Evidence map›Paper›PMID 37734073›Full record

ArticleDiabetes care2023

Alignment Between 24-h Light-Dark and Activity-Rest Rhythms Is Associated With Diabetes and Glucose Metabolism in a Nationally Representative Sample of American Adults.

Qian Xiao, John Durbin, Cici Bauer, Chris Ho Ching Yeung, Mariana G Figueiro

Open access · greenAbstract read
In one paragraph

Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Qian XiaoDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.ORCID 0000-0002-8388-1178
John DurbinLight and Health Research Center, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Cici BauerCenter for Spatial-Temporal Modeling for Applications in Population Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
Chris Ho Ching YeungDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
Mariana G FigueiroLight and Health Research Center, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
The University of Texas Health Science Center at Houston · USIcahn School of Medicine at Mount Sinai · US

Funding

Clock modulation in circadian desynchrony induced diabetes and atherovascular disease - mechanisms and interventionsR01DK128972 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FIGUEIRO, MARIANA GROSS, PAUL, ANTONIO · 2021 to 2025
$3.7M
Twenty-four hour patterns of light and activity and Alzheimer's Disease and Related Dementia: interplay with multi-omics biomarkers and AD pathogenesis pathwaysR01AG063946 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Qian Xiao · 2020 to 2026
$3.3M
Studying 24-hour rhythms of light exposure, alignment with rest-activity cycle, and cardiometabolic health in a nationally representative sampleR21HL165369 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FIGUEIRO, MARIANA GROSS, XIAO, QIAN · 2022 to 2023
$257k
NHLBI NIH HHS R21 HL165369NHLBI NIH HHS R21HL165369NIA NIH HHS R01 AG063946NIDDK NIH HHS R01 DK128972
6 · The paper itself

Abstract

objectiveThe alignment between environmental stimuli (e.g., dark, light) and behavior cycles (e.g., rest, activity) is an essential feature of the circadian timing system, a key contributor to metabolic health. However, no previous studies have investigated light-activity alignment in relation to glycemic control in human populations. RESEARCH DESIGN AND

methodsThe analysis included ∼7,000 adults (aged 20-80 years) from the National Health and Nutrition Examination Survey (NHANES) (2011-2014) with actigraphy-measured, multiday, 24-h activity and light data. We used phasor analysis to derive phasor magnitude and phasor angle, which measures coupling strength and phase difference between the activity-rest and light-dark cycles, respectively. We used multinomial logistic regression and multiple linear regression to study phasor magnitude and phasor angle in relation to diabetes (primary outcome) and multiple secondary biomarkers of glycemic control.

resultsLower alignment strength (i.e., a shorter phasor magnitude) and more delayed activity relative to the light cycle (i.e., a larger phasor angle) were both associated with diabetes. Specifically, compared with individuals in the quintiles indicating the most proper alignment (Q5 for phasor magnitude and Q1 for phasor angle), those in the quintiles with the most impaired alignment had a >70% increase in the odds of diabetes for phasor magnitude (odds ratio 1.76 [95% CI 1.39, 2.24]) and for phasor angle (1.73 [1.34, 2.25]). Similar associations were observed for biomarkers for glucose metabolism. The results were generally consistent across diverse sociodemographic and obesity groups.

conclusionsThe alignment pattern between 24-h activity-rest and light-dark cycles may be a critical factor in metabolic health.

Indexed as

Circadian RhythmDiabetes MellitusAdultBiomarkersGlucoseHumansNutrition SurveysBiomarkersGlucose

Identifiers

PMID37734073
PMCPMC10698218
OpenAlexW4386915108

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.