Evidence map›Paper›PMID 41230818›Full record

ArticleSleep2026

Performance of wearable light sensors for measuring photopic and melanopic illuminance under laboratory and free-living conditions.

Asuka Ishihara, Robert J Brychta, Samuel R LaMunion, Suzanne McGehee, Magaly Donayre, Olivia Jordan, Kyndall Davis, Gabriel Sanchez, Lindsey Smith, Stephanie T Chung and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05398783 (A Natural History Study of Metabolic Sizing in Health and Disease), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

NCT05398783 recruitingnot on this map

A Natural History Study of Metabolic Sizing in Health and Disease

TypeobservationalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2022 to 2031Enrolled2,000ConditionsMetabolic Disorders, Cancer, Chronic Kidney Disease, Diabetes
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

12 authors.

Asuka IshiharaNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-9701-6284
Robert J BrychtaNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-9491-7968
Samuel R LaMunionNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0002-7290-5189
Suzanne McGeheeNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Magaly DonayreNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Olivia JordanNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Kyndall DavisNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Gabriel SanchezNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Lindsey SmithNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Stephanie T ChungNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Amber B CourvilleNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
Kong Y ChenNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors are commonly used to study the effects of free-living light exposure on physiological outcomes; however, rigorous validation of their performance has been limited. To address this gap, we quantified the accuracy and precision of light measurements from four commonly used wearable sensors (LYS, ActLumus, GENEActiv, and ActiGraph wGT3X-BT). Eight devices from each manufacturer (32 total) were compared to a criterion spectrometer under light-emitting diode-generated cool (peak ~460 nm) and warm (peak ~600 nm) white light at indoor intensities (2-1000 lux) and broad-spectrum sunlight (5 k-100 k lux). We found linear responses for all sensors between 50 and 20 k photopic lux, irrespective of spectrum, but detection ranges varied: ActLumus (2-100 k lux), LYS (2-60 k lux), GENEActiv (2-40 k lux), and ActiGraph (50-20 k lux). Accuracy-percent difference to criterion-also differed: ActLumus (+3.3 ± 13.4%, mean ± SD), LYS (+19.5 ± 42.0%), and below -20% for GENEActiv and ActiGraph. Interdevice variability was consistently lowest for ActLumus, and melanopic illuminance was less accurate with LYS than ActLumus, particularly in warm indoor light. Laboratory findings were compared to 1-week free-living light measurements in 21 individuals concurrently wearing the most and least accurate sensors in randomized positions on the nondominant wrist. The mean 24 h lux per participant was correlated (r = 0.91, p < .001) but lower for ActiGraph (77.3 ± 68.5 lux) than ActLumus (515.0 ± 436.0 lux; p < .001) with the greatest differences ≤100 lux (p < .001), consistent with the laboratory results. Thus, differences in illuminance range and accuracy can lead to large disparities in free-living measures across manufacturers, suggesting a need for greater technical standardization. Clinical Trial: A Natural History Study of Metabolic Sizing in Health and Disease. https://clinicaltrials.gov/study/NCT05398783 (NCT05398783). Statement of Significance Emerging evidence suggests light exposure has a greater impact on human health than previously appreciated. Wearable sensors embedded with light-measuring capabilities can play a crucial role in studying the relationship between light and physiological health. Thus, the performance of light sensors should be thoroughly evaluated. We tested the detection limits, accuracy, and variability of four commonly used wearable light sensors to indoor and outdoor intensities and spectra reflective of the real-world light environment and assessed the translatability of laboratory-based observations in a free-living pilot study. Our findings demonstrate broad variation in accuracy within and across manufacturers that emphasizes the need for rigorous sensor evaluation and highlights the challenges of interpreting illuminance measures across studies deploying different light sensors.

Indexed as

ActigraphyLightLightingWearable Electronic DevicesAdultFemaleHumansMaleReproducibility of ResultsYoung Adultlight exposuresensitivityvariabilitywearables

Identifiers

PMID41230818
PMCPMC13396946

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.