Associations Between Migration Background and Media and Information Behavior in Primary School Children

Laura Dauben; Katharina S. Weber; Lisa Nießen; Marlo Verket; Olaf Spörkel; Klaus Strassburger; Michael Roden; Peter Kronsbein; Karsten Müssig

doi:10.1055/a-1114-5871

Experimental and Clinical Endocrinology & Diabetes, Table of Contents

Exp Clin Endocrinol Diabetes 2021; 129(11): 813-820
DOI: 10.1055/a-1114-5871

Article

Associations Between Migration Background and Media and Information Behavior in Primary School Children

Laura Dauben

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

,

Katharina S. Weber

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

,

Lisa Nießen

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

³Faculty of Food, Nutrition and Hospitality Sciences, Niederrhein University of Applied Sciences, Mönchengladbach, Germany

,

Marlo Verket

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

,

Olaf Spörkel

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

,

Klaus Strassburger

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

⁴Institute for Biometrics and Epidemiology, German Diabetes Center at Heinrich Heine University, Leibniz Institute for Diabetes Research, Düsseldorf, Germany

,

Michael Roden

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

⁵Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany

,

Peter Kronsbein

³Faculty of Food, Nutrition and Hospitality Sciences, Niederrhein University of Applied Sciences, Mönchengladbach, Germany

,

Karsten Müssig

¹Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany

²German Center for Diabetes Research (DZD), München-Neuherberg, Germany

⁵Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany

⁶Department of Internal Medicine, Niels-Stensen-Kliniken, Franziskus-Hospital Harderberg, Georgsmarienhütte, Germany

› Author Affiliations

Abstract

Background Children with migration background and from low socio-economic status are at higher risk for overweight. To determine appropriate media channels to possibly reach children with targeted health information, it has to be considered that the media and information behavior of children has changed during the last decades.

Objective We examined the media and information behavior of children in low socio-economic districts, focusing on those with migration background.

Methods Fourteen 3^rd grade classes (n=250 children, 68.0% with migration background) completed a questionnaire regarding their media consumption, which was based on existing validated surveys.

Results ≥ 50% of the children watched TV and around 40% used both mobile phones and computers/tablets/internet for ≥1 h/day. Books were the most popular analogue media (61.6% of children), whereas magazines/newspapers and radio (18.4 and 16.0% of children, respectively) were used less frequently. Furthermore, they regularly used internet, TV and their teachers (63.0, 48.8 and 44.8% of children, respectively) as information source. Especially children with compared to those without migration background less likely used the radio (P=0.0002) and their family as information source (P=0.0017).

Conclusions Children attending 3^rd grade class, especially with migration background, can be addressed through digital media rather than the radio. This may help to sustainably support children outside school with targeted health information.

Key words

media - information behavior - children - prevention - migration background

Full Text

References

References
1 Obesity: preventing and managing the global epidemic Report of a WHO consultation. World Health Organization technical report series 2000; 894: 1-253
2 Guh DP, Zhang W, Bansback N. et al. The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis. BMC Public Health 2009; 9: 88
3 Schienkiewitz A, Brettschneider AK, Damerow S. et al. Overweight and obesity among children and adolescents in Germany. Results of the cross-sectional KiGGS Wave 2 study and trends. Journal of Health Monitoring 2018; 3: 16-23
4 Lampert T, Hoebel J, Kuntz B. et al. Socioeconomic status and subjective social status measurement in KiGGS Wave 2. Journal of Health Monitoring 2018; 3: 108-125
5 Puder JJ, Marques-Vidal P, Schindler C. et al. Effect of multidimensional lifestyle intervention on fitness and adiposity in predominantly migrant preschool children (Ballabeina): Cluster randomised controlled trial. BMJ 2011; 343: d6195
6 Brown EC, Buchan DS, Baker JS. et al. A systematised Review of primary school whole class child obesity interventions: Effectiveness, characteristics, and strategies. Biomed Res Int 2016; 2016: 4902714
7 Kelishadi R, Azizi-Soleiman F. Controlling childhood obesity: A systematic review on strategies and challenges. J Res Med Sci 2014; 19: 993-1008
8 Weber KS, Spörkel O, Mertens M. et al. Positive Effects of Promoting Physical Activity and Balanced Diets in a Primary School Setting with a High Proportion of Migrant School Children. Exp Clin Endocrinol Diabetes 2017; 125: 554-562
9 Weber KS, Eitner J, Dauben L. et al. Positive Effects of Practical Nutrition Lessons in a Primary School Setting with a High Proportion of Migrant School Children. Exp Clin Endocrinol Diabetes. 2020 128. 111-118
10 Ketelhut SR, Ketelhut S, Riedel S. et al. Auswirkung einer moderaten Intervallbelastung auf die Herzfrequenzvariabilität bei Grundschulkindern. Dtsch Z Sportmed 2017; 68: 269-274
11 Medienpädagogischer Forschungsverbund Südwest (mpfs). KIM-Studie 2018 Kindheit, Internet, Medien. Basisuntersuchung zum Medienumgang 6- bis 13-Jähriger in Deutschland. Stuttgart. 2019
12 Rideout VJ, Foehr UG, Roberts DF. Generation M² - Media in the Lives of 8- to 18-Years-Olds. A Kaiser Family Foundation Study. Menlo Park. 2010
13 Kaiser-Jovy S, Scheu A, Greier K. Media use, sports activities, and motor fitness in childhood and adolescence. Wien Klin Wochenschr 2017; 129: 464-471
14 Lampert T, Sygusch R, Schlack R. Nutzung elektronischer Medien im Jugendalter. Ergebnisse des Kinder- und Jugendgesundheitssurveys (KiGGS). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2007; 50: 643-652
15 Manz K, Schlack R, Poethko-Müller C. et al. Körperlich-sportliche Aktivität und Nutzung elektronischer Medien im Kindes- und Jugendalter. Bundesgesundheitsbl 2014; 57: 840-848
16 Pearson N, Biddle SJH. Sedentary Behavior and Dietary Intake in Children, Adolescents, and Adults – A Systematic Review. Am J Prev Med 2011; 41: 178-188
17 Kosinska E. Erstellung einer Kinderkochbroschüre im Rahmen des Projektes „SMS. Sei schlau. Mach mit. Sei fit.“. Semesterprojekt II. Hochschule Niederrhein. Fachbereich Oecotrophologie. Mönchengladbach. 2016
18 Stemper T, Bachmann C, Diehlmann K. et al. ReCHECK! CHECK! Testmanual 2017 – Kurzfassung. [Internet]. 2017 [cited 2020 Jan 06]
19 Staatskanzlei des Saarlandes. Fragebogen zur Mediennutzung. (n.d.). Retrieved from https://www.saarland.de/dokumente/thema_bildung/Fragebogen_Mediennutzung.pdf
20 infas Institut für angewandte Sozialwissenschaft GmbH & Deutsches Jugendinstitut Wie wachsen Kinder auf?. Mündlicher Fragebogen für die 9- bis 10-jährigen Kinder. 2. Welle. Bonn. 2004
21 Senatsverwaltung für Bildung, Jugend und Wissenschaft Fragebogen zur Selbsteinschätzung in der Grundschule. Berlin. 2010
22 Deutsches Jugendinstitut Wie wachsen Kinder auf? – Digitale Kompetenz im Kindesalter. Mündlicher Fragebogen für Kinder. München: 2007
23 Medienpädagogischer Forschungsverbund Südwest. KIM-Studie 2012 Kinder + Medien. Computer + Internet. Basisuntersuchung zum Medienumgang 6- bis 13-Jähriger in Deutschland. Stuttgart. 2013
24 Medienpädagogischer Forschungsverbund Südwest. KIM-Studie 2010 Kinder + Medien. Computer + Internet. Basisuntersuchung zum Medienumgang 6- bis 13-Jähriger in Deutschland. Stuttgart. 2011
25 Egmont Ehapa Media GmbH Kids Verbraucher Analyse 2015: Die Markt-Media-Studie für junge Zielgruppen. Berlin. 2015
26 Trebbe J, Heft A, Weiß HJ. Mediennutzung junger Menschen mit Migrationshintergrund. Düsseldorf. 2010
27 Grosch M, Gidion G. Mediennutzungsgewohnheiten im Wandel. Ergebnisse einer Befragung zur studiumsbezogenen Mediennutzung. Karlsruhe. 2011
28 Likert R. A technique for the measurement of attitudes. Arch Psychol 1932; 22: 1-55
29 Education Group GmbH. Medienverhalten bei Kindern – Zielgruppe Kinder. 2016, Retrieved from https://www.edugroup.at/fileadmin/DAM/Innovation/Forschung/Dateien/Charts_Kinder_2016.pdf
30 Medienpädagogischer Forschungsverbund Südwest (mpfs). KIM-Studie 2016 Kindheit, Internet, Medien. Basisuntersuchung zum Medienumgang 6- bis 13-Jähriger in Deutschland. Stuttgart. 2017
31 Feil C, Gieger C, Grobbin A. Schlussbericht: Informationsverhalten von Kindern im Internet – eine empirische Studie zur Nutzung von Suchmaschinen. Deutsches Jugendinstitut, München. 2013
32 Müthing K, Razakowski J, Gottschling M. LBS-Kinderbarometer Deutschland 2018. Stimmungen, Trends und Meinungen von Kindern aus Deutschland. Dortmund. 2018
33 Sisson SB, Church TS, Martin CK. et al. Profiles of sedentary behavior in children and adolescents: The US national health and nutrition examination survey, 2001-2006. Int J Pediatr Obes 2009; 4: 353-359
34 Espinosa-Fernández L, Miró E, MóCarmen Cano. et al. Age-related changes and gender differences in time estimation. Acta Psychol 2003; 112: 221-232

Supplementary Material

Supplementary Material