Evidence map›Paper›PMID 40975731›Full record

ArticlePediatric research2026

Confirmatory-factor-analysis-derived metabolic syndrome risk score: development, validation, and clinical utility in dual adolescent populations.

Yu-Ting Chin, Pei-Wen Wu, Pin-Rui Huang, Sharon Tsai, Wei-Ting Lin, Chun-Ying Lee, Wei-Chung Tsai, Chien-Hung Lee

Abstract readValidation Study
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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yu-Ting ChinDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Pei-Wen WuDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Pin-Rui HuangDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Sharon TsaiDepartment of Laboratory Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan.
Wei-Ting LinDepartment of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Chun-Ying LeeDepartment of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wei-Chung TsaiDepartment of Internal Medicine, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chien-Hung LeeDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan. cnhung@kmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study developed and validated a continuous metabolic syndrome (MetS) risk score (msRS) for adolescents and evaluated its clinical utility in identifying multiple clinical cardiovascular markers (CCMs) using dual adolescent populations.

methodsAdolescents aged 12‒18 from two stratified random samples were used: the nationwide Nutrition and Health Survey in Taiwan (NAHSIT, n = 1920) for development and the Adiposity‒Cardiovascular Disease Axis study in Southern Taiwan (adiCards, n = 3295) for validation. Four sex-and-age-specific msRS were developed through confirmatory factor analysis (CFA) utilizing five MetS components-waist circumference, high-density lipoprotein cholesterol, triglycerides, fasting glucose, and mean arterial pressure. Their discriminatory ability for clinical outcomes was validated using the area under receiver operating characteristic (AU-ROC) curve.

resultsThe msRS demonstrated exceptional capability in detecting MetS in NAHSIT and adiCards cohorts (AU-ROCs: 0.954‒0.969). Adjusted for covariates, msRS explained higher variability in body-fat percentage, apolipoproteins B/A1, and homeostatic model assessment of insulin resistance (HOMA-IR) than binary MetS and abnormal components count (partial R

conclusionThe CFA-derived sex-and-age-adjusted msRS scheme provides an improving measure to assess and manage adolescent cardiometabolic health. IMPACT: Adolescent MetS components share a latent metabolic construct. A scoring system through confirmatory factor analysis captures sex-and-age specific metabolic heterogeneity. Continuous risk score accurately discriminates pediatric MetS. MetS risk score effectively detects pediatric cardiovascular risk. Consideration of population characteristics is essential when developing a continuous MetS score.

Indexed as

Metabolic SyndromeAdolescentBiomarkersBlood GlucoseCardiovascular DiseasesChildFactor Analysis, StatisticalFemaleHumansMaleNutrition SurveysReproducibility of ResultsRisk AssessmentRisk FactorsROC CurveTaiwanBiomarkersBlood GlucoseTriglycerides

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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.