2 resultados para Low-index surfaces

em Scielo España


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Background: It is believed that the glycemic index (GI) may be used as a strategy to prevent and control noncommunicable diseases (NCD). Obesity is a multifactorial condition, a risk factor for development of other NCDs. Among the different types, abdominal obesity is highlighted, which is essential for the diagnosis of metabolic syndrome, and it is related to insulin resistance, dyslipi-demia, hypertension and changes in levels of inflammatory markers. Such indicators are closely related to the development of Type 2 Diabetes and cardiovascular disease. Objectives: Discuss the role of GI as a strategy for the prevention and/or treatment of visceral obesity, subclinical inflammation and chronic diseases. Results and discussion: The intake of low GI diets is associated with glycemic decreases, and lower and more consistent postprandial insulin release, avoiding the occurrence of hypoglycemia. Moreover, consumption of a low GI diet has been indicated as beneficial for reducing body weight, total body fat and visceral fat, levels of proinflammatory markers and the occurrence of dyslipidemia and hypertension. The intake of low GI foods should be encouraged in order to prevent and control non-communicable diseases.

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Background: Anthropometric indicators are difficult to interpret in very low birth weight (VLBW) premature infants, including both appropriate for gestational age (AGA) and small for gestational age (SGA) infants. Therefore, the purpose was to describe the anthropometric indicators of growth and nutritional status in VLBW premature infants AGA and SGA, hospitalized in a neonatal intensive care unit (NICU). Study design: The descriptive and prospective study design included 114 preterm infants, adequate for gestational age/small for gestational age hospitalized in the intensive care unit. Head, thigh, mid upper arm circumference, skin-fold measurements and weight/age, length/ age, and weight/length indices were obtained. Correlations were made among the anthropometric indices, and a multivariate regression analysis with weight/age as dependent variable was performed. Results: Weight/age in AGA premature infants had high number of significant anthropometric correlations. The SGA premature infants had few and weak correlations. The regression analysis showed that anthropometric indices better explain changes in the weight/age index in adequate for gestational age premature infants. Conclusion: Weight/age in the VLBW/AGA premature infants could reflect growth, nutritional status and energy stored as fat, but in the VLBW/SGA premature infants, thigh circumference and mid arm circumference would be better indicators just of nutritional status.