Evidence mapPaperPMID 41565236Full record

ArticleAsia Pacific journal of clinical nutrition2026

Burden of cardiovascular disease in China attributable to unbalanced fatty acid intake from 1990 to 2050.

Xiangrong Liu, Xinshen Zhang, Lu Liu, Zhimeng Yu, Xin Qin, Yetong Ma, Xueyan Yang, Yinghua Liu

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Article in Asia Pacific journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiangrong LiuDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Xinshen ZhangDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Lu LiuDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Zhimeng YuDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Xin QinDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Yetong MaDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Xueyan YangDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China.
Yinghua LiuDepartment of Nutrition, the First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China. Email: liuyinghua77@163.com.

Funding

Research Project on High-Quality Development of Clinical Nutrition Services No.2025-1-Z-01
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThis study aimed to analyze the trends in death and disability-adjusted life years (DALYs) due to cardiovascular disease (CVD) associated with unbalanced dietary fatty acid intake in China from 1990 to 2021, and to predict the disease burden levels up to 2050. METHODS AND STUDY

designUsing Global Burden of Disease 2021 data, we examined death and DALYs rates by age, sex, and risk fac-tors. Joinpoint regression assessed temporal trends. Decomposition analysis evaluated contributions of population growth, aging, and epidemiological transitions. Age-period-cohort (APC) modeling estimated cohort and period effects. Bayesian Age-Period-Cohort (BAPC) modeling projected future CVD burden.

resultsAge-standardized death and DALYs rates for CVD attributable to low seafood n-3 polyunsaturated fatty acids (PUFAs) and high trans fatty acids declined, while those due to insufficient n-6 PUFAs intake increased. Despite fluctuations, overall CVD burden showed a downward trend. Burden was higher in males and older groups. Population growth drove the absolute increase in burden, while aging and epidemiological shifts had variable effects by risk factor. APC modeling revealed significant age, period, and cohort influences. BAPC projections indicate continued decline in CVD burden from fatty acid imbalances through 2050.

conclusionsThe CVD burden linked to imbalanced fatty acid consumption demonstrated a general decline, with forecasts suggesting a continued decrease by 2050. Older adults and males were highlighted as priority populations for focused interventions. These results can inform the development of targeted prevention and control initiatives.

Indexed as

Cardiovascular DiseasesDietDietary FatsFatty AcidsAdultAgedChinaDisability-Adjusted Life YearsFemaleHumansMaleMiddle AgedRisk FactorsDietary FatsFatty AcidsBayesian Age-Period-Cohort modelingcardiovascular diseasedecomposition analysisn-3 polyunsaturated fatty acidstrans fatty acids

Identifiers

PMID41565236
PMCPMC12823254

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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 Socratic graph.