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Published year: 20144
Author: Toralf Kirsten4
Monitoring Motor Skills of Children and Adolescents in LIFE Child
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

Life Child is an epidemiological study running at the LIFE Research Center for Civilization Diseas-es (University of Leipzig) since 2011. It aims at monitoring the development in children and adolescents … by examining thousands of children in and around Leipzig. Of particular interest in this study are motor skills and physical activities of children between 6 and 18 years. There are multiple examinations including interviews, self-completed questionnaires and physical examinations (e.g., sport tests) to generate data describing the determined child as well her lifestyle and environment. The goal is to find causes for low to non physical activity and unincisive motor skills and capabilities since they are commonly attended with diseases, such as obesity and diabetes. As a first step in this direction, we analyzed data of specific sport tests, such as pushups, side steps and long jumps, according to the body mass index (BMI) of participants. We found that participants with high BMI achieve a similar number of pushups in early years like the normal BMI group, while in later years the pushup number of participants with normal BMI exceeds the pushup number of high BMI group. Surprisingly, the number of side steps is indifferent over age categories (6-18, yearly) between both groups. Conversely, the normal BMI group achieve higher distances through-out all age categories than the high BMI group. In future, we will associate these results with socio-economic and lifestyle indicators, e.g., interest in sport and physical activities of child and parents.

Authors: J. Lang, C. Warnatsch, M. Vogel, Toralf Kirsten, W. Kiess

Date Published: 17th Dec 2014

Publication Type: Not specified

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

Publication Type: 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

Publication Type: 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

Publication Type: Not specified

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