Evidence map›Paper›PMID 42765048›Full record

ArticleRisk management and healthcare policy2026

Illuminating Risk: An Ecological Analysis of Artificial Light at Night and Childhood Myopia Using State-Level US Data.

Min Ju Kang, Nathaniel LaBarre, Michael Karo, Rachel Soong, Thomas A Vida

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Min Ju KangDepartment of Medical Education, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, USA.ORCID 0000-0002-7612-6422
Nathaniel LaBarreDepartment of Medical Education, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, USA.ORCID 0009-0007-0435-1632
Michael KaroDepartment of Medical Education, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, USA.
Rachel SoongDepartment of Medical Education, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, USA.
Thomas A VidaDepartment of Medical Education, Kirk Kerkorian School of Medicine at UNLV, Las Vegas, NV, USA.ORCID 0000-0002-4878-4233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Childhood myopia is a growing global health concern, associated with serious vision complications later in life, including retinal detachment and myopic macular degeneration. While behavioral factors such as screen time and reduced outdoor exposure have been studied, the potential contribution of environmental light pollution, particularly artificial light at night (ALAN), remains underexplored at the population level. Methods: We analyzed 2019 data from 46 US states to examine the association between ALAN and the prevalence of childhood myopia (ages 0-17). VIIRS satellite-derived nighttime radiance was used as a proxy for outdoor ambient lighting. Using generalized additive modeling (GAM), we examined nonlinear associations while adjusting for behavioral (screen time, insufficient sleep) and structural (Medicaid coverage, uninsured children, vision screening, optometrist density, urbanization) factors. Multicollinearity was assessed using Spearman correlation and variance inflation factors. Results: The final GAM explained 65.3% of the deviance in childhood myopia prevalence (adjusted Conclusion: ALAN is a population-level correlate of childhood myopia in the US. Although not indicative of individual-level risk, its association warrants further ecological investigation and may merit consideration in environmental health and urban planning discussions. These findings highlight the multifactorial nature of pediatric refractive error and the value of integrating environmental exposure data into public health vision surveillance. Further individual-level research is needed to assess causal mechanisms.

Indexed as

ALANecological studyenvironmental healthgeneralized additive modelmedicaidpediatric eye healthvision screening

Identifiers

PMID42765048
PMCPMC13590006

What OpenQuestion holds

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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.