Evidence map›Paper›PMID 40719960›Full record

ArticleGeroScience2025

Ultra-processed foods, biological ageing, and all-cause mortality risk: a prospective cohort study using 172,225 participants from UK Biobank.

Yifan Wang, Tianchen Qi, Xiaoli Wu, Chunhao Li, Boyan Zeng, Peiqi Huang, Dan Liu, Shuang Liang, Fan Yang, Feifei Xu and 3 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Yifan Wang *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Tianchen Qi *Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Xiaoli WuSchool of Public Health, Food Safety and Health Research Center, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China.
Chunhao LiSchool of Public Health, Food Safety and Health Research Center, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China.
Boyan ZengSchool of Public Health, Food Safety and Health Research Center, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China.
Peiqi HuangSchool of Public Health, Food Safety and Health Research Center, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China.
Dan LiuDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Shuang LiangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Fan YangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Feifei XuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Chang SuChinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
Bo ZhangSchool of Public Health, Food Safety and Health Research Center, Southern Medical University, No. 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China. zhangbo2018@smu.edu.cn.
Juncheng DaiDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. djc@njmu.edu.cn.ORCID 0000-0002-3909-5671

Funding

Chinese Academy of Medical Sciences 2019RU038National Financial Projects-Assessment and Application of Nutrients Requirement and Food Environment for Chinese Residents No.102393220020070000013National Natural Science Foundation of China 82072579National Natural Science Foundation of China 82192903National Natural Science Foundation of China 82192904Opening Project of Key Laboratory of Public Nutrition and Health, National Health Commission of the People's Republic of China No.WLKFZ202405
6 · The paper itself

Abstract

Ultra-processed foods (UPF) are increasingly linked to negative health outcomes, including chronic diseases and mortality. Recent evidence suggests that UPF may accelerate biological ageing, potentially explaining their harmful effects. Therefore, this study was aimed to investigate associations between UPF intake categories and mortality risk, examining biological ageing's mediating and modifying effects. We used a prospective cohort design including 172,225 participants in the UK Biobank who completed 24-h dietary recall questionnaires. UPF were classified according to the NOVA system. Cox proportional hazards models were used to evaluated associations between UPF intake and both all-cause and cause-specific mortality. Biological ageing was assessed using PhenoAge acceleration, with the bootstrap method examined mediation effects and delta method assessed interaction between UPF intake and biological ageing on mortality risk. Participants consuming > 8 servings/day of total UPF showed higher mortality risk compared to those consuming ≤ 3.5 servings/day (HR = 1.15; 95% CI 1.07-1.23). Analyses by UPF subgroups revealed positive associations with mortality risk for plant-based UPF (HR = 1.02, 95% CI 1.01-1.03), artificial sweeteners (HR = 1.05, 95% CI 1.03-1.08), and beverages (HR = 1.04, 95% CI 1.03-1.05). Biological ageing mediated 14.4%, 27.5%, and 8.3% of these associations, respectively. A significant additive interaction was observed between high packaged food intake (> 1 servings/day) and accelerated biological ageing on mortality risk (RERI = 0.21, 95% CI 0.01-0.41), while breakfast cereals showed potential protective interactions. UPF consumption may increase mortality risk through biological ageing, with varying effects across subgroups. Strategic dietary modifications, reducing harmful UPF while potentially increasing protective ones, may help mitigate mortality risks.

Indexed as

AgingDietFast FoodsMortalityAgedBiological Specimen BanksCause of DeathFemaleFood, ProcessedHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUltra-processed foods; All-cause mortality; Biological ageing

Identifiers

PMID40719960
PMCPMC12634997

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.