Evidence map›Paper›PMID 35296108›Full record

ArticleSleep advances : a journal of the Sleep Research Society2022

Cardiovascular risks and sociodemographic correlates of multidimensional sleep phenotypes in two samples of US adults.

Soomi Lee, Claire E Smith, Meredith L Wallace, Ross Andel, David M Almeida, Sanjay R Patel, Orfeu M Buxton

Abstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  7. Review
  8. The multidimensional sleep health of individuals with multiple sclerosis and Huntington's disease and healthy controls.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  9. Article
  10. Multidimensional Sleep Health Problems Across Middle and Older Adulthood Predict Early Mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. 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

7 authors.

Soomi LeeUniversity of South Florida, School of Aging Studies, Tampa, FL, USA.ORCID https://orcid.org/0000-0002-7623-3770
Claire E SmithUniversity of South Florida, School of Aging Studies, Tampa, FL, USA.
Meredith L WallaceUniversity of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0003-3951-890X
Ross AndelUniversity of South Florida, School of Aging Studies, Tampa, FL, USA.
David M AlmeidaThe Pennsylvania State University, Department of Human Development and Family Studies, State College, PA, USA.
Sanjay R PatelUniversity of Pittsburgh, Department of Medicine, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-9142-5172
Orfeu M BuxtonThe Pennsylvania State University, Department of Biobehavioral Health, State College, PA, USA.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Business and regulatory development for Integrating sleep enhancement technology into clinical practiceR44AG056250 · NIA · PROACTIVE LIFE, INC. · PI GARTENBERG, DANIEL · 2020 to 2022
$2.5M
Non-pharmacological improvement of sleep structure in older peopleR43AG056250 · NIA · MOBILE SLEEP TECHNOLOGIES, LLC · PI GARTENBERG, DANIEL, GERASHCHENKO, DMITRY · 2017 to 2018
$696k
Sleep Health Profiles in Middle-aged Workers in Relation to Cardiovascular and Cognitive HealthR56AG065251 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI LEE, SOOMI · 2020 to 2020
$412k
NIA NIH HHS P01 AG020166NIA NIH HHS R43 AG056250NIA NIH HHS R44 AG056250NIA NIH HHS R56 AG065251NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Study Objectives: Sleep is a modifiable risk factor for cardiovascular conditions. Holistic examination of within-person, multidimensional sleep patterns may offer more detailed information about the sleep-cardiovascular condition link, including who is more vulnerable to both. This study aimed to identify common sleep phenotypes in adulthood, establish the validity of the phenotypes in relation to cardiovascular conditions, and explore sociodemographic and background characteristics of the phenotypes. Methods: Across two independent samples of adults ( Results: Four sleep phenotypes were identified consistently across the two samples: Conclusions: Common sleep phenotypes in adulthood exhibit differential risks for cardiovascular conditions. Cooccurring sleep dissatisfaction and inefficiency, in particular, may relate to increased risk of cardiovascular conditions. Certain sociodemographic groups (racial minorities, women, older adults) disproportionately fit within high-risk sleep phenotypes.

Indexed as

cluster analysisheart diseasemiddle adulthoodsleep healthsleep phenotypessocial disparities

Identifiers

PMID35296108
PMCPMC8918427

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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.