Lara Vilar Fernandes , Gabriela Benatti de Oliveira , Rita S. Guerra , Xiayu Summer Chen , Flavia Cristina Drumond Andrade , Teresa F. Amaral , Ana Carolina Junqueira Vasques , Ligiana Pires Corona
{"title":"利用人体测量和便携式a型超声来估计老年人体脂率的方程的开发和验证。","authors":"Lara Vilar Fernandes , Gabriela Benatti de Oliveira , Rita S. Guerra , Xiayu Summer Chen , Flavia Cristina Drumond Andrade , Teresa F. Amaral , Ana Carolina Junqueira Vasques , Ligiana Pires Corona","doi":"10.1016/j.clnesp.2025.08.012","DOIUrl":null,"url":null,"abstract":"<div><h3>Background & aims</h3><div>Considering the importance of accurate methods for assessing body fat in older adults, this study aimed to develop and validate equations for estimating body fat percentage (%BF) using portable A-mode ultrasound (US) and anthropometric data in older adults.</div></div><div><h3>Methods</h3><div>A total of 149 healthy older adults (≥60 years old) were included in the cross-sectional study. Three-fourths (n = 111) were randomly assigned to the development sample and one-fourth to the validation sample (n = 38). Prediction equations using body mass index (BMI), sex, triceps, subscapular, abdominal, and anterior thigh subcutaneous fat thickness (SFT), and thigh circumference (TC) were generated for the development sample through multiple regression analysis and validated through the validation sample.</div></div><div><h3>Results</h3><div>Three equations were developed, the first with six parameters (R<sup>2</sup> = 0.78; SEE = 3.05), the second with the same six parameters as the first plus thigh circumference (R<sup>2</sup> = 0.80; SEE = 2.96), and the third with three parameters (R<sup>2</sup> = 0.77; SEE = 3.19). There was no statistical difference between the %BF estimated by the equations developed using portable A-mode US and the %BF estimated by Dual-energy x-ray absorptiometry (DXA) in the development and validation samples. The three equations showed mean errors from 0.16 to 0.27 % and agreement limits from −5.89 to 6.28 %.</div></div><div><h3>Conclusion</h3><div>The best model had sex, BMI, triceps, subscapular, abdominal, anterior thigh SFT, and TC as predictor variables. The equation with only one US measurement (triceps SFT) could be an option for estimating %BF in clinical practice due to its practicality and quickness.</div></div>","PeriodicalId":10352,"journal":{"name":"Clinical nutrition ESPEN","volume":"69 ","pages":"Pages 608-615"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and validation of equations to estimate the body fat percentage in older adults using anthropometric measurements and portable a-mode ultrasound\",\"authors\":\"Lara Vilar Fernandes , Gabriela Benatti de Oliveira , Rita S. Guerra , Xiayu Summer Chen , Flavia Cristina Drumond Andrade , Teresa F. Amaral , Ana Carolina Junqueira Vasques , Ligiana Pires Corona\",\"doi\":\"10.1016/j.clnesp.2025.08.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & aims</h3><div>Considering the importance of accurate methods for assessing body fat in older adults, this study aimed to develop and validate equations for estimating body fat percentage (%BF) using portable A-mode ultrasound (US) and anthropometric data in older adults.</div></div><div><h3>Methods</h3><div>A total of 149 healthy older adults (≥60 years old) were included in the cross-sectional study. Three-fourths (n = 111) were randomly assigned to the development sample and one-fourth to the validation sample (n = 38). Prediction equations using body mass index (BMI), sex, triceps, subscapular, abdominal, and anterior thigh subcutaneous fat thickness (SFT), and thigh circumference (TC) were generated for the development sample through multiple regression analysis and validated through the validation sample.</div></div><div><h3>Results</h3><div>Three equations were developed, the first with six parameters (R<sup>2</sup> = 0.78; SEE = 3.05), the second with the same six parameters as the first plus thigh circumference (R<sup>2</sup> = 0.80; SEE = 2.96), and the third with three parameters (R<sup>2</sup> = 0.77; SEE = 3.19). There was no statistical difference between the %BF estimated by the equations developed using portable A-mode US and the %BF estimated by Dual-energy x-ray absorptiometry (DXA) in the development and validation samples. The three equations showed mean errors from 0.16 to 0.27 % and agreement limits from −5.89 to 6.28 %.</div></div><div><h3>Conclusion</h3><div>The best model had sex, BMI, triceps, subscapular, abdominal, anterior thigh SFT, and TC as predictor variables. The equation with only one US measurement (triceps SFT) could be an option for estimating %BF in clinical practice due to its practicality and quickness.</div></div>\",\"PeriodicalId\":10352,\"journal\":{\"name\":\"Clinical nutrition ESPEN\",\"volume\":\"69 \",\"pages\":\"Pages 608-615\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical nutrition ESPEN\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405457725028980\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical nutrition ESPEN","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405457725028980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Development and validation of equations to estimate the body fat percentage in older adults using anthropometric measurements and portable a-mode ultrasound
Background & aims
Considering the importance of accurate methods for assessing body fat in older adults, this study aimed to develop and validate equations for estimating body fat percentage (%BF) using portable A-mode ultrasound (US) and anthropometric data in older adults.
Methods
A total of 149 healthy older adults (≥60 years old) were included in the cross-sectional study. Three-fourths (n = 111) were randomly assigned to the development sample and one-fourth to the validation sample (n = 38). Prediction equations using body mass index (BMI), sex, triceps, subscapular, abdominal, and anterior thigh subcutaneous fat thickness (SFT), and thigh circumference (TC) were generated for the development sample through multiple regression analysis and validated through the validation sample.
Results
Three equations were developed, the first with six parameters (R2 = 0.78; SEE = 3.05), the second with the same six parameters as the first plus thigh circumference (R2 = 0.80; SEE = 2.96), and the third with three parameters (R2 = 0.77; SEE = 3.19). There was no statistical difference between the %BF estimated by the equations developed using portable A-mode US and the %BF estimated by Dual-energy x-ray absorptiometry (DXA) in the development and validation samples. The three equations showed mean errors from 0.16 to 0.27 % and agreement limits from −5.89 to 6.28 %.
Conclusion
The best model had sex, BMI, triceps, subscapular, abdominal, anterior thigh SFT, and TC as predictor variables. The equation with only one US measurement (triceps SFT) could be an option for estimating %BF in clinical practice due to its practicality and quickness.
期刊介绍:
Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.