasible.
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Intraindividual stability of hair cortisol concentrations

TL;DR: A considerable degree of intraindividual stability in hair cortisol levels is suggested which highlights the utility of this method for obtaining trait estimates of long-term cortisol secretion in psychoneuroendocrinological research.
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Cortisol in Hair and the Metabolic Syndrome

TL;DR: Normal physiological differences in long-term cortisol secretion, as assessed in hair, show relevant relationships with MetS and individual cardiometabolic parameters.