Lanzamiento Enero 2027

Ensayo controlado aleatorizado2025Acceso abierto

Consumption of Ultra-Processed Foods and Metabolic Parameters in Type 2 Diabetes Mellitus: A Cross-Sectional Study

Bauer J, Ayala FO, Marcadenti A, Machado RHV, Cristina Bersch-Ferreira Â, Moreira MFS, Beretta MV, Feoli AMP, Busnello FM

International journal of environmental research and public health · 3 citas

Cómo se estudió

Diseño
Ensayo controlado aleatorizado (indexado por PubMed)
Estudiado en
Personas
Resultado principal
Marcadores de salud y funcionamiento
Consumo medido con
No se indica

Quién lo pagó

Financiación
Financiación independiente
Gobierno
PROADI SUS

Según 1 financiador declarado y la declaración de financiación del texto completo.

Publicación

Publicado
2025-08-14 · Int J Environ Res Public Health · vol. 22 · número 8 · pág. 1275
Editorial
Multidisciplinary Digital Publishing Institute
Citado
2 citas · más que el 84% de estudios similares · 1.7× el promedio de su campo
Referencias
42 trabajos
Acceso
Acceso abierto (revista) · CC-BY
Áreas de investigación
Consumer Attitudes and Food Labeling · Nutritional Studies and Diet · Diet, Metabolism, and Disease
Palabras clave
ultra-processed foods, type 2 diabetes, NOVA classification, HbA1c, fasting blood glucose, lipid profile, LDL cholesterol, total cholesterol, body mass index, waist circumference, cardiovascular risk
MeSH
humans, diabetes mellitus, type 2, blood glucose, body mass index, diet, cross-sectional studies, food handling, adult, aged, middle aged, female, male, waist circumference, fast foods, glycated hemoglobin, food, processed

9 autores

  • Júlia Bauer🇧🇷Universidade Federal de Ciências da Saúde de Porto Alegre
  • Fernanda Oliveira Ayala🇧🇷Universidade Federal de Ciências da Saúde de Porto Alegre
  • Aline Marcadenti
  • Rachel Helena Vieira Machado
  • Ângela Cristine Bersch-Ferreira
  • Maria Fernanda Souza Moreira🇧🇷Universidade Federal de Ciências da Saúde de Porto Alegre
  • Mileni Vanti Beretta🇧🇷Universidade Federal de Ciências da Saúde de Porto Alegre
  • Ana Maria Pandolfo Feóli🇧🇷Pontifícia Universidade Católica do Rio Grande do Sul
  • Fernanda Michielin Busnello🇧🇷 · autor de correspondenciaUniversidade Federal de Ciências da Saúde de Porto Alegre

Resumen

El texto original del estudio, en el idioma en que se publicó.

Background

Understanding how food processing impacts type 2 diabetes (T2DM) control is essential for disease management. This study aimed to assess the association between ultra-processed food (UPF) consumption, as defined by the NOVA classification, and metabolic parameters in T2DM patients.

Methods

This was a cross-sectional analysis using baseline data from the NUGLIC study, a multicenter randomized clinical trial. Multiple linear and Poisson regressions were used to evaluate associations between quintiles of processed and ultra-processed food consumption and glycated hemoglobin (HbA1c) as the primary outcome. Secondary outcomes included fasting glucose, lipid profile, body mass index (BMI), and waist circumference.

Results

This study included 326 participants. UPF consumption accounted for approximately 16.4% of total daily energy intake. No significant linear associations were observed between higher consumption of industrialized foods and anthropometric or glycemic markers. However, intermediate and high consumption levels were associated with an increased total cholesterol (Q3: β = 26.6; Q4: β = 26.7) and LDL-cholesterol (Q4: β = 19.8; Q5: β = 17.5).

Conclusion

In T2DM patients, a higher intake of processed and ultra-processed foods was linked to elevated cholesterol and LDL levels. These findings highlight potential cardiovascular risks but do not support causality due to the study's cross-sectional design.

Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).

Confianza de la comunidad

Cargando…

¿Cuánto confías en los hallazgos de este estudio?

0 · nada10 · totalmente

Comentarios

¿Algo está mal aquí?

Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.

Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.