Evidence map›Paper›PMID 40474593›Full record

ArticleJournal of sleep research2026

Elevated Hair Cortisol Concentrations Are Associated With Poor Sleep Quality Evaluated Using the Pittsburgh Sleep Quality Index but Not With Actigraphy.

David S Michaud, Mireille Guay

Abstract read
In one paragraph

Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

David S MichaudHealth Canada, Non-Ionizing Radiation Health Sciences Division, Ottawa, Canada.ORCID 0000-0001-6936-3342
Mireille GuayHealth Canada, Population Studies Division, Biostatistics Section, Ottawa, Canada.ORCID 0000-0003-1517-8998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing interest in studying how habitual sleep disturbance affects biological risk factors that may underscore adverse health outcomes. This study examined associations between hair cortisol concentrations and self-reported sleep quality and objectively measured sleep metrics derived using actigraphy. Data were collected from 306 female and 177 male adults, aged 18-79 years. Hair cortisol was analysed from 3-cm proximal hair segments from the head to represent cortisol accumulation over approximately 90 days. Sleep quality measures included Pittsburgh Sleep Quality Index (PSQI) scores and five actigraphy-derived metrics: sleep latency, total sleep time, wake after sleep onset, sleep efficiency and awakening bouts. In the fully adjusted multiple regression model, higher hair cortisol concentrations were associated with poor self-reported sleep quality (i.e., PSQI > 5; p = 0.020), and higher mean PSQI scores (p = 0.027). No significant relationships were observed with actigraphy-derived sleep measures. The findings support hair cortisol as a promising biomarker for evaluating chronic stress that often coincides with self-reported sleep disturbance. The results suggest the importance of aligning time reference periods for biomarker and self-reported outcomes and highlight the need for further research to reconcile discrepancies between subjective and objective sleep measures.

Indexed as

HairHydrocortisoneSleep QualitySleep Wake DisordersActigraphyAdolescentAdultAgedBiomarkersFemaleHumansMaleMiddle AgedSelf ReportSleepYoung AdultBiomarkersHydrocortisoneactigraphyhair cortisolPittsburgh Sleep Quality Indexsleep disturbancestresssubjective sleep quality

Identifiers

PMID40474593
PMCPMC12856103

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.