Table 2.
Dietary patterns of participating pupils
| Food items | Dietary patterns with factor loadings | Communalities | |
|---|---|---|---|
| Sweet tooth | Traditional | ||
| Milk and milk products | .801 | .087 | .648 |
| Fruits and fruit juice | .756 | .251 | .635 |
| Meat, poultry, and eggs | .749 | .153 | .584 |
| Energy and soft drinks | .684 | .206 | .510 |
| Tubers and plantain | .636 | .243 | .464 |
| Sugared snacks | .626 | .293 | .478 |
| Sweets | .605 | .307 | .460 |
| Fats, oils, and fat-based foods | .587 | .377 | .486 |
| Tea and coffee | .574 | .056 | .332 |
| Fish and seafood | − .077 | .747 | .564 |
| Nuts, seeds, and legumes | .287 | .740 | .630 |
| Local sugared beverages | .420 | .540 | .467 |
| Vegetables | .203 | .524 | .316 |
| Cereals and grains | .411 | .457 | .378 |
| % of variance explained | 32.516 | 17.156 | |
| % of accumulated variance explained | 49.672 | ||
Extraction method, principal component analysis. Rotation method, varimax with Kaiser normalization. Italic factor loadings are items contributing significantly to each PCA component