Evidence map›Paper›PMID 38693044›Full record

ArticleSleep health2024

Sleep-wake behaviors associated with cognitive performance in middle-aged participants of the Hispanic Community Health Study/Study of Latinos.

Stephen F Smagula, Gehui Zhang, Robert T Krafty, Alberto Ramos, Daniela Sotres-Alvarez, Juleen Rodakowski, Linda C Gallo, Melissa Lamar, Swathi Gujral, Dorothee Fischer and 6 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep 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
1.5field-weighted citation impact, top 18% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. Associations Between Measures of Sleep Health and Cognitive Function in Older Adults.medRxiv : the preprint server for health sciences · 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

16 authors at 12 institutions in 2 countries.

Stephen F SmagulaDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. Electronic address: smagulasf@upmc.edu.
Gehui ZhangDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Robert T KraftyDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Alberto RamosDepartment of Neurology, University of Miami, Miller School of Medicine, Miami, Florida, USA.
Daniela Sotres-AlvarezDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Juleen RodakowskiDepartment of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Linda C GalloDepartment of Psychology, University of California San Diego, San Diego, California, USA.
Melissa LamarInstitute of Minority Health Research, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Swathi GujralDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Dorothee FischerDepartment of Sleep and Human Factors Research, Institute for Aerospace Medicine, German Aerospace Center, Cologne, Germany.
Wassim TarrafInstitute of Gerontology, Wayne State University, Detroit, Michigan, USA.
Yasmin Mossavar-RahmaniDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, New York, New York, USA.
Susan RedlineDivision of Sleep Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA.
Katie L StoneCalifornia Pacific Medical Center Research Institute, San Francisco, California, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Hector M GonzalezDepartment of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, UC San Diego, San Diego, California, USA.
Sanjay R PatelDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USAlbert Einstein College of Medicine · USDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEEmory University · USFleet Science Center · USHarvard University · USRush University Medical Center · USUniversity of California San Diego · USUniversity of California, San Francisco · USUniversity of Miami · USUniversity of North Carolina at Chapel Hill · USWayne State University · US

Funding

UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUERRY Marie PEAVY · 2019 to 2026
$34.9M
Study of Latinos-Investigation of Neurocognitive Aging-Alzheimer's diseaseR01AG075758 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Charles DeCarli, Hector M Gonzalez · 2022 to 2026
$21.7M
MRI Measures of Cerebrovascular Injury and AD Atrophy in a Study of LatinosRF1AG054548 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES, GONZALEZ, HECTOR M · 2017 to 2017
$14.7M
Study of Latinos Investigation of Neurocognitive Aging 2R56AG048642 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DECARLI, CHARLES, GONZALEZ, HECTOR M · 2020 to 2021
$8.7M
Neurocognitive aging, MCI and Alzheimer's disease DNA methylation among diverse LatinosRF1AG061022 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FORNAGE, MYRIAM, GONZALEZ, HECTOR M · 2019 to 2019
$6.6M
Culturally relevant contributors to cognitive and MRI changes in older LatinosR01AG062711 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LAMAR, MELISSA · 2020 to 2025
$3.6M
Sleep Patterns as a risk factor for disease in the Hispanic Community Health StudR01HL098297 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI PATEL, SANJAY R · 2010 to 2013
$3.1M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
Aerobic Exercise for Optimizing Cognitive and Brain Health In Remitted Late-Life DepressionK23MH125074 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GUJRAL, SWATHI · 2021 to 2025
$828k
Combining information from multiple circadian activity rhythm metrics to optimally detect mild cognitive impairment using a consumer wearableR21AG074094 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMAGULA, STEPHEN F · 2021 to 2022
$439k
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHGRI NIH HHS HHSN268201300003CNHLBI NIH HHS HHSN268201300001CNHLBI NIH HHS HHSN268201300003INHLBI NIH HHS HHSN268201300004CNHLBI NIH HHS HHSN268201300005CNHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL098297NIA NIH HHS P30 AG062429NIA NIH HHS R01 AG062711NIA NIH HHS R01 AG075758NIA NIH HHS R21 AG074094NIA NIH HHS R56 AG048642NIA NIH HHS RF1 AG054548NIA NIH HHS RF1 AG061022NIMH NIH HHS K23 MH125074
6 · The paper itself

Abstract

objectivesMany sleep-wake behaviors have been associated with cognition. We examined a panel of sleep-wake/activity characteristics to determine which are most robustly related to having low cognitive performance in midlife. Secondarily, we evaluate the predictive utility of sleep-wake measures to screen for low cognitive performance.

methodsThe outcome was low cognitive performance defined as being >1 standard deviation below average age/sex/education internally normalized composite cognitive performance levels assessed in the Hispanic Community Health Study/Study of Latinos. Analyses included 1006 individuals who had sufficient sleep-wake measurements about 2years later (mean age=54.9, standard deviation= 5.1; 68.82% female). We evaluated associations of 31 sleep-wake variables with low cognitive performance using separate logistic regressions.

resultsIn individual models, the strongest sleep-wake correlates of low cognitive performance were measures of weaker and unstable 24-hour rhythms; greater 24-hour fragmentation; longer time-in-bed; and lower rhythm amplitude. One standard deviation worse on these sleep-wake factors was associated with ∼20%-30% greater odds of having low cognitive performance. In an internally cross-validated prediction model, the independent correlates of low cognitive performance were: lower Sleep Regularity Index scores; lower pseudo-F statistics (modellability of 24-hour rhythms); lower activity rhythm amplitude; and greater time in bed. Area under the curve was low/moderate (64%) indicating poor predictive utility.

conclusionThe strongest sleep-wake behavioral correlates of low cognitive performance were measures of longer time-in-bed and irregular/weak rhythms. These sleep-wake assessments were not useful to identify previous low cognitive performance. Given their potential modifiability, experimental trials could test if targeting midlife time-in-bed and/or irregular rhythms influences cognition.

Indexed as

CognitionHispanic or LatinoSleepCircadian RhythmFemaleHumansMaleMiddle AgedWakefulnessCognitive agingCognitive performanceHispanic/LatinoSleepSleep-wake rhythms

Identifiers

PMID38693044
PMCPMC11309910
OpenAlexW4396554050

What OpenQuestion holds

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Registered trials

None linked

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.