Determinants of Diet Quality in Adolescents: Results from the Prospective Population-Based EVA-Tyrol and EVA4YOU Cohorts

Author:

Mueller Katharina12ORCID,Messner Alex2ORCID,Nairz Johannes3ORCID,Winder Bernhard4,Staudt Anna2,Stock Katharina2,Gande Nina2,Hochmayr Christoph2,Bernar Benoît5,Pechlaner Raimund6,Griesmacher Andrea7,Egger Alexander E.8,Geiger Ralf3,Kiechl-Kohlendorfer Ursula2,Knoflach Michael16,Kiechl Sophia J.19,

Affiliation:

1. VASCage, Centre on Clinical Stroke Research, Adamgasse 23, 6020 Innsbruck, Austria

2. Department of Paediatrics II, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

3. Department of Paediatrics III, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

4. Department of Vascular Surgery, Feldkirch Hospital, Carinagasse 41, 6800 Feldkirch, Austria

5. Department of Paediatrics I, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

6. Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

7. The Central Institute of Clinical Chemistry and Laboratory Medicine (ZIMCL), Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

8. Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria

9. Department of Neurology Hochzirl Hospital, Hochzirl 1, 6170 Zirl, Austria

Abstract

(1) Background: Unhealthy dietary behaviors are estimated to be one of the leading causes of death globally and are often shaped at a young age. Here, we investigated adolescent diet quality and its predictors, including nutrition knowledge, in two large Central European cohorts. (2) Methods: In 3056 participants of the EVA-Tyrol and EVA4YOU prospective population-based cohort studies aged 14 to 19 years, diet quality was assessed using the AHEI-2010 and DASH scores, and nutrition knowledge was assessed using the questionnaire from Turconi et al. Associations were examined utilizing multivariable linear regression. (3) Results: The mean overall AHEI-2010 score was 42%, and the DASH score was 45%. Female participants (60.6%) had a significantly higher diet quality according to the AHEI-2010 and DASH score. AHEI-2010 and DASH scores were significantly associated (p < 0.001) with sex, school type, smoking, and total daily energy intake. The DASH score was additionally significantly associated (p < 0.001) with age, socioeconomic status, and physical activity. Participants with better nutrition knowledge were more likely to be older, to attend a general high school, to live in a high-income household, to be non-smokers, and to have a higher diet quality according to the AHEI-2010 and DASH score. (4) Conclusions: Predictors of better diet quality included female sex, physical activity, educational level, and nutrition knowledge. These results may aid focused interventions to improve diet quality in adolescents.

Funder

Excellence Initiative Competence Centers for Excellent Technologies (COMET) of the Austrian Research Promotion Agency FFG: “Research Center of Excellence in Vascular Ageing—Tyrol, VASCage”

Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology

Federal Ministry of Labor and Economy

federal states of Tyrol

VASCage—Research Centre on Clinical Stroke Research

Austrian Research Promotion Agency

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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