Evidence map›Paper›PMID 42744862›Full record

ArticleBritish journal of cancer2026

Healthy lifestyle and cancer risk: a pan-cancer analysis in the UK Biobank prospective cohort.

Jie Ding, Ben Schöttker, Hermann Brenner, Michael Hoffmeister

Abstract read
PubMed Publisher
In one paragraph

Article in British journal of cancer, 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

4 authors.

Jie DingClinical Epidemiology of Early Cancer Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Ben SchöttkerClinical Epidemiology of Early Cancer Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Hermann BrennerCancer Prevention Graduate School, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6129-1572
Michael HoffmeisterClinical Epidemiology of Early Cancer Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany. m.hoffmeister@dkfz.de.ORCID http://orcid.org/0000-0002-8307-3197

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01KD2104A
6 · The paper itself

Abstract

backgroundResearch on healthy lifestyles across various cancers is limited. We conducted a pan-cancer analysis to evaluate the associations of healthy lifestyle with cancer risk.

methodsData from 287,745 UK Biobank participants were analysed. A healthy lifestyle score (HLS) was calculated based on smoking, alcohol, diet, physical activity and BMI. Cox models were used to estimate 27 cancer risks, and population attributable fractions (PAFs) were calculated based on incomplete adherence to a healthy lifestyle.

resultsDuring a median 11.5-year follow-up, 12,947 participants developed cancer. Adhering to 4-5 vs 0-1 healthy lifestyle behaviours was associated with decreased risks of 13 of the 27 cancer types: oral, pharyngeal, laryngeal, oesophageal, stomach, colorectal, liver, pancreatic, lung, soft tissue sarcoma, kidney, bladder and postmenopausal breast cancer (HRs from 0.12 to 0.79). Significant PAFs were observed for 14 cancer types in relation to lower HLS. Smoking and overweight were associated with the largest number of cancer types.

conclusionsThese findings extend evidence on associations between a healthy lifestyle and lower risks of both common and less-common cancers. Smoking and overweight were associated with more cancer types than the other components, suggesting that smoking cessation and weight control may be cancer prevention strategies to be prioritised.

Identifiers

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.