Evidence map›Paper›PMID 28064359›Full record

ArticleDiabetologia2017

Season of birth and the risk of type 2 diabetes in adulthood: a prospective cohort study of 0.5 million Chinese adults.

Jiahui Si, Canqing Yu, Yu Guo, Zheng Bian, Xia Li, Ling Yang, Yiping Chen, Huarong Sun, Bo Yu, Junshi Chen and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 18 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

14 authors at 4 institutions in 2 countries.

Jiahui SiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China.
Yu GuoChinese Academy of Medical Sciences, Beijing, People's Republic of China.
Zheng BianChinese Academy of Medical Sciences, Beijing, People's Republic of China.
Xia LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huarong SunNCDs Prevention and Control Department, Huixian Center for Disease Control and Prevention, Xinxiang, Henan, People's Republic of China.
Bo YuNCDs Prevention and Control Department, Nangang Center for Disease Control and Prevention, Harbin, Heilongjiang, People's Republic of China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, People's Republic of China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. lvjun@bjmu.edu.cn.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. lmlee@vip.163.com.
China Kadoorie Biobank Collaborative Group
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNUniversity of Oxford · GBChinese Center For Disease Control and Prevention · CN

Funding

Cancer 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 202922
6 · The paper itself

Abstract

aims/hypothesisSeason of birth as a surrogate for potential environmental exposure during fetal development and early postnatal life has shown an inconsistent association with adult type 2 diabetes in white populations living in high-latitude regions. The present study aimed to examine the association between birth seasonality and risk of adult type 2 diabetes in Chinese individuals living across wide regions of low latitude and lower to middle latitude.

methodsParticipants from the China Kadoorie Biobank were enrolled during 2004-2008 and followed up until 31 December 2013. After excluding participants with cancer, heart disease, stroke and diabetes at baseline, the present study included 189,153 men and 272,058 women aged 30-79 years. We used multivariable Cox proportional hazards model to estimate the HR and 95% CI.

resultsDuring a median follow-up of 7.2 years (3.3 million person-years), we documented 8784 incident cases of type 2 diabetes. In the whole cohort, compared with summer-born participants, the adjusted HRs (95% CIs) were 1.09 (1.02, 1.16), 1.08 (1.02, 1.15) and 1.09 (1.02, 1.15) for those who were born in Spring, Autumn and Winter, respectively. The association was consistent in both men and women and across subgroups defined by residence and lifestyle factors later in life. CONCLUSIONS/

interpretationIn this large prospective study, participants born in summer had a lower risk of adult type 2 diabetes compared with other seasons of birth, suggesting exposures in early life with some degree of seasonal variation might influence the risk of adult diabetes.

Indexed as

SeasonsAdultAgedAsian PeopleChinaDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsProspective StudiesRisk FactorsWaist CircumferenceFetal developmentSeasonsType 2 diabetes

Identifiers

PMID28064359
PMCPMC6521727
OpenAlexW2569196375

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.