Table 1.
Sample size, characteristics of study subjects and sports facilities per 1,000 population according to indicators of socioeconomic environment a
| Sample size (n), characteristics of study subjects and sports facilities per 1,000 population | Per capita incomeb | Percentage of population with university educationb | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Quartile 1 | Quartile 2 | Quartile 3 | Quartile 4 | p* | Quartile 1 | Quartile 2 | Quartile 3 | Quartile 4 | p* | |
| n | 195 | 157 | 187 | 188 | 182 | 178 | 177 | 190 | ||
| Obesity (%) | 8.2 | 8.3 | 3.8 | 2.1 | <0.01 | 8.3 | 8.4 | 3.4 | 2.1 | <0.01 |
| Overweight (%) | 27.0 | 33.8 | 30.1 | 16.5 | <0.05 | 29.4 | 34.8 | 23.0 | 19.4 | <0.01 |
| Mean age (years) | 11.0 | 10.6 | 11.0 | 10.9 | 0.535 | 11.0 | 10.8 | 10.6 | 11.1 | 0.265 |
| Girls (%) | 49.7 | 44.9 | 38.3 | 48.7 | 0.522 | 45.9 | 45.0 | 43.6 | 47.4 | 0.832 |
| Low educational levelc (%) | 60.0 | 46.2 | 39.5 | 23.0 | <0.001 | 64.2 | 40.7 | 42.6 | 22.5 | <0.001 |
| Manual occupationc (%) | 60.6 | 51.6 | 42.9 | 22.4 | <0.001 | 64.2 | 45.9 | 44.3 | 23.8 | <0.001 |
| Physical inactivity (%) | 15.4 | 18.5 | 10.6 | 11.9 | 0.075 | 16.2 | 15.6 | 11.2 | 12.2 | 0.138 |
| Low intake of vegetables/fruits (%) | 44.3 | 46.2 | 34.4 | 34.8 | <0.05 | 45.8 | 41.3 | 33.1 | 38.6 | 0.073 |
| No complete breakfast (%) | 86.8 | 85.4 | 91.5 | 84.1 | 0.839 | 87.3 | 88.3 | 87.7 | 84.9 | 0.469 |
| Sports facilities/1000 pop. | 1.6 | 1.1 | 1.6 | 3.0 | <0.001 | 1.6 | 1.4 | 1.4 | 2.9 | <0.001 |
aBased on per capita income and percentage of population with university education.
bThe categories for per capita income are quartile 1 (<9,724.29 €), quartile 2 (9,724.29-11,149.60 €), quartile 3 (11,149.61-14,548.76), quartile 4 ( >14,548.76€). The categories for percentage with university education are quartile 1 (<14.64 %), quartile 2 (14.64-20.63), quartile 3 (20.64-35.15), quartile 4 (>35.15).
cRefers to educational level and occupation of primary household earner.
*The p value for subject characteristics is based on the chi-square test for trend, and the p value for sports facilities per 1,0000 population is based on linear regression.