A Meal with Ultra-Processed Foods Leads to a Faster Rate of Intake and to a Lesser Decrease in the Capacity to Eat When Compared to a Similar, Matched Meal Without Ultra-Processed Foods.

: It is unknown whether the negative health effects associated with ultra-processed foods (UPFs) are due to their nutritional composition or to the extent of food processing itself. We evaluated the impact of a test meal composed only of UPF, according to the NOVA classification, compared to a similar meal without UPF in adults with obesity. : This is a parallel, randomized trial.

Impact of Individuals' Biological and Meals' Nutritional Characteristics on the Thermic Effect of Food in Humans: Meta-Regression of Clinical Trials.

Context: The thermic effect of food (TEF) may be a therapeutic target for the prevention and treatment of obesity.

Objective: The impact of different biological and nutritional characteristics on TEF in humans was analyzed.

Data Sources: The MEDLINE/PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Latin American and Caribbean Health Sciences Literature databases were searched until November 2023 without language restrictions.

Type and timing of ultra-processed foods consumption and its association with dietary intake and physical activity in women with obesity living in poverty.

Background: The present study aimed to investigate the type and timing of ultra-processed foods (UPF) consumption and its association with dietary intake (DI) and physical activity (PA) in women with obesity living in poverty.

Methods: A cross-sectional study was employed. Obesity was defined by at least two criteria (body mass index, waist circumference or % fat mass).

Longitudinal estimates of resting energy expenditure using predictive equations in individuals with excess weight after weight loss: A systematic review with meta-analysis.

Background & Aims: To determine which resting energy expenditure (REE) predictive equation has the lowest bias in the aggregate level in individuals with excess weight during weight loss interventions.

Methods: Searches were performed in MEDLINE, Web of Science, Scopus, CENTRAL and gray literature databases. Longitudinal studies on weight loss interventions which evaluated REE by predictive equations compared to that measured by indirect calorimetry in adults with excess weight at different follow-up times were included.

Use of the activPAL triaxial accelerometer to estimate total energy expenditure in low-income women: differences between body mass index classifications.

Objective: This study aimed to assess the agreement between the total energy expenditure (TEE) estimated by the activPAL triaxial accelerometers (ACC) and the TEE measured by the doubly labeled water method (DLW), as well as to assess if these values differ between the classifications of body mass index (BMI).

Materials And Methods: This is a cross-sectional study. Low-income adult women (19-45y) with BMI ≥ 18.

Estimates of resting energy expenditure and total energy expenditure using predictive equations in adults with overweight and obesity: a systematic review with meta-analysis.

Context: Energy expenditure predictive equations can generate inaccurate estimates for overweight or obese individuals.

Objective: The objective of this review was to determine which predictive equations for resting energy expenditure (REE) and total energy expenditure (TEE) have the lowest bias and the highest precision in adults with overweight and obesity.

Data Sources: Searches were performed in January 2022 in MEDLINE, Web of Science, Scopus, CENTRAL, and the gray literature databases.