ArticleTranslational vision science & technology2024
A Child-Friendly Wearable Device for Quantifying Environmental Risk Factors for Myopia.
Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ocular light and optical radiation exposure as a modifiable environmental determinant of health: expert consensus on research gaps and priorities.BMC medicine · 2026Guideline
- Analysis of human visual experience data.Journal of vision · 2026Article
- Using deep learning to explore the impacts of street-view green space on school myopia prevalence: a multicenter, cross-sectional study.Scientific reports · 2026Article
- IMI: The Role of Light in Refractive Development and Myopia: Evidence from Animal and Human Studies.Investigative ophthalmology & visual science · 2025Review
- A novel wearable sensor for objective measurement of distance and illumination.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Optical and Visual Diet in Myopia.Investigative ophthalmology & visual science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Purpose: In the past few decades, the prevalence of myopia, where the eye grows too long, has increased dramatically. The visual environment appears to be critical to regulating the eye growth. Thus, it is very important to determine the properties of the environment that put children at risk for myopia. Researchers have suggested that the intensity of illumination and range of distances to which a child's eyes are exposed are important, but this has not been confirmed. Methods: We designed, built, and tested an inexpensive, child-friendly, head-mounted device that can measure the intensity and spectral content of illumination approaching the eyes and can also measure the distances to which the central visual field of the eyes are exposed. The device is mounted on a child's bicycle helmet. It includes a camera that measures distances over a substantial range and a six-channel spectral sensor. The sensors are hosted by a light-weight, battery-powered microcomputer. We acquired pilot data from children while they were engaged in various indoor and outdoor activities. Results: The device proved to be comfortable, easy, and safe to wear, and able to collect very useful data on the statistics of illumination and distances. Conclusions: The designed device is an ideal tool to be used in a population of young children, some of whom will later develop myopia and some of whom will not. Translational Relevance: Such data would be critical for determining the properties of the visual environment that put children at risk for becoming myopic.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.