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Peer-reviewedCC BY 4.0Nutrients

Dietary Patterns, Food-Group Profiles, and Nutritional Characteristics in a Diverse Cohort of Young Adults Attending a UK University (2016)

4 affiliations
  1. 1Area of Legal and Forensic Medicine, Department of Surgery, Medical and Social Sciences, Faculty of Medicine and Health Sciences, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.6, 28871 Alcalá de Henares, Spain
  2. 2Leicester School of Allied Health Sciences, De Montfort University, Leicester LE1 9BH, UK
  3. 3Scientific Computation Research Institute (SCRIUR), University of La Rioja, 26006 Logroño, Spain
  4. 4Department of Biomedical Sciences, Faculty of Pharmacy, University of Alcalá, Crta. Madrid-Barcelona Km. 33.6, 28871 Alcalá de Henares, Spain

Abstract

Background/Objectives: Whole-diet patterns in geographically diverse university populations remain insufficiently characterised. We examined food-group consumption and dietary patterns according to sex and geographical background in a historical UK university cohort. Methods: This cross-sectional analysis included 111 students assessed at De Montfort University, Leicester, in early 2016. Habitual intake was assessed using an expanded, adapted EPIC-Norfolk food-frequency questionnaire. Fifteen food groups were evaluated using principal component analysis after log1p transformation and standardisation; between-group comparisons were adjusted for relevant covariates and subjected to Benjamini–Hochberg false-discovery-rate correction. Results: The participants had a mean age of 20.4 ± 1.2 years, and 70.3% were female. Three patterns—Plant-rich, Animal-source foods, and Energy-dense/discretionary—explained 46.25% of the variance, compared with 35.24% for the two-component alternative. Parallel analysis supported retention of three components; bootstrap results favoured their overall reproducibility but indicated substantial uncertainty in individual food-group loadings. Males had lower adjusted Plant-rich scores than females (−0.43 SD, 95% CI −0.76 to −0.10; q = 0.04). Plant-rich and Animal-source foods scores differed by geographical background (q = 0.006 for both global tests), whereas the Energy-dense/discretionary pattern did not. Conclusions: These exploratory patterns characterise dietary heterogeneity in this historical cohort but require replication in larger, contemporary samples.

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BibTeX
@article{penafernandez2026dietary,
  title = {{Dietary Patterns, Food-Group Profiles, and Nutritional Characteristics in a Diverse Cohort of Young Adults Attending a UK University (2016)}},
  author = {Antonio Peña-Fernández and Tomás Cámara-Pastor and M. Ángeles Peña Fernández},
  journal = {Nutrients},
  year = {2026},
  month = oct,
  doi = {10.3390/nu18213503},
  url = {https://www.mdpi.com/2072-6643/18/21/3503},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Dietary Patterns, Food-Group Profiles, and Nutritional Characteristics in a Diverse Cohort of Young Adults Attending a UK University (2016)
AU  - Antonio Peña-Fernández
AU  - Tomás Cámara-Pastor
AU  - M. Ángeles Peña Fernández
PY  - 2026
DA  - 2026/10/25
JO  - Nutrients
DO  - 10.3390/nu18213503
UR  - https://www.mdpi.com/2072-6643/18/21/3503
AB  - Background/Objectives: Whole-diet patterns in geographically diverse university populations remain insufficiently characterised. We examined food-group consumption and dietary patterns according to sex and geographical background in a historical UK university cohort. Methods: This cross-sectional analysis included 111 students assessed at De Montfort University, Leicester, in early 2016. Habitual intake was assessed using an expanded, adapted EPIC-Norfolk food-frequency questionnaire. Fifteen food groups were evaluated using principal component analysis after log1p transformation and standardisation; between-group comparisons were adjusted for relevant covariates and subjected to Benjamini–Hochberg false-discovery-rate correction. Results: The participants had a mean age of 20.4 ± 1.2 years, and 70.3% were female. Three patterns—Plant-rich, Animal-source foods, and Energy-dense/discretionary—explained 46.25% of the variance, compared with 35.24% for the two-component alternative. Parallel analysis supported retention of three components; bootstrap results favoured their overall reproducibility but indicated substantial uncertainty in individual food-group loadings. Males had lower adjusted Plant-rich scores than females (−0.43 SD, 95% CI −0.76 to −0.10; q = 0.04). Plant-rich and Animal-source foods scores differed by geographical background (q = 0.006 for both global tests), whereas the Energy-dense/discretionary pattern did not. Conclusions: These exploratory patterns characterise dietary heterogeneity in this historical cohort but require replication in larger, contemporary samples.
SN  - 2072-6643
ER  -