Elsevier

Psychoneuroendocrinology

Volume 63, January 2016, Pages 414-432
Psychoneuroendocrinology

Invited Review
Assessment of the cortisol awakening response: Expert consensus guidelines

https://doi.org/10.1016/j.psyneuen.2015.10.010Get rights and content

Highlights

  • Obtaining meaningful data of the CAR requires attention to methodological detail.

  • The ISPNE initiated an expert panel to establish quality standards of CAR assessment.

  • The results of this initiative are summarized.

  • Detailed methodological considerations are outlined and discussed.

  • Agreed consensus guidelines are presented.

Abstract

The cortisol awakening response (CAR), the marked increase in cortisol secretion over the first 30–45 min after morning awakening, has been related to a wide range of psychosocial, physical and mental health parameters, making it a key variable for psychoneuroendocrinological research. The CAR is typically assessed from self-collection of saliva samples within the domestic setting. While this confers ecological validity, it lacks direct researcher oversight which can be problematic as the validity of CAR measurement critically relies on participants closely following a timed sampling schedule, beginning with the moment of awakening. Researchers assessing the CAR thus need to take important steps to maximize and monitor saliva sampling accuracy as well as consider a range of other relevant methodological factors. To promote best practice of future research in this field, the International Society of Psychoneuroendocrinology initiated an expert panel charged with (i) summarizing relevant evidence and collective experience on methodological factors affecting CAR assessment and (ii) formulating clear consensus guidelines for future research. The present report summarizes the results of this undertaking. 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. Meeting these methodological standards in future research will create more powerful research designs, thus yielding more reliable and reproducible results and helping to further advance understanding in this evolving field of research.

Introduction

Abnormal secretion of the glucocorticoid hormone cortisol as the final product of the hypothalamus-pituitary-adrenal (HPA) axis is considered a crucial factor in linking the experience of chronic psychosocial stress to adverse effects on health (Chrousos, 2009). Besides reactivity to acute stressors, changes to the circadian regulation of cortisol secretion are considered important in this context (Kondratova and Kondratov, 2012, Menet and Rosbash, 2011, Nader et al., 2010). An aspect of cortisol regulation that is of special interest to psychoneuroendocrinological (PNE) inquiry is the cortisol awakening response (CAR), which describes the marked increase in cortisol levels across the first 30–45 min following morning awakening (Clow et al., 2004, Clow et al., 2010, Elder et al., 2014, Kudielka and Wüst, 2010). The CAR was first systematically described in the mid-1990s (Pruessner et al., 1997) and soon gained attention as a favorable biomarker in PNE research due to several methodological advantages over previously employed cortisol assessment strategies (see Section 2). These advantages together with evidence showing unique associations of the CAR with psychosocial, psychiatric and health-related parameters have resulted in a rapid increase in publications over the past 15 years (see Fig. 1a).

The CAR combines features of a reactivity index (response to awakening) with aspects tied to circadian regulation (occurring roughly at the same time every 24 h) making it a fascinating research topic. However, precisely these features also make accurate assessment of the CAR a challenging task. When relying on CAR data acquired by participants themselves (usually through saliva sampling), validity critically relies on participants closely following a timed sampling schedule, beginning with the moment of awakening. Inaccurate sample timing can occur easily and can substantially bias CAR estimates. Furthermore, a number of other methodological factors, such as accounting for covariates, the number and nature of study days and the timing of sampling, can markedly affect CAR data. While not all questions regarding the role and regulation of the CAR have been adequately solved until now, several careful investigations have examined the impact of methodological factors on accurate CAR assessment and have recommended strategies for dealing with them (described below). Unfortunately, such recommendations have not been widely implemented in published CAR research. Fig. 1b provides an overview of methodological characteristics of such studies, published between 2013 and 2014. It can be seen that the employed methodological standards varied widely between investigations, with a high number of studies falling short of previous recommendations for best practice in CAR research (e.g., objective control of sampling times: Broderick et al., 2004, Kudielka et al., 2003).

To address this, the International Society of Psychoneuroendocrinology (ISPNE) has initiated an expert panel to summarize relevant evidence and collective experience on methodological factors affecting CAR assessment. The goal of this initiative was to formulate clear consensus guidelines based on current knowledge for future studies in this evolving field of research. The present report summarizes the results of this undertaking. As a large proportion of CAR research uses salivary cortisol assessments in participants' domestic setting, a particular focus is put on methodological challenges in this research context. Given the importance of sample time accuracy, the first three sections are devoted to an in-depth discussion of this topic, including strategies to increase sampling accuracy by maximizing participant adherence. In the subsequent sections a range of further methodological factors are covered. In the final section, the derived consensus guidelines are outlined and explained.

Section snippets

Cortisol awakening response

The CAR is expressed as part of normal, healthy human circadian physiology. Deviations from a typical CAR pattern are assumed to mark maladaptive neuroendocrine processes. A general review of psychosocial, psychiatric and health-related correlates of the CAR is beyond the scope of this article (reviews: Chida and Steptoe, 2009, Clow et al., 2004, Fries et al., 2009, Kudielka and Wüst, 2010). However, as a prerequisite for interpreting such data, some distinct features of the CAR need to be

Inaccurate sampling: prevalence and impact

The validity of CAR data critically relies on the temporal accuracy of saliva sampling across the post-awakening period. A typical sampling schedule involves taking a first sample immediately after awakening followed by repeated assessments at specified times, e.g., at 10 or 15 min intervals over the subsequent 30–60 min. Fig. 3a illustrates an exemplary CAR sampling schedule. Failure to comply with such a schedule can occur in multiple ways. In the following, we distinguish between participants

Strategies for dealing with inaccurate sampling

The following sections describe available objective monitoring strategies for ambulatory CAR research, discuss ways for dealing with identified inaccurate data and look into potential strategies in lieu of objective measures.

Maximizing adherence

Irrespective of objective monitoring, it is expedient to work towards maximizing participant adherence. Such strategies are cost-efficient as they prevent data loss through the exclusion of inaccurately sampled data and increase data quality (i.e., fully adherent data are superior to statistically inferred/corrected data). Table 2 lists strategies for maximizing adherence in CAR research. Several of these strategies are derived from the authors' collective research experience, without formal

Dealing with covariates

Researchers have to deal with the fact that hormone secretion is related to a large number of state and trait factors (Schlotz, 2011). Depending on the research context, these covarying factors may be considered confounders, mediators, moderators or direct variables of interest (Adam and Kumari, 2009, Kudielka et al., 2012, Schlotz, 2011). If a covariate is not of main interest, the most critical question is whether it confounds observed associations (Schlotz, 2011). Confounding is given when a

Sampling times

Fig. 1b shows that the number of post-awakening samples has varied widely between CAR studies. While basic CAR research, which is usually conducted on smaller samples, has tended to employ protocols with 4–5 post-awakening samples (e.g., Edwards et al., 2001b, Pruessner et al., 1997, Wüst et al., 2000b), large-scale epidemiological research often only uses two sampling times (typically on awakening and 30–45 min post-awakening; Adam and Kumari, 2009). The choice about the number of sampling

Summary and guidelines

The present review shows that in order to derive meaningful data from CAR research, attention needs to be paid to methodological detail to prevent the danger of obtaining biased results. The variant methodological standards employed in past research (see Fig. 1b) are thus likely to have contributed to the inconsistency observed in this field. Hence, it is strongly recommended that researchers follow the guidelines described here for obtaining valid CAR data in future research.

Table 6 summarizes

Conflict of interest

The authors have no conflicts of interest to declare.

Consensus process and contributions

This ISPNE-initiated consensus manuscript summarizes the results of an extensive process of critical examination and revision by individual members of the expert panel. Tobias Stalder wrote the first draft of the main manuscript together with Angela Clow and Clemens Kirschbaum (core team). In addition, first drafts for individual sections were contributed by Phil Evans (Section 7.1 ‘sampling times’) and Robert Miller (Section 4.1.2 ‘dealing with verified non-adherent data’ and Section 7.4

Role of the funding source

None.

Acknowledgement

None.

References (146)

  • C. De Weerth et al.

    Cortisol awakening response in pregnant women

    Psychoneuroendocrinology

    (2005)
  • L.D. Doane et al.

    Loneliness and cortisol: momentary, day-to-day, and trait associations

    Psychoneuroendocrinology

    (2010)
  • L.D. Doane et al.

    Latent trait cortisol (LTC) levels: reliability, validity, and stability

    Psychoneuroendocrinology

    (2015)
  • S. Dockray et al.

    The cortisol awakening response in relation to objective and subjective measures of waking in the morning

    Psychoneuroendocrinology

    (2008)
  • S. Edwards et al.

    Exploration of the awakening cortisol response in relation to diurnal cortisol secretory activity

    Life Sci.

    (2001)
  • S. Edwards et al.

    Association between time of awakening and diurnal cortisol secretory activity

    Psychoneuroendocrinology

    (2001)
  • P.D. Evans et al.

    The diurnal cortisol cycle and cognitive performance in the healthy old

    Int. J. Psychophysiol.

    (2011)
  • P. Evans et al.

    The cortisol awakening response is related to executive function in older age

    Int. J. Psychophysiol.

    (2012)
  • I. Federenko et al.

    Free cortisol awakening responses are influenced by awakening time

    Psychoneuroendocrinology

    (2004)
  • C.E. Franz et al.

    Adult cognitive ability and socioeconomic status as mediators of the effects of childhood disadvantage on salivary cortisol in aging adults

    Psychoneuroendocrinology

    (2013)
  • E. Fries et al.

    The cortisol awakening response (CAR): facts and future directions

    Int. J. Psychophysiol.

    (2009)
  • J. Gaab et al.

    Reduced reactivity and enhanced negative feedback sensitivity of the hypothalamus-pituitary-adrenal axis in chronic whiplash-associated disorder

    Pain

    (2005)
  • W. Gao et al.

    Quantitative analysis of estradiol and six other steroid hormones in human saliva using a high throughput liquid chromatography-tandem mass spectrometry assay

    Talanta

    (2015)
  • G. Garcia-Banda et al.

    Neuroticism and cortisol: pinning down an expected effect

    Int. J. Psychophysiol.

    (2014)
  • S.H. Golden et al.

    Salivary cortisol protocol adherence and reliability by socio-demographic features: the multi-ethnic study of atherosclerosis

    Psychoneuroendocrinology

    (2014)
  • D.A. Granger et al.

    Blood contamination in children's saliva: prevalence, stability, and impact on the measurement of salivary cortisol, testosterone, and dehydroepiandrosterone

    Psychoneuroendocrinology

    (2007)
  • D.A. Granger et al.

    Medication effects on salivary cortisol: tactics and strategy to minimize impact in behavioral and developmental science

    Psychoneuroendocrinology

    (2009)
  • B. Griefahn et al.

    The normalization of the cortisol awakening response and of the cortisol shift profile across consecutive night shifts—an experimental study

    Psychoneuroendocrinology

    (2010)
  • B. Griefahn et al.

    Cortisol awakening response—are sampling delays of 15minutes acceptable?

    Int. J. Psychophysiol.

    (2011)
  • M. Gröschl et al.

    Stability of salivary steroids: the influences of storage, food and dental care

    Steroids

    (2001)
  • A. Hajat et al.

    Socioeconomic and race/ethnic differences in daily salivary cortisol profiles: the multi-ethnic study of atherosclerosis

    Psychoneuroendocrinology

    (2010)
  • A. Harris et al.

    Coffee, stress and cortisol in nursing staff

    Psychoneuroendocrinology

    (2007)
  • A. Harris et al.

    Cortisol, reaction time test and health among offshore shift workers

    Psychoneuroendocrinology

    (2010)
  • J. Hellhammer et al.

    Several daily measurements are necessary to reliably assess the cortisol rise after awakening: state- and trait components

    Psychoneuroendocrinology

    (2007)
  • D.H. Hellhammer et al.

    Salivary cortisol as a biomarker in stress research

    Psychoneuroendocrinology

    (2009)
  • D.J. Hruschka et al.

    Estimating between- and within-individual variation in cortisol levels using multilevel models

    Psychoneuroendocrinology

    (2005)
  • T.J. Huber et al.

    The cortisol awakening response is blunted in psychotherapy inpatients suffering from depression

    Psychoneuroendocrinology

    (2006)
  • F. Hucklebridge et al.

    The awakening cortisol response—no evidence for an influence of body posture

    Life Sci.

    (2002)
  • J.E. Khoury et al.

    Summary cortisol reactivity indicators: interrelations and meaning

    Neurobiol. Stress

    (2015)
  • C. Kirschbaum et al.

    Salivary cortisol in psychoneuroendocrine research: recent developments and applications

    Psychoneuroendocrinology

    (1994)
  • K.T. Kivlighan et al.

    Quantifying blood leakage into the oral mucosa and its effects on the measurement of cortisol, dehydroepiandrosterone, and testosterone in saliva

    Horm. Behav.

    (2004)
  • B.M. Kudielka et al.

    Circadian cortisol profiles and psychological self-reports in shift workers with and without recent change in the shift rotation system

    Biol. Psychol.

    (2007)
  • B.M. Kudielka et al.

    Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge

    Psychoneuroendocrinology

    (2009)
  • S.R. Kunz-Ebrecht et al.

    Differences in cortisol awakening response on work days and weekends in women and men from the Whitehall II cohort

    Psychoneuroendocrinology

    (2004)
  • S.R. Kunz-Ebrecht et al.

    Work stress, socioeconomic status and neuroendocrine activation over the working day

    Soc. Sci. Med.

    (2004)
  • N. Kupper et al.

    Familial influences on basal salivary cortisol in an adult population

    Psychoneuroendocrinology

    (2005)
  • N. Lasikiewicz et al.

    Exploration of basal diurnal salivary cortisol profiles in middle-aged adults: associations with sleep quality and metabolic parameters

    Psychoneuroendocrinology

    (2008)
  • U. Masharani et al.

    Impact of exogenous glucocorticoid use on salivary cortisol measurements among adults with asthma and rhinitis

    Psychoneuroendocrinology

    (2005)
  • J.S. Menet et al.

    When brain clocks lose track of time: cause or consequence of neuropsychiatric disorders

    Curr. Opin. Neurobiol.

    (2011)
  • R. Miller et al.

    Transformation techniques for cross-sectional and longitudinal endocrine data: application to salivary cortisol concentrations

    Psychoneuroendocrinology

    (2013)
  • Cited by (694)

    View all citing articles on Scopus
    View full text