Work

Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning

Year: 2025

Type: article

Abstract: Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. While some studies suggest potential health benefits, others yield conflicting results or lack sufficient evidence to draw conclusions. Understanding the causal relationship between organic food consumption and health outcomes is challenging, especially with limited datasets. Our study examines the correlation between organic food consumption and the prevalence of cancer and diabetes in European nations over time. We compared these findings with data from 100 Italian citizens regarding their perceptions of organic food’s health benefits collected through a novel questionnaire. To identify patterns, we applied Affinity Propagation clustering to group countries based on organic food consumption and disease prevalence. We also created an animated map to visualize cluster progression over time and used the Global Multiplexity Index to evaluate consistency. Our analysis revealed two subgroups of European countries exhibiting significant similarities in organic food consumption and health outcomes. The clustering analysis performed year-by-year on three variables across European nations using the Affinity Propagation algorithm revealed that two clusters consistently maximized the Global Multiplexity Index over time. The first cluster included Belgium, Finland, Ireland, Italy, and Spain, while the second comprised Bulgaria, Turkey, Romania, Ukraine, Czech Republic, Hungary, Poland, Greece, and Russia. These clusters displayed distinct trends concerning sustainable development goals (SDGs) related to organic farming and non-communicable diseases. Additionally, mapping SDG indicators along with geographic and socio-economic factors supported our findings. Moreover, we introduced a novel dataset and offered insights into both the European context and the Italian scenario, contributing to further research on organic food’s impact on public health.

Source: Mathematics

DOI: 10.3390/math13081272

Authors: Giulio Angiolini, Giovanna Maria Dimitri

Institution: University of Siena

Language: English

Topic: Organic Food and Agriculture

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,137