Table 1.
Schoolchildren’s anthropometric characteristics according to calcium intake.
| Adequate Calcium Intake (n = 873, 74.2%) | Inadequate Calcium Intake (n = 303, 25.8%) | p-Value | |||
|---|---|---|---|---|---|
| Variables | M/n | SD/% | M/n | SD/% | |
| Gender * | |||||
| Boys | 437 | 50.1 | 124 | 40.9 | 0.006 |
| Girls | 436 | 49.9 | 179 | 59.1 | 0.006 |
| Age (years) | 7.38 | 1.06 | 7.44 | 1.11 | 0.401 |
| Weight (kg) | 30.42 | 7.51 | 30.32 | 7.68 | 0.843 |
| Height (m) | 1.31 | 0.09 | 1.29 | 0.09 | 0.001 |
| BMI * | |||||
| Underweight | 53 | 6.1 | 16 | 5.3 | 0.614 |
| Normoweight | 472 | 54.1 | 173 | 57.1 | 0.361 |
| Overweight | 181 | 20.7 | 59 | 19.5 | 0.639 |
| Obesity | 167 | 19.1 | 55 | 18.1 | 0.708 |
| Weight z-score | 1.11 | 1.24 | 1.07 | 1.31 | 0.634 |
| Height z-score | 0.90 | 1.34 | 0.71 | 1.29 | 0.032 |
| BMI z-score | 0.88 | 2.24 | 0.90 | 1.33 | 0.883 |
M: Mean; n: number; SD: Standard Deviation; %: percentage; BMI: Body Mass Index. * Percentage was done in columns. Means were compared with the use of a ANOVA test, and proportions with the use of a chi-square test. p-value < 0.05: considered statistically significant.