Objective: To evaluate the anthropometric and biochemical status of children with nutritional deficiency. Methods: We have conducted a prospective study on 226 children admitted in Pediatric Clinic I, divided into two groups: one group of 49 children with nutritional deficiency (body-mass-index < -2SD) and one control group (177 children). We have followed demographic data, anthropometric indices evaluated as standard deviations (weight, height, middle upper-arm circumference, tricipital skinfold), biochemical proteic status (Insulin-like Growth Factor 1 IGF-1, albumin, total proteins). We also followed parameters of general nutritional biochemistry. Results: The mean age for underweight children was 5.8 years, lower than in the control group. The weight of the nutritional-deficient group was significantly lower than in the control group, unlike the height (p <0.001). We have also found significant differences in body-mass-index, middle upper-arm circumference and tricipital skinfold, all of them with low SDs in children with nutritional deficiency. Regarding the biochemical markers, we have found significantly higher values of transaminases (p <0.001) and lower IGF-1 (p = 0.02) and total proteins (p = 0.013) in nutritional-deficient group. Most IGF-1 values were in normal range in both groups, but with a higher percent of low values in nutritional deficient children (37.5% vs 14.2%, p = 0.0046). There were no significant differences in height, albumin, cholesterol, triglyceride and glucose levels between the two groups. Conclusions: The anthropometric measurements are the most precise methods in evaluating the nutritional status. Among the studied biochemical markers, IGF-1, total proteins and transaminases are correlated with nutritional deficiencies
The aim of the present study was to investigate differences regarding 24-hour blood pressure and arterial stiffness in a cohort of office normotensive obese and non-obese children and adolescents, and to evaluate correlations of these parameters with some anthropometric indices. We retrospectively evaluated ABPM records in 71 children (42 boys); 31 obese compared with 40 normal-weight children.
Results: Mean 24-hour, day-time and night-time SBP was significantly higher in the obese group than in the control group (p <0.01 during the entire period). Significantly higher AASI values were found in obese children compared to controls (0.45 vs. 0.41, p <0.05), the difference being more obvious for day-time AASI (p <0.001).
Conclusions: This research confirms that SBP and AASI are increased in obese children. AASI is a useful index of arterial stiffness that can be easily measured under ambulatory circumstances in children.
Purpose: to evaluate the serum levels of micronutrients in children with nutritional disorders, and to find if there is a direct correlation between them and the anthropometric measurements. Materials and methods: the study was conducted on 125 children (0-18 years); the working group consisted in children with Z-score < -2 standard deviations for at least one anthropometric measurement, while the children without growth disorders were considered as controls. Thus, for each anthropometric measurement, we had different working/control groups that were used for the assessment of correlation with laboratory findings. We followed eight anthropometric parameters and their relation with five of the micronutrients (Ca, Mg, Fe, Zn and Cu). Results: no statistical differences were found in micronutrients serum levels between genders or provenance. Most mean serum levels of micronutrients were lower in the children with Z-scores < -2 standard deviations (except Cu). Mg and Ca were positively correlated with most of the anthropometric measurements. For Fe, Zn and Cu, we found no correlation with any of the anthropometric measures. Differences in mean serum levels were found for Mg, with lower values in children with low weight-forage and triceps-skinfold-thickness, and for Cu, with higher levels in children with low triceps-skinfold-thickness. The red blood cell indices were positively associated with Fe and Zn levels. Conclusions: correlations between the serum level of micronutrients and anthropometric evaluation scores were found for Mg and Ca, but not for Fe and Zn, which were instead directly correlated with red blood cells indices. Mg, Fe and Zn tend to present small serum values in children with growth deficits. Considering the costs, the routine evaluation of Zn and Cu serum levels in growth disorder suspicion is not justified in our geographic area.