Evidence map›Paper›PMID 37335360›Full record

ArticleEuropean journal of nutrition2023

Comparison of data-driven identified hypertension-protective dietary patterns among Chinese adults: based on a nationwide study.

Yuxiang Yang, Wei Piao, Shuya Cai, Kun Huang, Changzheng Yuan, Xue Cheng, Ling Zhang, Yuge Li, Liyun Zhao, Dongmei Yu

Abstract read
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In one paragraph

Article in European journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 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

10 authors at 3 institutions in 1 country.

Yuxiang YangDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Wei PiaoDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Shuya CaiDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Kun HuangDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Changzheng YuanSchool of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, China.
Xue ChengDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Ling ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Beijing, 100069, China.
Yuge LiDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
Liyun ZhaoDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China. zhaoly@ninh.chinacdc.cn.
Dongmei YuDepartment of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China. yudm@ninh.chinacdc.cn.ORCID http://orcid.org/0009-0005-6677-6279
Chinese Center For Disease Control and Prevention · CNCapital Medical University · CNZhejiang University · CN

Funding

National Health Commission of the People's Republic of China Medical Reform Major Program: China National Chronic Diseases and Nutrition Surveillance of Adults (2015-2017)Study of Diet and Nutrition Assessment and Intervention Technology from Active Health and Aging Technologic Solutions Major Project of National Key R&D Program No.2020YFC2006300
6 · The paper itself

Abstract

purposeDiet pattern (DP) is a key modifiable and cost-effective factor in hypertension (HTN) management. The current study aimed to identify and compare the hypertension-protective DPs among Chinese adults.

methods52,648 participants aged over 18 years were included from China Nutrition and Health Surveillance (CNHS) 2015-2017. Reduced rank regression (RRR) and partial least square regression (PLS) was applied to identify the DPs. Multivariable-adjusted logistic regression was used to assess the association between the DPs and HTN.

resultsDPs derived by RRR and PLS were both featured by higher consumption of fresh vegetables and fruits, mushrooms and edible fungi, seaweeds, soybeans and related products, mixed legumes, dairy products, fresh eggs, and lower of refined grain consumption. Compared to the lowest quintile, participants in the highest quintile had lower odds of HTN (RRR-DP: OR = 0.77, 95% CI = 0.72-0.83; PLS-DP: OR = 0.76, 95% CI = 0.71-0.82; all p < 0.0001). Simplified DP scores were observed the same protective tendencies (Simplified RRR-DP: OR = 0.81, 95% CI = 0.75-0.87; Simplified PLS-DP: OR = 0.79, 95% CI = 0.74-0.85; all p < 0.0001) and showed effective extrapolation in subgroups defined by gender, age, location, lifestyle, and different metabolic conditions.

conclusionsThe identified DPs had high conformity with East Asian dietary habits, and significantly negative associations with HTN among Chinese adults. The simplified DP technique also indicated the potential for improving the extrapolation of the results of DP analysis related to HTN.

Indexed as

DietEast Asian PeopleHypertensionAdultHumansVegetablesCardiovascular healthDietary patternHypertensionPartial least squaresReduced rank regressionSimplified technique

Identifiers

PMID37335360
OpenAlexW4381165215

What Socratic holds

Textmetadata
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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.