B2102 - Novel Methods to Study Diet andObesity Compared to Genetics and Other Lifestyle Factors Agent-Based Modelling - 31/10/2013
Our specific aims are:
1. Derive empirical lifestyle patterns using cluster and/or factor analysis in a cohort of British
children.
2. Develop a mathematical model to simulate the association between derived dietary patterns and
other lifestyle factors (breakfast consumption, family dinner, breastfeeding history) and demographic
covariates (age, sex, socioeconomic status) with body fat using agent-based modeling (ABM).
3. Test the model using data collected from children aged 10 to 13 years over 4 time points (2004,
2006, 2008) to determine which variables are most strongly associated with changes in body fat over time
as children transition into adolescence.
4. Examine whether and how associations between dietary patterns, lifestyle factors, and obesity
shift when genetic data are included in the model (subset analysis*).
5. Reproduce aims 1 through 3 in a large prospective cohort of American children aged 10 to 13 y.