Quantitative phase data analysis
REGRESSION
Continuous variables were analyzed by analysis of variance (ANOVA) (comparing mean calories of selected foods between the groups), and categorical variables by chi-square tests [comparing general characteristics including marital status, education, economic status, satiety status, BMI (normal/overweight/obese), and physical activity]. Linear regression was used to assess the relationship between the types of labels and the primary outcome, which was the caloric choice of select products. To adjust for the effect of potential confounders (age, economic status, education, job, BMI, and physical activity), multivariable linear regression was used. The potential confounders were assessed using a demographic questionnaire (