Identifying the views of adolescents in five European countries on the drivers of obesity using group model building

Abstract Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention...

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Published inEuropean journal of public health Vol. 31; no. 2; pp. 391 - 396
Main Authors Savona, Natalie, Macauley, Talia, Aguiar, Anaely, Banik, Anna, Boberska, Monika, Brock, Jessica, Brown, Andrew, Hayward, Joshua, Holbæk, Helene, Rito, Ana Isabel, Mendes, Sofia, Vaaheim, Fredrik, van Houten, Marloes, Veltkamp, Gerlieke, Allender, Steven, Rutter, Harry, Knai, Cecile
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.04.2021
Subjects
Adolescent
Adolescents
Body image
Care and treatment
Demographic aspects
Diet
Digital media
Europe - epidemiology
Feedback loops
Health aspects
Humans
Identification methods
Mass media images
Mental disorders
Mental health
Motivation
Netherlands
Norway
Obesity
Obesity - prevention & control
Obesity in adolescence
Obesity/Physical activity
Physical activity
Physical fitness
Poland
Portugal
Prevention
Psychological aspects
Public health
Schools
Self-perception in adolescence
Social media
Social networks
Teenagers
Young adults
Poland
Netherlands
Norway
Portugal
Europe
Online AccessGet full text
ISSN1101-1262
1464-360X
1464-360X
DOI10.1093/eurpub/ckaa251

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Abstract Abstract Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people’s perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project. Methods We used GMB with four groups of 16–18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol. Results Two hundred and fifty-seven participants, aged 16–18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise. Conclusions GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.
AbstractList Abstract Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people’s perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project. Methods We used GMB with four groups of 16–18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol. Results Two hundred and fifty-seven participants, aged 16–18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise. Conclusions GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.
To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people's perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project.BACKGROUNDTo make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people's perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project.We used GMB with four groups of 16-18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol.METHODSWe used GMB with four groups of 16-18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol.Two hundred and fifty-seven participants, aged 16-18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise.RESULTSTwo hundred and fifty-seven participants, aged 16-18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise.GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.CONCLUSIONSGMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.
Background: To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people's perceptions of the drivers of adolescent obesity in five European countries, as part of the EU- funded Co-Create project. Methods: We used GMB with four groups of 16-18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol. Results: Two hundred and fifty-seven participants, aged 16-18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise. Conclusions: GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.
To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level drivers of diet and physical activity. This article describes the use of a systems framework to develop obesity prevention policies with adolescents. The aim of this research was to use the group model building (GMB) method to identify young people's perceptions of the drivers of adolescent obesity in five European countries, as part of the EU-funded Co-Create project. We used GMB with four groups of 16-18-year-olds in schools in each of the five European countries (The Netherlands, Norway, Poland, Portugal and the UK) to create causal loop diagrams (CLDs) representing their perceptions of the drivers of adolescent obesity. The maps were then merged into one, using a new protocol. Two hundred and fifty-seven participants, aged 16-18 years, engaged in 20 separate system mapping groups, each of which generated 1 CLD. The findings were largely congruent between the countries. Three feedback loops in the merged diagram particularly stand out: commercial drivers of unhealthy diets; mental health and unhealthy diets; social media use, body image and motivation to exercise. GMB provides a novel way of eliciting from young people the system-based drivers of obesity that are relevant to them. Mental health issues, social media use and commercial practices were considered by the young people to be key drivers of adolescent obesity, subjects that have thus far had little or no coverage in research and policy.
Audience Academic
Author Knai, Cecile
Rito, Ana Isabel
Aguiar, Anaely
Vaaheim, Fredrik
Macauley, Talia
Savona, Natalie
Brown, Andrew
Boberska, Monika
van Houten, Marloes
Rutter, Harry
Banik, Anna
Hayward, Joshua
Veltkamp, Gerlieke
Brock, Jessica
Mendes, Sofia
Allender, Steven
Holbæk, Helene
AuthorAffiliation 9 Department of Sociology, University of Amsterdam , Amsterdam, The Netherlands
7 Centre for Studies and Research on Social Dynamics and Health—CEIDSS , Lisbon, Lisbon, Portugal
6 Department of Nutrition, University of Oslo , Oslo, Norway
10 Department of Social and Policy Sciences, University of Bath , Bath, UK
2 Department of Geography, System Dynamics Group, University of Bergen , Bergen, Norway
1 Health Services Research and Policy, London School of Hygiene and Tropical Medicine , London, UK
3 CARE-BEH Center for Applied Research on Health Behavior and Health, SWPS University of Social Sciences and Humanities , Wroclaw, Poland
4 School of Health Sciences, City University of London , London, UK
8 Press , Oslo, Norway
5 Global Obesity Centre, Institute for Health Transformation, Deakin Unive rsity , Geelong, Victoria, and Au stralia
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  organization: Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33608719$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association. 2021
The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association.
COPYRIGHT 2021 Oxford University Press
info:eu-repo/semantics/openAccess
Copyright_xml – notice: The Author(s) 2021. Published by Oxford University Press on behalf of the European Public Health Association. 2021
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Snippet Abstract Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors,...
To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond individual-level...
Background: To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond...
Background To make effective progress towards a global reduction in obesity prevalence, there needs to be a focus on broader structural factors, beyond...
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SubjectTerms Adolescent
Adolescents
Body image
Care and treatment
Demographic aspects
Diet
Digital media
Europe - epidemiology
Feedback loops
Health aspects
Humans
Identification methods
Mass media images
Mental disorders
Mental health
Motivation
Netherlands
Norway
Obesity
Obesity - prevention & control
Obesity in adolescence
Obesity/Physical activity
Physical activity
Physical fitness
Poland
Portugal
Prevention
Psychological aspects
Public health
Schools
Self-perception in adolescence
Social media
Social networks
Teenagers
Young adults
Title Identifying the views of adolescents in five European countries on the drivers of obesity using group model building
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Volume 31
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