Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

ASSOCIAÇÃO ENTRE O CONSUMO DE ULTRAPROCESSADOS E O ESTADO NUTRICIONAL DE IDOSOS COM DIABETES MELLITUS TIPO 2

M. E. Krahl, Patrícia Fassina

Revista Foco · 2025

Read source ↗ All evidence

Summary

This cross-sectional study of 144 older adults (≥60 years) with type 2 diabetes in southern Brazil investigated whether excessive ultra-processed food consumption was associated with poor nutritional status. Using 24-hour dietary recall and BMI measurement, the authors quantified ultra-processed foods as a percentage of daily energy intake (using ≥15% as the threshold for excessive consumption). Contrary to expectations based on the established link between ultra-processed food and obesity risk, the study found no statistically significant association between ultra-processed food consumption and nutritional status in this clinical population.

Regional applicability

This Brazilian study may have limited direct applicability to United Kingdom contexts due to differences in food systems, dietary patterns, and the nutritional composition of ultra-processed products available locally. However, the methodological approach and null finding warrant consideration in UK clinical practice, particularly when assessing whether ultra-processed food consumption is a robust predictor of poor nutritional outcomes in older adults with type 2 diabetes.

Key measures

Body Mass Index (BMI), 24-hour dietary recall, ultra-processed food energy contribution (≥15% of daily energy intake defined as excessive consumption)

Outcomes reported

The study examined the association between ultra-processed food consumption (quantified as percentage of daily energy intake) and nutritional status (BMI) in older adults with type 2 diabetes. No significant association was found between ultra-processed food consumption and nutritional status in the study population.

Theme
Nutrition & health
Subject
Food environments & consumer behaviour
Study type
Research
Study design
Observational cohort (cross-sectional)
Source type
Peer-reviewed study
Status
Published
Geography
Brazil
System type
Food supply chain
DOI
10.54751/revistafoco.v18n12-198
Catalogue ID
SNmpyz6d12-iiq5ny

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.