Objective: To describe weight and height evolution and to identify risk factors for insufficient anthropometric growth in children with congenital heart disease.
Methods: Historical cohort study including 131 children with congenital heart disease, followed up at a nutrition outpatient clinic. The anthropometric indices over time (initial score, after 12 and 24 months of follow-up) were analyzed using generalized estimating equations. The outcome was 'insufficient weight-height gain', defined as an increase of ≤0.5 in the z-score of weight-for-age (W/A), height-for-age (H/A) or body mass index-for-age (BMI/A) after 12 months of follow-up. Multiple logistic regression models were applied to identify risk and confounding factors.
Results: The z-scores of W/A (p<0.001) and BMI/A (p<0.001) improved after 12 months, as well as the three indexes after 24 months (p<0.001). At the end of this period, 55.7% of the patients did not achieve an increase of >0.5 in the Z score of W/A; 77.1%, of H/A; and 45.8%, of BMI/A. A follow-up of less than five appointments was associated with insufficient gain in W/A (OR 7.78; 95%CI 3.04-19.88), H/A (OR 10.79; 95%CI 2.22-52.45) and BMI/A (OR 2.54; 95%CI 1.12-5.75). Not having undergone cardiac surgery and being aged ≥12 months were factors associated with insufficient W/A gain (OR 3.95; 95%CI 1.38-11.29/OR 3.60; 95%CI 1.33-9.72) and BMI/A (OR 2.81; 95%CI 1.08-7.28/OR 3.39; 95%CI 1.34-8.56). Low income was associated with insufficient H/A gain (OR 4.11; 95%CI 1.25-13.46).
Conclusions: Being aged less than or 12 months, the lowest number of appointments, absence of surgical treatment and low family income were risk factors for insufficient weight and height gain in children with congenital heart disease.
Objective: To assess the prevalence of excessive use of social media and associated factors, as well as possible health consequences in high school students in southern Brazil.
Methods: This is a population-based cross-sectional study, conducted with high school students in the city of Rio Grande, RS. All students who were attending high school at the Federal Institute of Rio Grande do Sul, campus Rio Grande, were eligible for this research in the second semester of 2019. In total, 513 students participated in the study. The dependent variable was excessive use of social media, defined as more than five hours per day. Descriptive and bivariate analyses were carried out and the Poisson regression was used to verify associations, with robust adjustment of variance.
Results: The prevalence of students who reported excessive use of social media was 35.9%. The groups that were most susceptible to excessive use of social media had the following profile: female, black/brown skin, aged between 18 and 20 years old, attending the first year of high school. Excessive use of social media was shown to be associated with smoking, risk of depression, anxiety and stress, high risk of suicide and drug use.
Conclusions: More than a third of students used social media excessively. This behavior was associated with negative health outcomes.
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