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Growth during times of fear and emotional stress

Authors :
Scheffler, Christiane (Dr.)
Rogol, Alan D. (Prof.)
Iancu, Mirela
Hanc, Tomasz
Moelyo, Annang Giri
Suchomlinov, Andrej
Lebedeva, Lidia
Limony, Yehuda
Musalek, Martin
Veldre, Gudrun
Godina, Elena Z.
Kirchengast, Sylvia
Mumm, Rebekka (Dr.)
Groth, Detlef (Dr.)
Tutkuviene, Janina
Böker, Sonja
Ozer, Basak Koca
Navazo, Barbara
Spake, Laure
Koziel, Slawomir
Hermanussen, Michael (Prof. Dr.)
Publication Year :
2021

Abstract

Twenty-one scientists met for this year’s virtual conference on Auxology held at the University Potsdam, Germany, to discuss child and adolescent growth during times of fear and emotional stress. Growth within the broad range of normal for age and sex is considered a sign of good general health whereas fear and emotional stress can lead to growth faltering. Stunting is a sign of social disadvantage and poor parental education. Adverse childhood experiences affect child development, particularly in families with low parental education and low socioeconomic status. Negative effects were also shown in Indian children exposed prenatally and in early postnatal life to the cyclone Aila in 2009. Distrust, fears and fake news regarding the current Corona pandemic received particular attention though the effects generally appeared weak. Mean birth weight was higher; rates of low, very and extremely low birth weight were lower. Other topics discussed by the participants, were the influences of economic crises on birth weight, the measurement of self-confidence and its impact on growth, the associations between obesity, peer relationship, and behavior among Turkish adolescents, height trends in Indonesia, physiological neonatal weight loss, methods for assessing biological maturation in sportsmen, and a new method for skeletal age determination. The participants also discussed the association between acute myocardial infarction and somatotype in Estonia, rural-urban growth differences in Mongolian children, socio-environmental conditions and sexual dimorphism, biological mortality bias, and new statistical techniques for describing inhomogeneity in the association of bivariate variables, and for detecting and visualizing extensive interactions among variables.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od.......266..433eacc7cae95ed79c92831b2e56327c