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.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM BMC Endocrine Disorders Pub Date : 2024-10-24 DOI:10.1186/s12902-024-01752-9
Yu Liu, Xixiang Wang, Jie Mu, Yiyao Gu, Shaobo Zhou, Xiaojun Ma, Jingjing Xu, Lu Liu, Xiuwen Ren, Zhi Duan, Linhong Yuan, Ying Wang
{"title":"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.","authors":"Yu Liu, Xixiang Wang, Jie Mu, Yiyao Gu, Shaobo Zhou, Xiaojun Ma, Jingjing Xu, Lu Liu, Xiuwen Ren, Zhi Duan, Linhong Yuan, Ying Wang","doi":"10.1186/s12902-024-01752-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"24 1","pages":"223"},"PeriodicalIF":2.8000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11515612/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Endocrine Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12902-024-01752-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于 BMI/HDL-C 的中国 40 岁及以上成人代谢综合征早期诊断风险模型:一项横断面研究。
研究背景本研究旨在比较腰围身高比(WHTR)、血管脂肪指数(VAI)、总胆固醇/高密度脂蛋白胆固醇(TG/HDL-C)和体重指数/高密度脂蛋白胆固醇(BMI/HDL-C)四项指标对40岁及以上中国成年人代谢综合征(MS)的诊断准确性。此外,该研究还旨在根据个人的体重指数和循环高密度脂蛋白胆固醇(HDL-C)水平,通过提名图建立一个有效的诊断模型:方法:对 699 名 40 岁及以上的参与者进行了横断面研究。将 BMI/HDL-C、TG/HDL-C、VAI 和 WHTR 的四分位数作为自变量,将代谢综合征作为因变量。采用逻辑回归法探讨各参数对 MS 风险的影响。比较接收者操作特征下的面积,以确定这些指标在诊断参与者多发性硬化症方面的准确性。运行逻辑回归构建提名图,并通过校准曲线评估提名图的性能:结果:与非多发性硬化症患者相比,多发性硬化症患者的 BMI、BFM、PBF、VFA、AMC、WC、SCR、TG 和胰岛素水平较高,但 LDH 和 HDL-C 水平较低。体重指数/高密度脂蛋白胆固醇比率与多发性硬化症患病率及其组成部分呈正相关。最终的诊断模型包括五个变量:性别、BFM、WC、TG 和 BMI/HDL-C。该模型显示出良好的校准和辨别能力,AUC 为 0.780。诊断 MS 的提名图临界值为 0.623:结论:BMI/HDL-C 比值是中国成人多发性硬化症的独立危险因素。结论:BMI/HDL-C 是中国成人多发性硬化症的独立危险因素。与 TG/HDL-C、VAI 和 WHTR 等其他诊断 MS 的指标相比,BMI/HDL-C 是最有力的诊断指标。根据诊断模型绘制的提名图为诊断中国成人多发性硬化症提供了实用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
期刊最新文献
Time to development of macrovascular complications and its predictors among type 2 diabetes mellitus patients at Jimma University Medical Center. Body composition analysis in women with polycystic ovary syndrome: a cross-sectional study from the Tehran Lipid and Glucose Study (TLGS). Mediating effect of fasting blood glucose and peripheral arterial disease on the relationship between sexual functioning and health-related quality of life among Nigerians with type 2 diabetes. Risk of Hepatocellular Carcinoma with Glucagon-like Peptide-1 receptor agonist treatment in patients: a systematic review and meta-analysis. Thyroid hormone levels in patients with bipolar disorder: a systematic review and meta-analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1