Evidence map›Paper›PMID 38077245›Full record

ArticleSSM - population health2024

Trends in sleep duration in the U.S. from 2004 to 2018: A decomposition analysis.

Jiahui Xu, Liying Luo, Alyssa Gamaldo, Ashton Verdery, Melissa Hardy, Orfeu M Buxton, Qian Xiao

Abstract read
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Actigraphy-based sleep and muscle sympathetic nerve activity in humans.American journal of physiology. Regulatory, integrative and comparative physiology · 2024
    Article
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

7 authors.

Jiahui XuThe Pennsylvania State University, University Park, PA, USA.
Liying LuoThe Pennsylvania State University, University Park, PA, USA.
Alyssa GamaldoClemson University, Clemson, SC, USA.
Ashton VerderyThe Pennsylvania State University, University Park, PA, USA.
Melissa HardyThe Pennsylvania State University, University Park, PA, USA.
Orfeu M BuxtonThe Pennsylvania State University, University Park, PA, USA.
Qian XiaoThe University of Texas Health Science Center at Houston, Houston, TX, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Heterogeneous Effects of Education on Alzheimers Disease and Related Dementia among Demographic Groups: A Multigenerational and Multilevel StudyR01AG078518 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI Liying Luo · 2022 to 2026
$1.4M
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 R01 AG078518NIA NIH HHS R03 AG070812NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Average sleep duration in the United States declined in recent years, and the decline may be linked with many biopsychosocial factors. We examine how a set of biopsychosocial factors have differentially contributed to the temporal trends in self-reported sleep duration across racial groups between 2004-2005 and 2017-2018. Using repeated nationally representative cross-sections from the National Health Interview Survey, we decompose the influence of biopsychosocial factors on sleep duration trends into two components. One component corresponds to coefficient changes (i.e., changes in the associations between behaviors or exposures and sleep duration) of key biopsychosocial factors, and the other part accounts for the compositional changes (i.e., changes in the distributions of exposures) in these biopsychosocial factors during the study period. We reveal that changes in the coefficients of some biopsychosocial factors are more important than compositional changes in explaining the decline in sleep duration within each racial/ethnic group. Our findings highlight racial differences manifest across multiple biopsychosocial domains that are shifting in terms of association and composition. Methodologically, we note that the standard regression approach for analyzing temporal trends neglects the role of coefficient changes over time and is thus insufficient for fully capturing how biopsychosocial factors may have influenced the temporal patterns in sleep duration and related health outcomes.

Indexed as

Decomposition analysisRacial disparitiesSleep duration decline

Identifiers

PMID38077245
PMCPMC10698270

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.