A study in the Journal of Clinical Endocrinology & Metabolism found that body fat percentage (%BF) thresholds are more accurate than BMI for predicting obesity-related health conditions, suggesting new standards for defining overweight and obesity.
MyJournals.org - Science - IJERPH, Vol. 20, Pages 5976: The Impact of Age and Body Composition on Bone Density among Office Worker Women in Hungary (International Journal of Environmental Research and Public Health)
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Background Obesity is a serious disease that is associated with an increased risk of diabetes, hypertension, heart disease, stroke, and cancer, among other diseases. The United States Centers for Disease Control and Prevention (CDC) estimates a 20% obesity rate in the 50 states, with 12 states having rates of over 30%. Currently, the body mass index (BMI) is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment. In this study, we examine the effectiveness of precise biomarkers and duel-energy x-ray absorptiometry (DXA) to help diagnose and treat obesity. Methodology/Principal Findings A cross-sectional study of adults with BMI, DXA, fasting leptin and insulin results were measured from 1998–2009. Of the participants, 63% were females, 37% were males, 75% white, with a mean age = 51.4 (SD = 14.2). Mean BMI was 27.3 (SD = 5.9) and mean percent body fat wa
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