Evidence map›Paper›PMID 42773062›Full record

SynthesisFamily medicine and community health2026

Ultra-processed food consumption and risk of multiple chronic diseases among 8,819,894 adults from 51 prospective cohorts: a dose-response meta-analysis.

Xiao Liu, Shengwei Luo, Yunting Zeng, Nanqin Peng, Xinyi Chen, Jianan Tian, Ling Lin, Shan Zeng, Yewei Xie, Zexuan Wang and 13 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Family medicine and community 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
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

23 authors.

Xiao LiuCardiovascular & Metabolic Disorders Program, Duke-NUS Medical School, Singapore Kellyclarkwei@vip.qq.com;liux587@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-8252-3435
Shengwei LuoThe Centre for Behavioural & Implementation Science Interventions, National University of Singapore, Singapore.
Yunting ZengFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.ORCID http://orcid.org/0009-0007-2449-7663
Nanqin PengDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Nanchang University Jiangxi Medical College, Nanchang, Jiangxi, China.
Xinyi ChenDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Nanchang University Jiangxi Medical College, Nanchang, Jiangxi, China.
Jianan TianDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Nanchang University Jiangxi Medical College, Nanchang, Jiangxi, China.
Ling LinFujian Medical University, Fuzhou, Fujian, China.
Shan ZengCardiology Department, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Yewei XieProgramme in Health Services Research & Population Health, Duke-NUS Medical School, Singapore.
Zexuan WangSchool of Basic Medical Sciences, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
Jiaxue XuNursing of school, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Lin LiDepartment of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Deju ZhangFood and Nutritional Sciences, The University of Hong Kong, Hong Kong, Hong Kong.
Wenli GuCardiology Division, Queen Marry Hospital, The University of Hong Kong, Hong Kong, Hong Kong.
Xiang GuDepartment of Cardiology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China.
Jun ZhangDepartment of Cardiology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China.
Menglu LiuDepartment of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, Henan, China.
Yujie ZhaoDepartment of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, Henan, China.
Lihan ZhuDepartment of Physiology & Biomedical Sciences, Seoul National University College of Medicine, Seoul, The Republic of South Korea.
Mir Wajid MajeedSafdarjung Hospital, Vardhman Mahavir Medical College (VMMC), New Delhi, India, New Delhi, India.
Zhiwei YanFujian Medical University, Fuzhou, Fujian, China.
Wenting WangDepartment of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Peng YuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Nanchang University Jiangxi Medical College, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe consumption of ultra-processed foods (UPFs) has increased globally. This study comprehensively investigated the impact of consuming UPFs on the risk of major chronic diseases in adults.

settingA systematic search identified prospective cohort studies up to April 2026 on consumption of UPFs and major chronic outcomes. Consumption of UPFs was assessed by food frequency questionnaires (FFQs), 24-hour recalls, or dietary history.

participantsAdults (≥18 years) without restriction to specific clinical conditions at baseline.

resultsFifty-one prospective cohort studies involving 8 819 894 participants were included. Consumption of UPFs was associated with cardiovascular events (Hazard Ratio (HR) 1.24, 95% Confidence Interval (CI) 1.14 to 1.36), cancer (HR 1.12, 95% CI 1.04 to 1.21), obesity/overweight (HR 1.23, 95% CI 1.17 to 1.30), metabolic syndrome (MetS)/diabetes (HR 1.24, 95% CI 1.08 to 1.42), depression/anxiety (HR 1.27, 95% CI 1.15 to 1.40), digestive diseases (HR 1.31, 95% CI 1.16 to 1.48) and all-cause mortality (HR 1.18, 95% CI 1.10 to 1.26). Dose-response analyses showed each additional 100 g/day associated with higher risks of cardiovascular events (HR 1.14, 95% CI 1.06 to 1.22), cancer (HR 1.04, 95% CI 1.02 to 1.06), all-cause mortality (HR 1.03, 95% CI 1.02 to 1.05), and MetS/diabetes (HR 1.02, 95% CI 1.01 to 1.04).

conclusionsConsuming UPFs was associated with higher risks of multiple chronic diseases and all-cause mortality with low or moderate evidence. Reducing dietary intake of UPFs may therefore be relevant for chronic disease prevention. PROSPERO REGISTRATION NUMBER: CRD42023421092.

Indexed as

Fast FoodsAdultCardiovascular DiseasesChronic DiseaseFemaleHumansMaleProspective StudiesRisk FactorsDiet, Food, and NutritionDiet, HealthyMultiple Chronic Conditions

Identifiers

PMID42773062
PMCPMC13599868

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.