Evidence map›Paper›PMID 31970429›Full record

ArticleDiabetologia2020

Red meat, poultry and fish consumption and risk of diabetes: a 9 year prospective cohort study of the China Kadoorie Biobank.

Huaidong Du, Yu Guo, Derrick A Bennett, Fiona Bragg, Zheng Bian, Mahmuda Chadni, Canqing Yu, Yiping Chen, Yunlong Tan, Iona Y Millwood and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
6.8field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  11. Metabolic diseases in the East Asian populations.Nature reviews. Gastroenterology & hepatology · 2025
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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

24 authors at 6 institutions in 2 countries.

Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK. huaidong.du@ndph.ox.ac.uk.ORCID https://orcid.org/0000-0002-9814-0049
Yu GuoChinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China. guoyu@kscdc.net.
Derrick A BennettClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Fiona BraggClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Zheng BianChinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China.
Mahmuda ChadniClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Canqing YuDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Yunlong TanChinese Academy of Medical Sciences, no. 9 Dong Dan San Tiao, Dong Cheng District, Beijing, 100730, China.
Iona Y MillwoodMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Wei GanWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Pang YaoClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Guojin LuoPengzhou CDC, Chengdu, Sichuan Province, China.
Jianguo LiPengzhou CDC, Chengdu, Sichuan Province, China.
Yulu QinNCDs Prevention and Control Department, Liuzhou CDC, Guangxi Autonomous Zone, China.
Jun LvDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China.
Xu LinCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
Tim KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Robert ClarkeClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
Liming LiDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Peking University, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
China Kadoorie Biobank collaborative group
University of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNCentre for Human Genetics · GBChengdu Center for Disease Control and Prevention · CNLiu Zhou Center for Disease Prevention and Control · CN

Funding

British Heart FoundationCancer Research UK 29186Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/ZWellcome Trust 202922/Z/16/ZWellcome Trust 205212/Z/16/ZWellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

aims/hypothesisPrevious evidence linking red meat consumption with diabetes risk mainly came from western countries, with little evidence from China, where patterns of meat consumption are different. Moreover, global evidence remains inconclusive about the associations of poultry and fish consumption with diabetes. Therefore we investigated the associations of red meat, poultry and fish intake with incidence of diabetes in a Chinese population.

methodsThe prospective China Kadoorie Biobank recruited ~512,000 adults (59% women, mean age 51 years) from ten rural and urban areas across China in 2004-2008. At the baseline survey, a validated interviewer-administered laptop-based questionnaire was used to collect information on the consumption frequency of major food groups including red meat, poultry, fish, fresh fruit and several others. During ~9 years of follow-up, 14,931 incidences of new-onset diabetes were recorded among 461,036 participants who had no prior diabetes, cardiovascular diseases or cancer at baseline. Cox regression analyses were performed to calculate adjusted HRs for incident diabetes associated with red meat, poultry and fish intake.

resultsAt baseline, 47.0%, 1.3% and 8.9% of participants reported a regular consumption (i.e. ≥4 days/week) of red meat, poultry and fish, respectively. After adjusting for adiposity and other potential confounders, each 50 g/day increase in red meat and fish intake was associated with 11% (HR 1.11 [95% CI 1.04, 1.20]) and 6% (HR 1.06 [95% CI 1.00, 1.13]) higher risk of incident diabetes, respectively. For both, the associations were more pronounced among men and women from urban areas, with an HR (95% CI) of 1.42 (1.15, 1.74) and 1.18 (1.03, 1.36), respectively, per 50 g/day red meat intake and 1.15 (1.02, 1.30) and 1.11 (1.01, 1.23), respectively, per 50 g/day fish intake. There was no significant association between diabetes and poultry intake, either overall (HR 0.96 [95% CI 0.83, 1.12] per 50 g/day intake) or in specific population subgroups. CONCLUSIONS/

interpretationIn Chinese adults, both red meat and fish, but not poultry, intake were positively associated with diabetes risk, particularly among urban participants. Our findings add new evidence linking red meat and fish intake with cardiometabolic diseases. DATA AVAILABILITY: Details of how to access the China Kadoorie Biobank data and rules of China Kadoorie Biobank data release are available from www.ckbiobank.org/site/Data+Access.

Indexed as

FishesPoultryRed MeatAdultAgedAnimalsBiological Specimen BanksChinaDiabetes MellitusFeeding BehaviorFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsBiobankChinaDiabetesFishPoultryProspective cohort studyRed meat

Identifiers

PMID31970429
PMCPMC7054352
OpenAlexW3002850170

What OpenQuestion holds

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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.