The HOMA-IR index constitutes a reliable method for the detection of insulin resistance in adolescents, as long as it uses cutoffs that are more adequate for the reality of the study population, allowing early diagnosis of insulin resistance and enabling multidisciplinary interventions aiming at health promotion of this population.
Objective: To identify the prevalence of insulin resistance in adolescents and its associations with metabolic factors and food intake. Methods: Cross-sectional study conducted with a stratified, complex, school-based sample. The subjects were adolescents (n=1,081) who participated in the Study of Cardiovascular Risk in Adolescents in the city of Recife (Pernambuco, Brazil). We analyzed demographic, socioeconomic, behavioral, anthropometric, biochemical, and dietary variables. Insulin resistance was defined as HOMA-IR>75th percentile. A Poisson multivariate regression model with robust variance adjustment was used, and variables with p≤0.05 in the final model were considered statistically associated with insulin resistance. Results: Median age was 14 years (interquartile range: 13-16 years), and 25.3% of the sample showed insulin resistance. The variables associated with insulin resistance in the final model were age, body mass index-for-age (BMI/A), biochemical markers (triglycerides and high-density lipoprotein cholesterol) and saturated fat intake, with insulin resistance being more prevalent in individuals whose consumption of this type of fat was below the median of the sample distribution. Conclusions: Insulin resistance was prevalent in the adolescents analyzed and was significantly associated with metabolic variables and saturated fat intake.
OBJECTIVE: Considering the rapid spread of COVID-19, the scientific community has been looking for ways to recognize factors that may interfere with the outcome of viral infection. Despite the lack of studies with the new coronavirus, it is known that adequate serum levels of micronutrients are essential for the organic response to infectious diseases. Thus, we aim to review the effects of vitamin A, D, iron, zinc, or folate deficiency on the prognosis of patients with respiratory infections with manifestations similar to COVID-19 and discuss about supplementation of the nutrients analyzed in this review. METHODS: The search was conducted in the databases PubMed, Lilacs, and SciELO, including observational studies published between 2010-2020, with results for individuals with respiratory tract infections with manifestations similar to COVID-19. RESULTS: Six articles met the inclusion criteria, all of which were related to deficiencies of vitamins A and D. In general, vitamin A deficiency was associated with cough, fever, and greater total respiratory resistance. Regarding vitamin D, the lack of this nutrient led to higher rates of ICU admission, the need for mechanical ventilation, and mortality. Evidence linking specific relationships between nutritional deficiencies and COVID-19 remain lacking due to the small number of studies and heterogeneities in population subgroups. CONCLUSION: In conclusion, deficiencies of vitamins A and D seem to negatively affect the prognosis of respiratory tract infections. Supplementation of these nutrients for prevention or treatment of patients diagnosed with COVID-19 should respect serum levels, nutritional status and housing conditions (e.g.,endemic location) of individuals.
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