Evidence map›Paper›PMID 39999702›Full record

ArticleThe Science of the total environment2025

Characteristics of objectively-measured naturalistic light exposure patterns in U.S. adults: A cross-sectional analysis of two cohorts.

Danielle A Wallace, Kelly R Evenson, Carmen R Isasi, Sanjay R Patel, Daniela Sotres-Alvarez, Phyllis C Zee, Susan Redline, Frank A J L Scheer, Tamar Sofer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. 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

9 authors.

Danielle A WallaceDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: dwallace5@bwh.harvard.edu.
Kelly R EvensonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, NC, USA.
Carmen R IsasiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Sanjay R PatelCenter for Sleep and Cardiovascular Outcomes Research, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Daniela Sotres-AlvarezDepartment of Biostatistics and the Collaborative Studies Coordinating Center, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Phyllis C ZeeDepartment of Neurology, Center for Circadian and Sleep Medicine, Northwestern University, Evanston, IL, USA.
Susan RedlineDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.
Frank A J L ScheerDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
Tamar SoferDivision of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
TRAINING IN SLEEP, CIRCADIAN &RESPIRATORY NEUROBIOLOGYT32HL007901 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Charles A Czeisler · 1998 to 2026
$18.5M
Vascular Effects of Heparan Sulfate ProteoglycansP50HL056984 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TALL, ALAN RICHARD · 1997 to 2006
$13.1M
Longitudinal Relationships Among Sleep, Cognition and Alzheimer's Disease Biomarkers: Discerning Causal Associations, Mediators and SusceptibilityR01AG070867 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI PURCELL, SHAUN M, REDLINE, SUSAN S. · 2021 to 2024
$9.9M
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Role of Meal Timing in Efficacy of Bariatric Surgery in Obese IndividualsR01HL140574 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHEER, FRANK A, TAVAKKOLI, ALI · 2017 to 2023
$4.2M
Food Timing to Mitigate Adverse Consequences of Night WorkR01HL153969 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHEER, FRANK A · 2021 to 2025
$3.9M
Leveraging omics data to understand sleep health and its consequences among diverse Hispanics/LatinosR01HL161012 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Tamar Sofer · 2022 to 2026
$3.2M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001881NHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K99 HL166700NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS P50 HL056984NHLBI NIH HHS R01 HL140574NHLBI NIH HHS R01 HL153969NHLBI NIH HHS R01 HL161012NHLBI NIH HHS R35 HL135818NHLBI NIH HHS T32 HL007901NIA NIH HHS R01 AG070867
6 · The paper itself

Abstract

Light is an environmental feature important for human physiology. Investigation of how light affects population health requires exposure assessment and personal biomonitoring efforts. Here, we derived measures of amount, duration, regularity, and timing from objective personal light (lux) measurement in >4000 participants across two United States (US)-based cohort studies, the Multi-Ethnic Study of Atherosclerosis (MESA) and the Hispanic Community Health Study / Study of Latinos (HCHS/SOL), encompassing eight geographic regions. Objective light and actigraphy data were collected over a week using wrist-worn devices (Actiwatch Spectrum). Cohort-stratified light exposure metrics were analyzed in relation to sex, season, time-of-day, location, and demographic and sleep health characteristics using Spearman correlation and linear and logistic regressions (separately by cohort) adjusted for age, sex (where applicable), and exam site. Light exposure showed sex-specific patterns and had seasonal, diurnal, geographic, and demographic and sleep health-related correlates. Results between independent cohorts were strongly consistent, supporting the utility and feasibility of light biomonitoring. These findings provide a fundamental first characterization of light exposure patterns in a large US sample and will inform future work to incorporate light as a biologically relevant exposure in environmental public health and key component of the human exposome.

Indexed as

Environmental ExposureLightAdultAgedCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesChronobiologyCircadianIlluminationPhotoperiodSeasonalitySleep disorders

Identifiers

PMID39999702
PMCPMC11939000

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.