Early Identification of Metabolic Syndrome in Adults of Jiaxing, China: Utilizing a Multifactor Logistic Regression Model

We developed and validated a nomogram based on MetS risk factors, which can effectively predict the occurrence of MetS. The proposed nomogram demonstrates significant discriminative ability and clinical applicability. It can be utilized to identify variables and risk factors for diagnosing MetS at an early stage.

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Publication Details

Journal
Diabetes Metabolic Syndrome and Obesity
Published
2024-08-01
DOI
https://doi.org/10.2147/dmso.s468718
Citations
1
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
0.71
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article

Early Identification of Metabolic Syndrome in Adults of Jiaxing, China: Utilizing a Multifactor Logistic Regression Model

Jianwen Duan, Jiaye Wang, Ye Zhang, Wenyu Chen et al.
1 citations
Diabetes Metabolic Syndrome and Obesity
Statistical Methods in Epidemiology
0.71
article

Early Identification of Metabolic Syndrome in Adults of Jiaxing, China: Utilizing a Multifactor Logistic Regression Model

Jianwen Duan, Jiaye Wang, Ye Zhang, Wenyu Chen, Xiaoli Tan, Lifang Huang, Shiyu Hu
article en
1 citations

Abstract

We developed and validated a nomogram based on MetS risk factors, which can effectively predict the occurrence of MetS. The proposed nomogram demonstrates significant discriminative ability and clinical applicability. It can be utilized to identify variables and risk factors for diagnosing MetS at an early stage.

Diabetes Metabolic Syndrome and ObesityVol. Volume 17
Zhejiang Chinese Medical University (CN), Quzhou City People's Hospital (CN), Jiaxing University (CN), First Hospital of Jiaxing (CN)
Zero hunger
Openalex Percentile: Top 27%
Statistical Methods in Epidemiology
0.71
DOIOpen Access PDFOpenAlex
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Early Identification of Metabolic Syndrome in Adults of Jiaxing, China: Utilizing a Multifactor Logistic Regression Model — Jianwen Duan, Jiaye Wang, et al. · Diabetes Metabolic Syndrome and Obesity (2024) | TGRS Research Map | TGRS