Evidence map›Paper›PMID 42618869›Full record

ArticleGeroScience2026

The impact of cumulative obesity and genetic susceptibility on biological aging in Chinese older adults.

Jiening Yu, Liming Zhang, Zhenqing Yang, Xueqing Jia, Ciyun Zhao, Jiaxin Liu, Jingyun Zhang, Xingqi Cao, Yinyi Song, Lu Li and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jiening YuCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Liming ZhangCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhenqing YangCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xueqing JiaCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ciyun ZhaoCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jiaxin LiuHuman Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.
Jingyun ZhangCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xingqi CaoDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yinyi SongCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lu LiCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xuehui SunHuman Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.
Hui ZhangSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weicheng WuHuman Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.
Li JinHuman Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China.
Xiaofeng WangHuman Phenome Institute, Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, China. xiaofengwang71@163.com.
Zuyun LiuCenter for Clinical Big Data and Analytics of the Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Zuyun.liu@outlook.com.

Funding

National Natural Science Foundation of China 72374180National Natural Science Foundation of China 82171584"Pioneer" and "Leading Goose" R&D Programs of Zhejiang Province 2025C02104
6 · The paper itself

Abstract

The detrimental impacts of cumulative obesity exposures and their interactions with genetics on biological aging remain poorly understood. We included 687 older adults (median age: 79.6 years) from the Rugao Longitudinal Ageing Study (RLAS), a community-based cohort study conducted in Rugao, Jiangsu, China. The cumulative exposures of body mass index (cBMI) and waist circumference (cWC) were calculated as the excessive exposure of BMI and WC relative to their reference values (BMI ≥ 24 kg/m

Indexed as

Biological agingChinese older adultsCumulative obesityGenetic susceptibility

Identifiers

PMID42618869

What Socratic holds

Textmetadata
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 Socratic graph.