Document Type : Original Article
Authors
1
Student Research Committee, Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
2
Nutritional Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
3
Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
4
Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
5
Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
6
Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
10.30476/ijns.2026.107242.1498
Abstract
Background: The expansion of the food industry and the rise in food processing have changed dietary habits, leading to concerns about excessive consumption. This study examined the relationship between the intake of ultra-processed foods (UPFs) and the prevalence of diabetes in an adult population in Shiraz, Southern Iran.
Methods: Data from 3,285 participants in Employee Health Cohort of the Shiraz University of Medical Sciences were collected between August 2017 and February 2020 and analyzed using logistic regression analysis. The associations, yielding odds ratios with corresponding 95% confidence intervals were determined.
Results: The relationship between higher consumption of UPFs and diabetes prevalence did not reach statistical significance. Even after adjusting for potential confounders, including age, gender, body mass index (BMI), educational level, smoking habit, intake of energy drinks, and physical activity did not reveal a significant association.
Conclusion: Our findings did not show any statistically significant association between higher consumption of UPFs and diabetes prevalence. Comprehensive judgments require further investigations with more comprehensive study designs, larger sample sizes, and other populations.
Keywords