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LIFE Child

Overview
Description:

LIFE Child wants to find out how environmental factors and lifestyles can affect the health of children and adolescents. The aim of the study is to examine civilization diseases such as allergies, obesity, diabetes, cardiovascular diseases in more detail. Furthermore, the study also focuses on healthy mental and physical development from the infant to the young adult. The team of the LIFE Child study around Prof. Dr. med. Wieland Kiess would like to examine and question about 5,000 subjects aged 0 to 18 years as well as 2,000 pregnant women in the LIFE Child Ambulance for many years.

Programme: This Project is not associated with a Programme

LHA-ID: 7Q0CQXJ61X-5

Public web page: http://www.life-child.de/

Human Diseases: Disease of anatomical entity, Disease of mental health, Disease of metabolism

Leipzig Health Atlas PALs: No PALs for this Project

Project Coordinators: No Project coordinators for this Project

Project start date: 1st Jan 2009

Project Hierarchy

Related items

Longitudinal anthropometry of children and adolescents using 3D-body scanning.
LIFE- Leipzig Research Center for Civilization Diseases, LIFE Child

Abstract (Expand)

3D-body scanning anthropometry is a suitable method for characterization of physiological development of children and adolescents, and for understanding onset and progression of disorders like overweight … and obesity. Here we present a novel body typing approach to describe and to interpret longitudinal 3D-body scanning data of more than 800 children and adolescents measured in up to four follow-ups in intervals of 1 year, referring to an age range between 6 and 18 years. We analyzed transitions between body types assigned to lower-, normal- and overweight participants upon development of children and adolescents. We found a virtually parallel development of the body types with only a few transitions between them. Body types of children and adolescents tend to conserve their weight category. 3D body scanning anthropometry in combination with body typing constitutes a novel option to investigate onset and progression of obesity in children.

Authors: Henry Löffler-Wirth, M. Vogel, Toralf Kirsten, F. Glock, T. Poulain, A. Korner, Markus Löffler, W. Kiess, Hans Binder

Date Published: 14th Sep 2018

Journal: PLoS One

Human Diseases: obesity

Body typing of children and adolescents using 3D-body scanning.
LIFE Child

Abstract (Expand)

Three-dimensional (3D-) body scanning of children and adolescents allows the detailed study of physiological development in terms of anthropometrical alterations which potentially provide early onset … markers for obesity. Here, we present a systematic analysis of body scanning data of 2,700 urban children and adolescents in the age range between 5 and 18 years with the special aim to stratify the participants into distinct body shape types and to describe their change upon development. In a first step, we extracted a set of eight representative meta-measures from the data. Each of them collects a related group of anthropometrical features and changes specifically upon aging. In a second step we defined seven body types by clustering the meta-measures of all participants. These body types describe the body shapes in terms of three weight (lower, normal and overweight) and three age (young, medium and older) categories. For younger children (age of 5-10 years) we found a common 'early childhood body shape' which splits into three weight-dependent types for older children, with one or two years delay for boys. Our study shows that the concept of body types provides a reliable option for the anthropometric characterization of developing and aging populations.

Authors: Henry Löffler-Wirth, M. Vogel, Toralf Kirsten, F. Glock, T. Poulain, A. Korner, Markus Löffler, W. Kiess, Hans Binder

Date Published: 21st Oct 2017

Journal: PLoS One

Human Diseases: obesity

Soziodemographische Merkmale und soziökonomischer Status der Teilnehmer in der LIFE Child Kohorte im nationalen Vergleich
LIFE Child

Abstract (Expand)

Soziodemographische Merkmale gelten in den Humanwissenschaften als globale Einflussfaktoren in fast allen Forschungsgebieten und bilden das Basiselement von Kohortenstudien. Darüber hinaus wurde in … vielen Bereichen ein direkter Zusammenhang zwischen sozialen Faktoren und Gesundheit nachgewiesen. Insbesondere im Kindes- und Jugendalter nimmt der sozioökonomische Status einer Familie entscheidenden Einfluss auf die physische sowie mentale Entwicklung. Derartige und weitere Forschungsfragen stehen im Blickpunkt des Projektes LIFE Child.

Authors: L. Meißner, C. Bucher, M. Vogel, Toralf Kirsten, S. Nerlich, U. Igel, W. Kiess, A. Hiemisch

Date Published: 17th Dec 2014

Journal: 2014-Leipziger-Research-Festival

Human Diseases: Not specified

Data Quality Control and Data Analysis of Body-Scanner Measurement Values in Children and Adolescents
LIFE Child

Abstract (Expand)

Introduction LIFE child as a part of the 'Leipzig Research Centre for Civilization Diseases' is a longitudinal cohort study aiming, inter alia, at monitoring normal development in children and … adolescents from fetal life to adulthood. As an important part of the study, anthropometric dimensions are measured via classic methods, e.g. stadiometer or tape measure (ca. 15 items), but also via 3D body scanner technology (ca. 150 items). Because of missing standards data quality control and analysis of the latter one is a particular challenge. Methods We address the problem of absent reference values by using the data itself as a reference sample. Applying the LMS-method using the VGAM/GAMLSS packages [XXX] on a reference sample which is large enough results in age and gender corrected standard deviation scores (SDS) respectively percentile curves. A combination of variable clustering and clustering of values using these SDS is applied to the detect groups of dependend variables and peculiar cases respectively. Results In LIFE child the current reference sample consists of around 4000 scans of 1700 children. The age dependend l, m, and s values for each item are generated by dedicated R-routines and stored in a relational database system. The transformation algorithm by Cole is implemented as database function and dynamically applied on all associated raw data. Conspiciuous values can be detected using the SDS itself or the SDS in comparison with the belonging variable cluster and/or taking into account the follow-up data of the respective participant. These values can be reported and visualized using automated routines.

Authors: M. Vogel, A.L. Fischer, C. Bucher, W. Kiess, Toralf Kirsten

Date Published: 1st Nov 2014

Journal: 2014-Leipziger-Research-Festival

Human Diseases: Not specified

Spatial Analysis of Anthropometric and Lifestyle Data for Children and Adolescents
LIFE Child

Abstract (Expand)

LIFE Child is an epidemiological cohort study at the Leipzig Research Center for Civilization Dis-eases (University of Leipzig). A main goal of LIFE Child is to study the influence of environment and … lifestyle factors to the development of children and adolescent in and near Leipzig. In particu-lar, we search for predominant aspects in the development of children with obesity. Typically, data is analyzed by different statistical methods and approaches to find (perhaps multi-variate) pre-dominant markers. Additionally, we map selected data to geographical maps to study their spatial distribution over urban districts of Leipzig, on the one hand. This allows to compara-tively analyze anthropometric measurements, such as age- and gender-corrected height, weight, and body mass index, together with further participant-related data including social indicators, e.g., in-come, education, socio economic indexes and lifestyle data, to distinguish city districts with a high correlation to those with low or no correlation. On the other hand, we associate anthropometric measurements with publicly available data, such as official statistics including district-specific un-employment rates and inhabitant densities by taking the participant's place of living into account. We developed a spatial analysis pipeline of anthropometric and lifestyle data according to Leipzig city districts. While cohort and publicly available data is managed by a database system, the analysis pipeline is implemented by dedicated R scripts. The sample is with more than 2,500 children large enough for first analyses. … Our first results show that unemployment of parents could be a factor for obesity of children especially in districts with low social index.

Authors: M. Vogel, A. Kiel, M. Rühle, Toralf Kirsten, M. Geserick, R. Gausche, G. Grande, D. Molis, U. Igel, S. Alvanides, W. Kiess

Date Published: 1st Nov 2014

Journal: 2014-Leipziger-Research-Festival

Human Diseases: Not specified

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