Cited by 99Stress Responses and CortisolAdrenal Hormones and DisordersAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 251 of the 252 references it cites were found in a registry or an index; none of the 51 sources its claims cite is checked for support yet.

Psychosocial functioning and the cortisol awakening response: Meta-analysis, P-curve analysis, and evaluation of the evidential value in existing studies

Open access

Abstract

Cortisol levels rise immediately after awakening and peak approximately 30-45 minutes thereafter. Psychosocial functioning influences this cortisol awakening response (CAR), but there is considerable heterogeneity in the literature. The current study used p-curve and metaanalysis on 709 findings from 212 studies to test the evidential value and estimate effect sizes of four sets of findings: those associating worse psychosocial functioning with higher or lower cortisol increase relative to the waking period (CARi) and to the output of the waking period (AUCw). All four sets of findings demonstrated evidential value. Psychosocial predictors explained 1%-3.6% of variance in CARi and AUCw responses. Based on these effect sizes, cross-sectional studies assessing CAR would need a minimum sample size of 617-783 to detect true effects with 80% power. Depression was linked to higher AUCw and posttraumatic stress to lower AUCw, whereas inconclusive results were obtained for predictor-specific effects on CARi. Suggestions for future CAR research are discussed.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study combined p-curve and meta-analysis on 709 findings from 212 studies and found evidential value for all four sets of associations between worse psychosocial functioning and higher/lower CARi and AUCw. Effects were small, explaining about 1%–3.6% of variance, with depression linked to higher AUCw and posttraumatic stress to lower AUCw.

Key findings

  • All four sets of findings showed evidential value: worse psychosocial functioning with higher CARi (k = 37, p = .001), lower CARi (k = 42, p < .001), higher AUCw (k = 19, p = .008), and lower AUCw (k = 19, p = .006).
  • Effect sizes were small: p-curve-derived estimates were r = .08 for higher CARi, r = .09 for lower CARi, r = .09 for higher AUCw, and r = .19 for lower AUCw; meta-analytic estimates were r = .09, r = .12, r = .08, and r = .10, respectively. Psychosocial predictors explained approximately 1% of variance in CARi and up to 3.6% in lower AUCw.
  • Predictor-specific results: depression was linked to higher AUCw (r = .07, p < .001), posttraumatic stress to lower AUCw (r = .08, p = .03), and fatigue/burnout/exhaustion was most strongly associated with lower CARi (r = .09, p = .003, with trend-level publication bias p = .07). Other predictor-specific effects were nonsignificant, but p-curves could not rule out evidential value.
  • Power analysis indicated cross-sectional studies would need a minimum sample size of 617–783 to detect true effects with 80% power; approximately 11% of studies had at least this sample size, 58% had N < 100, and 28% had N < 50.

Methods

  • The study updated Chida and Steptoe (2009), searching Medline, PsycINFO, Pubmed, and Web of Science for “cortisol,” “awakening,” and “response”; inclusion required English, peer-reviewed articles with at least one psychosocial functioning measure and one CAR measure, excluding medical conditions and biological predictors. The final sample combined 159 new articles with 54 prior articles, yielding 709 findings from 212 articles.
  • P-curve analyses tested evidential value for four sets of significant findings and estimated effect sizes; random-effects meta-analyses estimated aggregate correlations using Fisher’s z, with Egger’s test for publication bias. Predictor-specific p-curves and meta-analyses examined seven psychosocial predictor categories.
  • Study quality was scored 0–8 based on control for age, gender, smoking, medications, weekday/weekend, waking time, protocol adherence, and clear collection instructions; data were double-checked, with >90% agreement on a 15-article subset.

Limitations

  • Stated: only published literature was included, so unpublished findings and conference abstracts were excluded and true effects may be smaller than reported.
  • Stated: the study tested only bivariate correlations for CARi and AUCw, not more dynamic CAR measures such as flexibility; only linear effects were examined despite some quadratic effects; alternate conceptualizations of psychosocial predictors are possible; the time window of predictors was not assessed; and strict inclusion of healthy participants limits generalization to medically compromised populations.
  • Evident from the text: the study was underpowered to detect moderation and some predictor-specific effects, and some sets had relatively few independent significant findings (e.g., k = 19 for AUCw sets).

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Integrity signals

Registry

Crossref · 10.1016/j.biopsycho.2017.08.058

Cites

251 of 251 references verified0 citation errors · 0 not checkable

Statistics

2 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

61 Own result · 44 Not checked yet · 26 Own interpretation · 13 No basis given · 10 Own method · 1 Sources not found

Verify all 50 references — free account

Show all 94 claims

  • It may state two separate claims as one. 33
  • Probably not a substantial claim. 38
61 of 61
  • The paper relies on this without support.

    There are no norms for the CAR.

    “because there are no norms for the CAR”
  • The paper relies on this without support.

    Small sample sizes, often under 100 participants, are typical of the CAR literature.

    “small sample sizes (N < 100) that are characteristic of the literature.”
  • The paper relies on this without support.

    The psychosocial-functioning and CAR literature has more than doubled in the past six years.

    “The literature on psychosocial functioning and the cortisol awakening response (CAR) has more than doubled in the last six years”
  • The paper relies on this without support.

    Meta-analyses can be biased by Type 1 error.

    “but meta-analyses can be biased by Type 1 error.”
  • The paper relies on this without support.

    The p-curve-derived estimate can be considered a less biased measure for gauging effect size.

    “To the extent that the p-curve-derived estimate can be considered a less biased measure for gauging effect size”
  • The paper relies on this without support.

    Psychosocial predictors influence the CAR.

    “Psychosocial predictors are thought to influence the CAR”
  • The paper relies on this without support.

    There are not enough findings in the extant literature to detect moderation effects.

    “there are not enough findings in the extant literature”
  • The paper relies on this without support.

    There is no theoretical framework for making predictions about moderation.

    “nor is there a theoretical framework for making predictions about moderation”
  • The paper relies on this without support.

    In most cases, researchers will p-hack until the p-value falls just below .05.

    “In most cases, researchers will p-hack until the p-value falls to just under .05.”
  • The paper relies on this without support.

    A solid theoretical framework exists for the seven psychosocial predictor categories.

    “Nevertheless, solid theoretical scaffolding exists for the seven categories”
10 of 10

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upF(3, 203) = 0.25reported p = .83 · recomputed p = .861

    “F (3,203) = 0.25, p = .83”

  • ConsistentF(6, 693) = 0.87reported p = .52 · recomputed p = .516

    “F (6, 693) = 0.87, p = .52”

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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

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Metadata

Authors
Boggero, I. A., Hostinar, C. E., Haak, E. A., Murphy, M. L. M., & Segerstrom, S. C.
Affiliations
  • University of Kentucky (US)
  • University of California, Davis (US)
  • Carnegie Mellon University (US)
Corresponding author
Boggero, Ian A.
Venue
Biological Psychology
Publisher
Elsevier BV
Published
2017-10
Volume
129
Pages
207-230
ISSN
0301-0511 (ISSN-L)
OpenAlex
W2754000831
Cited by
97
References
252
Citations by year
2026: 3 · 2025: 11 · 2024: 10 · 2023: 11 · 2022: 18 · 2021: 13 · 2020: 6 · 2019: 16 · 2018: 8
FWCI
0.72
Type
journal article
Language
en
Open access
Locations
  • Biological Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • UKnowledge (University of Kentucky) (submittedVersion, cc-by-nc-nd)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
National Institute on Aging of the National Institutes of Health (F31-AG048692, K02-AG033629)
Topics
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
cortisol awakening response, psychosocial functioning, depression, post-traumatic stress, circadian rhythm, evidentiary value, p-curve, sample size determination, effect size
MeSH terms
Circadian Rhythm, Humans, Hydrocortisone, Hypothalamo-Hypophyseal System, Pituitary-Adrenal System, Saliva, Social Adjustment, Stress, Psychological, Wakefulness

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