ArticleHealth science reports2026
Ultra-Processed Food Dietary Patterns and Obesity: A Cross-Sectional Analysis of NHANES 2021-2023.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Ultra-Processed Food Dietary Patterns and Obesity: A Cross-Sectional Analysis of NHANES 2021-2023.Health science reports · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Ultra-processed foods (UPFs) are widely consumed and have been linked to obesity. It is unclear whether different UPF dietary patterns vary in their associations with adiposity. This study aimed to identify UPF dietary patterns and examine their associations with adiposity in a nationally representative sample of United States adults. Methods: In 4003 adults from NHANES 2021-2023, UPF dietary patterns were derived using k-means clustering, and associations of total UPF intake and dietary patterns with BMI and waist circumference were assessed using adjusted survey-weighted linear regression. Results: Each 5% increase in energy intake from UPFs was associated with a 0.25 kg/m Conclusion: Higher UPF consumption was associated with greater adiposity across UPF dietary patterns. These findings from cross-sectional data suggest that overall UPF intake may be an important marker of adiposity, but longitudinal studies are needed to assess temporality and causality.
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