Evidence map›Paper›PMID 37693878›Full record

ArticleThe Lancet regional health. Western Pacific2023

The burden of cardiovascular disease attributable to dietary risk factors in the provinces of China, 2002-2018: a nationwide population-based study.

Yuehui Fang, Juan Xia, Yiyao Lian, Mei Zhang, Yuting Kang, Zhenping Zhao, Limin Wang, Peng Yin, Zengwu Wang, Chen Ye and 2 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 35 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Yuehui FangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Juan XiaBeijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Yiyao LianNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Mei ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yuting KangOffice of National Clinical Research for Geriatrics, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China.
Zhenping ZhaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Limin WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zengwu WangDivision of Prevention and Community Health, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China.
Chen YeNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yuna HeNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
National Center for Chronic and Noncommunicable Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The burden of cardiovascular diseases (CVDs) is on the rise in China, yet a comprehensive and systematic understanding of the temporal trends and distribution of CVD burden attributable to dietary factors across the provinces remains elusive. This study endeavors to provide a comprehensive depiction of the burden of CVDs attributable to dietary risk factors across China's geographical regions from 2002 to 2018. Methods: Data from the China National Nutrition Surveys, the China Chronic Disease and Risk Factor Surveillance, the Hypertension Survey, and the Chinese Centre for Disease Control and Prevention cause-of-death reporting system were used to estimate the intake of dietary factor, the number of deaths, and disability-adjusted life years (DALYs), mortality rate, for ischemic heart disease (IHD), ischemic stroke (IS), hemorrhage and other stroke (HOS) attributable to dietary factors at national and provincial levels in China from 2002 to 2018. Using a comparative risk assessment approach, we estimated the proportion of CVDs burden attributable to suboptimal intake of seven dietary factors, both individually and collectively, among Chinese citizens aged 20 years or older. Finding: The mean consumption of whole grains, soybeans, nuts, vegetables, fruits, red meat, and sugar-sweetened beverages (SSBs) exhibited an upward trend from 2002 to 2018. However, with the exception of red meat and SSBs, the average intake remained below the levels recommended levels outlined in the Chinese national dietary guidelines. Inadequate fruit, whole grain, and vegetables intake were the leading dietary risk factors for IHD, IS and HOS in China, while nuts, soybean and SSB were only associated with IHD mortality. From 2002 to 2018, the number of deaths and mortality rate for CVDs attributable to suboptimal diet among Chinese males were greater than that of females. With increasing age, the diet-related mortality rate for CVDs increased substantially. In 2018, the nationwide mortality rate attributable to diet was found to be 77.9 (95% UI, 77.5-78.1) per 100,000 population for IHD, 34.1 (95% UI, 33.8-34.2) for IS, and 32.8 (95% UI, 32.4-32.8) for HOS. Suboptimal diet was responsible for 16.0 million (95% UI, 13.8-18.4) DALYs and 1137.1 (95% UI, 980.4-1312.3) DALYs per 100,000 population for stroke, and 13.9 million (95% UI, 11.8-16.3) DALYs and 990.2 (95% UI, 841.2-1158.6) DALYs for IHD. Across the provinces of China, in 2018, the highest age-standardized mortality rates of all diet-related deaths were observed in Shandong (92.8 [95% UI, 89.9-93.3]) for IHD, Heilongjiang (38.1 [95% UI, 36.2-38.8]) for IS, and Tibet (68.3 [95% UI, 65.0-70.1]) for HOS. The highest diet related DALYs were observed in Henan (1.4 million [95% UI, 1.2-1.6] for IS, and 1.3 million [95% UI, 1.1-1.5] for IHD). Interpretation: This study provides a comprehensive picture of the geographic variation and temporal trends of the burden of CVDs attributable to dietary risk factors at the national and provincial levels from 2002 to 2018 in China, highlighting the need for geographically targeted intervention strategies to improve the quality of diet and reduce the diet-related burden of CVDs. Funding: National Key Research and Development Program of China (2018YFC1315303), National Natural Science Foundation of China (82103966).

Indexed as

Cardiovascular diseaseChinaDietaryDisease burden

Identifiers

PMID37693878
PMCPMC10485670
OpenAlexW4382121557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.