Evidence map›Paper›PMID 34729674›Full record

ArticleSleep & breathing = Schlaf & Atmung2022

Nighttime sleep duration, daytime napping, and metabolic syndrome: findings from the China Health and Retirement Longitudinal Study.

Wei Li, Anthony J Kondracki, Ning Sun, Prem Gautam, Mohammad Ebrahimi Kalan, Rime Jebai, Semiu O Gbadamosi, Wenjie Sun

Abstract read
PubMed Publisher
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Wei LiDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA. wli034@fiu.edu.ORCID 0000-0001-7530-3485
Anthony J KondrackiSchool of Medicine, Department of Community Medicine, Mercer University, Savannah, GA, USA.
Ning SunDepartment of Biostatistics, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Prem GautamDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA.
Mohammad Ebrahimi KalanSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rime JebaiDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA.
Semiu O GbadamosiDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA.
Wenjie SunThe Second Affiliated Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, , Fujian Province, China. wsun3@tulane.edu.
Florida International University · USMercer University · USTulane University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to assess the association between nighttime sleep, daytime napping, and metabolic syndrome (MetS) in an elderly Chinese population.

methodsA cross-sectional study was conducted using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS) to examine the association between nighttime sleep, daytime napping, and MetS (defined according to the Chinese Diabetes Society criteria). Sleep duration was assessed by a self-reported questionnaire. Binary logistic regression models were used to estimate odds ratios and 95% confidence intervals of the associations adjusting for covariates.

resultsAmong 4785 elderly Chinese aged over 65 years old, there was no association between short-time sleep duration (< 7 h/day) and MetS. However, long-time sleep duration (> 8 h/day) decreased the odds of MetS by 53% (aOR= 0.47; 95% CI 0.23-0.96) compared to normal sleep duration (7-8 h/day). Compared to no daytime napping, short-time napping (≤ 30 min/day) was associated with increased odds of MetS (aOR = 1.55, 95% CI 1.02-2.36) and long-time napping (> 30 min/day) was associated with even higher odds of MetS (aOR = 1.77, 95%CI 1.24-2.53). Individuals who were over 75 years old, with elementary school education, and good health status had lower odds of MetS, while women, individuals living in rural areas, and those who reported poor health status had higher odds of MetS.

conclusionLong-time sleep duration decreased and daytime napping increased the risk of MetS among the elderly Chinese population. We speculate that increasing nighttime sleep duration and decreasing daytime napping may help reduce the risk of MetS.

Indexed as

Metabolic SyndromeAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesRetirementRisk FactorsSleepAging ChineseMetabolic syndrome (MetS)NapSleep duration

Identifiers

PMID34729674
OpenAlexW3210083939

What OpenQuestion holds

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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.