Evidence map›Paper›PMID 41341691›Full record

ArticleObesity pillars2025

Unmasking heterogeneity in metabolic syndrome in a national sample of disaggregated Asian American subgroups.

Lin Zhu, Wei Jenny Yang, Crystal Tse, Grace X Ma

Abstract read
In one paragraph

Article in Obesity pillars, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Lin ZhuCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Philadelphia, PA, 19140, USA.
Wei Jenny YangDepartment of Medicine, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA.
Crystal TseCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Philadelphia, PA, 19140, USA.
Grace X MaCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Philadelphia, PA, 19140, USA.

Funding

TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI Yin Tan · 2018 to 2026
$16.3M
NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

Background: Our previous research has shown that Asian Americans with a body mass index (BMI) above 23 have a higher risk of metabolic syndrome (MetS) than non-Hispanic whites of the same BMI. This exploratory study aimed to characterize patterns of metabolic syndrome heterogeneity across Asian American subgroups. Method: This is a cross-sectional epidemiological study. Using data from the National Health and Nutrition Examination Survey, we computed age-adjusted, gender-specific prevalence for MetS and its individual components for three BMI categories among five major Asian American ethnic groups: Chinese (652), Filipino (262), Asian Indian (409), Vietnamese (243), and Korean (215). Results: High MetS prevalence was observed in Asian Americans with a BMI above 23 (overweight or obesity). There were notable variations in MetS prevalence rates across Asian subgroups. Among the five Asian subgroups, excessive MetS risks were observed in Asian Indians, Filipinos, Vietnamese, and Koreans in one or more sex/BMI level categories. In particular, among men who had overweight (BMI 23-27.4), Asian Indians had statistically higher rates of MetS than their Vietnamese counterparts (50.80 % vs. 22.66 %). We also found elevated MetS risks in Asian Indian women who had overweight and Korean women who had obesity (BMI ≥27.5). Conclusion: Our findings highlight an urgent need for further research on cardiometabolic risks and mechanisms driving these risks among disaggregated Asian ethnic groups. Greater understanding of these factors is essential for the development of culturally tailored intervention efforts to reduce MetS disparities among diverse Asian ethnic populations in the United States.

Indexed as

Asian AmericanBody mass indexData disaggregationMetabolic syndrome

Identifiers

PMID41341691
PMCPMC12670570

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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.