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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 ....

United States , Qamaruddin Nizami , Vemco Meded , Cerner Lifesciences , University Of South Florida Medical School , National Institute Of Health , Robert Wood Johnson Foundation , Bioreference Lab , Health Nutrients Inc , York State Department Of Health , United States Centers For Disease , American Academy Of Medicine Fellowship In Anti , American Academy Of Medicine Tarsus Medical Conference , Pinnacle Health Geisinger System , Fiona Druckenmiller Fund , American Health Drug , Life Extension Foundation , World Health Organization , Aga Khan University , American Medical Association , American Society Of Bariatric Physicians , Venebio Group , National Institute For Quality Improvement , American Academy Of Neurology , Nassau University Medical Center , Excellence Media ,