Evidence map›Paper›PMID 40797017›Full record

ArticleScientific reports2025

Distinct metabolic syndrome profiles across Asian American subpopulations.

Lin Zhu, Aisha Bhimla, Anjali Mann, Loretta Hsueh, Grace X Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

5 authors.

Lin ZhuCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Ste. 320, Philadelphia, PA, 19140, USA. lin.zhu@temple.edu.
Aisha BhimlaCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Ste. 320, Philadelphia, PA, 19140, USA.
Anjali MannCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Ste. 320, Philadelphia, PA, 19140, USA.
Loretta HsuehDepartment of Psychology, University of Illinois at Chicago, 1007 W. Harrison St, Chicago, IL, 1009 BSB, 60607, USA.
Grace X MaCenter for Asian Health, Lewis Katz School of Medicine, Temple University, 3440 N Broad Street, Ste. 320, Philadelphia, PA, 19140, USA.

Funding

TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI GRACE X. MA · 2018 to 2026
$16.3M
American Heart Association 18POST34030416NCI NIH HHS 2U54CA221705NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

Metabolic Syndrome (MetS) is a cluster of conditions increasing risks for cardiovascular diseases. Existing research on Asian Americans has been limited by aggregate data reporting, which masks critical intra-group health variations. In this study, we conducted a comprehensive disaggregated analysis of MetS prevalence across diverse Asian American ethnic groups, revealing nuanced health disparities that challenge monolithic health narratives. We analyzed National Health and Nutrition Examination Survey data from 2011 to 2016. The Analysis sample consisted of five Asian American ethnic groups: Chinese (n = 652), Asian Indian (n = 409), Filipino (n = 262), Vietnamese (n = 243), and Korean (n = 215). Logistic regression assessed associations between MetS and demographic factors. Significant variations in MetS prevalence emerged across subpopulations and sexes. For example, among women with BMI < 23, Filipino women showed significantly higher MetS prevalence (31.70%) compared to Chinese women (14.45%). Among men with BMI 23-27.4, Asian Indian men exhibited higher prevalence (50.80%) than Vietnamese men (22.66%). Our findings also shed light on the nuanced associations between modifiable lifestyle factors and MetS risks in these Asian subpopulations. This study underscores the critical importance of data disaggregation in understanding health disparities. The findings support developing targeted interventions that address the unique metabolic health profiles within Asian American communities.

Indexed as

AsianMetabolic SyndromeAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesAsian americanBody mass indexData disaggregationMetabolic syndrome

Identifiers

PMID40797017
PMCPMC12343788

What Socratic holds

Textmetadata
LicenceCC BY
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.