Activity Number:
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194
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Type:
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Contributed
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Date/Time:
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Monday, August 10, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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Abstract #316525
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Title:
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Early Loss of Normal Body Weight in Multi-Ethnic and Contemporary U.S. Populations
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Author(s):
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Sujatro Chakladar* and Donglin Zeng and Danyu Lin and Christy Avery and Katelyn Holliday and Joseph Engeda and Shakia Hardy and Ashley Moncrieft and Robert Ostfeld and Jared Reis and Pamela Schreiner and Christina Shay and Jeremiah Stamler and Gregory Talavera and Fawn Yeh and Ying Zhang and Marston Youngblood and Martha Daviglus and Gerardo Heiss
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Companies:
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and The University of North Carolina and The University of North Carolina and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and University of Miami and Yeshiva University Albert Einstein College of Medicine and National Heart, Lung, and Blood Institute and University of Minnesota and The University of North Carolina at Chapel Hill and Northwestern University and San Diego State University and The University of Oklahoma Health Sciences Center and The University of Oklahoma Health Sciences Center and The University of North Carolina at Chapel Hill and University of Illinois at Chicago and The University of North Carolina at Chapel Hill
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Keywords:
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Net transition ;
Body weight ;
Obesity ;
overweight
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Abstract:
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Various chronic diseases prevalent among US population stem from transition to overweight and obesity from normal weight at an early age. We used cross sectional data from National Health and Nutrition Examination Survey (n=11,901) to look at age and sex specific net transition probabilities for European American(EA) and African American(AA) population. Net transition, defined as the net flow of individuals from one state to another, can be calculated using ideas by Kassteele et. al.(2011). It consists of three steps. The first step requires calculation of prevalence using a multinomial logistic model. The second step is to calculate the net transition probabilities by forming it as a transportation problem and using simplex algorithm. Finally, 95% CI was calculated using bootstrapping. Results suggest highest net transition probabilities between normal weight and overweight at 25 years for AA and 30 years for EA. Also, AA females seem more prone to transition to overweight from normal weight and obese to overweight than EA females for each age. For example at age 18, net transition probability from normal weight to overweight for AA females is 5.2% and that for EA females is 2.3%.
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Authors who are presenting talks have a * after their name.
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