![]() ![]() Furthermore, %BF is more effective in detecting individuals with disturbed glucose tolerance, risk of cardiometabolic disease, early stage cardiovascular disease, and breast cancer survival rate –. ![]() Another study has revealed that adiponectin is also associated with body fat distribution, even in normal-weight subjects. Adiponectin is also involved in inhibiting inflammatory responses through its inhibitory functions. For instance, a study has found that adiponectin, a substance secreted by the adipose tissue, can regulate energy homeostasis as well as glucose and lipid metabolism. Other obesity indicators do not measure %BF because of their inability to distinguish fat from muscle. Instead of using the common indicators for obesity such as BMI, WC, WHtR, and WHR, BIA is used to determine the body fat percentage (%BF). BIA has also many advantages compared with other methods because it is inexpensive, simple, fast, safe, portable, and easy to perform, as well as requires minimum operator training. BIA is a non-invasive measurement of body composition and particularly useful in large epidemiologic studies. Bioelectrical impedance analysis (BIA) produces a close estimate of fat mass in a wide range of body compositions. The commonly used indicators for obesity are body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), and waist-to-hip ratio (WHR). Obesity is also associated with numerous chronic health conditions or diseases, such as diabetes, hypertension, and cardiovascular diseases. According to surveys, the age-adjusted prevalence of obesity for males is rapidly increasing in Taiwan from 10.5% to 15.9% from 1993 to 1996 and from 2000 to 2001. Approximately 250 million adults suffer from obesity. Obesity is a major global health problem, which affects people in developed and developing countries –. The current study suggests that BIA provides a relatively accurate prediction of %BF in individuals with normal weight, overweight, or obesity after the end of weight-loss program, but less accurate prediction of %BF in obese individuals at baseline or weight change during the weight-loss intervention program. For males and females, %BFDXA proved to be a significant predictor of the difference between DXA and BIA at the baseline, the endpoint, and in changes when BMI and age were considered (in males: p<0.01 and R 2 = 23.1%, 24.1%, 20.7%, respectively for females: p<0.001 and R 2 = 40.4%, 48.8%, 25.4%, respectively). Compared with DXA, BIA underestimated %BF. Bland-Altman analyses and multiple regression analyses were used to assess the relationships between %BF BIA and %BF DXA. Among 189 adults, assessments of %BF at the baseline and six months from the baseline were conducted by performing BIA and DXA. The current study aimed to compare the estimates of body fat percentage (%BF) by performing bioelectrical impedance analysis (BIA) and dual energy X-ray absorptiometry (DXA) in a sample of obese or overweight Chinese adults who participated in a weight-loss randomized control trial stratified by gender to determine whether or not BIA is a valid measurement tool.
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