Evidence mapPaperPMID 39009489Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2024

Dietary Patterns and Cardiovascular Diseases in Asia: A Systematic Review and Meta-Analysis.

Gladys Huiyun Lim, Nithya Neelakantan, Yu Qi Lee, Su Hyun Park, Zhi Heng Kor, Rob M van Dam, Mary Foong-Fong Chong, Airu Chia

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  19. Dietary diversity and its association with hypertension risk: insights from the China health and nutrition survey.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Gladys Huiyun LimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Nithya NeelakantanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Yu Qi LeeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Su Hyun ParkSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Zhi Heng KorSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Nutrition and Exercise Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Mary Foong-Fong ChongSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A∗STAR), Singapore.
Airu ChiaSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore. Electronic address: airu-chia@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With emerging Asian-derived diet quality indices and data-driven dietary patterns available, we aimed to synthesize the various dietary patterns and quantify its association with cardiovascular diseases (CVDs) among Asian populations. We systematically searched PubMed, Embase, Scopus, and Web of Science for observational studies in South, Southeast, and East Asia. Dietary patterns were grouped "high-quality," which included high intakes of three or more of the following food groups: 1) fruits and vegetables, 2) whole grains, 3) healthy protein sources (legumes and nuts, fish and seafood, low-fat dairy, and lean meat and poultry), and 4) liquid plant oils. High-quality patterns were further subcategorized based on their derivation methods: non-Asian indices, Asian indices, data-driven patterns, and plant-based indices. Dietary patterns were grouped "low-quality," which included high intakes of two or more of the following: 5) ultraprocessed food, 6) beverages and foods with added sugars, 7) foods high in salt, and 8) alcoholic beverages. Data-driven dietary patterns characterized by animal food sources were labeled "animal-based," and studies using dietary diversity scores were labeled "diet diversity indices." Dietary patterns that could not be meaningfully categorized were summarized narratively. Study-specific effect estimates were pooled using a random-effects model. Forty-one studies were included in this review. Higher adherence to high-quality dietary patterns in the top compared with bottom tertile defined by non-Asian indices (RR: 0.78; 95% CI: 0.69, 0.88; GRADE: moderate), Asian indices (RR: 0.84; 95% CI: 0.79, 0.90; GRADE: low), and data-driven patterns (RR: 0.81; 95% CI: 0.74, 0.89; GRADE: moderate) were associated with lower CVD risk. Plant-based, low-quality, animal-based, and diet diversity indices dietary patterns were not associated with CVD. Associations of Asian diet quality indices and CVD risk were weaker than those with non-Asian indices, highlighting the need for current Asian diet quality criteria to be updated to better capture the impact of diet on CVD. The systematic review and meta-analysis was registered at PROSPERO as CRD42021244318.

Indexed as

Cardiovascular DiseasesDietAsiaDiet, HealthyFeeding BehaviorFemaleFruitHumansMaleVegetablesWhole GrainsAsiacardiovascular diseasedietdietary patterndiet qualitymeta-analysis

Identifiers

PMID39009489
PMCPMC11294752

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.