Associations of Diet with Health Outcomes in the UK Biobank: A Systematic Review.
Hana F NavratilovaSusan Lanham-NewAnthony D WhettonNophar GeifmanPublished in: Nutrients (2024)
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.
Keyphrases
- weight loss
- physical activity
- cardiovascular disease
- type diabetes
- case control
- machine learning
- public health
- glycemic control
- healthcare
- big data
- electronic health record
- mental health
- human health
- metabolic syndrome
- squamous cell carcinoma
- emergency department
- papillary thyroid
- risk assessment
- randomized controlled trial
- single cell
- young adults
- patient safety
- insulin resistance
- health promotion
- lymph node metastasis
- deep learning
- cardiovascular events
- social media
- health risk
- childhood cancer
- cardiovascular risk factors