Evidence map›Paper›PMID 35429087›Full record

ReviewJournal of sleep research2022

The multidimensionality of sleep in population-based samples: a narrative review.

Sterre C N van de Langenberg, Desana Kocevska, Annemarie I Luik

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of sleep research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.0field-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

25 citing papers in PubMed, 48 citations in OpenAlex.

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  20. Longitudinal Associations Between Sleep and Cognitive Function in a Cohort of Older Puerto Rican Adults: Sex and Age Interactions.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
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

3 authors at 2 institutions in 1 country.

Sterre C N van de LangenbergDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Desana KocevskaDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Annemarie I LuikDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0001-7517-197X
Erasmus MC · NLNetherlands Institute for Neuroscience · NL

Funding

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
NIA NIH HHS RF1 AG056331
6 · The paper itself

Abstract

The identification of optimal sleep duration recommendations for the general population has long been an important goal on the public health agenda, as both short and long sleep duration have been linked to unfavourable health outcomes. Yet, sleep is more than duration alone and can be described across multiple domains, such as timing, regularity, satisfaction, alertness, and efficiency. We reviewed observational population-based studies that examined differences in age, sex, and origin across multiple dimensions of sleep. Reviewed literature suggests an increasing prevalence of insomnia symptoms, shorter and less deep sleep in old age. Overall, women report poorer sleep quality than men despite objective measures revealing shorter and more fragmented sleep in men. Minorities generally have poorer quantity and quality of sleep, but multi-ethnic studies have reported mixed results regarding the subjective experience of sleep. In sum, effects of age, sex and origin differ across sleep dimensions, thereby suggesting that the multidimensionality of sleep and how these different aspects interact should be studied across individuals. Studies should include both self-reported measures and objective assessments in diverse population-based samples, as both aspects are important to understand sleep health in the general population. Data-driven descriptions could provide researchers and clinicians with insights into how well individuals are sleeping and offer concrete targets for promotion of sleep health across the population.

Indexed as

ActigraphySleep Initiation and Maintenance DisordersEthnicityFemaleHumansMaleSelf ReportSleepactigraphyethnicitynappingpolysomnography

Identifiers

PMID35429087
PMCPMC9339471
OpenAlexW4223969682

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.