Evidence map›Paper›PMID 38092889›Full record

ArticleScientific reports2023

Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults.

Elexis Price, Xinyue Li, Yanyan Xu, Asifhusen Mansuri, William V McCall, Shaoyong Su, Xiaoling Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Fluctuations in Sleep Duration and Timing and Cardiometabolic Risk.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Elexis PriceMedical College of Georgia, Augusta University, Augusta, GA, USA.
Xinyue LiSchool of Data Science, City University of Hong Kong, Kowloon, Hong Kong, China.
Yanyan XuGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA.
Asifhusen MansuriDivision of Pediatric Nephrology and Hypertension, Children's Hospital of Georgia, Medical College of Georgia, Augusta University, Augusta, GA, USA.
William V McCallDepartment of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA, USA.
Shaoyong SuGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA.
Xiaoling WangGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA. xwang@augusta.edu.
Augusta University · USPrevention Institute · USCity University of Hong Kong · HK

Funding

Role of Skeletal Muscle Health on Poor LIfestyle Related Type 2 Diabetes and Cardiovascular Disease RiskR01DK117365 · NIDDK · AUGUSTA UNIVERSITY · PI HARRIS, RYAN A, WANG, XIAOLING · 2018 to 2022
$3.3M
Psychosocial stress, epigenetics and health disparity in hypertensionR01MD013307 · NIMHD · AUGUSTA UNIVERSITY · PI SU, SHAOYONG · 2019 to 2023
$3.0M
Pediatric Ambulatory Blood Pressure Trajectory and Brain Health in MidlifeR01HL143440 · NHLBI · AUGUSTA UNIVERSITY · PI MCDOWELL, JENNIFER E, SU, SHAOYONG · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL143440NIDDK NIH HHS R01 DK117365NIMHD NIH HHS R01 MD013307
6 · The paper itself

Abstract

Sleep variability (e.g. intra-individual variabilities in sleep duration or sleep timing, social jetlag, and catch-up sleep) is an important factor impacting health and mortality. However, limited information is available on the distribution of these sleep parameters across the human life span. We aimed to provide distribution of sleep variability related parameters across lifespan by sex and race in a national representative sample from the U.S. population. The study included 9981 participants 6 years and older from the National Health and Nutrition Examination Survey (NHANES) 2011-2014, who had 4-7 days of valid 24-h accelerometer recording with at least one day obtained during weekend (Friday or Saturday night). Of the study participants, 43% showed ≥ 60 min sleep duration standard deviation (SD), 51% experienced ≥ 60 min catch-up sleep, 20% showed ≥ 60 min sleep midpoint SD, and 43% experienced ≥ 60 min social jetlag. American youth and young adults averaged greater sleep variability compared to other age groups. Non-Hispanic Blacks showed greater sleep variability in all parameters compared to other racial groups. There was a main effect of sex on sleep midpoint SD and social jetlag with males averaging slightly more than females. Our study provides important observations on sleep variability parameters of residents of the United States by using objectively measured sleep patterns and will provide unique insights for personalized advice on sleep hygiene.

Indexed as

Circadian RhythmSleepAccelerometryAdolescentChildFemaleHumansJet Lag SyndromeMaleNutrition SurveysTime FactorsUnited StatesYoung Adult

Identifiers

PMID38092889
PMCPMC10719297
OpenAlexW4389681166

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.