Evidence map›Paper›PMID 33823052›Full record

SynthesisSleep2021

Meta-analysis of age and actigraphy-assessed sleep characteristics across the lifespan.

Marissa A Evans, Daniel J Buysse, Anna L Marsland, Aidan G C Wright, Jill Foust, Lucas W Carroll, Naina Kohli, Rishabh Mehra, Adam Jasper, Swathi Srinivasan and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. The choroid plexus water density.Magnetic resonance in medicine · 2026
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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

11 authors.

Marissa A EvansDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-9146-7890
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-3288-1864
Anna L MarslandDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA.
Aidan G C WrightDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA.
Jill FoustHealth Sciences Library System, University of Pittsburgh, Pittsburgh, PA.
Lucas W CarrollDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Naina KohliDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Rishabh MehraDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Adam JasperDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Swathi SrinivasanDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.
Martica H HallDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.

Funding

Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
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
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
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
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
Osteoporotic Fractures in Men_MrOS Renewal_BirminghamU01AG042140 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SHIKANY, JAMES M · 2013 to 2019
$2.7M
Outcomes of Sleep Disorders in Older Men-PortlandR01HL070838 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2003 to 2007
$1.8M
Outcomes of Sleep Disorders in Older MenR01HL070848 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BARRETT-CONNOR, ELIZABETH L · 2003 to 2007
$1.6M
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 HL071194NIAMS NIH HHS U01 AR066160NIA 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 U01 AG027810
6 · The paper itself

Abstract

STUDY

objectivesSleep quantity and continuity vary across the lifespan. Actigraphy is a reliable and widely used behavioral measure of sleep in research and personal health monitoring. This meta-analysis provides a novel examination of whether age (in years) is associated with actigraphy-assessed sleep across the lifespan.

methodsA systematic search of PubMed, Embase.com, Cochrane CENTRAL, and PsycINFO using "actigraphy" and "sleep" terms provided 7079 titles/abstracts; studies of individuals with known psychiatric or medical comorbidities were excluded. Ninety-one articles (N = 23 365) provided data for six meta-analyses examining sleep duration (k = 89), sleep efficiency (k = 58), bedtime (k = 19) and waketime (k = 9) for individuals ages 6-21, and bedtime (k = 7) and waketime (k = 7) for individuals ages 22 and older.

resultsAt older ages, sleep duration was shorter (r = -0.12) and sleep efficiency was lower (r = -0.05). Older age was associated with later bedtime (r = 0.37) and wake-up time (r = 0.24) from ages 6-21, whereas older age was associated with earlier bedtime (r = -0.66) and wake-up time (r = -0.59) for ages 22 and above. The strength of these associations was modified by study continent, but not by any other moderator.

conclusionsAge was negatively associated with actigraphy-assessed sleep duration and efficiency, but the effects were small in magnitude. On the other hand, large associations were observed between age and sleep timing, despite a smaller literature and the absence of analyzable data for ages 30-60. Changes in sleep timing, rather than changes in sleep duration or continuity, may better characterize the effects of age on human sleep.

Indexed as

ActigraphyLongevityAdolescentAdultAgedChildHumansMiddle AgedSleepSurveys and QuestionnairesTimeYoung Adultagemeta-analysissleep durationsleep efficiencysleep timing

Identifiers

PMID33823052
PMCPMC8436145

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.