Publications by authors named "Cristiana C Oliveira"

Introduction: The increasing prevalence of obesity has become a major health problem worldwide. The causes of obesity are multifactorial and could be influenced by dietary patterns and genetic factors. Obesity has been associated with a decrease in micronutrient intake and consequently decreased blood concentrations.

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Background: Telomeres are structures located at the ends of chromosomes associated with a protein complex, known as the shelterin complex. In individuals with obesity, excess adipose tissue plays a key role in inducing a chronic and systemic inflammatory state, which can cause TL shortening. In this context, bariatric surgery is one of the most effective treatment modalities in improving metabolic control.

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Objective: Resting metabolic rate (RMR) is an important parameter to guide the nutritional therapy of class III obese patients. The aims of the present study were to develop a predictive equation for RMR estimation in class III obese women using anthropometric indicators and to compare indirect calorimetry with other predictive equations.

Methods: This was a cross-sectional study on women with class III obesity (body mass index >40 kg/m).

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Background: Analysis of the expression of genes related to the energy metabolism can elucidate the understanding of physiological and genetic factors that contribute to obesity. This study aimed to evaluate the expression of genes and its influence on resting metabolic rate and weight loss in obese patients before and after bariatric surgery.

Methods: This study was conducted on 23 women, who were divided into two groups: bariatric surgery (preoperative and 6 months after surgery) and control.

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Background/objective: Uncoupling proteins (UCPs) are located in the inner membrane of mitochondria. These proteins participate in thermogenesis and energy expenditure. This study aimed to evaluate how UCP1 and UCP3 expression influences substrate oxidation and elicits possible changes in body composition in patients submitted to bariatric surgery.

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Objectives: Bioelectrical impedance can be interpreted by vector analysis using direct measures of the impedance vector; thus, collecting information about resistance (R), reactance (Xc), and phase angle (PA) makes it possible to classify an individual's nutritional status. The aim of this study was to investigate these values and construct bioelectrical references for healthy Brazilian adolescents.

Methods: This is a cross-sectional study that included 567 healthy adolescents, aged 10 to 18 years.

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