Evidence map›Paper›PMID 29298802›Full record

ArticleDiabetes care2018

Associations of General and Central Adiposity With Incident Diabetes in Chinese Men and Women.

Fiona Bragg, Kun Tang, Yu Guo, Andri Iona, Huaidong Du, Michael V Holmes, Zheng Bian, Christiana Kartsonaki, Yiping Chen, Ling Yang and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 pooled it
7.0field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 4 syntheses or guidelines pooled it, 104 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

18 authors at 7 institutions in 3 countries.

Fiona BraggClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K. fiona.bragg@ndph.ox.ac.uk zhengming.chen@ctsu.ox.ac.uk.ORCID 0000-0002-9181-6886
Kun TangDepartment of Global Health, School of Public Health, Peking University, Beijing, People's Republic of China.
Yu GuoChinese Academy of Medical Sciences, Beijing, People's Republic of China.
Andri IonaClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Michael V HolmesClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.ORCID 0000-0001-6617-0879
Zheng BianChinese Academy of Medical Sciences, Beijing, People's Republic of China.
Christiana KartsonakiClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Qiang SunPengzhou Centre for Disease Control and Prevention, Sichuan, People's Republic of China.
Caixia DongGansu Centre for Disease Control and Prevention, Gansu, People's Republic of China.
Junshi ChenNational Center for Food Safety Risk Assessment, Beijing, People's Republic of China.
Rory CollinsClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Richard PetoClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Liming LiChinese Academy of Medical Sciences, Beijing, People's Republic of China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, U.K. fiona.bragg@ndph.ox.ac.uk zhengming.chen@ctsu.ox.ac.uk.
China Kadoorie Biobank (CKB) Collaborative Group
Population Council · INUniversity of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNChina National Center for Food Safety Risk Assessment · CNGansu Provincial Center for Disease Control and Prevention · CNPeking University · CNSichuan Center for Disease Control and Prevention · CN

Funding

British Heart Foundation FS/18/23/33512Cancer Research UK A8760Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_12026/2Wellcome Trust 088158Wellcome Trust 088158/Z/09/ZWellcome Trust 104085Wellcome Trust 104085/Z/14/ZWellcome Trust 202922Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

objectiveWe assess associations of general and central adiposity in middle age and of young adulthood adiposity with incident diabetes in adult Chinese and estimate the associated population burden of diabetes. RESEARCH DESIGN AND

methodsThe prospective China Kadoorie Biobank enrolled 512,891 adults 30-79 years of age from 10 localities across China during 2004-2008. During 9.2 years of follow-up, 13,416 cases of diabetes were recorded among 482,589 participants without diabetes at baseline. Cox regression yielded adjusted hazard ratios (HRs) for incident diabetes associated with measures of general (e.g., BMI and BMI at 25 years) and central (e.g., waist circumference [WC]) adiposity.

resultsThe mean (SD) BMI was 23.6 kg/m

conclusionsAmong relatively lean Chinese adults, higher adiposity-general and central-was strongly positively associated with the risk of incident diabetes. The predicted continuing increase in adiposity in China foreshadows escalating rates of diabetes.

Indexed as

AdiposityAdultAgedAged, 80 and overAsian PeopleBody Mass IndexChinaDiabetes MellitusFemaleHumansMaleMiddle AgedObesityObesity, AbdominalProspective StudiesRisk Factors

Identifiers

PMID29298802
PMCPMC6548563
OpenAlexW2781777062

What OpenQuestion holds

Textmetadata
LicenceTDM
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.