Evidence mapPaperPMID 39656455Full record

ArticleJAMA network open2024

Race, Ethnicity, and Sleep in US Children.

Yijie Wang, Zhenqiang Zhao, Youchuan Zhang, Jinjin Yan, Meng-Run Zhang, Elizabeth Jelsma, Shadane Johnson, Heining Cham, Margarita Alegría, Tiffany Yip

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
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

15 citing papers in PubMed.

  1. Article
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  3. Health care expenditures associated with sleep disorders among children and adolescents in the United States: a nationally representative study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
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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

10 authors.

Yijie WangDepartment of Human Development and Family Studies, Michigan State University, East Lansing.
Zhenqiang ZhaoDepartment of Psychology, Fordham University, Bronx, New Jersey.
Youchuan ZhangDepartment of Human Development and Family Studies, Michigan State University, East Lansing.
Jinjin YanDepartment of Psychology, Fordham University, Bronx, New Jersey.
Meng-Run ZhangDepartment of Psychology, Fordham University, Bronx, New Jersey.
Elizabeth JelsmaDepartment of Human Development and Family Studies, Michigan State University, East Lansing.
Shadane JohnsonDepartment of Psychology, Fordham University, Bronx, New Jersey.
Heining ChamDepartment of Psychology, Fordham University, Bronx, New Jersey.
Margarita AlegríaDisparities Research Unit, Massachusetts General Hospital, Boston, Massachusetts.
Tiffany YipDepartment of Psychology, Fordham University, Bronx, New Jersey.

Funding

Perceived Negative Treatment and Adolescent Substance Use: Understanding Moderating Mechanisms of Sleep and Neighborhood Environment in the ABCD StudyR01MD015763 · MICHIGAN STATE UNIVERSITY · 2025 to 2025
$418k
NIMHD NIH HHS R01 MD015763
6 · The paper itself

Abstract

Importance: Although racial and ethnic disparities are well documented in children's mean levels of sleep, particularly duration, evidence is mixed for sleep variability, an important sleep dimension of growing interest. Most research has also focused on comparisons of Black and White children, with limited attention to sleep variability disparities among other racially and ethnically minoritized groups such as Asian, Latinx, and multiracial children. Objective: To investigate racial and ethnic disparities in children's mean levels of sleep and variability of sleep across multiple dimensions and diverse racial and ethnic groups using actigraphy data. Design, Setting, and Participants: This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) study, a national cohort study, from 21 study sites across the US. ABCD participants were recruited at baseline (2016-2018) using a multistage, stratified, probability sampling method. The current study used a subsample with reliable actigraphy data collected at 2-year follow-up (2018-2020). Data analysis occurred from July 2023 to October 2024. Exposures: Parent-reported race and ethnicity at baseline. Sociodemographic, health, and contextual covariates of sleep were also included. Main Outcomes and Measures: Actigraphy-assessed mean levels of sleep and sleep variability across multiple dimensions (duration, bedtime, risetime, efficiency, and latency) over 3 weeks. Results: The analytic sample included 3868 children (mean [SD] age, 11.50 [0.67] years; 1913 female [49.5%]), of whom 104 (2.7%) were Asian, 347 (9.0%) were Black or African American, 801 (20.7%) were Latinx, 356 (9.2%) were multiracial, and 2260 (58.4%) were White. Asian, Black, Latinx, and multiracial children exhibited shorter sleep duration and later bedtime than White children. Importantly, compared with White children, bedtime variability was greater among Asian (β = 0.04; 95% CI, 0.01 to 0.07; P = .02), Black (β = 0.11 95% CI, 0.08 to 0.15; P < .001), Latinx (β = 0.08; 95% CI, 0.05 to 0.12; P < .001), and multiracial children (β = 0.08; 95% CI, 0.05 to 0.11; P < .001). Similarly, risetime variability was greater among Asian (β = 0.04; 95% CI, 0.01 to 0.07; P = .01), Black (β = 0.08; 95% CI, 0.04 to 0.12; P < .001), and Latinx (β = 0.06; 95% CI, 0.02 to 0.10; P < .01) children in comparison with White children. Black children exhibited the most profound disparities across mean levels (duration and bedtime) and variability of sleep (duration, bedtime, risetime, and efficiency) than other groups. Asian and multiracial children also exhibited some disparities sleep duration, efficiency, and efficiency variability, when compared with Latinx children. Conclusions and Relevance: In this cross-sectional study of children's sleep disparities, racially and ethnically minoritized children exhibited disparities in mean levels and variability of sleep compared with their White peers. These findings suggest that policies and practices should target multiple sleep dimensions among diverse racial and ethnic groups to promote equitable pediatric sleep health.

Indexed as

ActigraphyEthnicityRacial GroupsSleepAdolescentChildCross-Sectional StudiesFemaleHealth Status DisparitiesHumansMaleUnited States

Identifiers

PMID39656455
PMCPMC11632548

What Socratic holds

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Registered trials

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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.