The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Area Under the Curve and Other Summary Indicators of Repeated Waking Cortisol Measurements
Abstract
OBJECTIVE: To derive the area under the curve and related summary measures of stress from saliva samples collected over time and to provide insight into the interpretation of the derived parameters. In research designed to assess the health consequences of stress these samples are often used as a physiologic indicator of the responsiveness of the hypothalamic-pituitary-adrenal (HPA) axis. To make these repeated measurements of salivary cortisol more useful in defining the relationships between stress and health there is a need to derive two forms of area under the curve that summarize the measurements: area under the curve with respect to ground (AUC(G)) and area under the curve with respect to increase (AUC(I)). The latter parameters, AUC(I), however, is seldom used by research scientists. METHODS: In this study, interpretation and generic definition of the area under the curve was provided through graphical analyses and examination of its association with other summary measures using data from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) Pilot Study. In generic form, AUC(I) is derived as the area under the curve above the baseline value minus the area above the curve below the baseline value. RESULTS: The sign and magnitude of AUC(I) are related to the profile and the rate of change of the measurements over time. The parameter showed significant associations with other summary indicators that measure pattern or rate of change of the measurements over time. CONCLUSION: Principal components analyses revealed that summary parameters derived from repeated cortisol measurements can be grouped into two meaningful general categories: measures of the magnitude of response and measures of the pattern of response over time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Burnout, Perceived Stress, and Cortisol Responses to Awakening
Pruessner, J. C., Hellhammer, D. H., & Kirschbaum, C. (1999) · Psychosomatic Medicine · doi:10.1097/00006842-199903000-00012 · Cited by 822
Schmidt-Reinwald, A., Pruessner, J. C., Hellhammer, D. H., Federenko, I., Rohleder, N., Schürmeyer, T. H., & Kirschbaum, C. (1999) · Life Sciences · doi:10.1016/s0024-3205(99)00103-4 · Cited by 367
Circadian regulation of cortisol after hippocampal damage in humans
Buchanan, T. W., Kern, S., Allen, J. S., Tranel, D., & Kirschbaum, C. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.08.014 · Cited by 206
Cited by
Cortisol awakening response and psychosocial factors: a systematic review and meta-analysis
Chida, Y., & Steptoe, A. (2009) · Biological Psychology · doi:10.1016/j.biopsycho.2008.10.004 · Cited by 1,032
Assessment of the cortisol awakening response: Expert consensus guidelines
Stalder, T., Kirschbaum, C., Kudielka, B. M., Adam, E. K., Pruessner, J. C., Wüst, S., Dockray, S., Smyth, N., Evans, P., Hellhammer, D. H., et al. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.10.010 · Cited by 967
Major depressive disorder and hypothalamic-pituitary-adrenal axis activity
Vreeburg, S. A., Hoogendijk, W. J. G., van Pelt, J., DeRijk, R. H., Verhagen, J. C. M., van Dyck, R., Smit, J. H., Zitman, F. G., & Penninx, B. W. J. H. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.50 · Cited by 792
Mindfulness training affects attention—Or is it attentional effort?
Jensen, C. G., Vangkilde, S., Frokjaer, V., & Hasselbalch, S. G. (2012) · Journal of Experimental Psychology: General · doi:10.1037/a0024931 · Cited by 284
Interventions to Improve Cortisol Regulation in Children: A Systematic Review
Slopen, N., McLaughlin, K. A., & Shonkoff, J. P. (2014) · Pediatrics · doi:10.1542/peds.2013-1632 · Cited by 211
Vreeburg, S. A., Kruijtzer, B. P., van Pelt, J., van Dyck, R., DeRijk, R. H., Hoogendijk, W. J. G., Smit, J. H., Zitman, F. G., & Penninx, B. W. J. H. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.04.024 · Cited by 193
Kuehner, C., Huffziger, S., & Liebsch, K. (2009) · Psychological Medicine · doi:10.1017/s0033291708003553 · Cited by 154
Cortisol Response to Stress: The Role of Expectancy and Anticipatory Stress Regulation
Pulopulos, M. M., Baeken, C., & De Raedt, R. (2020) · Hormones and Behavior · doi:10.1016/j.yhbeh.2019.104587 · Cited by 142
Sun, P., Smith, A. S., Lei, K., Liu, Y., & Wang, Z. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.02.016 · Cited by 141
Longitudinal changes in cortisol secretion and conversion to psychosis in at-risk youth.
Walker, E. F., Brennan, P. A., Esterberg, M., Brasfield, J., Pearce, B., & Compton, M. T. (2010) · Journal of Abnormal Psychology · doi:10.1037/a0018399 · Cited by 127
Salivary cortisol levels and the 2-year course of depressive and anxiety disorders
Vreeburg, S. A., Hoogendijk, W. J. G., DeRijk, R. H., van Dyck, R., Smit, J. H., Zitman, F. G., & Penninx, B. W. J. H. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.12.017 · Cited by 121
Reductions in cortisol associated with primary care brief mindfulness program for veterans with PTSD
Bergen-Cico, D., Possemato, K., & Pigeon, W. (2014) · Medical Care · doi:10.1097/mlr.0000000000000224 · Cited by 84
Baeken, C., Vanderhasselt, M. A., Remue, J., Rossi, V., Schiettecatte, J., Anckaert, E., & De Raedt, R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.02.019 · Cited by 63
Identification of biopsychological trait markers in functional neurological disorders
Weber, S., Bühler, J., Vanini, G., Loukas, S., Bruckmaier, R., & Aybek, S. (2023) · Brain · doi:10.1093/brain/awac442 · Cited by 63
Circadian disruption and cancer- and treatment-related symptoms
Amidi, A., & Wu, L. M. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1009064 · Cited by 59
Salivary cortisol measurement in developmental research: where do we go from here?
Clements, A. D. (2013) · Developmental Psychobiology · doi:10.1002/dev.21025 · Cited by 57
Janssens, K. A. M., Oldehinkel, A. J., Verhulst, F. C., Hunfeld, J. A. M., Ormel, J., & Rosmalen, J. G. M. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.06.016 · Cited by 56
Salvat-Pujol, N., Labad, J., Urretavizcaya, M., de Arriba-Arnau, A., Segalàs, C., Real, E., Ferrer, A., Crespo, J. M., Jiménez-Murcia, S., Soriano-Mas, C., et al. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.11.007 · Cited by 47
Keskitalo, A., Aatsinki, A.-K., Kortesluoma, S., Pelto, J., Korhonen, L., Lahti, L., Lukkarinen, M., Munukka, E., Karlsson, H., & Karlsson, L. (2021) · Stress · doi:10.1080/10253890.2021.1895110 · Cited by 44
Monteleone, A. M., Monteleone, P., Volpe, U., De Riso, F., Fico, G., Giugliano, R., Nigro, M., & Maj, M. (2018) · Psychological Medicine · doi:10.1017/s0033291717002409 · Cited by 38
Hagan, M. J., Roubinov, D. S., Purdom Marreiro, C. L., & Luecken, L. J. (2014) · Developmental Psychobiology · doi:10.1002/dev.21157 · Cited by 34
Urech, C., Scherer, S., Emmenegger, M., Gaab, J., Tschudin, S., Hoesli, I., Berger, T., & Alder, J. (2017) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2017.10.014 · Cited by 29
Isaksson, J., Allen, M., Nilsson, K. W., & Lindblad, F. (2015) · Acta Paediatrica · doi:10.1111/apa.13056 · Cited by 20
Monteleone, A. M., Cascino, G., Marciello, F., D’Agostino, G., Caivano, V., Monteleone, P., & Maj, M. (2020) · Bipolar Disorders · doi:10.1111/bdi.12923 · Cited by 15
Biobehavioral measures as outcomes: A cautionary Tale
Kovach, C. R., Woods, D. L., Devine, E. C., Logan, B. R., & Raff, H. (2014) · Research in Gerontological Nursing · doi:10.3928/19404921-20131018-01 · Cited by 4
Metadata
- Authors
- Fekedulegn, D. B., Andrew, M. E., Burchfiel, C. M., Violanti, J. M., Hartley, T. A., Charles, L. E., & Miller, D. B.
- Venue
- Psychosomatic Medicine
- Published
- 2007-09
- Volume
- 69
- Issue
- 7
- Pages
- 651-659
- ISSN
- 0033-3174 (ISSN-L)
- OpenAlex
- W2011498445
- Cited by
- 474
- References
- 3
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
