Evidence map›Paper›PMID 42035049›Full record

ArticleBMC public health2026

Fast food, fast aging? A cross-sectional study in the UK.

Gengwu Li, Yichen Cui, Wenhe Huang, Sichen Liu, Xiaoxiao Wang, Nan Li

Abstract read
In one paragraph

Article in BMC public health, 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
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0citing papers in PubMed
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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

6 authors.

Gengwu Li *Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Yichen Cui *Research Center of Clinical Epidemiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Wenhe HuangResearch Center of Clinical Epidemiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China.
Sichen LiuDepartment of Intelligent Science, School of Advanced Technology, Xi'an Jiaotong- Liverpool University, Suzhou, 215123, P.R. China.
Xiaoxiao WangResearch Center of Clinical Epidemiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China. wxx910129@163.com.
Nan LiResearch Center of Clinical Epidemiology, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China. linan917@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid expansion of takeaway food consumption has raised concerns about its negative health effects, yet its relationship with biological aging remains unclear. This study aims to investigate the association between takeaway meal consumption and biological aging using data from the UK Biobank.

methodsWe performed a cross-sectional analysis from 43,478 participants in the UK Biobank. Takeaway meal consumption was assessed using the UK Biobank’s ‘Type of Meals Eaten’ survey question. Biological age was estimated using two validated metrics: Phenotypic Age (PhenoAge) and the Klemera-Doubal Method (KDM), both derived from clinical biomarkers. Generalized linear models assessed the association between takeaway consumption and biological aging, adjusting for demographic, socioeconomic, lifestyle, and health-related factors. Mediation analysis evaluated the potential mediating role of body mass index (BMI).

resultsThe overall sample had a mean age of 56.01 years (standard deviation = 8.18), with 45.1% being male. Takeaway consumers were more likely to be younger, male, and less educated, with higher social deprivation, overweight prevalence, and unhealthy behaviors (smoking, alcohol use), lower physical activity, yet lower rates of hypertension and coronary heart disease compared to home-cooked meal consumers (reference group). Takeaway food consumption was significantly associated with accelerated biological aging, corresponding to 0.302 years (95% CI: 0.139–0.464, p < 0.001; ~3.6 months) and 0.240 years (95% CI: 0.114–0.366, p < 0.001; ~2.9 months) of additional aging based on PhenoAge and KDM, respectively, compared to home-cooked meals. BMI partially mediated this relationship, accounting for 30 to 37% of the total effect.

conclusionsTakeaway meal consumption is linked to significant biological age acceleration, partly through increased BMI. The findings underscore the potential public health implications of dietary habits and support interventions targeting food quality and access in takeaway-dense environments.

Indexed as

AgingFast FoodsAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedUK BiobankUnited KingdomBiological agingPublic health nutritionTakeaway mealsUK Biobank

Identifiers

PMID42035049
PMCPMC13255478

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LicenceCC BY-NC-ND
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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.