Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review

Author:

Navratilova Hana F.123,Lanham-New Susan1,Whetton Anthony D.14,Geifman Nophar24ORCID

Affiliation:

1. School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK

2. School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7YH, UK

3. Department of Community Nutrition, Faculty of Human Ecology, IPB University, Bogor 16680, Indonesia

4. Veterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford GU2 7XH, UK

Abstract

The UK Biobank is a cohort study that collects data on diet, lifestyle, biomarkers, and health to examine diet–disease associations. Based on the UK Biobank, we reviewed 36 studies on diet and three health conditions: type 2 diabetes (T2DM), cardiovascular disease (CVD), and cancer. Most studies used one-time dietary data instead of repeated 24 h recalls, which may lead to measurement errors and bias in estimating diet–disease associations. We also found that most studies focused on single food groups or macronutrients, while few studies adopted a dietary pattern approach. Several studies consistently showed that eating more red and processed meat led to a higher risk of lung and colorectal cancer. The results suggest that high adherence to “healthy” dietary patterns (consuming various food types, with at least three servings/day of whole grain, fruits, and vegetables, and meat and processed meat less than twice a week) slightly lowers the risk of T2DM, CVD, and colorectal cancer. Future research should use multi-omics data and machine learning models to account for the complexity and interactions of dietary components and their effects on disease risk.

Publisher

MDPI AG

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