Growth and Nutritional Status of Kandra (Fisherman) Adolescent Girls from Ganjam, Odisha, India.

Introduction: The National Family Health Survey-4 data from Odisha shows, adolescent growth spurt and nutritional level needs to be studied comprehensively for designing appropriate policies. Kandra community of Odisha is a Schedule Caste (SC) community with low socio-economic status. No study has been done on growth spurt of girls from this community. Hence, the paper examined growth and nutritional trend and test for significant difference on height, weight, and Body Mass Index (BMI). Methodology: Cross-sectional study with 78 sample were collected from one Gram Panchayat of Ganjam district, India. Somatometric measurements i.e., height, weight, chest, and calf circumference were collected from school-going adolescent, randomly. Mean difference between early and middle adolescent were seen through Levene's Test for equality of variances and independent sample-t-test. Result: Findings say, adolescent growth spurt was highest at age 13-14 years. The overall median height and weight were reported less than Indian and National Center for Health Statistics (NCHS) standards. The difference between 12-13 years and 14-16 years were significant at p<.001 for BMI. Conclusion: Findings were like the gaps reported in NFHS-4 nutritional indictors and is a concern as the girls are going to be future mother, and deficiency may pull their life into risk.

The height importance of male athletes for the classification in the world handball championships

Abstract Aim: The main purpose of the study was to investigate the height factor and player position concerning final team ranking in the three age categories, youths, juniors, and seniors. Height data were checked. Methods: Data was analyzed from 24 participating teams for seniors (n = 972, age = 27.3 ± 4.5), juniors (n = 622 age = 19.9 ± 1.0), and youths (1035 age = 18.8 ± 0.2) from official data from the selected last male World Handball Championships of 2013-2019. For each participating player, his position was noted too: backs (left and right), pivot (line player), goalkeeper, back (center), and wings (left and right). The final team ranking was recorded and the 24 teams were divided into 3 ranking groups of 8 teams. Results: The ANOVA test proved that mean heights were significantly different between the three age groups (seniors: 190.04 ± 7.33, juniors: 187.28 ± 8.13, youths: 186.84 ± 7.55, F(2,3095) = 61.1 p < 0.001). Effect size 0.039. In all ranked groups and all categories, the heights of the players were significantly different between different player positions. The discrimination ability of height in all three categories and player positions represented an overall percentage of around 70% classifying the three 8-team ranking tiers. Conclusion: Height is a factor that differentiates high-level performance for both players' position and age categories. The practical results can help the national federations and coaches apply more effective strategies for player selection.

Propuesta de nuevas curvas de somatometría para recién nacidos sanos de nivel económico medio en la Ciudad de México / New somatometric curves for healthy newborns of average economic level in Mexico City

Introducción: Las curvas de somatometría son de gran utilidad en la evaluación de los pacientes pediátricos. Las curvas del Dr. Jurado García han mantenido su "vigencia" hasta la actualidad; sin embargo, tienen más de 40 años de haber sido publicadas, tiempo en que el crecimiento y desarrollo de los niños mexicanos han sufrido modificaciones por evolución natural. El objetivo del presente trabajo es informar de las curvas de crecimiento realizadas en el Hospital Torre Médica. Material y métodos: Se realizó una revisión de 5,799 historias clínicas perinatales producto de 5,733 partos atendidos en el Hospital Torre Médica de la Ciudad de México en el periodo comprendido del primero de enero de 1997 al 31 de diciembre de 2009. En el estudio se incluyeron 2,252 neonatos de 31 a 41 semanas de gestación, obtenidos de gestaciones únicas, sanos y sin patología demostrada en la madre. Se construyeron percentiles con los datos registrados mediante el programa Excel®. Resultados: En nuestra población obtuvimos resultados de referencia con la construcción de curvas de percentiles, identificando como normales o adecuados los valores que se encontraron dentro de los percentiles 3 a 97. Se construyeron curvas para peso, talla y perímetro cefálico acordes con la edad gestacional, para hombres y para mujeres. Conclusión: Debe continuar evaluándose si las curvas de Jurado García aún son de utilidad. Debemos exigirnos mayor dureza y rigidez estadística en los datos con los que se construyen las tablas y considerar nuevas curvas actualizadas a los nuevos tiempos.

Introduction: Somatometric curves are useful in the evaluation of pediatric patients. The curves of Dr. Jurado Garcia are 40 years old, so the current usefulness of those curves is controversial. The aim of this work is to report the growth curves performed at the Medical Tower Hospital. Material and methods: A prospective study of 5,799 clinical histories was performed at the Torre Medica Hospital, Mexico City. We included 2,252 newborns born from January 1997 to December 2009. A somatometric evaluation was achieved in relation to gestational age, weight, size, and cephalic perimeter. Results were presented by percentile curves. Results: In our population, the reference curves gave the best results for identifying fetuses with normal (> 3th percentile to < 97th percentile) weigth, size and cephalic perimeter. Curves for weight, length and head circumference were constructed according to gestational age for men and women. Conclusion: The percentiles of Jurado García have proved good concordance between the study population and the chosen reference data. Percentiles and standard deviation (DS) are a simple tool for evaluating the performance of each reference curve. The changes in the last 40 years in Mexico City in development, nutrition, weight and size have been important, therefore, percentils have to be revised for acurracy.