Evidence map›Paper›PMID 33358437›Full record

ArticleSleep health2021

Opposite educational gradients in sleep duration between Black and White adults, 2004-2018.

Liying Luo, Orfeu M Buxton, Alyssa A Gamaldo, David M Almeida, Qian Xiao

Abstract read
In one paragraph

Article in Sleep health, 2021. 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
–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

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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.

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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.

Liying LuoPennsylvania State Unviersity, University Park, Pennsylvania, USA. Electronic address: liyingluo@psu.edu.
Orfeu M BuxtonPennsylvania State Unviersity, University Park, Pennsylvania, USA.
Alyssa A GamaldoPennsylvania State Unviersity, University Park, Pennsylvania, USA.
David M AlmeidaPennsylvania State Unviersity, University Park, Pennsylvania, USA.
Qian XiaoThe University of Texas Health Science Center at Houston, Houston Texas, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Cohort Differences in Cognitive Impairment and Alzheimer Disease and Related Dementias: Education Effects and Sex DifferencesR03AG070812 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LUO, LIYING · 2021 to 2022
$321k
NIA NIH HHS R03 AG070812NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

objectivesTo investigate the heterogeneous effects of education on sleep duration for Black and White adults and how the education effects changed between 2004 and 2018.

methodsA total of 251,994 adult participants in the 2004 to 2018 National Health Interview Survey were included in pooled cross-sectional data analyses. Separately for Black and White men and women, we calculated prevalence ratio and average marginal probability of short sleep (<7 hours) for each education level over the study period based on weighted logistic regression models.

resultsOpposite educational gradients in short sleep were observed between Black and White adults. Greater educational attainment was associated with lower likelihood of short sleep among White adults but higher likelihood of short sleep among Black adults. Such heterogeneous educational gradients were robust after accounting for a set of socioeconomic, family, and health factors and persisted between 2004 and 2018.

conclusionsThe health implications of education are not uniform in the US population, and heterogeneous education effects on sleep duration persisted over the past decade. More scholarly attention is needed to identify challenges and barriers that may be unique for race, sex, and education subpopulations to maintain healthy sleep.

Indexed as

Black PeopleWhite PeopleAdultCross-Sectional StudiesFemaleHumansMaleSleepTime FactorsEducational gradientsRacial disparityShort sleepSocioeconomic disparity

Identifiers

PMID33358437
PMCPMC8783663

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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 OpenQuestion graph.