Title: Predictors of health-related quality of life in Bavarian preschool children
Authors: WEIGL KORBINIANHERR CAROLINEMEYER NICOLEOTTO CHRISTIANESTILIANAKIS NIKOLAOSBOLTE GABRIELENENNSTIEL-RATZEL UTAKOLB STEFANIE
Citation: GESUNDHEITSWESEN no. 80(S 01): S1-S4
Publisher: GEORG THIEME VERLAG KG
Publication Year: 2018
JRC N°: JRC92502
ISSN: 0941-3790
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC92502
DOI: 10.1055/s-0042-104117
Type: Articles in periodicals and books
Abstract: Background: Little data is available on health-related quality of life (HRQOL) of children in Germany at the age of school enrollment. Objective: The aims of this study were to investigate the HRQOL of children during school enrollment and to determine its predictors with a special focus on environmental factors. Methods: Analyzed data stem from the fifth survey of the Health-Monitoring-Units (GME) conducted in Bavaria. The survey collected data in 2010/2011. Parent-reported data on HRQOL using the KINDL-R(evised), the Strength and Difficulties Questionnaire (SDQ), socio-demographic characteristics and characteristics of the living environment were assessed. Results: The sample under analysis included a total of 3,744 children (45.9% female; mean age was 6.0; SD=0.4). Girls had significant higher values than boys in total HRQOL (83.7 vs. 82.4, p≤0.0001) and in all KINDL-R subscales except “psychological well-being” and “physical well-being”. For the latter, boys had significantly higher values than girls (84.1 vs. 82.9, p≤0.0103). Multiple linear regression analysis showed that parental annoyance with air or noise pollution, children’s possibility to safely play outside and the time a child is outside on weekdays in the summertime were significant predictors of total HRQOL measured by the KINDL-R. Obesity was not linked to HRQOL. Migration background of the child had a positive association with the subscales “family” and “friends”. Conclusions: Environmental factors are associated with HRQOL in children at the age of school enrollment but only partially of relevant use. Although they show significant associations, their explanatory power of the variability observed is rather limited.
JRC Directorate:Energy, Transport and Climate

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