Evidence map›Paper›PMID 40934441›Full record

Observational studyJMIR public health and surveillance2025

Dietary Risk Factors and Associated Disease Burden Among Chinese Adults Aged 25 Years and Older: Systematic Analysis of the Global Burden of Disease Study 2021.

Yuze Xin, Dong Shui, Guangcan Yan, Wei Tian, Ning Tang, Jinyu Liang, Junyi Peng, Hongru Sun, Anqi Ge, Xinyan Liu and 6 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

16 authors.

Yuze Xin *School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0003-6955-6154
Dong Shui *School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0002-8425-1829
Guangcan YanSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0004-2934-0444
Wei TianSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0003-2179-8130
Ning TangSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0003-8951-7304
Jinyu LiangSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0005-7712-2852
Junyi PengSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0002-2041-568X
Hongru SunSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0003-3305-7786
Anqi GeSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0001-4516-6616
Xinyan LiuSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0009-0007-2719-7535
Katrina KissockThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, New South Wales, Australia.ORCID 0000-0001-6665-2106
Kathy TrieuThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, New South Wales, Australia.ORCID 0000-0003-1848-2741
Jing ZhangSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0003-4727-3754
Xinyi ZhangSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0002-0581-9707
Pengpeng YeNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2924-1436
Maoyi TianSchool of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, 150081, China, 86 18701355688.ORCID 0000-0002-5660-8571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With rapid economic development and lifestyle changes, diet-related diseases have become a major public health concern globally. China is experiencing significant dietary transitions. From 2001 to 2021, the intake of staple foods declined, while the consumption of animal-based foods and ultraprocessed foods increased significantly. But comprehensive assessments of major dietary risk factors and the long-term health impacts of shifting dietary patterns in China remain unclear. Objective: This study aims to assess the disease burden attributable to dietary risk factors in China using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 (GBD 2021), and to examine long-term trends over the past 3 decades. In addition, it provides an in-depth analysis of the 3 major diet-related disease categories in China: cardiovascular diseases, neoplasms, and diabetes and kidney diseases. Methods: We extracted data from GBD 2021, focusing on diet-related health outcomes in China across 33 provinces and regions. Measures included deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs), stratified by age, sex, and region. Age-standardized rates (ASRs) were calculated, and temporal trends were analyzed using estimated annual percentage change (EAPC). Results: In 2021, dietary risk factors accounted for 1.70 million deaths and 38.39 million DALYs among Chinese adults aged 25 years and older. The leading contributors were high sodium intake, low fruit consumption, and low whole grain intake. Cardiovascular diseases were the largest contributors to diet-related DALYs. The burden was more pronounced in males than in females and highest among older adults aged 80 years and older. Substantial regional variation was observed, with the Northeastern and Western regions showing higher burden. From 1990 to 2021, overall disease burden due to dietary risks declined steadily, as reflected by decreasing ASR-DALYs (EAPC= -1.76), YLLs, and death rates. In contrast, YLDs showed a slight upward trend (EAPC=0.75), indicating a shift toward increased years lived with disability. In addition, the relative contributions of specific dietary risk factors changed considerably. Low vegetable intake, once ranked the third in 1990, dropped to the 12th by 2021, while high red meat consumption rose from the 15th to 7th place. Although the ranking of high-sugar beverage consumption did not change, the ASR-DALYs rate increased significantly, with a percentage change of 689.14% between 1990 and 2021. Conclusions: In China, the burden of diet-related diseases remains substantial. While the overall age-standardized disease burden has declined, marked regional and demographic disparities persist. Certain dietary risks, such as high red meat and sugar-sweetened beverage consumption, are rising, and high sodium intake remains a serious concern. These trends highlight the urgent need for comprehensive, adaptable, and evidence-based nutrition policies to be implemented to address the evolving diet-related disease burden across diverse populations in China.

Indexed as

Cost of IllnessDietAdultAgedChinaDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedRisk FactorsChinadietary risk factorsdiet-related diseasesglobal burden of diseaseultraprocessed food

Identifiers

PMID40934441
PMCPMC12441878

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Registered trials

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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.