Marlow B. Hernandez, Palav L Shah, P. Hardigan, C. Blavo, R. Tofts, D. Sider, Vidya V. Pai, Ashik Lawrence, Imran Ally, Jad Dergham, Andrew C. Gratzon, E. McDaniel, Armen Boyrazian, James T. Bennett, S. Thames, Kaitlin McCurdy, J. Mcconnell, U. Khalid, Samina R Chowdhury, H. Brar, O. Raj, R. Talwar
{"title":"健康指数(HI)统计方程在预测体脂率中作为身体质量指数替代临床参数的发展","authors":"Marlow B. Hernandez, Palav L Shah, P. Hardigan, C. Blavo, R. Tofts, D. Sider, Vidya V. Pai, Ashik Lawrence, Imran Ally, Jad Dergham, Andrew C. Gratzon, E. McDaniel, Armen Boyrazian, James T. Bennett, S. Thames, Kaitlin McCurdy, J. Mcconnell, U. Khalid, Samina R Chowdhury, H. Brar, O. Raj, R. Talwar","doi":"10.5580/1370","DOIUrl":null,"url":null,"abstract":"Metabolic syndrome is increasing in prevalence in the United States. Body Mass Index is a formula most commonly used to assess body fat percentage. However, the formula contains significant limitations and inefficiencies. As a result, the Health Index equation was developed as an alternative to the BMI. Data from 79 healthy individuals, as defined by the absence of metabolic syndrome risk factors, was collected and a relationship was established between their BMI and body fat percentage. The results showed the BMI produced a poor correlation with the body fat percentage while the Health Index metric produced a stronger correlation to actual body fat percentage.","PeriodicalId":89628,"journal":{"name":"The Internet journal of mental health","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2009-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of the Health Index (HI) Statistical Equation as an Alternative Clinical Parameter to the Body Mass Index in the Prediction of Body Fat Percentage\",\"authors\":\"Marlow B. Hernandez, Palav L Shah, P. Hardigan, C. Blavo, R. Tofts, D. Sider, Vidya V. Pai, Ashik Lawrence, Imran Ally, Jad Dergham, Andrew C. Gratzon, E. McDaniel, Armen Boyrazian, James T. Bennett, S. Thames, Kaitlin McCurdy, J. Mcconnell, U. Khalid, Samina R Chowdhury, H. Brar, O. Raj, R. Talwar\",\"doi\":\"10.5580/1370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metabolic syndrome is increasing in prevalence in the United States. Body Mass Index is a formula most commonly used to assess body fat percentage. However, the formula contains significant limitations and inefficiencies. As a result, the Health Index equation was developed as an alternative to the BMI. Data from 79 healthy individuals, as defined by the absence of metabolic syndrome risk factors, was collected and a relationship was established between their BMI and body fat percentage. The results showed the BMI produced a poor correlation with the body fat percentage while the Health Index metric produced a stronger correlation to actual body fat percentage.\",\"PeriodicalId\":89628,\"journal\":{\"name\":\"The Internet journal of mental health\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Internet journal of mental health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5580/1370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Internet journal of mental health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5580/1370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of the Health Index (HI) Statistical Equation as an Alternative Clinical Parameter to the Body Mass Index in the Prediction of Body Fat Percentage
Metabolic syndrome is increasing in prevalence in the United States. Body Mass Index is a formula most commonly used to assess body fat percentage. However, the formula contains significant limitations and inefficiencies. As a result, the Health Index equation was developed as an alternative to the BMI. Data from 79 healthy individuals, as defined by the absence of metabolic syndrome risk factors, was collected and a relationship was established between their BMI and body fat percentage. The results showed the BMI produced a poor correlation with the body fat percentage while the Health Index metric produced a stronger correlation to actual body fat percentage.