Evidence map›Paper›PMID 42086926›Full record

ArticleNpj biological timing and sleep2026

Impact of wear position on dosimeter performance: a hybrid measurement-simulation approach to quantify in-situ factors.

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 VriesDepartment of the Built Environment, Building Lighting group, Eindhoven University of Technology, Eindhoven, the Netherlands. s.w.d.vries@tue.nl.
J MardaljevicSchool of Architecture, Building & Civil Engineering, Loughborough University, Leicestershire, UK.
J van DuijnhovenDepartment of the Built Environment, Building Lighting group, Eindhoven University of Technology, Eindhoven, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifications of personal light exposure (PLE) are important for research on human health and well-being. To capture real-world PLE, dosimeters (light sensors) are often worn on the body, rather than at the eye. Currently, it is largely unknown how such placement influences the dosimeter's performance for measuring actual eye-level light exposure. To overcome limitations of real-world studies, we introduce a novel hybrid measurement-simulation approach to quantify three factors affecting dosimeter performance: the translational and rotational dosimeter displacement and body self occlusion. Using 3D body scans of twelve subjects, we illustrate how an individual's body morphology influences the magnitude and distribution of these factors and identify the dosimeter positions where these factors are minimized. Additionally, we defined illustrative limits to identify regions of the chest suitable for dosimeter placement. Depending on the subject's posture, between 0 and 46.4% of the chest area exhibits sufficiently small magnitudes of these factors to be considered suitable. To ensure valid PLE data in light-dosimetry field studies, it is essential to select a dosimeter position that minimizes each of these three factors for typical subject postures.

Identifiers

PMID42086926
PMCPMC13144307

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.