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    Bioelectrical Impedance Analysis underestimates Dual-Energy X-Ray Absorptiometry in evaluating whole-body total fat and percent fat in a Canadian population-based cohort of school-aged children with and without asthma
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    Keywords:
    Bioelectrical Impedance Analysis
    Dual-Energy X-ray Absorptiometry
    Dual energy
    The purpose of this study was to validate a Bioelectrical Impedance Analysis (BIA) equation for prediction of Bone Mineral Content (BMC) against Dual energy X-ray Absorptiometry (DXA) in Indian adults. Healthy 113 subjects were investigated by two methods: BMC was measured by DXA and bioelectrical impedance at various frequencies was measured by a commercial segmental multi-frequency BIA instrument. Body parameters were derived from impedance data and a new BIA equation was developed for the estimation of BMC, which exhibited high correlation and low prediction error. It was found valid in subjects with large variations in Body Mass (BM) and age.
    Bioelectrical Impedance Analysis
    Dual-Energy X-ray Absorptiometry
    Dual energy
    Bone mineral content
    Citations (13)
    Though bioelectrical impedance analysis (BIA) is a favorable tool for assessing body composition to estimate nutritional status and physical fitness, such as sarcopenia, there are accuracy issues. Hence, high-frequency (HF) BIA equipment uses an additional frequency of 2 and 3 MHz and has been developed as a commercial model. However, there are no studies validating the accuracy and safety of HF-BIA. Therefore, this study aims to assess the validity of HF-BIA in analyzing body composition relative to dual-energy X-ray absorptiometry (DEXA). Appendicular lean mass (ALM), fat-free mass (FFM), and percentage of body fat (PBF) were assessed by HF-BIA and DEXA in 109 individuals; 50.5% (n = 55) were males. The average age and body mass index (BMI) were 43.4 ± 14.7 years and 25.5 ± 6.7 in males and 44.9 ± 14.1 years and 24.0 ± 6.4 in females, respectively. The HF-BIA results showed a high correlation with the DEXA results for assessing ALM (standard coefficient beta (β) ≥ 0.95), FFM (β ≥ 0.98, coefficient of determinations (R2) ≥ 0.95), and PBF (β ≥ 0.94, R2 ≥ 0.89). Body composition measured by HF-BIA demonstrated good agreement with DEXA in Korean adults.
    Bioelectrical Impedance Analysis
    Dual-Energy X-ray Absorptiometry
    Dual energy
    Body Fat Percentage
    Body water
    Citations (36)
    연구배경: 생체전기저항측정법 (bioelectrical impedance analysis, 이하 BIA)은 비교적 정확하면서도 검사방법이 간단하고, 비싸지 않으며, 운반이 간편하고, 안전하여 임상에서 손쉽게 사용될 수 있는 체성분 평가 방법이다. 그러 나 비만한 사람에서는 BIA 검사의 오차가 증가된다는 많은 보고가 있다. 본 연구는 비만 여성을 대상으로 BIA의 정확도를 검증하고, BIA의 오차에 영향을 주는 요인들에 대해 알아보고자 하였다. 방법: 2006년에 서울 소재 일개 연구소의 임상시험에 참여한 다른 건강상의 문제가 없는 21~49세의 체질량지수 25 kg/m 2 이상의 비만 여성 173명을 연구 대상으로 하였다. BIA와 이중에너지방사선흡수계측법 (dual energy X-ray absorptiometry, 이하 DEXA) 측정치의 일치도를 평가하기 위하여 상관분석과 Bland-Altman 분석을 시행하 였으며, BIA의 오차에 영향을 주는 요인을 분석하기 위하여 BIA와 DEXA의 측정차와 관련 변수 간의 상관분석과 일원분산분석 및 다중회귀분석을 시행하였다. 결과: 비만 여성에서 BIA 측정치와 DEXA 측정치는 높은 상관관계를 보이고 있었으며 [r = 0.910 (FM), 0.838 (FFM)], BIA는 DEXA와 비교하였을 때, 체지방량에 대해서는 일치도가 매우 높았으나 [ΔFM (BIA-DEXA): 0.5 kg (-3.8~4.8; 95% 신뢰구간)], 제지방량은 평균 2.8 kg (-1.9~7.5; 95% 신뢰구간)을 과대 측정하였다. 체지방이 증가함에 따라 BIA 검사는 제지방량을 과대 측정하고, 체지방량을 과소 측정하는 경향을 보였다. 허리둘레는 상관 분석에서는 BIA 측정의 오차와 유의한 관계를 보이지 않았으나, 체지방률에 따라 층화하거나, 체지방률을 보정하 면, 허리둘레 또한 BIA 측정의 오차와 유의한 관련이 나타났으며, 관련성은 체지방률과 반대 방향이었다. 결론: 비만 여성에서 BIA와 DEXA 측정치의 상관관계와 일치도는 높았다. 그러나 체지방의 양과 분포에 따라 BIA 검사의 오차가 증감될 수 있으므로, 비만 여성에서 BIA 검사 결과를 해석할 때, 체지방의 양과 분포에 대한 고려가 필요할 것이다. ꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏꠏ 중심단어: 생체전기저항측정법, 이중에너지방사선흡수계측법, 체성분, 체지방, 제지방, 비만
    Bioelectrical Impedance Analysis
    Dual-Energy X-ray Absorptiometry
    Dual energy
    Citations (8)
    This study aimed at comparing BIA and DXA results in assessing body composition in young adults depending on their physical activity level. Eighty healthy 19-30 years old subjects were enrolled and their body composition (Fat Mass and Fat-Free Mass) was assessed by dual-energy X-ray absorptiometry (DXA) and by a newly developed Bioelectrical Impedance Analyzer (BIA - Tanita MC780). A seven-day physical activity level was assessed using a 3-axial accelerometer. DXA-FM% and BIA-FM% were correlated (p<0.001; r= 0.852; ICC [IC95%]: 0.84 [0.75 - 0.90]; concordance coefficient: 0.844). DXA-FFM and BIA FFM were correlated (p<0.001; r=0.976; ICC [IC95%]: 0.95 [0.93 - 0.97], concordance coefficient: 0.955). DXA and BIA measurements of FM% and FFM were highly correlated in both boys and girls regardless of the physical activity level. Compared with DXA scans, newly developed bioelectrical impedance analyzers provide satisfactory fat mass and lean mass measures in healthy young women and men, despite their physical activity level.
    Bioelectrical Impedance Analysis
    Concordance
    Dual-Energy X-ray Absorptiometry
    Dual energy
    Fat free mass
    Citations (118)
    Background: Adipose tissue excess is associated with adverse health outcomes, including type 2 diabetes. Body mass index (BMI) is used to evaluate obesity but is inaccurate as it does not account for muscle mass, bone density, and fat distribution. Accurate measurement of adipose tissue through dual-energy X-ray absorptiometry (DXA) and computed axial tomography (CT) is crucial for managing and monitoring adiposity-related diseases. Still, these are not easily accessible in most hospitals in Mexico. Bioelectrical impedance analysis (BIA) is non-invasive and low-cost but may not be reliable in conditions affecting the body’s hydration status, like diabetes. Objectives: To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM). Methods: Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method. Results: We evaluated the accuracy of FM estimation through BIA and DXA in 309 subjects with type 2 diabetes. Results showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index (FMI). At the group level, we found BIA accurate; however, at the individual level, it is not. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA (P ⩽ .01) in both sexes. BIA demonstrated high precision in estimating fat mass. We were able to provide a correction factor of 0.55 kg in men. Conclusion: BIA is inaccurate compared to DXA for body composition assessment in patients with diabetes. Inaccurate measurements can result in misclassification. However, BIA is precise for body composition assessment in patients with diabetes, so it is reliable for tracking patient progress over time.
    Bioelectrical Impedance Analysis
    Dual-Energy X-ray Absorptiometry
    Concordance
    Citations (0)