Evidence map›Paper›PMID 37950462›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Multidimensional Sleep Health Problems Across Middle and Older Adulthood Predict Early Mortality.

Soomi Lee, Christina X Mu, Meredith L Wallace, Ross Andel, David M Almeida, Orfeu M Buxton, Sanjay R Patel

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 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.

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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 LeeDepartment of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-7623-3770
Christina X MuSchool of Aging Studies, University of South Florida, Tampa, Florida, USA.ORCID 0000-0002-3528-0482
Meredith L WallaceDepartment of Psychiatry, Statistics, and Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-3951-890X
Ross AndelEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA.
David M AlmeidaDepartment of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA.
Orfeu M BuxtonDepartment of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0001-5057-633X
Sanjay R PatelDivision of Pulmonary Allergy Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9142-5172

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
Integrative Pathways to Cognitive, Affective, and Brain HealthU01AG077928 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson, MARGIE E LACHMAN · 2022 to 2026
$17.7M
Business and regulatory development for Integrating sleep enhancement technology into clinical practiceR44AG056250 · NIA · PROACTIVE LIFE, INC. · PI GARTENBERG, DANIEL · 2020 to 2022
$2.5M
Sleep, Pain, Active Social Life, and Inflammation (SPAI)R01HL163226 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LYNN M. MARTIRE · 2023 to 2026
$2.1M
Sleep Health Profiles Predicting Impaired Cognition and Depressive Symptoms in Older Adults: Extending Novel Statistical Methods in Multi-Cohort ApplicationsRF1AG056331 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, MEREDITH JOANNE LOTZ · 2021 to 2021
$2.0M
Sleep Health Profiles Predicting Impaired Cognition and Depressive Symptoms in Older Adults: Extending Novel Statistical Methods in Multi-Cohort ApplicationsR01AG056331 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLACE, MEREDITH JOANNE LOTZ · 2017 to 2024
$1.6M
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
Protecting Healthcare Workers' Health and Well-being: The Joint Effects of Sleep and Pain, and Moderations by Work CharacteristicsF31HL165898 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI MU, CHRISTINA XUONG · 2022 to 2024
$70k
NHLBI NIH HHS F31 HL165898NHLBI NIH HHS R01 HL163226NIA NIH HHS P01 AG020166NIA NIH HHS P01-AG020166NIA NIH HHS R01 AG056331NIA NIH HHS R43 AG056250NIA NIH HHS R44 AG056250NIA NIH HHS R56 AG065251NIA NIH HHS RF1 AG056331NIA NIH HHS U01 AG077928NIA NIH HHS U19 AG051426NIA NIH HHS U19-AG051426NIH HHS R43 AG056250
6 · The paper itself

Abstract

backgroundHaving multiple sleep problems is common in adulthood. Yet, most studies have assessed single sleep variables at one timepoint, potentially misinterpreting health consequences of co-occurring sleep problems that may change over time. We investigated the relationship between multidimensional sleep health across adulthood and mortality.

methodsParticipants from the Midlife in the United States Study reported sleep characteristics in 2004-2006 (MIDUS-2; M2) and in 2013-2014 (MIDUS-3; M3). We calculated a composite score of sleep health problems across 5 dimensions: Regularity, Satisfaction, Alertness, Efficiency, and Duration (higher = more problems). Two separate models for baseline sleep health (n = 5 140; median follow-up time = 15.3 years) and change in sleep health (n = 2 991; median follow-up time = 6.4 years) to mortality were conducted. Cox regression models controlled for sociodemographics and key health risk factors (body mass index, smoking, depressive symptoms, diabetes, and hypertension).

resultsOn average, 88% of the sample reported having one or more sleep health problems at M2. Each additional sleep health problem at M2 was associated with 12% greater risk of all-cause mortality (hazard ratio [HR] = 1.12, 95% confidence interval [CI] = 1.04-1.21), but not heart disease-related mortality (HR = 1.14, 95% CI = 0.99-1.31). An increase in sleep health problems from M2 to M3 was associated with 27% greater risk of all-cause mortality (HR = 1.27, 95% CI = 1.005-1.59), and 153% greater risk of heart disease mortality (HR = 2.53, 95% CI = 1.37-4.68).

conclusionsMore sleep health problems may increase the risk of early mortality. Sleep health in middle and older adulthood is a vital sign that can be assessed at medical checkups to identify those at greater risk.

Indexed as

HypertensionSleep Wake DisordersAgedHumansRisk FactorsSleepUnited StatesAgingCardiovascularHazard ratioMidlifeMortalitySleep health

Identifiers

PMID37950462
PMCPMC10876079

What OpenQuestion 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 OpenQuestion graph.