现实世界评估多频生物电阻分析 (MFBIA) 用于测量健康身体活跃人群的身体组成
Adam W Potter1, Leigh C Ward2,3, Christopher L Chapman4,5
1United States Army Research Institute of Environmental Medicine, Natick, MA, USA. adam.w.potter.civ@health.mil.
European journal of clinical nutrition
|September 16, 2025
概括
多频生物电阻分析 (MFBIA) 在现实环境中提供可靠的身体组成估计. 这种方法显示出高可靠性和适度准确性,用于全体水和身体组成,不包括内脏脂肪组织.
科学领域:
- 生理学 生理学 生理学
- 生物医学工程 生物医学工程
- 身体组成分析 身体成分分析
背景情况:
- 多频生物电阻分析 (MFBIA) 在受控条件下提供准确的身体成分数据.
- 由于饮食和运动等不受控制的因素,现实世界的环境对MFBIA准确性提出了挑战.
研究的目的:
- 在非实验室环境中评估MFBIA的可靠性和有效性.
- 为了比较MFBIA用双能X射线吸收计 (DXA) 估计的身体成分.
主要方法:
- 使用MFBIA (InBody 770) 和DXA来评估1000名健康成年人的身体组成.
- 测量包括脂肪质量 (FM),体脂百分比 (%BF),无脂肪质量 (FFM) 和内脏脂肪组织 (VAT).
- 通过重复测量来评估可靠性,并将总体水 (TBW) 与单频BIA (SFBIA) 相比较.
主要成果:
- 在男性和女性中,MFBIA对全身FM,%BF和FFM与DXA有很好的一致性.
- 主干FM的区域相关性最高,增值税的相关性最低.
- 无论是MFBIA还是DXA,都显示出高可靠性 (ICC>0.987).
- MFBIA和SFBIA对TBW表示适度的同意.
结论:
- MFBIA系统具有很高的重试可靠性.
- 在不受控制的环境中,MFBIA提供了一种适度准确的方法来评估身体成分和TBW.
- 与其他身体组成指标相比,MFBIA的增值税测量可能不那么准确.
更多相关视频
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
2.7K
07:44Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
Published on: July 14, 2023
1.7K
相关概念视频
01:30Methods to Assess Microbial Populations
Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
01:19Methods to Assess Microbial Communities
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...