Publications by authors named "Kuen-chang Hsieh"
Article Synopsis
- - Bone mineral density (BMD) is important for diagnosing osteoporosis, and bioelectrical impedance analysis (BIA) offers a new, fast, and safe method for its assessment.
- - A study involving 318 healthy adults in Taiwan compared BIA measurements of whole-body BMD with the established dual-energy X-ray absorptiometry (DXA) method, finding a correlation but significant differences in results.
- - While BIA shows potential for convenient BMD screening, its accuracy and reliability need further improvement, as there remains a notable bias when compared to the DXA standard.
Background: The lean soft tissue mass (LSTM) of the limbs is approximately 63% of total skeletal muscle mass. For athletes, measurement of limb LSTM is the basis for rapid estimation of skeletal muscle mass. This study aimed to establish the estimation equation of LSTM in Asian athletes using bioelectrical impedance analysis (BIA).
View Article and Find Full Text PDFFor the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Ninety-two older adults with normal mobility were enrolled (47 females, 45 males), and were randomly divided into a modeling group (MG, n = 62) and validation group (VG, n = 30).
View Article and Find Full Text PDFWe investigated differences in body composition measurements for the whole body and limb segments in elite male wrestlers between results of multi-frequency bioelectrical impedance analyses (MF) and dual energy X-ray absorptiometry (DXA). Sixty-six elite male wrestlers from Taiwan were recruited. Wrestlers' body fat percentage (PBF), whole body fat-free mass (FFM), whole body lean soft tissue mass (LSTM), and fat-free mass of arms, legs and trunk (FM, FFM, FFM) were measured by MF and DXA, and analyzed using Pearson correlation coefficient and Bland-Altman plot.
View Article and Find Full Text PDFAbdominal subcutaneous fat tissue (ASFT) is an independent predictor of mortality. This prospective observational study aimed to establish a rapid, safe, and convenient estimation equation for abdominal subcutaneous fat area (SFA) using bioimpedance analysis (BIA) combined with sagittal abdominal diameter (SAD). A total of 520 adult subjects were recruited and were randomly divided into 2/3 ( = 346) and 1/3 ( = 174) to form a modeling group (MG) and a validation group (VG), respectively.
View Article and Find Full Text PDFThis study aimed to investigate the relationship between bone mineral density (BMD) and height-adjusted resistance (R/H), reactance (Xc/H) and phase angle (PhA). A total of 61 male and 64 female subjects aged over 60 years were recruited from middle Taiwan. The R and Xc were measured using Bodystat Quadscan 4000 at a frequency of 50 kHz.
View Article and Find Full Text PDFPurpose: To investigate the potential of standing 8-electrode bioelectrical impedance analysis (BIA) for assessing visceral fat area (VFA) and body fat mass (BFM) in athletes.
Materials And Methods: A total of 95 subjects (50 males and 45 females) were recruited. VFA and BFM measurements were obtained using three standing 8-electrode BIA devices, InBody230, InBody770, and IOI353.
Background: Bioelectrical impedance vector analysis (BIVA) has been used for prediction of muscle performance. However, little is known about BIVA in Asian adults, and even less is known about using standing BIVA devices. Standing impedance analyzer allows quicker and more convenient way to gather data than conventional supine analyzer and is more suitable for clinical practice.
View Article and Find Full Text PDFModern bioelectrical impedance analysis (BIA) provides a wide range of body composition estimates such as fat mass (FM), lean body mass (LBM), and body water, using specific algorithms. Assuming that the fat free mass (FFM) and LBM can be accurately estimated by the 8-electrode BIA analyzer (BIA; InBody230, Biospace), the bone mineral content (BMC) may be calculated by subtracting the LBM from the FFM estimates based on the three-compartment (3C) model. In this cross-sectional study, 239 healthy Taiwanese adults (106 male and 133 female) aged 20-45 years were recruited for BIA and dual-energy X-ray absorptiometry (DXA) measurements of the whole body and body segments, with DXA as the reference.
View Article and Find Full Text PDFBackground: Bioelectrical impedance analysis (BIA) is a widely available tool which provides mineral estimate. However, BIA is not currently recognized as a bone mineral measuring method. This study aimed to explore the ability of BIA to predict bone mineral content (BMC) in children, using dual-energy X-ray absorptiometry as a gold standard.
View Article and Find Full Text PDFArticle Synopsis
- * The findings revealed a moderate correlation between LBIA measurements and VFA assessed via CT scans, with a correlation coefficient of 0.789 and significant differences noted (p < 0.001).
- * Overall, the results indicate that LBIA might not be a reliable method for accurately estimating visceral fat in clinical settings due to its limitations.
Article Synopsis
- BIA is a useful method for tracking body composition changes in children, but validation studies mostly focused on adults.
- In a study with healthy Taiwanese children aged 7-12, two BIA devices (Inbody 230 and Tanita BC-418) were compared with Dual X-ray absorptiometry (DXA) for accuracy.
- Both BIA devices accurately measured lean body mass, but they significantly underestimated fat mass and percentage body fat, suggesting caution in interpreting their results without further validation for specific child populations.
Article Synopsis
- This study developed a hand-to-hand (HH) model for estimating fat-free mass (FFM) using bioelectrical impedance analysis (BIA) and compared it with the standing hand-to-foot (HF) model and dual energy X-ray absorptiometry (DXA).
- Involving 704 healthy Chinese participants (403 men and 301 women), researchers calculated regression equations for FFM based on factors like height, weight, and age, achieving good correlation and agreement in results.
- Both hand-to-hand and hand-to-foot BIA models showed similar reliability, indicating that the HH model is a practical alternative for measuring FFM.
Article Synopsis
- Bioelectrical impedance analysis (BIA) is frequently used to assess body composition but its accuracy compared to other methods, like DXA, is debated, especially among different levels of obesity.
- A study involving 711 participants in Taiwan found that BIA measurements were highly correlated with DXA, yet BIA tended to underestimate body fat percentage in both genders, particularly in those with normal to high obesity levels.
- Overall, while BIA is convenient, it may not provide the most accurate estimates of body fat percentage for individuals with varying degrees of obesity.
Article Synopsis
- Bioelectrical impedance analysis (BIA) is utilized for evaluating body composition and this study compares cross-mode BIA (left hand to right foot) with hand-to-foot BIA for estimating fat-free mass (FFM).
- The research involved 264 men and 232 women, and used dual-energy x-ray absorptiometry (DXA) as the benchmark, finding strong correlations in FFM measurements from both BIA modes.
- Results indicate that cross-mode BIA provides comparable accuracy to hand-to-foot BIA in estimating FFM, making it a practical tool for assessing body composition in Chinese populations.
Article Synopsis
- The study aimed to create a mathematical model for predicting fat-free mass (FFM) in healthy Taiwanese individuals using a bioelectrical impedance analysis (BIA) technique.
- Researchers used dual-energy X-ray absorptiometry (DXA) to measure FFM in 554 participants and validated their regression model through double cross-validation across various body fat levels.
- Results showed strong correlations between BIA-predicted and DXA-measured FFM for both males and females, demonstrating that the BIA method effectively predicts FFM accurately across different body fat percentages.
Article Synopsis
- - The study aimed to create a quick and accurate method to estimate visceral fat area (VFA) at the L4-L5 vertebrae using easily measurable anthropometric variables like waist circumference, age, and subcutaneous fat thickness.
- - A total of 227 participants were divided into modeling and validation groups, and multivariate regression analysis was used to develop an estimation formula that demonstrated strong correlations with measured visceral fat.
- - The final formula for estimating VFA showed that age, waist circumference, and abdominal subcutaneous fat thickness could reliably predict visceral fat, making this method useful for health assessments and epidemiological research.
Background: This study aims to improve accuracy of Bioelectrical Impedance Analysis (BIA) prediction equations for estimating fat free mass (FFM) of the elderly by using non-linear Back Propagation Artificial Neural Network (BP-ANN) model and to compare the predictive accuracy with the linear regression model by using energy dual X-ray absorptiometry (DXA) as reference method.
Methods: A total of 88 Taiwanese elderly adults were recruited in this study as subjects. Linear regression equations and BP-ANN prediction equation were developed using impedances and other anthropometrics for predicting the reference FFM measured by DXA (FFMDXA) in 36 male and 26 female Taiwanese elderly adults.
Background: It is well known that dehydration can impair bodily functions. To evaluate the impact of hydration status under ambient environmental temperature on the immune system, 25 male collegiate wrestlers were recruited to undergo an experimental dehydration program.
Methods: Thirteen subjects had controlled diets with individual energy requirements to prevent body mass loss and restricted water intake to cause 4.