Logistic regression models fitting results of the association between tea concentration and cognitive impairment 1.

1Binary logistic regression analysis was used to calculate ORs and 95% CIs for cognitive impairment related with tea concentration which assessed with CCM, with non-consumption group treated as reference.2 P value were determined by logistic regressions in which tea concentration was treated as non-ordinal categorical variable.3Crude model.4 Adjusted for age, sex, race, education, marriage, tea consumption volume and tea categories.5 Adjusted for variables in model 2 plus physical examinations (BMI, WHR, SBP, DBP), family status (family income, have children or not) and disease situation (history of present illness and family history of hypertension, diabetes, CHD, AD, PD).6 Adjusted for variables in model 3 plus behavioral risk factors (cigarette smoking, alcohol consumption, and physical activities), dietary intake (vegetables, fruits, red meat, fish, beans, milk).7Adjusted for variables in model 4 plus nutrition supplement, depression and ADL.Logistic regression models fitting results of the association between tea concentration and cognitive impairment 1.