Evidence map›Paper›PMID 42086978›Full record

ArticleNpj biological timing and sleep2026

Impact of wear position on dosimeter performance: measurement validity under simulated indoor illumination.

S W de Vries, J Mardaljevic, J van Duijnhoven

Abstract read
In one paragraph

Article in Npj biological timing and sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

3 authors.

S W de VriesBuilding Lighting group, Department of the Built Environment, Eindhoven University of Technology, Eindhoven, the Netherlands. s.w.d.vries@tue.nl.ORCID http://orcid.org/0009-0009-2534-4129
J MardaljevicSchool of Architecture, Building & Civil Engineering, Loughborough University, Leicestershire, UK.ORCID http://orcid.org/0000-0002-1606-9489
J van DuijnhovenBuilding Lighting group, Department of the Built Environment, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID http://orcid.org/0000-0003-1145-7033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The light an individual is exposed to, or personal light exposure (PLE), plays an important role in human health and well-being research. PLE is typically quantified using body-worn light dosimeters (sensors), but their effectiveness as a proxy for measuring at the eye remains insufficiently understood. By combining 3D body scans and lighting simulations, we quantified the discrepancies between chest-worn and eye-level dosimeter measurements under three generalized indoor lighting scenarios. Chest-worn dosimeter performance was found to be highly context-dependent, with the smallest deviations (between -26.2% and 63.8%) observed for devices on the lower chest. Quantifying corneal light exposure, i.e., considering the field of view of the human eye, based on chest-worn dosimeter measurements proved problematic as deviations under overhead lighting exceeded a minimum 25%. To deepen our understanding of the underlying mechanisms, we disaggregated the causes of these discrepancies into three factors: the translational dosimeter displacement, the rotational dosimeter displacement, and body self-occlusion. The results indicate that minimizing the rotational displacement is key to reducing measurement discrepancies and inter-individual variability. To improve the validity of chest-worn dosimetry, an individualized approach is recommended: selecting a chest position where the dosimeter best aligns with the subject's typical view direction during expected activities.

Identifiers

PMID42086978
PMCPMC13144681

What Socratic 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 Socratic graph.