19 research outputs found
The educational relationship between parents and children in the thinking of Giovanni Bollea
The article examines the thinking of Giovanni Bollea on the educational relationship between parents and children. By outlining the concepts of education, formation and instruction, the author clarifies the nexus between formation and care running through Bollea’s work. Formation meant as care also signifies ‘mutual growth’, and therefore not just the growth of the children, but of the parents as well. Hence, the family is a transforming system and at the same time a ‘support network’ for its members. The paper concludes by underlining Bollea’s attention to play activities in promoting children’s wellbeing
The prediction of total body water and extracellular water from bioelectric impedance in obese children
Objectives: To assess the reliability of bioelectric impedance analysis (BIA) for predicting total body water (TEW) and extracellular water (ECW) in obese children. Design: Comparison of five prediction models based on: (i) body weight (Wt), (ii) the impedance (Z) index (ZI = height2/Z), (iii) the association of Wt and ZI, (iv) the body surface area (SA) to impedance ratio (SA:Z) and, (v) the body volume (V) to impedance ratio CV:Z). Subjects: Thirty obese and 25 control children of 11.2 ± 1.8 y of age. Measurements: TEW and ECW were assessed by deuterium and bromide dilution; Z was measured at frequencies of 5, 50 and 100 kHz. Results: In controls, Wt explained 11% more variance of TBW than ZI (r2 = 0.977, SEE = 0.9 I, CV = 3.8%) and the association of Wt and ZI improved the prediction of TBW only slightly r2 = 0.982, SEE = 0.8 I, CV = 3.5%). The SA:Z and V:Z indexes explained 6 and 33% less variance of TBW respectively as compared to Wt alone. In obese subjects, ZI explained 4% more variance of TBW than Wt (r2 = 0.914, SEE = 0.8 I, CV = 6.4%) and the SA:Z ratio was the most accurate predictor of TBW (r2 = 0.959, SEE = 1.2 I, CV = 4.4%). However, the increase in the explained variance of TBW associated to the use of the SA:Z ratio was of only 1% as compared to the association of ZI and Wt. The V:Z ratio explained 9% less of variance of TBW as compared to ZI. In both control and obese subjects, the association of Wt and ZI offered the best prediction of ECW (r2 = 0.807, SEE = 1.564 I and r2 = 0.826, SEE = 1.035 I, respectively). However, the values of CV were much higher in controls than in obese children (17.5% vs 8.4%) owing to their lower ECW and greater variability in ECW%. ZI was the most accurate predictor of TBW on the pooled sample (n = 55; r2 = 0.910, SEE = 1.932 I, CV = 7.4%). However, it was a poor predictor of ECW on the same sample owing to its high CV (n = 55; r2 = 0.866, SEE = 1.806 I, CV = 17.0%). Conclusions: The body surface area to impedance ratio is the most accurate predictor of TBW in obese children but the association of ZI and Wt may be of more interest when BIA is used to estimate both TBW and ECW. The impedance index offers a good prediction of TBW but not of ECW in children with different levels of fatness
Comparison of body composition of age matched Italian, Ukrainian and Dutch children.
In the present study, the body composition was measured in 35 Ukrainian children, 14 boys and 21 girls, aged 8-12 years, by dual-energy X-ray absorptiometry (DEXA), anthropometry, and bioelectrical impedance. The results were compared with those obtained from a sample of the same number of Italian and Dutch children of the same sex and range of age. The Ukrainian children were slightly smaller, had a lower body weight, and had a lower body fat percentage, as measured by skinfolds, as compared with the Italian and Dutch children, as well as a lower calculated fat-free mass (FFM) by impedance. Comparison between FFM as determined by different methods in the Ukrainian children showed that all assessed values differed significantly. In particular, all methods overestimated the FFM as compared with DEXA, but the differences between DEXA and the other methods were not dependent on the level of FFM as determined by DEXA. Furthermore, the difference between predicted FFM and FFM values obtained by DEXA was correlated for skinfolds and body mass index (r = 0.77, p < 0.01), but not for body mass index and impedance, or skinfolds and impedance. The mean differences were 1.8 +/- 1.5 for body mass index, 1.0 +/- 1.4 for impedance, and 3.6 +/- 1.6 for skinfolds. Some differences in the body composition have also been found between boys and girls. The boys had higher values of lean tissue (23.3 +/- 3.1 vs. 20.7 +/- 3.3; p < 0.01) and FFM (24.5 +/- 3.3 vs. 21.8 +/- 3.5; p < 0.01) as compared with the girls and slightly higher values of bone mineral content. It should be noted, however, that the differences between different groups and different methods are always small, even when they are statistically significant
