Publications by authors named "Andre Eduardo Silva Junior"

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).

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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.

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Objective: Food addiction (FA) has been extensively investigated worldwide; however, the prevalence of FA in the Latin American population has yet to be established and past work has largely neglected the specificities of this region, that includes the most significant economic disparities in the world. Thus, the objective of this study was to assess the prevalence of FA measured by the Yale Food Addiction Scale in Latin America.

Method: The search was performed on MEDLINE, ScienceDirect, LILACS, IBECS, SciELO, PsycArticles, CENTRAL, and the gray literature.

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Few studies have investigated which types of food are least reported among underreporters of energy intake (EI). This study assessed the association between the underreporting of EI and the consumption report of food groups according to NOVA classification in women in social vulnerability. EI was measured through three 24-h dietary recalls administered by the research team.

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Article Synopsis
  • - The study investigates how economic class and race/skin color influence food consumption patterns among Brazilian college students through an online survey of 5,843 participants.
  • - Findings reveal that as economic status decreases, consumption of fresh fruits and vegetables also drops, while bean consumption increases, highlighting disparities based on income levels.
  • - Additionally, race/skin color affects diet, with brown and black students consuming fewer vegetables but more sweetened beverages compared to white students, indicating that both economic class and racial background independently impact food choices.
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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.

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The study's objective was to determine the prevalence of food addiction (FA) in Brazilian university students and to verify whether there is an association with anxiety, depression, and adherence to the social distancing measures adopted during the COVID-19 pandemic. This is a nationwide cross-sectional study carried out through the application of online questionnaires. Self-reported data on age, sex, economic class, race/skin color, anthropometric data, depression diagnosis, anxiety, modified Yale Food Addiction Scale 2.

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Reducing sedentary behaviour (SB) and increasing physical activity (PA) by sitting less and standing/walking more is advised to prevent chronic diseases. However, the mechanisms underlying this recommendation are not well established, especially in individuals with obesity living in low-income regions. The present study evaluated whether there are associations between PA indicators (PAI - standing time, walking time and the number of steps/d) and SB indicators (SBI - sitting/lying down time) with the hormonal profile and resting energy expenditure (REE) of adult women living in a low-income region.

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There is evidence that during the COVID-19 pandemic, there was an increase in anxiety and depression rates among college students. However, little is known about how generalized anxiety disorder (GAD) developed among individuals of different race/skin color. This study aimed to determine whether there are racial differences in GAD in Brazilian university students during the COVID-19 pandemic.

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Background & Aims: Time-restricted feeding (TRF) studies have been summarized in previous systematic reviews, but these were not specific for individuals with excess weight and studies involving early time-restricted feeding (eTRF). This meta-analysis aimed to evaluate the effect of eTRF on the metabolic profile of adults with excess weight.

Methods: Data were extracted from MEDLINE, CENTRAL, LILACS, Web of Science, ClinicalTrials.

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Background & Aims: Time-restricted feeding (TRF) studies usually are of short-term, involving heterogeneous populations, without a control group with similar energy restriction. Besides, it seldom assess vital signs such as body temperature and heart rate, which may be influenced by the fasting state. In this investigation, we assessed the long-term effects of TRF on body weight, body composition and vital signs of low-income women with obesity undergoing diets with the same energy deficit.

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Objectives Indirect calorimetry is established as a gold standard to determine the resting metabolic rate (RMR), however, its clinical use is limited, especially in low-income settings. Thus, the use of predictive equations appear as an alternative to estimate the RMR, but its precision is debatable, especially in obese individuals and in populations without specifically developed equations. To evaluate the agreement between the RMR estimated by equations and by indirect calorimetry in low-income obese women.

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