Evidence map›Paper›PMID 40269887›Full record

ArticleBMC medicine2025

Longitudinal association of cumulative risk factors in early life, genetic risk, and healthy lifestyles during adulthood with the risk of type 2 diabetes.

Jiajin Hu, Honghao Yang, Yilin Liu, Lu Zheng, Xiaoyan Zhang, Jing Yang, Zhe Yang, Xiaochuan Wang, Borui Liu, Hong Cui and 2 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

12 authors.

Jiajin Hu *Health Sciences Institute, China Medical University, Shenyang, China.
Honghao Yang *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.
Yilin Liu *Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University No. 36, San Hao Street, Shenyang, 110004, Liaoning, China.
Lu ZhengHealth Sciences Institute, China Medical University, Shenyang, China.
Xiaoyan ZhangHealth Sciences Institute, China Medical University, Shenyang, China.
Jing YangHealth Sciences Institute, China Medical University, Shenyang, China.
Zhe YangHealth Sciences Institute, China Medical University, Shenyang, China.
Xiaochuan WangHealth Sciences Institute, China Medical University, Shenyang, China.
Borui LiuHealth Sciences Institute, China Medical University, Shenyang, China.
Hong CuiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University No. 36, San Hao Street, Shenyang, 110004, Liaoning, China. doctorcuihong@126.com.
Izzuddin M ArisDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East Boston, Boston, MA, 02215, USA. izzuddin_aris@harvardpilgrim.org.
Yang XiaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, No. 36, San Hao Street, Shenyang, 110004, Liaoning, China. xytmu507@126.com.

Funding

National Natural Science Foundation of China 82103860The Liaoning Revitalization Talents Program XLYC2203168The Scientific Research Project of the Liaoning Province Education Department JYTQN2023035The Scientific Research Project of the Liaoning Province Education Department LJKMZ20221149Young Elite Scientists Sponsorship Program by China Association for Science and Technology 2020QNRC001
6 · The paper itself

Abstract

backgroundThe combined influence of early life risk factors on the type 2 diabetes (T2D) development is not well-studied, and it is unclear whether these associations can by modified by genetic risk and healthy lifestyles in later life.

methodsWe studied 148,621 participants in the UK Biobank. We calculated early-life risk scores (ERS) by summing the cumulative number of three early-life risk factors: low birth weight, maternal smoking during pregnancy, and non-breastfed as a baby. We estimated polygenic risk scores (PRS) for T2D and calculated participants' modifiable healthy lifestyle score (MHS) during adulthood.

resultsA total of 7,408 incident T2D were identified. ERS showed a positive dose-response association with T2D risk. Compared with participants with 0 ERS, those with 3 ERS had the highest risk of developing T2D (hazard ratio [HR]: 1.93; 95% confidence interval [CI]: 1.65, 2.26). This association was not modified by T2D-PRS or MHS. In the joint exposure analyses, compared with participants with the lowest risk exposure (i.e., lowest ERS combined with lowest T2D-PRS/healthy lifestyle in later life), we observed highest risk of T2D among individuals with the highest ERS combined with the highest tertile of T2D-PRS (HR = 6.67, 95% CI: 5.43, 8.20) or an unhealthy lifestyle in later life (HR = 4.99, 95% CI: 3.54, 7.02), respectively.

conclusionsEarly-life risk factors are associated with a higher risk of T2D in a dose-response manner, regardless of genetic risk or later-life healthy lifestyle. Therefore, identifying early-life modifiable risk factors is helpful to develop strategies of T2D prevention.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHealthy LifestyleAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPregnancyRisk FactorsSmokingUnited KingdomDose ResponseEarly Childhood Risk FactorsGenetic PredispositionHealthy LifestyleType 2 Diabetes

Identifiers

PMID40269887
PMCPMC12020231

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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.