首页> 外文期刊>Nutrition >Validation of a three-frequency bioimpedance spectroscopic method for body composition analysis.
【24h】

Validation of a three-frequency bioimpedance spectroscopic method for body composition analysis.

机译:验证三频生物阻抗光谱法进行身体成分分析的方法。

获取原文
获取原文并翻译 | 示例
       

摘要

OBJECTIVE: We assessed whether whole-body multiple frequency impedance (MFBIA) data obtained at a few discrete frequencies could be used to estimate accurately resistance at 0 (R(0)) and infinite (R(infinity)) frequencies required for prediction of body composition by mixture theory. METHODS: Fat-free mass (FFM) was measured in 157 subjects (77 males, 80 females; body mass index [BMI] 17.8-41.7 kg/m(2)) by dual X-ray absorptiometry (DXA). Whole-body impedance was measured and R(0) and R(infinity) were calculated by three different methods. FFM predicted using the different values of R(0) and R(infinity) were compared with each other and with the reference DXA values for all subjects stratified according to BMI band (BMI <24.9 kg/m(2), normal weight; BMI 25-29.9 kg/m(2), overweight; BMI >30 kg/m(2), obese). RESULTS: All BIA procedures predicted an FFM that was slightly but significantly different from DXA-derived values, underestimating by 0.24 to 1.4 kg in the normal-weight subjects and overestimating by 5.3 to 7.1 kg in the obese subjects. Although statistically significant, the different impedance procedures were highly correlated (r > 0.98), with small limits of agreement (approximately +/-2%) when used to predict FFM. Predictive power was associated with BMI, worsening as BMI increased. CONCLUSION: MFBIA can be used to estimate impedance parameters required for mixture theory prediction of body composition, but this approach requires adjustment for BMI to be accurate.
机译:目的:我们评估了在几个离散频率处获得的全身多频阻抗(MFBIA)数据是否可用于准确估计人体预测所需的0(R(0))和无限(R(infinity))频率的电阻混合理论组成。方法:采用双X射线吸收法(DXA)测量了157名受试者(77名男性,80名女性;体重指数[BMI] 17.8-41.7 kg / m(2))中的无脂肪质量(FFM)。测量了全身阻抗,并通过三种不同的方法计算了R(0)和R(无穷大)。将根据RMI(0)和R(Infinity)的不同值预测的FFM相互比较,并与根据BMI频段分层的所有受试者的参考DXA值进行比较(BMI <24.9 kg / m(2),正常体重; BMI 25-29.9 kg / m(2),超重; BMI> 30 kg / m(2),肥胖)。结果:所有BIA程序均预测FFM与DXA得出的值略有差异,但有显着差异,在正常体重受试者中低估0.24至1.4 kg,在肥胖受试者中高估5.3至7.1 kg。尽管具有统计学意义,但当用于预测FFM时,不同的阻抗程序高度相关(r> 0.98),一致性很小(约+/- 2%)。预测能力与BMI相关,随着BMI的增加而恶化。结论:MFBIA可用于估计混合物理论预测人体成分所需的阻抗参数,但这种方法需要调整BMI才能准确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号