Evidence map›Paper›PMID 31019977›Full record

ArticleJournal of diabetes research2019

Association between Duration of Exercise (MET Hours per Week) and the Risk of Decreased eGFR: A Cross-Sectional Study Based on a Large Chinese Population.

Jie Wang, Yijun Li, Kang Chen, Wenhua Yan, Anping Wang, Weiqing Wang, Zhengnan Gao, Xulei Tang, Li Yan, Qin Wan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  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

14 authors at 10 institutions in 1 country.

Jie WangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-4706-0302
Yijun LiDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Kang ChenDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Wenhua YanDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Anping WangDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Weiqing WangShanghai National Research Centre for Endocrine and Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhengnan GaoDalian Central Hospital, Dalian, Liaoning, China.ORCID 0000-0002-0077-8758
Xulei TangFirst Hospital of Lanzhou University, Lanzhou, Gansu, China.
Li YanZhongshan University Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China.
Qin WanSouthwest Medical University Affiliated Hospital, Luzhou, Sichuan, China.ORCID 0000-0002-8684-6888
Zuojie LuoFirst Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.ORCID 0000-0001-5477-3365
Guijun QinFirst Affiliated Hospital of Zhengzhou University, Zhenzhou, Henan, China.ORCID 0000-0002-8612-6274
Lulu ChenWuhan Union Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0001-9621-9231
Yiming MuDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0002-3344-3540
Chinese PLA General Hospital · CNNankai University · CNAffiliated Hospital of Southwest Medical University · CNDalian Municipal Central Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNFirst Hospital of Lanzhou University · CNGuangxi Medical University · CNRuijin Hospital · CNSun Yat-sen University · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity is effective in preventing chronic diseases. However, the impact of different durations of exercise on human health is unknown, especially among people with diabetes or prediabetes.

objectiveTo explore the relationship between high MET hours per week and the change in glomerular filtration rate (eGFR) in the total population and different subgroups.

methodsA total of 43767 individuals from eight provinces, in China, were recruited. Logistic analysis was used to investigate the association. Participants were divided into 3 groups based on MET hours per week. The primary outcome was an eGFR ≤ 90 mL/min/1.73 m

resultsThe average eGFR was 100.10 (92.43-106.43) mL/min/1.73

conclusionsMore than 7.5 MET hours per week (equivalent to more than 150 minutes per week or 60 minutes per day of moderate-intensity exercise) was associated with decreased eGFR among participants aged from 55 to less than 65 years and participants without diabetes and prediabetes, but not among participants aged younger than 55 years and older than 65 years and participants with diabetes or prediabetes. The importance of planning individualized physical activities is highlighted.

Indexed as

AdultAgedAge FactorsChinaCross-Sectional StudiesDiabetes MellitusExerciseFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedPrediabetic State

Identifiers

PMID31019977
PMCPMC6451799
OpenAlexW2925282870

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.