Advanced longitudinal and multivariate statistical and epidemiological techniques will be used to identify and model underlying correlation structures among the measurements collected by the research team pertaining to sensory perception, diet, biological factors (energy expenditure, insulin sensitivity and secretion, detailed body composition, skeletal muscle metabolism, adipocyte factors, genetics), cognitive factors (dietary restraint, disinhibition, food adventurousness), behavior, demographics, and other possible contributing factors to unhealthy weight gain over time.