Evidence map›Paper›PMID 34639473›Full record

ArticleInternational journal of environmental research and public health2021

Sleep Health Characteristics among Adults Who Attempted Weight Loss in the Past Year: NHANES 2017-2018.

Marquis S Hawkins, Michele D Levine, Daniel J Buysse, Kaleab Z Abebe, Wei-Hsin Hsiao, Kathleen M McTigue, Esa M Davis

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Conceptualizing Sleep Satisfaction: A Rapid Review.Behavioral sciences (Basel, Switzerland) · 2024
    Review
  9. Review
  10. 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

7 authors.

Marquis S HawkinsDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Michele D LevineDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Kaleab Z AbebeDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Wei-Hsin HsiaoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Kathleen M McTigueDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Esa M DavisDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to characterize sleep health in adults who attempted weight loss in the prior year.

methodsWe analyzed data from the National Health and Nutrition Examination Survey 2017-2018 exam cycle. We included 4837 US adults who did (

resultsOn average, participants reported good sleep health in 3.21 ± 1.14 out of the five sleep domains. A total of 13% of participants had good sleep health in all five domains. The prevalence of sleep regularity (52%) was lowest, and the prevalence of infrequent sleepiness was highest (72%), relative to other sleep domains. In models adjusting for BMI, sleep health was similar in participants who did and did not attempt weight loss. Among adults who attempted weight loss, good sleep health was inversely associated with current BMI and self-reported weight change. DISCUSSION: This study's findings highlight the importance of considering sleep health when engaging with adults attempting weight loss.

Indexed as

ObesityWeight LossAdultBody Mass IndexHumansNutrition SurveysSleepobesitysleep healthsurveillanceweight loss

Identifiers

PMID34639473
PMCPMC8507873

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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.