Evidence map›Paper›PMID 40937169›Full record

ArticleChina CDC weekly2025

Longitudinal Trajectories of Adiposity Indicators and Cancer Risk Over 14 Years: Evidence from Repeated Health Check-Ups of 10 Times or More - China, 2010-2023.

Le Wang, Tingting Fu, Yong Yang, Yifei Lin, Jin Huang

Abstract read
In one paragraph

Article in China CDC weekly, 2025. 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

5 authors.

Le Wang *Department of Urology, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
Tingting Fu *Department of Urology, Lab of Health Data Science, West China Hospital, Key Laboratory of Bio-Resource and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu City, Sichuan Province, China.
Yong YangDepartment of Urology, Lab of Health Data Science, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
Yifei LinDepartment of Urology, Lab of Health Data Science, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.
Jin HuangDepartment of Urology, Innovation Institute for Integration of Medicine and Engineering, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Central obesity is a recognized risk factor for several types of cancers. However, most supporting evidence originates from Western populations and relies on single adiposity measurements, with limited longitudinal data available from China. What is added by this report?: Drawing on data from more than 25,000 Chinese adults who each underwent 10 or more health check-ups over 14 years, this study demonstrated that waist-related indicators - particularly Body Mass Index -adjusted waist circumference (WCadjBMI) and waist-to-hip ratio (WHRadjBMI) - and their inverted U-shaped trajectories are more strongly associated with cancer risk than BMI alone, especially in men and adults aged 50 years and above. What are the implications for public health practice?: Tracking changes in waist-related fat measures over time may help identify cancer risk earlier than BMI monitoring alone. Integrating central obesity measures into routine screening could improve targeted cancer prevention, particularly for the older and male populations, and advance the goals of Healthy China 2030.

Indexed as

Cancer RiskCentral ObesityLongitudinal StudyTrajectories

Identifiers

PMID40937169
PMCPMC12421424

What OpenQuestion holds

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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.