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A Multilevel Approach to Model Obesity and Overweight in the United States

We use a multilevel multinomial econometric approach to model the categories of body mass index as functions of both lifestyle components and external environment. Among state level variables, higher per-capita sales of restaurants and higher Gini coefficient are associated with higher rates of obesity and overweight. Higher state unemployment rate is associated with higher prevalence of obesity and overweight among women. At the individual level, gain in income increase likelihood of women being healthier, but men being more likely to be overweight. Higher education, regular exercise and sufficient consumption of fruits and vegetables are beneficial to curb obesity.