Evidence map›Paper›PMID 34780004›Full record

ArticleSleep & breathing = Schlaf & Atmung2022

Relationship between self-reported sleep duration during week-/work-days and metabolic syndrome from NHANES 2013 to 2016.

Xiaojie Feng, Wentao Wu, Fanfan Zhao, Xiang Li, Didi Han, Chengzhuo Li, Fengshuo Xu, Jun Lyu

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

8 authors.

Xiaojie Feng *Department of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China.
Wentao Wu *School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Fanfan ZhaoDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China.
Xiang LiSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China.
Chengzhuo LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China.
Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou, 510630, Guangdong, China. lyujun2020@jnu.edu.cn.ORCID 0000-0002-2237-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis research aimed at determining the relationship between self-reported sleep duration during week-/work-days and metabolic syndrome (MetS) from NHANES 2013 to 2016.

methodsThis study analyzed data from 11,181 people aged 16 or older who took part in the NHANES (National Health and Nutrition Examination Surveys) from 2013 to 2016. A standard questionnaire was used to define self-reported sleep duration, and MetS was defined on the basis of the NCEP (National Cholesterol Education Program)/ATP III revised diagnostic criteria. Logistic regression and restricted cubic splines (RCS) models were used to assess the relationship between self-reported sleep duration and MetS.

resultsThe overall prevalence of MetS in the study cohort was 26.1%, with 24.8% for males and 27.3% for females. After adjusting for potential confounding factors, MetS was significantly associated with self-reported short sleep duration (odds ratio = 1.16, 95% confidence interval = 1.03-1.31, P = 0.013) but not with long sleep duration (P = 0.117). RCS regression revealed that self-reported sleep duration was nonlinearly related to MetS (P for nonlinearity = 0.0026). The risk of MetS decreased with increased sleep duration for durations of less than 7 h/day, while there was no association for longer sleep durations.

conclusionThese results suggest that self-reported short sleep duration is a risk factor for MetS, while long sleep duration is not.

Indexed as

Metabolic SyndromeSleep Wake DisordersFemaleHumansMaleNutrition SurveysOdds RatioRisk FactorsSelf ReportSleepMetabolic syndromeNational Health and Nutrition Examination SurveyRestricted cubic splineSleep duration

Identifiers

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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.