Title |
Measuring Adiposity in Patients: The Utility of Body Mass Index (BMI), Percent Body Fat, and Leptin
|
---|---|
Published in |
PLOS ONE, April 2012
|
DOI | 10.1371/journal.pone.0033308 |
Pubmed ID | |
Authors |
Nirav R. Shah, Eric R. Braverman |
Abstract |
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. |
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Country | Count | As % |
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United Kingdom | 5 | 5% |
Germany | 4 | 4% |
Australia | 3 | 3% |
Chile | 1 | <1% |
Iceland | 1 | <1% |
Brazil | 1 | <1% |
Finland | 1 | <1% |
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Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 14 | 13% |
Scientists | 9 | 9% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
Geographical breakdown
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United States | 5 | <1% |
United Kingdom | 3 | <1% |
Australia | 1 | <1% |
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
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Student > Master | 94 | 16% |
Researcher | 61 | 10% |
Student > Ph. D. Student | 58 | 10% |
Student > Doctoral Student | 37 | 6% |
Other | 103 | 18% |
Unknown | 118 | 20% |
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Other | 115 | 20% |
Unknown | 136 | 23% |