Evidence map›Paper›PMID 40140964›Full record

ArticleBMC cancer2025

Associations of combined lifestyle and metabolic risks with cancer incidence in the UK biobank study.

Feng Lin, Wen Hu, Chenfenglin Yang, Binglin Cheng, Hongfan Chen, Jiaxin Li, Hanrui Zhu, Haixiang Zhang, Xiang Yuan, Xianyue Ren and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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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.

Feng LinDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Wen Hu *Department of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Chenfenglin YangDepartment of Hepatobiliary Surgery, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Binglin ChengDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Hongfan ChenDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Jiaxin LiDepartment of Obstetrics & Gynecology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Hanrui ZhuDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Haixiang ZhangDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Xiang YuanDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China.
Xianyue RenGuangdong Provincial Key Laboratory of Stomatology, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
Xiaohong HongDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China. hongxh@smu.edu.cn.
Xinran TangDepartment of Radiation Oncology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong, China. tangxran@163.com.

Funding

National Natural Science Foundation of China 82172673National Natural Science Foundation of China 82273148National Natural Science Foundation of China 82403798Natural Science Foundation of Guangdong Province 2023A1515012396Science and Technology Projects in Guangzhou 2024A04J5202
6 · The paper itself

Abstract

backgroundAlthough metabolic syndrome (MetS) is associated with an increased risk of various cancers, the combined impact of MetS and healthy lifestyle factors (HLF) on cancer risk is unclear. This study aimed to investigate the independent and combined effects of MetS and HLF on the risk of 16 site-specific cancers in a large community-based cohort.

methodsA total of 289,557 participants in the UK Biobank were analyzed. MetS was defined using a combination of metabolic factors, while HLF scores were evaluated based on lifestyle behaviors, such as smoking, alcohol consumption, physical activity, and diet. Cox proportional hazard models were used to investigate the relationship between MetS or HLF and cancer risk, adjusting for age, sex, ethnicity, education level, family history of cancer, and the Townsend Deprivation Index (TDI).

resultsDuring a median follow-up of 11.69 years, 11,190 individuals developed cancer. MetS was associated with an increased risk of 9 cancers in men and 7 cancers in women. Compared with participants with unfavorable lifestyles, regardless of metabolic status, HLF was significantly associated with decreased risk of overall cancer (without MetS: HR: 0.812; 95% CI: 0.745-0.886 for intermediate lifestyle and HR: 0.757; 95% CI: 0.669-0.855 for favorable lifestyle; with MetS: HR: 0.702; 95% CI: 0.572-0.862 for favorable lifestyle) and oesophagus, stomach, liver, lung, bronchus, trachea cancers in men and of lung, bronchus, trachea cancers in women. Our analysis demonstrated that the protective association between HLF and reduced cancer risk was confined to subgroups without MetS. Specifically, this association was observed for cancers of the lip, oral cavity, pharynx, colon, rectum, pancreas, kidney, bladder, and lymphoid leukemia in men, and for overall cancer in women(HR: 0.917; 95% CI: 0.862-0.975 for intermediate lifestyle and HR: 0.875; 95% CI: 0.817-0.938 for favorable lifestyle).

conclusionMetS elevates risks for multiple cancers, while adopting a healthy lifestyle reduces risks of oesophagus, stomach, and lung, bronchus, trachea cancers in men and lung, bronchus, trachea cancer in women, regardless of metabolic status. However, MetS counteracts lifestyle-mediated protection against specific cancers-including lip, oral cavity, pharynx, colon, rectum, pancreas, kidney, and bladder cancers in men, as well as pancreas and breast cancers in women. These findings underscore the necessity to develop metabolic status-stratified management strategies and implement proactive prevention of MetS.

Indexed as

Healthy LifestyleLife StyleMetabolic SyndromeNeoplasmsAdultAgedBiological Specimen BanksExerciseFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedRisk FactorsUK BiobankCancer incidenceLifestyleMetabolic syndrome

Identifiers

PMID40140964
PMCPMC11948676

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.