Table 3 lists adjusted odds ratios from a series of planned logistic regression analyses in which potentially explanatory covariates are entered sequentially into a model predicting obesity from FH-Alc. For both genders, the addition of sociodemographic covariates – race/ethnicity, age, educational attainment, and household income -- results in a small reduction in the difference in odds ratios between the NLAES and NESARC. For women, the odds ratios remain highly significant in NESARC, as does the difference in odds ratio between NLAES and NESARC. (Addition of state of residence as an additional demographic variable resulted in essentially no change in odds ratios, and therefore was not included in subsequent analyses). In the second model listed in Table 3, alcohol dependence, drug dependence, smoking status, and a quantitative measure of alcohol consumption were added to the model. These had minimal impact on the odds ratios in both surveys, for both genders.
