Problems and Opportunities in the use of Bioelectrical Impedance Analysis for Assessing Body Composition During Ketogenic Diets: A Scoping Review.

IF 9.5 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Current Obesity Reports Pub Date : 2024-09-01 Epub Date: 2024-05-27 DOI:10.1007/s13679-024-00573-0
Antonio Paoli, Francesco Campa
{"title":"Problems and Opportunities in the use of Bioelectrical Impedance Analysis for Assessing Body Composition During Ketogenic Diets: A Scoping Review.","authors":"Antonio Paoli, Francesco Campa","doi":"10.1007/s13679-024-00573-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of the review: </strong>The use of bioelectrical impedance analysis (BIA) for monitoring body composition during the ketogenic diet has experienced a rapid surge. This scoping review aimed to assess the validity of procedures applying BIA in the ketogenic diet and to suggest best practices for optimizing its utilization.</p><p><strong>Recent findings: </strong>We conducted a systematic scoping review of peer-reviewed literature involving BIA for assessing body composition in individuals adhering to a ketogenic diet. Searches of international databases yielded 1609 unique records, 72 of which met the inclusion criteria and were reviewed. Thirty-five studies used foot-to-hand technology, 34 used standing position technology, while 3 did not declare the technology used. Raw bioelectrical parameters were reported in 21 studies. A total of 196 body mass components were estimated, but predictive equations were reported in only four cases. Most research on BIA during ketogenic diets did not report the equations used for predicting body composition, making it impossible to assess the validity of BIA outputs. Furthermore, the exceedingly low percentage of studies reporting and analyzing raw data makes it challenging to replicate methodologies in future studies, highlighting that BIA is not being utilized to its full potential. There is a need for more precise technology and device characteristics descriptions, full report of raw bioelectrical data, and predictive equations utilized. Moreover, evaluating raw data through vectorial analysis is strongly recommended. Eventually, we suggest best practices to enhance BIA outcomes during ketogenic diets.</p>","PeriodicalId":10846,"journal":{"name":"Current Obesity Reports","volume":null,"pages":null},"PeriodicalIF":9.5000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11306364/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Obesity Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s13679-024-00573-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose of the review: The use of bioelectrical impedance analysis (BIA) for monitoring body composition during the ketogenic diet has experienced a rapid surge. This scoping review aimed to assess the validity of procedures applying BIA in the ketogenic diet and to suggest best practices for optimizing its utilization.

Recent findings: We conducted a systematic scoping review of peer-reviewed literature involving BIA for assessing body composition in individuals adhering to a ketogenic diet. Searches of international databases yielded 1609 unique records, 72 of which met the inclusion criteria and were reviewed. Thirty-five studies used foot-to-hand technology, 34 used standing position technology, while 3 did not declare the technology used. Raw bioelectrical parameters were reported in 21 studies. A total of 196 body mass components were estimated, but predictive equations were reported in only four cases. Most research on BIA during ketogenic diets did not report the equations used for predicting body composition, making it impossible to assess the validity of BIA outputs. Furthermore, the exceedingly low percentage of studies reporting and analyzing raw data makes it challenging to replicate methodologies in future studies, highlighting that BIA is not being utilized to its full potential. There is a need for more precise technology and device characteristics descriptions, full report of raw bioelectrical data, and predictive equations utilized. Moreover, evaluating raw data through vectorial analysis is strongly recommended. Eventually, we suggest best practices to enhance BIA outcomes during ketogenic diets.

Abstract Image

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
使用生物电阻抗分析评估生酮饮食期间身体成分的问题和机遇:范围综述》。
综述的目的:在生酮饮食过程中,使用生物电阻抗分析(BIA)监测身体成分的做法迅速兴起。本范围综述旨在评估生酮饮食中应用生物电阻抗分析的程序的有效性,并提出优化其应用的最佳实践建议:我们对同行评议的文献进行了系统的范围界定审查,这些文献涉及生酮饮食中评估身体成分的 BIA。通过对国际数据库的搜索,我们获得了 1609 条独特的记录,其中 72 条符合纳入标准并接受了审查。其中 35 项研究使用了脚到手技术,34 项研究使用了站立姿势技术,3 项研究未说明所使用的技术。21 项研究报告了原始生物电参数。共估算出 196 个体重成分,但只有 4 项研究报告了预测方程。大多数关于生酮饮食期间 BIA 的研究都没有报告用于预测身体成分的方程,因此无法评估 BIA 输出结果的有效性。此外,报告和分析原始数据的研究比例极低,这使得在未来的研究中复制方法具有挑战性,突出表明 BIA 并未充分发挥其潜力。我们需要更精确的技术和设备特征描述、完整的原始生物电数据报告以及所使用的预测方程。此外,我们强烈建议通过矢量分析对原始数据进行评估。最后,我们建议在生酮饮食期间采用最佳实践来提高 BIA 的效果。
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
Current Obesity Reports
Current Obesity Reports Medicine-General Medicine
CiteScore
16.40
自引率
1.10%
发文量
25
期刊介绍: The main objective of Current Obesity Reports is to provide expert review articles on recent advancements in the interdisciplinary field of obesity research. Our aim is to offer clear, insightful, and balanced contributions that will benefit all individuals involved in the treatment and prevention of obesity, as well as related conditions such as cardiovascular diseases, endocrine disorders, gynecological issues, cancer, mental health, respiratory complications, and rheumatological diseases. We strive to redefine the way knowledge is expressed and provide organized content for the benefit of our readership.
期刊最新文献
Osteokines in Nonalcoholic Fatty Liver Disease. Correction: A Systematic Review of Proteomics in Obesity: Unpacking the Molecular Puzzle. Alcohol Drinking Impacts on Adiposity and Steatotic Liver Disease: Concurrent Effects on Metabolic Pathways and Cardiovascular Risks. A Systematic Review of Proteomics in Obesity: Unpacking the Molecular Puzzle. Sarcopenic Obesity and Cardiovascular Disease: An Overlooked but High-Risk Syndrome.
×
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