Evidence map›Paper›PMID 35546663›Full record

ArticleBMC geriatrics2022

Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a cross-sectional study.

Xin Liu, Limei Huang, Qiang Wu, Yingwei Chen, Xiuqin Chen, Hao Chen, Junling Gao, Qianyi Xiao

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. 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

8 authors at 3 institutions in 2 countries.

Xin Liu *Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Limei Huang *Songjiang Center of Disease Prevention and Control, Shanghai, 201620, China.
Qiang WuSongjiang District Xinqiao Town Community Health Service Center, Shanghai, 201600, China.
Yingwei ChenDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Xiuqin ChenSongjiang Center of Disease Prevention and Control, Shanghai, 201620, China.
Hao ChenDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Junling GaoDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China. jlgao@fudan.edu.cn.
Qianyi XiaoDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China. xiaoqianyi@fudan.edu.cn.
Fudan University · CNSongjiang District Central Hospital · CNCommunity Health Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic Syndrome (MetS) is a common health problem among older adults. Previous studies have revealed the relationship between sleep duration as well as global sleep status and MetS.

objectivesThis study aims to examine the association between the specific sleep characteristic and MetS as well as MetS components among community-dwelling old adults.

methodsThis cross-sectional study included 1499 community residents aged ≥ 60 years. Sleep characteristics were assessed using the Pittsburgh Sleep Quality Index (PSQI) and bed/rise time of the residents. Logistic regression analysis and multiple linear regression analysis were used to examine the associations between sleep characteristics and MetS as well as MetS components. A generalized additive model was built to assess the smooth relationship between triglyceride (TG) levels and sleep duration.

resultsOf the 1499 participants, 449 (30.0%) had MetS, and 443 (29.6%) had poor sleep quality. The rise time was found to be associated with MetS (> 6:00 vs. 5:00 ~ 6:00: adjusted OR (95%) = 1.77 (1.17-2.69), P = 0.007). For the MetS components, a U-shaped relationship was first revealed for sleep duration and TG levels (EDF = 1.85, P < 0.001). Furthermore, significant associations also included the associations of subjective sleep quality and daytime dysfunction with hypertension, the associations of sleep efficiency and rise time with hyperglycemia, the associations of rise time with TG levels, and the association of bedtime with waist circumference.

conclusionsThe different sleep characteristics were associated with different MetS components.

Indexed as

Metabolic SyndromeAgedCross-Sectional StudiesHumansRisk FactorsSleepWaist CircumferenceMetabolic syndromeOlder adultsPittsburgh Sleep Quality IndexRise timeSleep characteristic

Identifiers

PMID35546663
PMCPMC9097235
OpenAlexW4280522275

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.