Observational studyEuropean journal of nutrition2021
How do short-term associations between diet quality and metabolic risk vary with age?
Observational study in European journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Relationship Between Children's Diet and Risk Factors for Cardiovascular Disease.Nutrients · 2026Pooled it
- Association between Four Dietary Patterns and the Risk of Periodontal Diseases: A Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- Sustainable Plant-Based Diets in Children and Adolescents: Current Evidence on Metabolic Syndrome and Cardiometabolic Health.Current nutrition reports · 2026Review
- A narrative review of dietary patterns in cardiovascular-kidney-metabolic syndrome.Frontiers in nutrition · 2026Review
- Adolescent Nutrition and Health: a Critical Period for Nutritional Intervention to Prevent Long Term Health Consequences.Current nutrition reports · 2025Review
- Article
- The association of dietary approaches to stop hypertension measured by the food frequency questionnaire with metabolic syndrome and some inflammatory biomarkers in adolescents with obesity: a case-control study.Journal of health, population, and nutrition · 2025Article
- Article
- The dietary approaches to stop hypertension (DASH) dietary pattern in childhood in relation to cardiometabolic risk in adolescence and early adulthood in the ALSPAC birth cohort.Public health nutrition · 2024Article
- Body Image, Social Physique Anxiety Levels and Self-Esteem among Adults Participating in Physical Activity Programs.Diseases (Basel, Switzerland) · 2023Article
- Dietary patterns and indicators of cardiometabolic risk among rural adolescents: A cross-sectional study at 15-year follow-up of the MINIMat cohort.Frontiers in nutrition · 2023Article
- Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis.Nutrients · 2022Article
- Methodological Aspects of Diet Quality Indicators in Childhood: A Mapping Review.Advances in nutrition (Bethesda, Md.) · 2021Review
- How do associations between sleep duration and metabolic health differ with age in the UK general population?PloS one · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposePoor diet quality is one of the key contributors to poor cardiovascular health and associated morbidity and mortality. This study aimed to assess how the short-term associations between diet quality and metabolic risk factors change with age.
methodsThis longitudinal, observational study used data from the National Diet and Nutrition Survey (2008-2016) (n = 2024). Diet quality was measured using the Dietary Approaches to Stop Hypertension (DASH) index, fruit and vegetable (F&V) intake, and a F&V biomarker score. We assessed associations between measures of diet quality and a metabolic risk z score (generated from five metabolic risk factors) among those aged 11-60 years, and then tested effect modification by age group (adolescents 11-18 years, young adults 19-35 years, mid-aged adults 36-60 years).
resultsAnalysis across all age groups showed inverse associations between standardised DASH index and metabolic risk z score of - 0.19 (95% CI - 0.26, - 0.11). These associations were moderated by age group, with strong associations seen in mid-aged adults: - 0.27 (95% CI - 0.39, - 0.16), but associations were significantly attenuated in young adults [- 0.10 (95% CI - 0.22, 0.01)] and adolescents [0.03 (95% CI - 0.05, 0.11)]. Similar results were found for F&V intake and F&V biomarker score.
conclusionsShort-term associations between diet quality and metabolic risk are not consistent across adolescent and young adult age groups, suggesting that mechanisms by which diet impacts on metabolic risk may be acting differently in younger age groups compared to adults. Further research is warranted using longitudinal study designs and replication in different populations to understand changes in determinants of cardiometabolic health with age.
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