Evidence map›Paper›PMID 34981572›Full record

ArticleJournal of pineal research2022

Predicting melatonin suppression by light in humans: Unifying photoreceptor-based equivalent daylight illuminances, spectral composition, timing and duration of light exposure.

Marina C Giménez, Oliver Stefani, Christian Cajochen, Dieter Lang, Gunnar Deuring, Luc J M Schlangen

Open access · bronzeAbstract read
In one paragraph

Article in Journal of pineal research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 58 citations in OpenAlex.

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  12. Reconsidering the spectral distribution of light: Do people perceive watts or photons?Lighting research & technology (London, England : 2001) · 2024
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  20. Human-Centric Lighting Research and Policy in the Melanopsin Age.Policy insights from the behavioral and brain sciences · 2023
    Article
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

6 authors at 5 institutions in 4 countries.

Marina C GiménezChronobiology Unit, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-2286-8850
Oliver StefaniCentre for Chronobiology and Transfaculty Research Platform Molecular and Cognitive Neurosciences (MCN), Psychiatric Hospital of the University of Basel (UPK) and University of Basel, Basel, Switzerland.
Christian CajochenCentre for Chronobiology and Transfaculty Research Platform Molecular and Cognitive Neurosciences (MCN), Psychiatric Hospital of the University of Basel (UPK) and University of Basel, Basel, Switzerland.
Dieter LangLedvance, Munich, Germany.
Gunnar DeuringForensic Department, University Psychiatric Clinics Basel, Basel, Switzerland.
Luc J M SchlangenDepartment of Industrial Engineering and Innovation Sciences, Human-Technology Interaction Group and Intelligent Lighting Institute, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0002-8424-7240
University of Basel · CHCovance (Germany) · DEIntelligent Light (United States) · USPsychiatry Baselland · CHUniversity of Groningen · NL

Funding

Lighting Europe
6 · The paper itself

Abstract

Light-induced melatonin suppression data from 29 peer-reviewed publications was analysed by means of a machine-learning approach to establish which light exposure characteristics (ie photopic illuminance, five α-opic equivalent daylight illuminances [EDIs], duration and timing of the light exposure, and the dichotomous variables pharmacological pupil dilation and narrowband light source) are the main determinants of melatonin suppression. Melatonin suppression in the data set was dominated by four light exposure characteristics: (1) melanopic EDI, (2) light exposure duration, (3) pupil dilation and (4) S-cone-opic EDI. A logistic model was used to evaluate the influence of each of these parameters on the melatonin suppression response. The final logistic model was only based on the first three parameters, since melanopic EDI was the best single (photoreceptor) predictor that was only outperformed by S-cone-opic EDI for (photopic) illuminances below 21 lux. This confirms and extends findings on the importance of the metric melanopic EDI for predicting biological effects of light in integrative (human-centric) lighting applications. The model provides initial and general guidance to lighting practitioners on how to combine spectrum, duration and amount of light exposure when controlling non-visual responses to light, especially melatonin suppression. The model is a starting tool for developing hypotheses on photoreceptors' contributions to light's non-visual responses and helps identifying areas where more data are needed, like on the S-cone contribution at low illuminances.

Indexed as

MelatoninCircadian RhythmHumansRetinal Cone Photoreceptor CellsMelatoninguidance to lighting practitionershumanslight exposure durationmachine learningmelatonin suppressionα-opic EDI

Identifiers

PMID34981572
PMCPMC9285453
OpenAlexW4205276478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.