Remarks on methods for estimating body composition parameters: reliability of skinfold and multiple frequency bioelectric impedance methods.

E Gualdi-Russo, S Toselli, L Squintani
{"title":"Remarks on methods for estimating body composition parameters: reliability of skinfold and multiple frequency bioelectric impedance methods.","authors":"E Gualdi-Russo,&nbsp;S Toselli,&nbsp;L Squintani","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>A sample of 104 adults underwent testing of body composition by multiple frequency bioelectric impedance analysis (MBIA) under controlled conditions, by anthropometric methods (skinfold thicknesses and BMI) and by the urinary creatinine method. The statistical comparison of body composition parameters (Fat, FFM, TBW), estimated by different methods for the same subjects, pointed out significant differences in mean values. The precision of skinfold and MBIA measurements was evaluated by a second control measurement. Concerning the MBIA, the reliability increased with increasing frequencies. Nevertheless, measurement reliability is higher for skinfolds than for MBIA. Under the condition that there is a real anthropometric technical ability, we affirm that the body composition parameters may at present be better estimated by the skinfold method.</p>","PeriodicalId":76854,"journal":{"name":"Zeitschrift fur Morphologie und Anthropologie","volume":"81 3","pages":"321-31"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift fur Morphologie und Anthropologie","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A sample of 104 adults underwent testing of body composition by multiple frequency bioelectric impedance analysis (MBIA) under controlled conditions, by anthropometric methods (skinfold thicknesses and BMI) and by the urinary creatinine method. The statistical comparison of body composition parameters (Fat, FFM, TBW), estimated by different methods for the same subjects, pointed out significant differences in mean values. The precision of skinfold and MBIA measurements was evaluated by a second control measurement. Concerning the MBIA, the reliability increased with increasing frequencies. Nevertheless, measurement reliability is higher for skinfolds than for MBIA. Under the condition that there is a real anthropometric technical ability, we affirm that the body composition parameters may at present be better estimated by the skinfold method.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人体成分参数估计方法评述:皮褶可靠性法和多频生物电阻抗法。
104名成年人在受控条件下通过多频生物电阻抗分析(MBIA)、人体测量法(皮褶厚度和BMI)和尿肌酐法检测身体成分。对同一受试者不同方法估算的体成分参数(Fat, FFM, TBW)进行统计比较,其平均值存在显著差异。皮褶和MBIA测量的精度通过第二次对照测量进行评价。MBIA的可靠性随频率的增加而增加。然而,与MBIA相比,皮肤皱褶的测量可靠性更高。在具有真正人体测量技术能力的条件下,我们肯定目前用皮肤折叠法可以更好地估计人体成分参数。
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
自引率
0.00%
发文量
0
期刊最新文献
Relapse of tagraxofusp treated blastic plasmacytoid dendritic cell neoplasm with loss of CD123 expression. Relationship between genetic anomalies of different levels and deviations in dermatoglyphic traits. Part 7: Dermatoglyphic peculiarities of females with cervical and endometrial carcinoma. The Schizodactylous Grasp of the Howling Monkey [Is head size modified by environmental factors?]. Size comparison of the male and female human corpus callosum from autopsy samples.
×
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