Accuracy of Segmental Bioelectrical Impedance Analysis for Predicting Body Composition in Pre- and Postmenopausal Women

Tanaka, Noriko; Hanawa, Satoshi; Murakami, Haruka; Cao, Zhen-Bo; Tanimoto, Mitsutoshi; Sanada, Kiyoshi; Miyachi, Motohiko

doi:10.1016/j.jocd.2014.07.002

Cited by 17 publications

(13 citation statements)

References 26 publications

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“…Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, portable, and requires no radiation exposure [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Thus, BIA may be useful as a portable alternative to DXA [ 25 , 26 , 27 , 28 , 29 ]. However, a large variety of models have been commercially supplied by different companies, and for most consumer products, the equations used to estimate ALM or SMM are not disclosed, making them difficult to use for research purposes [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Developing and Validating an Age-Independent Equation Using Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing a Cutoff for Sarcopenia

Yamada

Nishizawa²,

Uchiyama³

et al. 2017

IJERPH

Self Cite

113

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Background: Appendicular skeletal muscle (or lean) mass (ALM) estimated using dual-energy X-ray absorptiometry (DXA) is considered to be a preferred method for sarcopenia studies. However, DXA is expensive, has limited portability, and requires radiation exposure. Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, and portable; thus BIA might be useful in sarcopenia investigations. However, a large variety of models have been commercially supplied by different companies, and for most consumer products, the equations estimating ALM are not disclosed. It is therefore difficult to use these equations for research purposes. In particular, the BIA equation is often age-dependent, which leads to fundamental difficulty in examining age-related ALM loss. The aims of the current study were as follows: (1) to develop and validate an equation to estimate ALM using multi-frequency BIA (MF-BIA) based on theoretical models, and (2) to establish sarcopenia cutoff values using the equation for the Japanese population. Methods: We measured height (Ht), weight, and ALM obtained using DXA and a standing-posture 8-electrode MF-BIA (5, 50, 250 kHz) in 756 Japanese individuals aged 18 to 86-years-old (222 men and 301 women as developing equation group and 97 men and 136 women as a cross validation group). The traditional impedance index (Ht2/Z50) and impedance ratio of high and low frequency (Z250/Z5) of hand to foot values were calculated. Multiple regression analyses were conducted with ALM as dependent variable in men and women separately. Results: We created the following equations: ALM = (0.6947 × (Ht2/Z50)) + (−55.24 × (Z250/Z5)) + (−10,940 × (1/Z50)) + 51.33 for men, and ALM = (0.6144 × (Ht2/Z50)) + (−36.61 × (Z250/Z5)) + (−9332 × (1/Z50)) + 37.91 for women. Additionally, we conducted measurements in 1624 men and 1368 women aged 18 to 40 years to establish sarcopenia cutoff values in the Japanese population. The mean values minus 2 standard deviations of the skeletal muscle mass index (ALM/Ht2) in these participants were 6.8 and 5.7 kg/m2 in men and women, respectively. Conclusion: The current study established and validated a theoretical and age-independent equation using MF-BIA to estimate ALM and provided reasonable sarcopenia cutoff values.

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Section: Introductionmentioning

confidence: 99%

Developing and Validating an Age-Independent Equation Using Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing a Cutoff for Sarcopenia

Yamada

Nishizawa²,

Uchiyama³

et al. 2017

IJERPH

Self Cite

113

View full text Add to dashboard Cite

show abstract

“…Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, portable, and requires no radiation exposure [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Thus, BIA may be useful as a portable alternative to DXA [25][26][27][28][29]. However, a large variety of models have been commercially supplied by different companies, and for most consumer products, the equations used to estimate ALM or SMM are not disclosed, making them difficult to use for research purposes [25].…”

Section: Introductionmentioning

confidence: 99%

Developing and validating an age-independent equation of multi-frequency bioelectrical impedance analysis for estimation of appendicular skeletal muscle mass and establishing sarcopenia cutoff

Yamada¹,

Nishizawa²,

Uchiyama³

et al. 2017

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Appendicular skeletal muscle (or lean) mass (ALM) estimated by dual-energy Xray absorptiometry (DXA) is considered to be a preferred method for sarcopenia studies. However, DXA is expensive, has limited portability, and requires radiation exposure. Bioelectrical impedance analysis (BIA) is inexpensive, easy to use, and portable; thus BIA might be useful in sarcopenia investigations. However, a large variety of models have been commercially supplied by different companies, and for most consumer products, the equations estimating ALM are not disclosed. It is therefore difficult to use these equations for research purposes. In particular, the BIA equation is often age-dependent, which leads to fundamental difficulty in examining age-related ALM loss. The aims of the current study were: 1) to develop and validate an equation to estimate ALM using multi-frequency BIA (MF-BIA) using theoretical models, and 2) to establish sarcopenia cutoff values using the equation for the Japanese population. Methods: We measured height (Ht), weight, and ALM obtained by DXA and a standing-posture 8-electrode MF-BIA (5, 50, 250 kHz) in 756 Japanese individuals aged 18 to 86 years old (222 men and 301 women as developing equation group and 97 men and 136 women as a cross validation group). The traditional impedance index (Ht 2 / Z 50 ) and impedance ratio of high and low frequency (Z 250 /Z 5 ) of hand to foot values were calculated. Multiple regression analyses were conducted with ALM as dependent variable in men and women separately. Results: We created the following equations: ALM = [0.6947 × (Ht 2 /Z 50 )] + [-55.24 × (Z 250 /Z 5 )] + [-10940 × (1/Z 50 )] + 51.33 for men, and ALM = [0.6144 × (Ht 2 /Z 50 )] + [-36.61 × (Z 250 /Z 5 )] + [-9332 × (1/Z 50 )] + 37.91 for women. Additionally, we conducted measurements in 1624 men and 1368 women aged 18 to 40 years to establish sarcopenia cutoff values in the Japanese population. The mean values minus 2 standard deviations of the skeletal muscle mass index (ALM/Ht 2 ) in these participants were 6.8 and 5.7 kg/m 2 in men and women, respectively. Conclusion: the current study established and validated a theoretical and age-independent equation using MF-BIA to estimate ALM and provided reasonable sarcopenia cutoff values.

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“…Resistance and reactance are used to estimate total body water, and by extension, fat mass and lean mass, with the latter including bone 16 . The validity and predictive value of BIA in menopausal women has been confirmed by a recent study 17 . Skeletal muscle mass was calculated by the method of Janssen et al 18 , who subsequently indexed skeletal muscle mass to height for a skeletal muscle index (SMI = skeletal muscle mass (kg) / height (m 2 )).…”

Section: Methodsmentioning

confidence: 68%

Association of Lean Body Mass to Menopausal Symptoms: The Study of Women’s Health Across the Nation

Woods

Hess

Biddington

et al. 2020

Preprint

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Background The purpose of this study was to examine the association of lean body mass (LBM) to the development of vasomotor symptoms (VMS) as women transition through menopause. Methods This study is a secondary use of data available for public use from follow up visits six through 10 for participants in the Study of Women’s Health Across the Nation. The study examined 2,533 women, between the ages 42 – 52 years, each year over a10-year period. Data was modeled for associations of lean body mass and VMS. Changes in LBM since prior visit and since baseline were also modeled along with differences in means using binary logistic regression, adjusting for covariates. Results LBM was significantly associated to concurrent VMS ( p = .036), percent change in LBM since prior visit ( p = .003), percent change since baseline ( p <.001), and overall means associations ( p = .023). LBM was not significant for VMS at individual visit measures. In mixed regression modeling, time was significant ( p <.0001) at all visits. The estimated probability of developing VMS decreases significantly as LBM increases. Conclusions Lean body mass is negatively associated with incident VMS. Our data suggests that maintaining higher levels of LBM during the menopausal transition may be protective against the development of VMS. Every woman will experience menopause in her life and the ability to potentially prevent the onset of specific symptoms through basic interventions, such as resistance training to increase lean body mass, may positively impact this large population.

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Accuracy of Segmental Bioelectrical Impedance Analysis for Predicting Body Composition in Pre- and Postmenopausal Women

Cited by 17 publications

References 26 publications

Developing and Validating an Age-Independent Equation Using Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing a Cutoff for Sarcopenia

Developing and Validating an Age-Independent Equation Using Multi-Frequency Bioelectrical Impedance Analysis for Estimation of Appendicular Skeletal Muscle Mass and Establishing a Cutoff for Sarcopenia

Developing and validating an age-independent equation of multi-frequency bioelectrical impedance analysis for estimation of appendicular skeletal muscle mass and establishing sarcopenia cutoff

Association of Lean Body Mass to Menopausal Symptoms: The Study of Women’s Health Across the Nation

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