Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study.


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2023
Historique:
received: 05 03 2023
accepted: 09 06 2023
medline: 11 7 2023
pubmed: 10 7 2023
entrez: 10 7 2023
Statut: epublish

Résumé

Confirm and compare the degree of associations of non-traditional lipid profiles and metabolic syndrome (MetS) in Chinese adolescents, determine the lipid parameter with better predictive potential, and investigate their discriminatory power on MetS. Medical measurements, including anthropometric measurements and biochemical blood tests, were undergone among a total sample of 1112 adolescents (564 boys and 548 girls) aged from 13 to 18 years. Univariate and multivariate logistic regression analyses were applied for assessing the relationships between the levels of traditional/non-traditional lipid profiles and MetS. We performed Receiver Operating Characteristic (ROC) analyses to mensurate the effectiveness of lipid accumulation product (LAP) on the diagnosis of MetS. Meanwhile, areas under the ROC curve and the cut-off values were calculated for MetS and its components. Univariate analysis showed that all our lipid profiles were closely associated with MetS (P< 0.05). LAP index showed the closest association with MetS than the other lipid profiles. Additionally, ROC analyses indicated that the LAP index showed sufficient capabilities to identify adolescents with MetS and its components. The LAP index is a simple and efficient tool to identify individuals with MetS in Chinese adolescents.

Identifiants

pubmed: 37424867
doi: 10.3389/fendo.2023.1179990
pmc: PMC10326626
doi:

Substances chimiques

Lipids 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1179990

Informations de copyright

Copyright © 2023 Chen, Liu, Zhuang, Zhang, Ma, Liu and Wen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Zi-Yi Chen (ZY)

Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

Lei Liu (L)

School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China.

Xu-Xiu Zhuang (XX)

Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

Yi-Cong Zhang (YC)

Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

Ya-Nan Ma (YN)

School of Public Health, China Medical University, Shenyang, Liaoning, China.

Yang Liu (Y)

Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

De-Liang Wen (DL)

Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.

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Classifications MeSH