Resources Repository
-
ArticlePublication 2019Estimation of Eating Disorders Prevalence by Age and Associations with Mortality in a Simulated Nationally Representative U.S. Cohort
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, …
This analysis models the individual-level disease dynamics of eating disorders (ED) in the United States, and estimates the association of increased treatment coverage with ED-related mortality. Using an individual-level Markov state transition model calibrated to nationally-representative US survey data from 2007 and 2011, the authors simulated a virtual cohort of 100,000 individuals (50% male) from birth to age 40 years and modelled 4 ED diagnoses: anorexia nervosa, bulimia nervosa, binge eating disorder, and other specified…
Calibration/Validation | Health Outcomes | North America | Child/Nutrition | Microsimulation | Mental Health -
ArticlePublication 2017Simulation of Growth Trajectories of Childhood Obesity into Adulthood
The authors developed a simulation model to estimate the risk of adult obesity at the age …
The authors developed a simulation model to estimate the risk of adult obesity at the age of 35 years for the current population of children in the United States. They used pooled height and weight data from five nationally representative longitudinal studies totaling 176,720 observations from 41,567 children and adults to simulate growth trajectories across the life course adjusted for secular trends. Using 1,000 virtual populations of 1 million children through the age of 19 years, representative of the…
Health Outcomes | North America | Child/Nutrition | Microsimulation | Chronic Disease/Risk | Health/Medicine -
ArticlePublication 2016Redrawing the U.S. Obesity Landscape: State-Specific Adult Obesity Prevalence
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic …
State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic because they use self-reported height and weight. This study described a novel bias-correction method and produced corrected state-level estimates of obesity and severe obesity. Using non-parametric statistical matching, the authors adjusted self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS) 2013 (n = 386,795) using measured data from the National Health and Nutrition Examination Survey (NHANES) (n = 16,924).…
Health Outcomes | North America | Child/Nutrition | Evidence Synthesis | Health/Medicine