Developing a risk model for early diagnosis of metabolic syndrome in Chinese adults aged 40 years and above based on BMI/HDL-C: a cross-sectional study

This study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnos...

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Bibliographic Details
Published in:	BMC endocrine disorders Vol. 24; no. 1; pp. 223 - 11
Main Authors:	Liu, Yu, Wang, Xixiang, Mu, Jie, Gu, Yiyao, Zhou, Shaobo, Ma, Xiaojun, Xu, Jingjing, Liu, Lu, Ren, Xiuwen, Duan, Zhi, Yuan, Linhong, Wang, Ying
Format:	Journal Article
Language:	English
Published:	England BioMed Central Ltd 24-10-2024 BioMed Central BMC
Subjects:	Adipose tissue Adult Adults Aged Biomarkers - blood Blood pressure BMI/HDL-C ratio Body composition Body fat Body height Body Mass Index China - epidemiology Cholesterol Cholesterol, HDL - blood Cross-Sectional Studies Diabetes Diagnostic model Early Diagnosis East Asian People Female Females Glucose High density lipoprotein Humans Hyperglycemia Hypertension Insulin resistance Lipids Lipoproteins Male Metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - diagnosis Metabolic Syndrome - epidemiology Metabolites Middle Aged Nomogram Nomograms Obesity Overweight Plasma Risk assessment Risk Factors Statistical analysis Triglycerides Type 2 diabetes China Taiwan United States > US Diagnostic model BMI/HDL-C ratio Metabolic syndrome Nomogram
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Summary:	This study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnostic model displayed by a nomogram based on individual's BMI and circulating HDL-C level. A cross-sectional study was conducted on 699 participants aged 40 years and above. Quartiles of BMI/HDL-C, TG/HDL-C, VAI, and WHTR were used as independent variables, and metabolic syndrome was used as the dependent variable. Logistic regression was conducted to explore the impact of each parameter on the risk of MS. The areas under the receiver operating characteristics were compared to determine the accuracy of the indicators in diagnosing MS in the participants. Logistic regression was run to construct the nomograms, and the performance of the nomogram was assessed by a calibration curve. MS subjects had higher levels of BMI, BFM, PBF, VFA, AMC, WC, SCR, TG, and insulin, but lower LDH and HDL-C levels than the subjects without MS. The BMI/HDL-C ratio was positively correlated with the prevalence of MS and its components. The final diagnostic model included five variables: gender, BFM, WC, TG, and BMI/HDL-C. The model showed good calibration and discrimination power with an AUC of 0.780. The cut-off value for the nomogram was 0.623 for diagnosing MS. BMI/HDL-C ratio was an independent risk factor for MS in Chinese adults. BMI/HDL-C was significantly correlated with MS and its components. BMI/HDL-C was the most powerful diagnostic indicator compared to other indicators, including TG/HDL-C, VAI and WHTR for diagnosing MS. The nomogram drawn based on the diagnostic model provided a practical tool for diagnosing MS in Chinese adults.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1472-6823 1472-6823
DOI:	10.1186/s12902-024-01752-9