ArticleFood science & nutrition2025
Ultra-Processed Foods and Markers of Systemic Inflammation in Children.
Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Ultra-Processed Foods and Metabolic Dysfunction: Mechanisms, Clinical Implications, and Public Health Perspectives. Position Paper of the Italian Association of Dietetics and Clinical Nutrition (ADI).Current nutrition reports · 2026Review
- Association of Ultra-Processed Food Intake with Insulin Secretion and Sensitivity in Mexican American Children: Results from the SAFARI Study.Nutrients · 2026Article
- Ultra-Processed Foods and Chronic Kidney Disease: Is Inflammaging the Missing Link?Biomolecules · 2026Review
- Dietary patterns and neuropsychological function in adolescents: a cross-sectional and longitudinal study.BMC medicine · 2026Article
- Ultra-Processed Foods and Markers of Systemic Inflammation in Children.Food science & nutrition · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diets high in ultra-processed foods (UPF) have been associated with negative health outcomes in adults; however, UPF's impact on children's health and their underlying mechanisms remain underexplored, despite the rising prevalence of their intake in younger populations. We aimed to investigate the association between UPF intake and systemic inflammation in primary school children. This study included 450 children aged 7-10 years participating in a birth cohort in Arica, Chile (2023). Using the NOVA food classification system, we calculated the intake of UPF (expressed in %kcal) from a 44-item food frequency questionnaire (FFQ). The associations between UPF intake (exposure) and an array of cytokine levels (IL-6, IL-8, IL-10, IL-12, IL1β, TNF-α) were assessed using multiple linear regression models, adjusted for relevant covariates. The mean (SD) UPF intake was 29% (10.5%) of the total energy intake. Some of the associations appeared non-linear; therefore, participants were grouped into tertiles of UPF intake. In adjusted models, a suggestive trend across tertiles was observed for IL-1β (trend
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