Dietary patterns and their association with chronic non-communicable diseases over time

Abstract It is common knowledge that too much or too little food can be harmful to human health. Objective: to identify dietary patterns at a global level, obtaining the changes that have occurred in dietary patterns from 1961 to 2018 and finding the correlation with climate change and obesity for each of the 171 countries. Methodology: non-parametric factor analysis was used to obtain the dietary patterns. The multiple quantile regression method was used to explore the relationship between the patterns found and the prevalence of NCDs in the countries. Results: the non-parametric PA method allowed the identification of dietary patterns at a global level, as well as allowing the visualization of geographical distribution through the maps generated and the determination of the nutritional transition that has occurred since 1961. The multiple quantile regression method made it possible to find the relationship between the patterns obtained and NCDs, as well as making it possible to observe them by percentile, enabling a more individual assessment of how each pattern behaves in each country. Conclusion: the science of nutrition is fundamental to controlling the damage caused by the increase in the rate of obesity, diabetes and other NCDs that are affected and influenced by diet.