, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women age from 16 to 72 years. Br J Nutr 1974; 32: 77-95. Michalczyk M, Kłapcińska B, Sadowska-Krepa E, Jagsz S, Pilis W, Szołtysek-Bołdys I, Chmura J, Kimsa E, Kempa K. Evaluation of the blood antioxidant capacity in two selected phases of the training cycle in professional soccer players. J Human Kinet 2008; 19: 93-108. Stupnicki R, Tomaszewski P, Milde K. Contributions of age, body height and
Elżbieta Hübner-Woźniak, Joanna Okecka-Szymańska, Romuald Stupnicki, Marzena Malara and Ewa Kozdroń
Darko D. Dželajlija, Slavica S. Spasić, Jelena M. Kotur-Stevuljevic and Nataša B. Bogavac-Stanojevic
S, Nedeljković S, Milinčić Z, Vukotić M, Novaković I, Nikolić D, et al. Anthropometric and lipid parameters trends in school children: one decade of YUSAD Study. Srp Arh Celok Lek 2011; 139: 465-9. 17. Berenson GS, Srinivasan SR, Bao W, Newman WR, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults: Bogalusa Heart Study. N Engl J Med 1998; 338: 1650-56. 18. Freedman DS, Serdula MK, Srinivasan SR, Berenson GS. Relation of circumferences and skinfold
Rasha A. Radwan, Nermeen Z. Abuelezz, Sahar M. Abdelraouf, Engy M. Bakeer and Abdullah A. Abd El Rahman
Measurements Anthropometric measurements included body weight, height, mid-upper arm, thigh waist and hip circumferences and abdominal skinfold thickness. All measurements were taken 3 times on the left side of the body. Body weight was measured to the nearest 0.1 kg and height was measured to the nearest 0.1 cm. Height was measured with patients standing with their backs leaning against the stadiometer of the same scale. BMI was calculated as weight in kilograms divided by height in square meters (kg/m 2 ). Waist circumference (WC) and hip circumference (HC) were measured
Lidia Man, Adrian Man, Cristina Oana Mărginean, Ana Maria Pitea and Maria Despina Baghiu
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.