Evidence map›Paper›PMID 35037946›Full record

ArticleSleep2022

Actigraphy-derived sleep health profiles and mortality in older men and women.

Meredith L Wallace, Soomi Lee, Katie L Stone, Martica H Hall, Stephen F Smagula, Susan Redline, Kristine Ensrud, Sonia Ancoli-Israel, Daniel J Buysse

Open access · bronzeAbstract read
In one paragraph

Article in Sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  10. The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

9 authors at 6 institutions in 1 country.

Meredith L WallaceDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-3951-890X
Soomi LeeSchool of Aging Studies, College of Behavioral and Community Sciences, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-7623-3770
Katie L StoneCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.ORCID 0000-0003-2797-3171
Martica H HallDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-0642-2098
Stephen F SmagulaDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Susan RedlineDepartment of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Kristine EnsrudDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-9069-3036
Sonia Ancoli-IsraelDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3288-1864
University of Pittsburgh · USBrigham and Women's Hospital · USCalifornia Pacific Medical Center · USUniversity of California San Diego · USUniversity of Minnesota · USUniversity of South Florida · US

Funding

Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
Outcomes of Sleep Disorders in Older MenR01HL071194 · NHLBI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI STONE, KATIE L · 2003 to 2013
$12.2M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
Changes in Sleep and Cognition in Older WomenR01AG026720 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI STONE, KATIE L, YAFFE, KRISTINE · 2006 to 2016
$7.5M
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Study of Osteoporotic FracturesR01AG005394 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ENSRUD, KRISTINE · 1986 to 2015
$6.1M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
STUDY OF OSTEOPOROTIC FRACTURES: VERTEBRAL FRACTURESR01AR035583 · NIAMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 1986 to 2005
$3.2M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
NCATS NIH HHS UL1 TR000128NHLBI NIH HHS R01 HL070837NHLBI NIH HHS R01 HL070838NHLBI NIH HHS R01 HL070839NHLBI NIH HHS R01 HL070841NHLBI NIH HHS R01 HL070842NHLBI NIH HHS R01 HL070847NHLBI NIH HHS R01 HL070848NHLBI NIH HHS R01 HL071194NHLBI NIH HHS R35 HL135818NIAMS NIH HHSNIAMS NIH HHS R01 AR035582NIAMS NIH HHS R01 AR035583NIAMS NIH HHS R01 AR035584NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG005394NIA NIH HHS R01 AG005407NIA NIH HHS R01 AG026720NIA NIH HHS R01 AG027574NIA NIH HHS R01 AG027576NIA NIH HHS R01 AG056331NIA NIH HHS R56 AG065251NIA NIH HHS RF1 AG056331NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042143NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NIH HHS R01AG056331NIMH NIH HHS K01 MH112683
6 · The paper itself

Abstract

STUDY

objectivesTo identify actigraphy sleep health profiles in older men (Osteoporotic Fractures in Men Study; N = 2640) and women (Study of Osteoporotic Fractures; N = 2430), and to determine whether profile predicts mortality.

methodsWe applied a novel and flexible clustering approach (Multiple Coalesced Generalized Hyperbolic mixture modeling) to identify sleep health profiles based on actigraphy midpoint timing, midpoint variability, sleep interval length, maintenance, and napping/inactivity. Adjusted Cox models were used to determine whether profile predicts time to all-cause mortality.

resultsWe identified similar profiles in men and women: High Sleep Propensity [HSP] (20% of women; 39% of men; high napping and high maintenance); Adequate Sleep [AS] (74% of women; 31% of men; typical actigraphy levels); and Inadequate Sleep [IS] (6% of women; 30% of men; low maintenance and late/variable midpoint). In women, IS was associated with increased mortality risk (Hazard Ratio [HR] = 1.59 for IS vs. AS; 1.75 for IS vs. HSP). In men, AS and IS were associated with increased mortality risk (1.19 for IS vs. HSP; 1.22 for AS vs. HSP).

conclusionsThese findings suggest several considerations for sleep-related interventions in older adults. Low maintenance with late/variable midpoint is associated with increased mortality risk and may constitute a specific target for sleep health interventions. High napping/inactivity co-occurs with high sleep maintenance in some older adults. Although high napping/inactivity is typically considered a risk factor for deleterious health outcomes, our findings suggest that it may not increase risk when it occurs in combination with high sleep maintenance.

Indexed as

ActigraphyOsteoporotic FracturesAgedFemaleHumansMaleRisk FactorsSleepSleep Deprivationactigraphyclusteringmixture modelmortalityolder adultskewed datasleep health

Identifiers

PMID35037946
PMCPMC8996026
OpenAlexW4205277693

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.