Evidence map›Paper›PMID 31444181›Full record

ArticleBMJ open2019

Physical activity, sedentary time and their associations with clustered metabolic risk among people with type 2 diabetes in Jiangsu province: a cross-sectional study.

Yijia Chen, Jie Yang, Jian Su, Yu Qin, Chong Shen, Ying Li, Shurong Lu, Enchun Pan, Yan Gao, Dandan Miao and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 16 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

13 authors at 3 institutions in 1 country.

Yijia Chen *Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Jie Yang *Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
Jian SuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
Yu QinDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
Chong ShenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Ying LiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Shurong LuDepartment of Non-communicable Chronic Disease Control, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
Enchun PanDepartment of Chronic Disease Prevention and Control, Huai'an Center for Disease Control and Prevention, Huai'an, China.
Yan GaoInstitute of Suzhou Biobank, Suzhou Center for Disease Control and Prevention, Suzhou, China.
Dandan MiaoDepartment of Chronic Disease Prevention and Control, Huai'an Center for Disease Control and Prevention, Huai'an, China.
Ning ZhangChangshu Center for Disease Control and Prevention, Changshu, China.
Jinyi ZhouDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Ming WuDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China jswuming@vip.sina.com.
Jiangsu Provincial Center for Disease Control and Prevention · CNSoutheast University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInvestigating the association between total physical activity, physical activity in different domains and sedentary time with clustered metabolic risk in patients with type 2 diabetes from Jiangsu province, China.

designInterview-based cross-sectional study conducted between December 2013 and January 2014.

setting44 selected townships across two cities, Changshu and Huai'an, in Jiangsu province.

participants20 340 participants selected using stratified cluster-randomised sampling and an interviewer-managed questionnaire.

methodsWe constructed clustered metabolic risk by summing sex-specific standardised values of waist circumference, fasting triacylglycerol, fasting plasma glucose, systolic blood pressure and the inverse of blood high-density lipoprotein cholesterol (HDL-cholesterol). Self-reported total physical activity included occupation, commuting and leisure-time physical activity. The un-standardised regression coefficient [B] and its 95% CI were calculated using multivariate linear regression analyses.

resultsThis study included 17 750 type 2 diabetes patients (aged 21-94 years, 60.3% female). The total (B=-0.080; 95% CI: -0.114 to -0.046), occupational (B=-0.066; 95% CI: -0.101 to- 0.031) and leisure-time physical activity (B=-0.041; 95% CI: -0.075 to -0.007), and sedentary time (B=0.117; 95% CI: 0.083 to 0.151) were associated with clustered metabolic risk. Total physical activity, occupational physical activity and sedentary time were associated with waist circumference, triacylglycerol and HDL-cholesterol, but not with systolic blood pressure. Commuting physical activity and sedentary time were significantly associated with triacylglycerol (B=-0.012; 95% CI: -0.019 to -0.005) and fasting plasma glucose (B=0.008; 95% CI: 0.003 to 0.01), respectively. Leisure-time physical activity was only significantly associated with systolic blood pressure (B=-0.239; 95% CI: -0.542 to- 0.045).

conclusionsTotal, occupational and leisure-time physical activity were inversely associated with clustered metabolic risk, whereas sedentary time increased metabolic risk. Commuting physical activity was inversely associated with triacylglycerol. These findings suggest that increased physical activity in different domains and decreased sedentary time may have protective effects against metabolic risk in type 2 diabetes patients.

Indexed as

ExerciseLeisure ActivitiesSedentary BehaviorAgedChinaCluster AnalysisCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansLinear ModelsMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisRisk Factorscross-sectional studymetabolic riskphysical activitysedentary timetype 2 diabetes

Identifiers

PMID31444181
PMCPMC6707692
OpenAlexW2969380163

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.