Evidence map›Paper›PMID 35551259›Full record

ReviewInternational journal of obesity (2005)2022

Sleep onset, duration, or regularity: which matters most for child adiposity outcomes?

Trevin E Glasgow, Elizabeth L Adams, Albert Ksinan, D Jeremy Barsell, Jessica Lunsford-Avery, Shanshan Chen, Scott Kollins, Julia C Schechter, Rachel Maguire, Matthew Engelhard and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. Review
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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

11 authors at 5 institutions in 2 countries.

Trevin E GlasgowDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0003-2720-3425
Elizabeth L AdamsDepartment of Exercise Science, University of South Carolina, Columbia, SC, USA.
Albert KsinanRECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID 0000-0003-3900-5098
D Jeremy BarsellDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA.
Jessica Lunsford-AveryDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Shanshan ChenDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Scott KollinsHolmusk, Durham, NC, USA.
Julia C SchechterDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Rachel MaguireDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
Matthew EngelhardDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Bernard F FuemmelerDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA. bernard.fuemmeler@vcuhealth.org.ORCID 0000-0002-3550-0107
Virginia Commonwealth University · USDuke University · USMasaryk University · CZUniversity of North Carolina at Chapel Hill · USUniversity of South Carolina · US

Funding

Virginia Commonwealth University IRADCAK12GM093857 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI DANIEL C BULLARD, John J Ryan · 2010 to 2026
$7.0M
Project 3: Epigenomic Consequences of Early Life Environmental Tobacco Smoke P01ES022831 · NIEHS · DUKE UNIVERSITY · PI MURPHY, SUSAN KAY · 2013 to 2018
$4.1M
Research Core 3: Environmental Health PolicyP30ES011961 · NIEHS · DUKE UNIVERSITY · PI DI GIULIO, RICHARD · 2004 to 2009
$4.1M
Duke University Program in Environmental HealthT32ES021432 · NIEHS · DUKE UNIVERSITY · PI Akhenaton-Andrew Dhafir Jones, Joel Newman Meyer · 2013 to 2026
$4.0M
Nutrition, Deregulation of Imprinted GenesR01ES016772 · NIEHS · DUKE UNIVERSITY · PI HOYO, CATHRINE · 2009 to 2013
$3.1M
Maternal obesity, child executive functions and child weight gainR01HD084487 · NICHD · DUKE UNIVERSITY · PI FUEMMELER, BERNARD F, SCHECHTER, JULIA CORWIN · 2015 to 2019
$3.0M
Training Program in Cancer Prevention and Control and Cancer Health Equity (CPC-CHE)T32CA093423 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Bernard F Fuemmeler, Oxana G Palesh · 2018 to 2026
$3.0M
Obesity and deregulation of imprinted genes in early lifeR01DK085173 · NIDDK · DUKE UNIVERSITY · PI HOYO, CATHRINE, MURPHY, SUSAN KAY · 2010 to 2013
$2.3M
Follow-up and Maintenance of the Newborn Epigenetics STudy (NEST) CohortR24ES028531 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HOYO, CATHRINE, MURPHY, SUSAN KAY · 2018 to 2022
$1.9M
In-utero Exposure and Infant Loss of IGF2 ImprintingR21ES014947 · NIEHS · DUKE UNIVERSITY · PI HOYO, CATHRINE · 2006 to 2007
$384k
NCI NIH HHS T32 CA093423NICHD NIH HHS R01 HD084487NIDDK NIH HHS R01 DK085173NIEHS NIH HHS P01 ES022831NIEHS NIH HHS P30 ES011961NIEHS NIH HHS R01 ES016772NIEHS NIH HHS R21 ES014947NIEHS NIH HHS R24 ES028531NIEHS NIH HHS T32 ES021432NIGMS NIH HHS K12 GM093857
6 · The paper itself

Abstract

BACKGROUND/

objectivesSleep measures, such as duration and onset timing, are associated with adiposity outcomes among children. Recent research among adults has considered variability in sleep and wake onset times, with the Sleep Regularity Index (SRI) as a comprehensive metric to measure shifts in sleep and wake onset times between days. However, little research has examined regularity and adiposity outcomes among children. This study examined the associations of three sleep measures (i.e., sleep duration, sleep onset time, and SRI) with three measures of adiposity (i.e., body mass index [BMI], waist circumference, and waist-to-height ratio [WHtR]) in a pediatric sample. SUBJECTS/

methodsChildren (ages 4-13 years) who were part of the U.S. Newborn Epigenetic STudy (NEST) participated. Children (N = 144) wore an ActiGraph for 1 week. Sleep measures were estimated from actigraphy data. Weight, height, and waist circumference were measured by trained researchers. BMI and WHtR was calculated with the objectively measured waist and height values. Multiple linear regression models examined associations between child sleep and adiposity outcomes, controlling for race/ethnicity, child sex, age, mothers' BMI and sleep duration.

resultsWhen considering sleep onset timing and duration, along with demographic covariates, sleep onset timing was not significantly associated with any of the three adiposity measures, but a longer duration was significantly associated with a lower BMI Z-score (β = -0.29, p < 0.001), waist circumference (β = -0.31, p < 0.001), and WHtR (β = -0.38, p < 0.001). When considering SRI and duration, duration remained significantly associated with the adiposity measures. The SRI and adiposity associations were in the expected direction, but were non-significant, except the SRI and WHtR association (β = -0.16, p = 0.077) was marginally non-significant.

conclusionsSleep duration was consistently associated with adiposity measures in children 4-13 years of age. Pediatric sleep interventions should focus first on elongating nighttime sleep duration, and examine if this improves child adiposity outcomes.

Indexed as

AdipositySleepAdolescentAdultBody Mass IndexChildChild, PreschoolHumansInfant, NewbornObesityWaist Circumference

Identifiers

PMID35551259
PMCPMC9585919
OpenAlexW4280517920

What OpenQuestion holds

Textmetadata
LicenceTDM
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.