Evidence map›Paper›PMID 39181132›Full record

ArticleMed (New York, N.Y.)2024

Rising incidence of obesity-related cancers among younger adults in China: A population-based analysis (2007-2021).

Chang Liu, Ying-Chao Yuan, Mo-Ning Guo, Zhong Xin, Guan-Jie Chen, Nan Ding, Jian-Peng Zheng, Bai Zang, Jin-Kui Yang

Abstract read
In one paragraph

Article in Med (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Translational cancer research · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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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

9 authors.

Chang LiuDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
Ying-Chao YuanDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
Mo-Ning GuoBeijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China.
Zhong XinDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
Guan-Jie ChenThe Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Nan DingDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
Jian-Peng ZhengBeijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China.
Bai ZangBeijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China.
Jin-Kui YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China. Electronic address: jkyang@ccmu.edu.cn.

Funding

Intramural NIH HHS Z99 HG999999
6 · The paper itself

Abstract

backgroundDeveloping countries face an "obesity epidemic," particularly affecting children and younger adults. While obesity is a known risk factor for 12 types of cancer, primarily affecting older populations, its impact on younger generations is understudied.

methodsThis study analyzed data from a population-based cancer registry covering 14.14 million individuals in China (2007-2021). We compared the incidence of obesity- and non-obesity-related cancers and applied an age-period-cohort model to estimate their impacts.

findingsAmong 651,342 cancer cases, 48.47% were obesity related. The age-standardized incidence rates (ASRs) of the 12 obesity-related cancers increased annually by 3.6% (p < 0.001), while ASRs for non-obesity-related cancers remained stable. Obesity-related cancers surged among younger adults, with rates rising across successive generations. The annual percentage of change decreased with age, from 15.28% for ages 25-29 years to 1.55% for ages 60-64 years. The incidence rate ratio for obesity-related cancer was higher in younger generations compared to those born in 1962-1966. We predict that the ASR for obesity-related cancers will nearly double in the next decade.

conclusionsThe rising incidence of obesity-related cancers among young adults poses a significant public health concern. The increasing cancer burden underscores the need for targeted interventions to address the obesity epidemic.

fundingThis work was supported by the National Natural Science Foundation of China (81930019, 82341076) to J.-K.Y.

Indexed as

NeoplasmsObesityRegistriesAdolescentAdultAgedAge FactorsChinaFemaleHumansIncidenceMaleMiddle AgedRisk FactorsYoung AdultTranslation to population health

Identifiers

PMID39181132
PMCPMC11560649

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.