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Background: Over 60 years ago the biggest drug catastrophe in Germany took place. The drug thalidomide, sold by the German pharmaceutical company Chemie Grunenthal GmbH starting in 1957 under the name "Contergan", caused severe birth defects in newborns. Chemie Grunenthal withdraw Contergan in 1961. Until nearly 30 years later in 1988 there were already over 10.000 children born with severe birth defects (e.g. dysmelia, amelia, congenital heart defect). Due to the high variability of the birth defects caused by thalidomide, later called thalidomide embryopathy, there is still no detailed information about the proportions of limbs. Aim: The aim is to develop reference centiles for limb measurements of men and women aged 19-70 years old. Method: For the calculation, data of healthy men and women (m = 2984, f = 2838) from former East Germany were used and centiles using the LMS-method were developed. Results: Centile tables for arm and leg length of men and women are presented in the results. The variability is small due to a homogeneous distribution of the measurements. A test with randomly chosen patient data shows that women under 171 cm stature and men under 180 cm stature can be assessed correctly. A severe shortening of limbs can be detected with this method.
‘Nutrition influences height’ has been a common concept for the last decades. Recently, contradictory results occurred when studying the effectiveness of nutritional interventions, questioning the interaction of nutrition and height. Therefore, we hypothesize that, independently of population/country, nutrition does not affect height in children and adolescents. We analyzed data from the study “Young Lives” which was performed in Ethiopia, India, Peru, and Vietnam to describe the health situation of children. We used linear mixed effect models to analyze the influence of nutrition on height. Furthermore, we used Structural Equation Modeling (SEM) to test if the commonly assumed hypothetical interaction of height and nutrition can be supported by data from low and middle-income countries. Estimates for nutrition on height of linear mixed effect models were about zero and randomly significant or non-significant in all analyzed countries. Furthermore, SEM led to the rejection of the ‘nutrition influences height’-hypothesis, as data did not support the models based on this hypothesis. We do not find evidence for a nutritional influence on height in children and adolescents from low and middle-income countries. The widespread assumption that inadequate diet is reflected in short stature, which all modern nutritional interventions are based on, needs to be critically reviewed.
Meeting Reports
(2019)
Thirty-one scientists met at Aschauhof, Germany to discuss the role of beliefs and self-perception on body size. In view of apparent growth stimulatory effects of dominance within the social group that is observed in social mammals, they discussed various aspects of competitive growth strategies and growth adjustments. Presentations included new data from Indonesia, a cohort-based prospective study from Merida, Yucatan, and evidence from recent meta-analyses and patterns of growth in the socially deprived. The effects of stress experienced during pregnancy and adverse childhood events were discussed, as well as obesity in school children, with emphasis on problems when using z-scores in extremely obese children. Aspects were presented on body image in African-American women, and body perception and the disappointments of menopause in view of feelings of attractiveness in different populations. Secular trends in height were presented, including short views on so called 'racial types' vs bio-plasticity, and historic data on early-life nutritional status and later-life socioeconomic outcomes during the Dutch potato famine. New tools for describing body proportions in patients with variable degrees of phocomelia were presented along with electronic growth charts. Bio-statisticians discussed the influence of randomness, community and network structures, and presented novel tools and methods for analyzing social network data.