hrp0086p1-p823 | Syndromes: Mechanisms and Management P1 | ESPE2016

Effects of a Stressful Environment (SE) on Height, BMI and Menarche

German Alina , Mesch Gustavo , Shmoish Michael , Hochberg Ze'ev

Background: Children’s exposure to stress predicts poor health. Poor growth and maturation are recognized indicators of poor health.Objective and hypotheses: SE correlates with height, BMI and menarche. We correlated seven indicators of SE with countries’ average adult height, BMI and menarche age.Method: Data for 57 countries of average men and women’s height, BMI and menarche age were collected from WHO report. The...

hrp0084p2-241 | Bone | ESPE2015

Quantitative Sonometeric Bone Age as a Function of Height and BMI

German Alina , Koren-Morag Nira , Levin Shmuel , Hochberg Ze'ev

Background: We have previously shown that bone age (BA) assessment by SonicBone BAUSTM, measuring the speed of sound (SOS) of US waves propagating along measured bone, is reproducible and comparable to both GP and TW3 x-ray assessment of BA. This provides a safe and irradiation-free method to the assessment of BA in healthy children.Objective and hypothesis: We aimed to understand the dependency of BA on a child’s height and BMI using son...

hrp0089p3-p323 | Sex Differentiation, Gonads and Gynaecology or Sex Endocrinology P3 | ESPE2018

Novel Mutation in Two Related 46, XY Phenotypic Females with 17β-Hydroxysteroid Dehydrogenase 3 Deficiency

German Alina , Tiosano Dov , Chertin Boris , Nadeem Sabea , Tenenbaum-Rakover Yardena

Introduction: Deficiency of 17β-hydroxysteroid dehydrogenase 3 (17β-HSD3) enzyme encoded by HSD17B3 is a rare cause of disorders of sex development (DSD). The phenotype associated with 17β-HSD3 deficiency in 46, XY individuals is variable, ranging from predominantly male external genitalia with micropenis and hypospadias to completely female external genitalia. The diagnosis and management of this enzymatic defect is very challenging.<p class="abste...

hrp0095rfc7.1 | Growth and Syndromes | ESPE2022

The grandma X-rays-independent height prediction

German Alina , Albertsson-Wikland Kerstin , Shmoish Michael , Rubin Lisa , Niklasson Aimon , Hochberg Ze'ev

Background/Aim: Parents wanting to predict adult height (AH) often resort to the old practice of doubling a boy’s height at age 2 years or a girl’s height at 18 months. We coined this the ’Grandma prediction’ (GMP1). It provides predictions with mean absolute error (MAE) 5.9 and 5.2, standard deviations of residuals (sdRES) 4.1 and 3.6, and Pearson correlation r=0.68 and 0.67 for boys and girls, respectively. The recent sophist...

hrp0095p1-462 | Fat, Metabolism and Obesity | ESPE2022

Energy Trade-Off Score - a novel anthropometric polygenic trait, and related body types

Hochberg Ze'ev , Albertsson-Wikland Kerstin , Privé Florian , Holmgren Anton , Rubin Lisa , German Alina , Shmoish Michael

Background/Aim: The trade-off theory claims that a resource (calorie) stored in adipose tissue cannot be used for longitudinal growth, and a calorie used for growth will not be stored as fat.Methods: Out of 2339 children with longitudinal heights and weights (birth to adulthood) from the GrowUp1990 Gothenburg cohort, 1993 (996 girls) were analyzed. For everyone we calculated Energy Trade-Off Score: ETOS = at early adulth...

hrp0092p1-59 | Fat, Metabolism and Obesity | ESPE2019

Growth Patterns in Non-syndromic Childhood Overweight: Comparing Children with Early of Late Onset Weight Gain

German Alina , Vaisbourd Julia , Wikland Kerstin Albertsson , Gelander Lars , Holmgren Anton , Niklasson Aimon , Hochberg Ze'ev

Background: A rapid weight gain during infancy increases adult lean body mass, whereas weight gain during adiposity rebound at age 4-7 years results in increased adult fat mass and an increased risk of the metabolic syndrome and T2D. To understand the impact of age of obesity onset on growth, we classified non-syndromic childhood overweight into an early onset (EO, age 0-3) and a late onset (LO, age 3-7) group and characterized the growth patterns of the two.<...

hrp0089fc4.5 | GH &amp; IGFs | ESPE2018

Prediction of Adult Height by Artificial Intelligence (AI) through Machine Learning (ML) from Early Height Data

Shmoish Michael , German Alina , Devir Nurit , Hecht Anna , Butler Gary , Niklasson Aimon , Albertsson-Wikland Kerstin , Hochberg Ze'ev

Context: Growth analyses have traditionally been done by either non-structural descriptive statistics or by fitting models. While we usually describe height and weight separately, we assume reciprocity of weight and height on each other. We utilize ML to predict ages 7–18 y height based on height and weight data up to age 6y.Methods: After pre-processing the height and weight, primary and secondary features (height SDS, BMI, growth velocity) of 1596...

hrp0089fc10.6 | Late Breaking | ESPE2018

Primary Ovarian Insufficiency Incidence Rate and ETIOLOGY AMONG ISRAELI ADOLESCENTS between the Years 2000–2016 – A Multi-Center Study

Gruber Noah , Kugler Shir , de Vries Liat , Brener Avivit , Zung Amnon , Eyal Ori , Rachmiel Marianna , Koren Ilana , Tenenbaum-Rakover Yardena , Hershkovitz Eli , Landau Zohar , Oren Meirav , Eliakim Alon , Zangen David , German Alina , Majdoub Hussein , Mazor-Aronovitch Kineret , Modan-Moses Dalit , Yeshayahu Yonatan , Naugolni Larisa , Levy-Shraga Yael , Ben-Ami Michal , Brill Gherta , Levy-Khademi Floris , Avnon-Ziv Carmit , Tiosano Dov , Harel Shira , Kedem Einat , Segev-Becker Anat , Shoenfeld Yehuda , Pinhas-Hamiel Orit

Introduction: Primary ovarian Insufficiency (POI) occurring in youth is a devastating condition. POI is characterized by at least 4 months of disordered menses in association with menopausal follicle stimulating hormone (FSH) levels. The most common causes of POI in adolescence are iatrogenic and chromosomal abnormalities. Data are scarce regarding the incidence of POI in adolescents.Objectives: We aimed to estimate the incidence and the distribution of ...