Evidence map›Paper›PMID 38288476›Full record

ArticleFrontiers in endocrinology2023

The impact of age-specific childhood body-mass index on adult cardiometabolic traits: a Mendelian randomization study.

Jun Yang, Yalan Kuang, Xiaoyan Yang, Chunyang Li, Mei Qi, Ping Fu, Xiaoxi Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 2 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

7 authors at 3 institutions in 1 country.

Jun YangDepartment of Mathematics, Med-X Center for Informatics, Sichuan University, Chengdu, China.
Yalan KuangWest China Biomedical Big Data Center, West China Hospital, Chengdu, China.
Xiaoyan YangWest China Biomedical Big Data Center, West China Hospital, Chengdu, China.
Chunyang LiWest China Biomedical Big Data Center, West China Hospital, Chengdu, China.
Mei QiDivision of Nephrology, The Second People's Hospital of Tibet Autonomous Region, Lhasa, China.
Ping FuDivision of Nephrology, Kidney Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Xiaoxi ZengWest China Biomedical Big Data Center, West China Hospital, Chengdu, China.
Sichuan University · CNWest China Medical Center of Sichuan University · CNTibet Autonomous Region People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the causal relationship between childhood body-mass index (BMI) at different ages and adult cardiometabolic traits. Methods: We retrieved genetic instrument variables (IVs) for exposures (standardized BMI at newborn, infant, toddler and late childhood), cardiometabolic traits and potential confounders or mediators (adult BMI, SHBG, testosterone and age at menarche) from the corresponding genome-wide association analysis. We performed univariate and multivariable Mendelian randomization (MR) to dissect associations between age-specific childhood BMI and adult cardiometabolic outcomes. Odds ratio was used to present the direction of the causal association. Results: In univariate MR, higher newborn BMI was causally associated with reduced risk for type 2 diabetes in women. Late childhood BMI was associated with increased risk for female diabetes and coronary artery disease (CAD), myocardial infarction (MI), and chronic kidney disease (CKD) in general population. Among these associations, only association between late childhood BMI with MI remained significant after adjusting for adult male BMI and sex hormones, (OR = 1.120, 95% CI 1.023-1.226, p = 0.014). Besides, in multivariable MR, we found evidence for causal association between newborn BMI with reduced risk for CAD (OR = 0.862, 95% CI 0.751-0.989, p = 0.034) and MI (OR = 0.864, 95% CI 0.752-0.991, p = 0.037) in men. No obvious impact of infant or toddler BMI was identified on the above-mentioned diseases. For continuous cardiometabolic traits, in all age epochs except infant, higher BMI was associated with increased level of fasting glucose in women. Conclusion: BMI at birth and late childhood exerts different impact on adult cardiometabolic diseases, while BMI at infant and toddler ages is not causally associated with these outcomes. The effect of childhood BMI may be influenced by sex disparities.

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2AdultAge FactorsBody Mass IndexCardiometabolic Risk FactorsChildFemaleGenome-Wide Association StudyHumansInfant, NewbornMaleMendelian Randomization Analysisbody mass indexcardiometabolic traitschildhoodgenome-wide association studyMendelian randomizationsex disparity

Identifiers

PMID38288476
PMCPMC10822942
OpenAlexW4390884136

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LicenceCC BY
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Registered trials

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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.