Erratum
Open Access
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)
BMC NutritionBMC series – open, inclusive and trusted20173:14
https://doi.org/10.1186/s40795-017-0133-7
© The Author(s). 2017
Received: 9 January 2017
Accepted: 30 January 2017
Published: 3 February 2017
The original article was published in BMC Nutrition 2017 3:4
Erratum
In the original publication of this article [1], Table 2 was published incorrectly. The cell in the “Cake/cookiesa” row under the column “‘Healthy’” should have been left blank. This value should have been listed one cell to the right, in the column “‘Western and traditional’”.
Table 2
Dietary patterns among 12- to 17-year-old adolescents in Germany
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 |
Please see below for the corrected table:
Notes
Declarations
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Authors’ Affiliations
(1)
Department of Epidemiology and Health Monitoring, Robert Koch Institute Berlin
(2)
Chair of Marketing and Consumer Research, TUM School of Management München, Technische Universität
(3)
Department of Food Economics and Consumption Studies, Christian-Albrechts-Universität Kiel
Reference
- Richter A, et al. 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). BMC Nutrition. 2017;3:4. doi:https://doi.org/10.1186/s40795-016-0123-1.View ArticleGoogle Scholar
Copyright
© The Author(s). 2017
