Table 2.
Self-Reported BMI Data (n=1840) | Measured BMI Data (n=479) | Multiple imputation (n=1912) | |||||
---|---|---|---|---|---|---|---|
Prevalence (SE) | n | Prevalence (SE) | n | Prevalence (SE) | na | ||
| |||||||
Overweight/ Obesity (≥85%) | Total | 0.28 (0.01) | 1840 | 0.35 (0.02) | 479 | 0.34 (0.02) | 913 |
Girls | 0.23 (0.01) | 910 | 0.36 (0.03) | 223 | 0.33 (0.02) | 471 | |
Boys | 0.32 (0.02) | 930 | 0.35 (0.03) | 256 | 0.34 (0.02) | 454 | |
Obesity (≥95%) | Total | 0.12 (0.01) | 1840 | 0.20 (0.02) | 479 | 0.20 (0.01) | 889 |
Girls | 0.08 (0.01) | 910 | 0.18 (0.03) | 223 | 0.18 (0.02) | 449 | |
Boys | 0.16 (0.01) | 930 | 0.21 (0.03) | 256 | 0.23 (0.02) | 412 |
effective n indicates the sample size of measured BMI data needed to obtain standard errors of the same size as the multiple imputation model
SE = standard error