School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK.
School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7YH, UK.
Nutrients. 2024 Feb 13;16(4):523. doi: 10.3390/nu16040523.
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.
英国生物银行是一项队列研究,收集饮食、生活方式、生物标志物和健康数据,以研究饮食与疾病的关联。基于英国生物银行,我们回顾了 36 项关于饮食与三种健康状况(2 型糖尿病、心血管疾病和癌症)的研究。大多数研究使用一次性饮食数据而不是重复的 24 小时回忆,这可能导致估计饮食与疾病关联的测量误差和偏差。我们还发现,大多数研究集中在单一的食物组或宏量营养素上,而很少有研究采用饮食模式方法。一些研究一致表明,食用更多的红色和加工肉类会导致肺癌和结直肠癌的风险增加。结果表明,高度遵循“健康”的饮食模式(食用各种食物类型,每天至少三份全谷物、水果和蔬菜,以及每周食用肉类和加工肉类不超过两次),可略微降低 2 型糖尿病、心血管疾病和结直肠癌的风险。未来的研究应该使用多组学数据和机器学习模型来解释饮食成分的复杂性和相互作用及其对疾病风险的影响。