Evidence map›Paper›PMID 38617425›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2024

Spatiotemporal light exposure modeling for environmental circadian misalignment and solar jetlag.

Trang VoPham, Mimi Ton, Matthew D Weaver

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. 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.

Trang VoPhamEpidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID https://orcid.org/0000-0003-4787-1201
Mimi TonDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID https://orcid.org/0000-0001-8705-7103
Matthew D WeaverDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-3578-336X

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Air pollution and health disparities in liver disease and cancerK01DK125612 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI VOPHAM, TRANG · 2020 to 2024
$746k
NIDDK NIH HHS K01 DK125612NIEHS NIH HHS L30 ES027668NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

Background: Light exposure is the most powerful resetting signal for circadian rhythms. The objective of this study was to develop and validate a high-resolution geospatial light exposure model that measures environmental circadian misalignment (or solar jetlag) as the mismatch between the social clock and sun clock, which occurs from geographic variation in light exposure leading to delayed circadian phase from relatively less morning light exposure and greater evening light exposure with increasing westward position within a time zone. Methods: The light exposure model (30 m Results: Western versus eastern positions within a time zone were associated with higher solar jetlag scores from the light exposure model ( Conclusion: We developed and validated a geospatial light exposure model, enabling high spatiotemporal resolution and comprehensive characterization of geographic variation in light exposure potentially impacting circadian phase in epidemiologic studies.

Indexed as

Circadian disruptionCircadian misalignmentGeospatial scienceLight exposureSolar jetlag

Identifiers

PMID38617425
PMCPMC11008630

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.