Robinson Ramírez-Vélez , Miguel A. Pérez-Sousa , Emilio González-Jiménez , María Correa-Rodríguez , Juan Carlos Calderón-González , Albeiro Dávila-Grisales , Jacqueline Schmidt-RioValle
{"title":"用不同的肥胖人体测量指数预测老年人的 2 型糖尿病。","authors":"Robinson Ramírez-Vélez , Miguel A. Pérez-Sousa , Emilio González-Jiménez , María Correa-Rodríguez , Juan Carlos Calderón-González , Albeiro Dávila-Grisales , Jacqueline Schmidt-RioValle","doi":"10.1016/j.cpcardiol.2024.102924","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and aims</h3><div>There is some evidence that anthropometric measurements can be associated with the risk of type 2 diabetes mellitus (T2DM). Nevertheless, there is no comprehensive consensus on which anthropometric index is the best for evaluating the risk and predicting T2DM, especially in older adults. For this reason, we compared the performance of six indices for detecting T2DM in a population of Colombian older adults.</div></div><div><h3>Methods and results</h3><div>We conducted a cross-sectional study of 3453 older adults (≥60 years old; 2023 women), analysing demographic characteristics, biochemical markers, and anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), adiposity index (VAI), conicity index (C-Index), and body roundness index (BRI). T2DM was defined as fasting plasma glucose ≥126 mg/dl (≥7.0 mmol/l). All the anthropometric indices correlated significantly with the presence of T2DM. An analysis of the receiver operating characteristic curve showed that for men the VAI (AUC = 0.71; moderate ES (0.78); OR = 4.13), BMI (AUC = 0.68; moderate ES (0.68); OR = 3.38), and WC (AUC = 0.68; moderate ES (0.68); OR = 3.38) are the best predictors for identifying T2DM. For women, however, the WC (AUC = 0.63; ES = 0.46; OR = 2.34) and C-Index (AUC = 0.63; ES = 0.46; OR = 2.34) were better indicators for predicting T2DM. Cut-off points for all the anthropometric indices were provided.</div></div><div><h3>Conclusions</h3><div>In summary, the VAI, BMI, and WC in men, and WC and the C-Index in women have a moderate discriminating power for detecting T2DM in Colombian older adults, evidencing that these anthropometric indices are suitable screening tools for use in the elderly.</div></div>","PeriodicalId":51006,"journal":{"name":"Current Problems in Cardiology","volume":"50 1","pages":"Article 102924"},"PeriodicalIF":3.0000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using different anthropometric indices of obesity as predictors for type 2 diabetes mellitus in older adults\",\"authors\":\"Robinson Ramírez-Vélez , Miguel A. Pérez-Sousa , Emilio González-Jiménez , María Correa-Rodríguez , Juan Carlos Calderón-González , Albeiro Dávila-Grisales , Jacqueline Schmidt-RioValle\",\"doi\":\"10.1016/j.cpcardiol.2024.102924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and aims</h3><div>There is some evidence that anthropometric measurements can be associated with the risk of type 2 diabetes mellitus (T2DM). Nevertheless, there is no comprehensive consensus on which anthropometric index is the best for evaluating the risk and predicting T2DM, especially in older adults. For this reason, we compared the performance of six indices for detecting T2DM in a population of Colombian older adults.</div></div><div><h3>Methods and results</h3><div>We conducted a cross-sectional study of 3453 older adults (≥60 years old; 2023 women), analysing demographic characteristics, biochemical markers, and anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), adiposity index (VAI), conicity index (C-Index), and body roundness index (BRI). T2DM was defined as fasting plasma glucose ≥126 mg/dl (≥7.0 mmol/l). All the anthropometric indices correlated significantly with the presence of T2DM. An analysis of the receiver operating characteristic curve showed that for men the VAI (AUC = 0.71; moderate ES (0.78); OR = 4.13), BMI (AUC = 0.68; moderate ES (0.68); OR = 3.38), and WC (AUC = 0.68; moderate ES (0.68); OR = 3.38) are the best predictors for identifying T2DM. For women, however, the WC (AUC = 0.63; ES = 0.46; OR = 2.34) and C-Index (AUC = 0.63; ES = 0.46; OR = 2.34) were better indicators for predicting T2DM. Cut-off points for all the anthropometric indices were provided.</div></div><div><h3>Conclusions</h3><div>In summary, the VAI, BMI, and WC in men, and WC and the C-Index in women have a moderate discriminating power for detecting T2DM in Colombian older adults, evidencing that these anthropometric indices are suitable screening tools for use in the elderly.</div></div>\",\"PeriodicalId\":51006,\"journal\":{\"name\":\"Current Problems in Cardiology\",\"volume\":\"50 1\",\"pages\":\"Article 102924\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Problems in Cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0146280624005590\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Problems in Cardiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0146280624005590","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Using different anthropometric indices of obesity as predictors for type 2 diabetes mellitus in older adults
Background and aims
There is some evidence that anthropometric measurements can be associated with the risk of type 2 diabetes mellitus (T2DM). Nevertheless, there is no comprehensive consensus on which anthropometric index is the best for evaluating the risk and predicting T2DM, especially in older adults. For this reason, we compared the performance of six indices for detecting T2DM in a population of Colombian older adults.
Methods and results
We conducted a cross-sectional study of 3453 older adults (≥60 years old; 2023 women), analysing demographic characteristics, biochemical markers, and anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), adiposity index (VAI), conicity index (C-Index), and body roundness index (BRI). T2DM was defined as fasting plasma glucose ≥126 mg/dl (≥7.0 mmol/l). All the anthropometric indices correlated significantly with the presence of T2DM. An analysis of the receiver operating characteristic curve showed that for men the VAI (AUC = 0.71; moderate ES (0.78); OR = 4.13), BMI (AUC = 0.68; moderate ES (0.68); OR = 3.38), and WC (AUC = 0.68; moderate ES (0.68); OR = 3.38) are the best predictors for identifying T2DM. For women, however, the WC (AUC = 0.63; ES = 0.46; OR = 2.34) and C-Index (AUC = 0.63; ES = 0.46; OR = 2.34) were better indicators for predicting T2DM. Cut-off points for all the anthropometric indices were provided.
Conclusions
In summary, the VAI, BMI, and WC in men, and WC and the C-Index in women have a moderate discriminating power for detecting T2DM in Colombian older adults, evidencing that these anthropometric indices are suitable screening tools for use in the elderly.
期刊介绍:
Under the editorial leadership of noted cardiologist Dr. Hector O. Ventura, Current Problems in Cardiology provides focused, comprehensive coverage of important clinical topics in cardiology. Each monthly issues, addresses a selected clinical problem or condition, including pathophysiology, invasive and noninvasive diagnosis, drug therapy, surgical management, and rehabilitation; or explores the clinical applications of a diagnostic modality or a particular category of drugs. Critical commentary from the distinguished editorial board accompanies each monograph, providing readers with additional insights. An extensive bibliography in each issue saves hours of library research.