Evidence map›Paper›PMID 30402777›Full record

ArticleSleep & breathing = Schlaf & Atmung2019

Associations between objectively assessed physical fitness levels and sleep quality in community-dwelling elderly people in South China.

Xin Peng, Nan Liu, XiaoXia Zhang, XinYu Bao, YiXian Xie, JunXuan Huang, PeiXi Wang, QingFeng Du

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Article in Sleep & breathing = Schlaf & Atmung, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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.

Xin PengDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
Nan LiuDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
XiaoXia ZhangDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
XinYu BaoDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
YiXian XieDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
JunXuan HuangDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China.
PeiXi WangDepartment of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, People's Republic of China. peixi001@163.com.ORCID http://orcid.org/0000-0001-5177-1479
QingFeng DuGeneral Practice Center, Nanhai Hospital, Southern Medical University, Foshan, 528244, People's Republic of China. nhyyqk@126.com.

Funding

Guangzhou Medical University 201607010136Guangzhou Medical University GZRSH-2014-2048Key Projects of Guangzhou Science and Technology Program 201704020056National Natural Science Foundation of China 81872584
6 · The paper itself

Abstract

purposeThe aim of this study was to explore associations between objectively assessed physical fitness levels and sleep quality in community-dwelling elderly people in South China.

methodsOne thousand one hundred thirty-six (504 males and 632 females) community-dwelling adults aged ≥ 50 years old in Dongguan City, South China, were included in the cross-sectional study. All the participants were asked to complete all prepared multi-instrument questionnaire, including the Pittsburgh Sleep Quality Index (Chinese version), for the assessment of the sleep quality and information regarding socio-demographic characteristics, lifestyle, and physical health data. Physical fitness was measured by grip strength, one-leg standing test (OLST) with eyes open, back scratch test, and the forced vital capacity (FVC).

resultsThe percentage of poor sleep quality among elderly people (≥ 50 years old) was up to 18.2%. Lower FVC was associated with the poorer sleep quality (adjusted OR = 0.74 per SD increase; P = 0.009), and participants with lower performance in back scratch test were more likely to suffer poor sleep quality (adjusted OR = 1.17 per SD increase; P = 0.035). The independent contribution of physical fitness tests results on the risk of poor sleep quality was 22.1%.

conclusionsOur results indicated that sleep quality was strongly associated with physical fitness among community-dwelling elderly people; the lower of the physical fitness predicted poorer sleep quality.

Indexed as

Independent LivingPhysical FitnessSleepAdultAgedAged, 80 and overChinaCorrelation of DataFemaleHumansMaleMiddle AgedPrevalenceSleep Apnea, ObstructiveSmokingStatistics, NonparametricCross-sectional studyPhysical fitnessPittsburgh Sleep Quality IndexSleep quality

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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.