ArticleFrontiers in nutrition2025
Age, socioeconomic status, and weight status as determinants of dietary patterns among German youth: findings from the LIFE child study.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- The temporal relationship among socioeconomic vulnerability, dietary intake, and childhood obesity across six European countries: longitudinal results from the Feel4Diabetes-study.European journal of pediatrics · 2026Observational
- Association between low-carbohydrate diet score and childhood obesity: a national population-based study.BMC pediatrics · 2026Article
- Global burden ofTranslational pediatrics · 2025Article
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5 authors.
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Abstract
Background: Malnutrition and its consequences, such as obesity, are growing problems, especially in disadvantaged subpopulations. In order to pinpoint possible contributors to children's nutritional habits, we examined potential determinants as age, sex, socioeconomic status, and weight status of different dietary patterns (dp) in a large German research project. Methods: The data was collected within a population-based longitudinal cohort study. We used the Food Frequency Questionnaire (FFQ) to assess food intake in 484 children and adolescents aged 5-18 years across 1,068 visits. Cluster analysis was used to identify food groups. Study participants who consumed food groups with a similar frequency were grouped together as dietary patterns. We applied logistic and linear regression to test for whether group membership in different food groups and dietary patterns was associated with age, sex, socioeconomic status (SES), or body mass index (BMI). Results: Overall, food consumption frequency decreased with age, including healthy foods like fruits ( Conclusion: Our study identified age and SES as key factors in children's and adolescents' nutrition, highlighting their importance for improvement measures. The findings on weight and diet suggest both the complexity of obesity aetiology and potential reporting bias in certain weight groups.
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