Predictors of parents’ accuracy in identifying children’s weight classification*
| FACTORS | N | ODDS RATIO | 95% CONFIDENCE INTERVAL | P |
|---|---|---|---|---|
| Children’s sex | <.05 | |||
| • Girls | 157 | 1.73 | 1.02–2.85 | |
| • Boys | 198 | 1.00 | reference | |
| Children’s race or ethnicity | <.05 | |||
| • White | 301 | 2.09 | 1.02–2.69 | |
| • Non-white | 54 | 1.00 | reference | |
| Mothers’ weight status | <.05 | |||
| • Normal weight (BMI < 25) | 200 | 1.60 | 0.95–2.69† | |
| • Overweight or obese (BMI ≥ 25) | 89 | 1.00 |
BMI—body mass index.
↵* Logistic regression model using backward stepwise method (Wald test). Dependent variable: accuracy of parents’ ability to classify children’s weight categories. Independent variables: children’s sex, age, and race; mother’s and father’s education levels; family income, mother’s weight status, and respondent’s relationship to the child (ie, mother, father, or other).
↵† Confidence intervals are based on the Wald test.