Do adolescents accurately evaluate their diet quality? The HELENA study

Autor: Jonatan R. Ruiz, Alain Duhamel, Jérémy Vanhelst, Anthony Kafatos, Michael Sjöström, Frédéric Gottrand, Odysseas Androutsos, Mathilde Kersting, Kurt Widhalm, Beatrice Mauro, Laurent Béghin, Stefaan De Henauw
Přispěvatelé: Lille Inflammation Research International Center - U 995 (LIRIC), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Inserm, Université de Lille, CHU Lille, Lille Inflammation Research International Center - U 995 [LIRIC], Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Gerontology
Male
Pediatric Obesity
Youth
Adolescent
media_common.quotation_subject
Health Behavior
Nutritional Status
Assessment
Critical Care and Intensive Care Medicine
03 medical and health sciences
Diagnostic Self Evaluation
Surveys and Questionnaires
Prevalence
Medicine
Humans
Quality (business)
Child
Life Style
media_common
Nutrition
2. Zero hunger
Meal
[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics
030109 nutrition & dietetics
Nutrition and Dietetics
business.industry
International Standard Classification of Education
Fixed effects model
Epidemiology study
Overweight
Awareness
Large sample
Diet
Europe
Cross-Sectional Studies
Nutrition Assessment
Diet quality
Adolescent Behavior
Female
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Food quality
business
Mesh:Health Behavior
Mesh:Prevalence
Mesh:Diet
Mesh:Diagnostic Self Evaluation
Mesh:Overweight/epidemiology
Mesh:Adolescent
Mesh:Pediatric Obesity/epidemiology
Mesh:Nutritional Status
Mesh:Surveys and Questionnaires
Mesh:Adolescent Behavior
Mesh:Life Style
Mesh:Humans
Mesh:Male
Mesh:Europe/epidemiology
Mesh:Female
Mesh:Nutrition Assessment
Mesh:Child
Mesh:Cross-Sectional Studies
Body mass index
[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Zdroj: Clinical Nutrition
Clinical Nutrition, 2017, 36 (6), pp.1669-1673. ⟨10.1016/j.clnu.2016.10.019⟩
Clinical Nutrition, Elsevier, 2017, 36 (6), pp.1669-1673. ⟨10.1016/j.clnu.2016.10.019⟩
ISSN: 0261-5614
1532-1983
DOI: 10.1016/j.clnu.2016.10.019⟩
Popis: International audience; Background & aims: The aim of this study was to assess the diet quality awareness and associated factors in a large sample of European adolescents.Methods: The study included 3389 healthy adolescents, aged 12.5–17.5 years, who participated in the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) Study. The adolescents' diet quality was based on repeated 24 h recalls and scored into a Diet Quality Index for Adolescents (DQI-A) considering four components: meal, equilibrium, diversity and quality. A self-rated diet quality questionnaire was administered to adolescents to assess their dietary awareness. The association of DQI-A with dietary awareness was studied using a linear mixed model including the center as the random effect and dietary awareness as the fixed effect.Results: There was a positive association between DQI-A scores and diet quality perception levels (p < 0.0001). The mean DQI-A was 59.0 (SD = 14.8) in adolescents with a low dietary awareness compared with 65.4 (SD = 12.6) in adolescents with high dietary awareness (p < 0.0001). Similar results were found for all the DQI components. When analyses were stratified, we found a significant heterogeneity across the nutritional status, with no significant association between DQI-A and dietary awareness level in obese adolescents, but a positive association in overweight, normal and undernourished groups. We found also a significant heterogeneity associated with the lunch location (school or home). No other factor affected dietary awareness (gender, pubertal status and maternal educational level).Conclusion: European adolescents evaluate well their food quality whatever their pubertal status, gender and parental educational level, except for the obese who are not able to assess their diet quality. Improving the dietary awareness in obese adolescents might help to induce behavioral changes.
Databáze: OpenAIRE
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