Development of anthropometry-based equations for the estimation of the total body water in Koreans

被引:3
|
作者
Kim, MJ [1 ]
Lee, SW [1 ]
Kim, GA [1 ]
Lim, HJ [1 ]
Lee, SY [1 ]
Park, GH [1 ]
Song, JH [1 ]
机构
[1] Inha Univ, Coll Med, Dept Internal Med, Div Nephrol & Hypertens,Kidney Dis Res Grp, Inchon, South Korea
关键词
body water; electric impedance; anthropometry; body composition;
D O I
10.3346/jkms.2005.20.3.445
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
For developing race-specific anthropometry-based total body water (TBW) equations, we measured TBW using bioelectrical impedance analysis (TBWBIA) in 2,943 healthy Korean adults. Among them, 2,223 were used as a reference group. Two equations (TBWK1 and TBWK2) were developed based on age, sex, height, and body weight. The adjusted R2 was 0.908 for TBWK1 and 0.910 for TBWK2. The remaining 720 subjects were used for the validation of our results. Watson (TBWw) and HumeWeyers (TBWH) formulas were also used. In men,TBWBIA showed the highest correlation with TBWH, followed by TBWK1, TBWK2 and TBWw. TBWK1 and TBWK2 showed the lower root mean square errors (RMSE) and mean prediction errors (ME) than TBWw and TBWH. On the Bland-Altman plot, the correlations between the differences and means were smaller for TBWK2 than for TBWK1. On the contrary, TBWBIA showed the highest correlation with TBWw, followed by TBWK2, TBWK1, and TBWH in females. RMSE was smallest in TBWw, followed by TBWK2, TBWK1 and TBWH. ME was closest to zero for TBWK2, followed by TBWK1, TBWw and TBWH. The correlation coefficients between the means and differences were highest in TBWw, and lowest in TBWK2. In conclusion, TBWK2 provides better accuracy with a smaller bias than the TBWw or TBWH in males. TBWK2 shows a similar accuracy, but with a smaller bias than TBWw in females.
引用
收藏
页码:445 / 449
页数:5
相关论文
共 50 条
  • [1] Assessment of total body water from anthropometry-based equations using bioelectrical impedance as reference in Korean adult control and haemodialysis subjects
    Lee, SW
    Song, JH
    Kim, GA
    Lee, KJ
    Kim, MJ
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2001, 16 (01) : 91 - 97
  • [2] Anthropometry-based equations overestimate the urea distribution volume in hemodialysis patients
    Kloppenburg, WD
    Stegeman, CA
    de Jong, PE
    Huisman, PM
    KIDNEY INTERNATIONAL, 2001, 59 (03) : 1165 - 1174
  • [3] Novel Anthropometry-Based Calculation of the Body Heat Capacity in the Korean Population
    Duong Duc Pham
    Lee, Jeong Hoon
    Lee, Young Boum
    Park, Eun Seok
    Kim, Ka Yul
    Song, Ji Yeon
    Kim, Ji Eun
    Leem, Chae Hun
    PLOS ONE, 2015, 10 (11):
  • [4] DEVELOPMENT OF A NEW ANTHROPOMETRY EQUATIONS FOR BODY FAT ESTIMATION IN SEVERE OBESE POPULATION
    Belarmino, Giliane
    Matos Torrinhas, Raquel Susana
    Sala, Priscila
    Horie, Lilian Mika
    Damiani, Lucas
    Heymsfield, Steven B.
    Waitzberg, Dan L.
    OBESITY SURGERY, 2016, 26 : S266 - S267
  • [5] Anthropometry-based estimation of body heat capacity in individuals aged 7–69 years: the Size Korea Survey 2010
    Duong Duc Pham
    Jeong Hoon Lee
    Ka Yul Kim
    Ji Yeon Song
    Ji Eun Kim
    Chae Hun Leem
    Scientific Reports, 8
  • [6] Accuracy of anthropometry-based equations versus air-displacement plethysmography for the estimation of fat mass in rural Gambian infants
    Kimes, O. L.
    Doel, A. M.
    Naumenko, D. J.
    Washabaugh, J. R.
    Moore, S. E.
    Bernstein, R. M.
    AMERICAN JOURNAL OF HUMAN BIOLOGY, 2021, 33
  • [7] Anthropometry-based estimation of body heat capacity in individuals aged 7-69 years: the Size Korea Survey 2010
    Duong Duc Pham
    Lee, Jeong Hoon
    Kim, Ka Yul
    Song, Ji Yeon
    Kim, Ji Eun
    Leem, Chae Hun
    SCIENTIFIC REPORTS, 2018, 8
  • [8] Prediction of appendicular skeletal muscle mass of older women using anthropometry-based equations
    Rathnayake, Nirmala
    Lekamwasam, Sarath
    Rathnayake, Hasanga
    CEYLON MEDICAL JOURNAL, 2021, 66 (01) : 50 - 52
  • [9] Anthropometry-based Equations to Estimate Body Composition: A Suitable Alternative in Renal Transplant Recipients and Patients With Nondialysis Dependent Kidney Disease?
    Wilkinson, Thomas J.
    Richler-Potts, Danielle
    Nixon, Daniel G. D.
    Neale, Jill
    Smith, Alice C.
    JOURNAL OF RENAL NUTRITION, 2019, 29 (01) : 16 - 23
  • [10] Anthropometry-based prediction of body composition in early infancy compared to air-displacement plethysmography
    Olga, Laurentya
    van Beijsterveldt, Inge A. L. P.
    Hughes, Ieuan A.
    Dunger, David B.
    Ong, Ken K.
    Hokken-Koelega, Anita C. S.
    De Lucia Rolfe, Emanuella
    PEDIATRIC OBESITY, 2021, 16 (11):