Three multivariate linear regressions were conducted to predict variations in the discrepancy variables, i.e., the over- or underestimates of height (R2 = 0.061, p ≤ 0.001), weight (R2 = 0.070, p ≤ 0.001) and BMI (R2 = 0.045, p ≤ 0.001). All three models included the same set of predictors: gender, age, race/ethnicity (non-Hispanic white, Mexican American, other Hispanic, non-Hispanic black, other), marital status (married, widowed, divorced, separated, single/never married, living with a partner), education (less than high school, finished high school/GED, some college or more), pregnancy status and household income (less than $20,000 vs. $20,000 or more). The first model showed that overestimation of height was greater among non-Hispanic blacks (+0.15, p < 0.05) and Hispanics other than Mexican Americans, (+0.43, p < 0.03), than among all other racial/ethnic groups. In the second model, overestimation of self-reported weight occurred among widowed respondents (+.40, p < 0.02) compared with married individuals, weight was underestimated among college educated individuals (-0.51, p < 0.01) compared with individuals with less than a high school education, while pregnant women underestimated their weight, on average,
