Advancement in Biostatistics for Human Nutrition Research

Abstract

Biostatistics plays a crucial role in human nutrition research by providing statistical methods and techniques to analyze and interpret data. The complex relationships between human health and diet have become much clearer to us because of the development of biostatistical tools. The study looks at how novel statistical techniques are used in nutritional epidemiology, such as Mendelian randomization, latent class analysis, Bayesian network analysis, and structural equation modeling. Using these techniques, researchers have been able to model complex relationships between diet, lifestyle, and cardiometabolic risk, identify hidden dietary patterns, assess the causal relationships between nutritional factors and disease outcomes, and clarify the pathways connecting dietary exposures to cardiovascular health. Nutrition researchers have acquired deeper insights into the molecular reasons behind the varied impacts of nutrition, the possibility for individualized dietary interventions to promote public health, and more by utilizing the capabilities of these biostatistical approaches