Publications by authors named "Scheine L Canhada"
Comparing diabetes prediction based on metabolic dysfunction-associated steatotic liver disease and nonalcoholic fatty liver disease: the ELSA-Brasil study.
Cad Saude Publica
November 2024
Article Synopsis
- The study compared the definitions of nonalcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated steatotic liver disease (MASLD) in predicting diabetes among Brazilian adults.
- Utilizing data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), researchers analyzed 7,073 participants aged 35-74, focusing on those with ultrasound-confirmed steatosis and cardiometabolic factors.
- Over 9.4 years, both NAFLD and MASLD showed a significant increase in diabetes incidence (78% for NAFLD and 88% for MASLD), with similar results across different race/skin color groups.
Background: Ultra-processed food (UPF) consumption increases the risk of type 2 diabetes in various high-income countries, with some variation in the magnitude across studies. Our objective was to investigate the association of UPF consumption and specific subgroups with incident type 2 diabetes in Brazilian adults.
Methods: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a multicenter cohort study of 15,105 adults (35-74 years) enrolled in public institutions in Brazil (2008-2010).
Objective: To investigate the association between ultra-processed food (UPF) consumption and the incidence of metabolic syndrome (MetS).
Research Design And Methods: From 2008 to 2010, we enrolled 15,105 adults, aged 35-74 years, who were employees from six public education and research institutions to assemble the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We used a food frequency questionnaire to assess UPF consumption (measured in grams per day) at baseline.
Objective: To evaluate the association of ultra-processed food (UPF) consumption with gains in weight and waist circumference, and incident overweight/obesity, in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort.
Design: We applied FFQ at baseline and categorized energy intake by degree of processing using the NOVA classification. Height, weight and waist circumference were measured at baseline and after a mean 3·8-year follow-up.