Evidence map›Paper›PMID 33816064›Full record

ArticleCurrent sleep medicine reports2020

Role of Napping for Learning across the Lifespan.

Bethany J Jones, Rebecca M C Spencer

Open access · greenAbstract read
In one paragraph

Article in Current sleep medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. 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

2 authors at 1 institution in 1 country.

Bethany J JonesDepartment of Psychological & Brain Sciences, University of Massachusetts, Amherst, Amherst, Massachusetts, U.S.A.
Rebecca M C SpencerDepartment of Psychological & Brain Sciences, University of Massachusetts, Amherst, Amherst, Massachusetts, U.S.A.ORCID 0000-0002-8674-2384
Amherst College · US

Funding

The Benefits of Naps on Cognitive, Emotional and Motor Learning in PreschoolersR01HL111695 · NHLBI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI SPENCER, REBECCA M C · 2012 to 2020
$4.3M
What is sleep's role in Alzheimer's disease? Insight from healthy agingR01AG040133 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI SPENCER, REBECCA M C · 2012 to 2022
$4.2M
Hippocampal Development and Sleep-Dependent Memory Consolidation in PreschoolersR21HD094758 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI RIGGINS, TRACY L., SPENCER, REBECCA M C · 2018 to 2019
$423k
NHLBI NIH HHS R01 HL111695NIA NIH HHS R01 AG040133NICHD NIH HHS R21 HD094758
6 · The paper itself

Abstract

purpose of reviewNapping is a common behavior across age groups. While studies have shown a benefit of overnight sleep on memory consolidation, given differences in nap frequency, composition, and intent, it is important to consider whether naps serve a memory function across development and aging. RECENT

findingsWe review studies of the role of naps in declarative, emotional, and motor procedural memory consolidation across age groups. Recent findings in both developmental and aging populations find that naps benefit learning of many tasks but may require additional learning or sleep bouts compared to young adult populations. These studies have also identified variations in nap physiology based on the purpose of the nap, timing of the nap, or age. SUMMARY: These studies lend to our understanding of the function of sleep, and the potential for naps as an intervention for those with reduced nighttime sleep or learning impairments.

Indexed as

agingcognitiondevelopmentmemorynapssleep

Identifiers

PMID33816064
PMCPMC8011550
OpenAlexW3102034134

What OpenQuestion holds

Textmetadata
LicenceTDM
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.