Skip to main content

Table 2 Dietary patterns among 12- to 17-year-old adolescents in Germany

From: Erratum to: Associations between dietary patterns and biomarkers of nutrient status and cardiovascular risk factors among adolescents in Germany: results of the German Health Interview and Examination Survey for Children and Adolescents in Germany (KiGGS)

  Dietary patterns
  boys (N = 2646) girls (N = 2551)
  'western' 'traditional‘ 'healthy' 'western and traditional' 'healthy'
Salty snacks 0.66    0.57  
Burger/Sausages/Doner kebab 0.64    0.54  
French fries 0.61    0.57  
Nuts 0.59 −0.20    
Dessert/ Ice-Cream 0.49    0.54  
Pancakes 0.49    0.47  
Eggs 0.39    0.42  
Cake/cookiesa 0.38 0.22   0.41  
Soup 0.34   0.27 0.24 0.25
Pasta/Rice 0.33   0.26 0.22 0.28
Chicken 0.31    0.25 0.28
Confectioneryb 0.30 0.25   0.41  
Other vegetablesc 0.27   0.41   0.39
Potatoes 0.22 0.27   0.39  
Fish 0.22    0.27  
Meat 0.21 0.44   0.28  
White breadd   0.55   0.36  
Processed meat   0.55   0.21 0.30
Margarine   0.43    0.32
Butter   0.42    0.22
Soft drinkse   0.39 −0.25 0.32  
Jame   0.39   0.32  
Cheesef   0.36 0.34   0.48
Ketchup   0.35   0.25  
Milk   0.26    0.25
Breakfast cereals   0.26    0.24
Wholemeal bread   0.25 0.48   0.52
Fruitsg    0.58   0.49
Salad vegetables    0.54   0.47
Waterh    0.33   0.30
Yoghurt other milk products    0.31   0.33
Teai    0.31   0.31
Juices    0.25   0.29
Coffee      
Variance explained 11.3 5.8 4.7 9.90 5.60
  1. *Factor loadings with absolute values < 0.2 are not shown for clarity, absolute values > 0.35 are underlined
  2. acake, pastries, cookies
  3. bchocolate, other sweets like candy or fruit gums
  4. ccooked fresh vegetable, canned or frozen vegetable
  5. dwheat bread, mixed bread, bread rolls
  6. elemonade, energy drinks
  7. ejam, honey, hazelnut spread
  8. fcheese, cream cheese
  9. gfresh and canned fruits
  10. hmineral water, tap water
  11. iherb tea, fruit tea
  12. Factor loadings for food groups