Multilevel logistic regression for sex, anthropometric measurements and birth period as predictors for team sport participation with random effect of school (n=528)
| OR | 95% CI | Significance | |
| Sex | 0.31 | 0.19 to 0.49 | p<0.001 |
| Age (months) | 0.97 | 0.95 to 1.00 | p>0.05 |
| Height (cm) | 0.98 | 0.93 to 1.02 | p>0.05 |
| Weight (kg) | 1.05 | 0.95 to 1.16 | p>0.05 |
| Waist circumference (cm) | 0.94 | 0.88 to 1.00 | p<0.05 |
| Mid-upper arm circumference (cm) | 1.13 | 0.94 to 1.35 | p>0.05 |
| Body fat (%) | 0.97 | 0.90 to 1.04 | p>0.05 |
| Birth period (born in first vs second half of year) | 0.79 | 0.54 to 1.16 | p>0.05 |
| School SES quintile | 1.11 | 0.91 to 1.38 | p>0.05 |
| Random- effectsâ | Estimate | 95% CI | |
| School deviation | 0.51 | 0.28 to 0.93 | p=0.001 |
Data are reported as coefficients and OR with 95% CI.
SES, socioeconomic status.