Evidence map›Paper›PMID 38092369›Full record

ArticleSleep2024

High levels of sleep disturbance across early childhood increases cardiometabolic disease risk index in early adolescence: longitudinal sleep analysis using the Health Outcomes and Measures of the Environment study.

Kara McRae Duraccio, Yingying Xu, Dean W Beebe, Bruce Lanphear, Aimin Chen, Joseph M Braun, Heidi Kalkwarf, Kim M Cecil, Kimberly Yolton

Open access · greenAbstract read
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 8 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

9 authors at 5 institutions in 2 countries.

Kara McRae DuraccioDepartment of Psychology, Brigham Young University, Provo, UT, USA.ORCID 0000-0001-5671-0317
Yingying XuDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID 0000-0001-5247-3721
Dean W BeebeDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID 0000-0001-5740-8769
Bruce LanphearFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Aimin ChenDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Joseph M BraunDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.ORCID 0000-0002-5239-3235
Heidi KalkwarfDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID 0000-0001-9030-8401
Kim M CecilDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID 0000-0001-8233-5485
Kimberly YoltonDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USBrigham Young University · USBrown University · USSimon Fraser University · CAUniversity of Pennsylvania · US

Funding

Study of Prevalent Neurotoxicants in ChildrenP01ES011261 · NIEHS · CINCINNATI CHILDRENS HOSP MED CTR · PI LANPHEAR, BRUCE P · 2001 to 2006
$6.4M
Early life perfluoroalkyl substance exposure & obesity: Mechanisms & phenotypingR01ES025214 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2016 to 2020
$3.1M
NIEHS NIH HHS PO1 ES11261NIEHS NIH HHS R01 ES025214
6 · The paper itself

Abstract

STUDY

objectivesThis study examines the impact of sleep duration, bedtime, and sleep disturbance during early childhood on the risk of cardiometabolic disorder (CMD) in early adolescence.

methodsWithin the Health Outcomes and Measures of Environment Study, we examined sleep patterns of 330 children from ages 2 to 8 years and the relationship of these sleep patterns with cardiometabolic risk measures at age 12 (N = 220). We used a group-based semi-parametric mixture model to identify distinct trajectories in sleep duration, bedtime timing, and sleep disturbance for the entire sample. We then examined the associations between sleep trajectories and CMD risk measures using general linear models using both an unadjusted model (no covariates) and an adjusted model (adjusting for child pubertal stage, child sex, duration of breastfeeding, household income, maternal education, and maternal serum cotinine).

resultsIn the unadjusted and adjusted models, we found significant differences in CMD risk scores by trajectories of sleep disturbance. Children in the "high" disturbance trajectory had higher CMD risk scores than those in the 'low' disturbance trajectory (p's = 0.002 and 0.039, respectively). No significant differences in CMD risk were observed for bedtime timing or total sleep time trajectories in the unadjusted or adjusted models.

conclusionsIn this cohort, caregiver-reported sleep disturbance in early childhood was associated with more adverse cardiometabolic profiles in early adolescence. Our findings suggest that trials to reduce CMD risk via sleep interventions-which have been conducted in adolescents and adults-may be implemented too late.

Indexed as

Cardiovascular DiseasesSleep Wake DisordersAdolescentAdultBody Mass IndexChildChild, PreschoolFemaleHumansOutcome Assessment, Health CareRisk FactorsSleepcardiometabolic diseasecardiovascular medicinechild/childrenlongitudinal assessmentmetabolic diseasepediatrics—adolescentssleep

Identifiers

PMID38092369
PMCPMC10925946
OpenAlexW4389685490

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.