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Title: Using Synthetic Growth Trajectories to Predict Childhood Obesity Trends at the Individual and Population Level
Resulting in 1 citation.
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Resch, Stephen Ward, Zachary J. Long, Michael W. Goldhaber-Fiebert, Jeremy D. Wang, Y. Claire Gortmaker, Steven L. |
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Using Synthetic Growth Trajectories to Predict Childhood Obesity Trends at the Individual and Population Level Presented: New Orleans LA, American Public Health Association Annual Meeting and Expo, November 2014 Cohort(s): Children of the NLSY79, NLSY79 Young Adult Publisher: American Public Health Association Keyword(s): Adolescent Health; Body Mass Index (BMI); Child Health; Health/Health Status/SF-12 Scale; Modeling, Trajectory analysis; National Health and Nutrition Examination Survey (NHANES); National Longitudinal Study of Adolescent Health (AddHealth); Obesity; Weight Permission to reprint the abstract has not been received from the publisher. Within-person height and weight trajectory segments were pooled from National Longitudinal Survey of Children and Young Adults (NLSY) (1986-2010, n=9,402) and National Longitudinal Study of Adolescent Health (1996-2009, n=4,972). Overlapping height and weight trajectories from early childhood and adolescence were jointly matched using Bayesian methods. A cohort of one million 5 year olds (5yo) was matched to anthropometric and sociodemographic measures from National Health and Nutrition Examination Survey (NHANES) (2005-2010,n=565 5yo) and simulated through age 19 years. Projected mean BMI and obesity prevalence was validated against NHANES 2005-2010 data. |
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Bibliography Citation
Resch, Stephen, Zachary J. Ward, Michael W. Long, Jeremy D. Goldhaber-Fiebert, Y. Claire Wang and Steven L. Gortmaker. "Using Synthetic Growth Trajectories to Predict Childhood Obesity Trends at the Individual and Population Level." Presented: New Orleans LA, American Public Health Association Annual Meeting and Expo, November 2014. |