Identifying the views of adolescents in five European countries on the drivers of obesity using group model building
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In CO-CREATE systems mapping workshops with 16-18-year-olds in six countries, social media, and in particular influencers and celebrities, was consistently reported as negatively impacting mental health, which in turn encouraged excessive and compulsive dietary intakes and reduced motivation to exercise and eat healthily.
“Social media, and in particular influencers and celebrities, was consistently reported as negatively impacting mental health -specifically body image, self-esteem, stress, personal relationships and loneliness, anxiety, and depressive symptoms, which in turn encouraged excessive and compulsive dietary intakes and reduced motivation to exercise and eat healthily.”
From Associations between social media, adolescent mental health, and diet: A systematic review (2023) · cites this paper as [20]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(2000) · University of Maribor digital library (University of Maribor) · Cited by 9,354 · see citing works
The need for a complex systems model of evidence for public health
Rutter, H., Savona, N., Glonti, K., Bibby, J., Cummins, S., Finegood, D. T., Greaves, F., Harper, L., Hawe, P., Moore, L., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31267-9 · Cited by 1,260 · see citing works
Self-citationTheorising interventions as events in systems
Hawe, P., Shiell, A., & Riley, T. (2009) · American Journal of Community Psychology · doi:10.1007/s10464-009-9229-9 · Cited by 1,143 · see citing works
Learning from Evidence in a Complex World
Sterman, J. D. (2006) · American Journal of Public Health · doi:10.2105/ajph.2005.066043 · Cited by 976 · see citing works
Community Based System Dynamics
Hovmand, P. S. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8763-0 · Cited by 631 · see citing works
Implications of the Foresight Obesity System Map for Solutions to Childhood Obesity
Finegood, D. T., Merth, T. D. N., & Rutter, H. (2010) · Obesity · doi:10.1038/oby.2009.426 · Cited by 275 · see citing works
Self-citationA Community Based Systems Diagram of Obesity Causes
Allender, S. E., Owen, B., Kuhlberg, J., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129683 · Cited by 275 · see citing works
Self-citationPlanning for the worst: estimates of obesity and comorbidities in school‐age children in 2025
Lobstein, T., & Jackson‐Leach, R. (2016) · Pediatric Obesity · doi:10.1111/ijpo.12185 · Cited by 235 · see citing works
Interventions for preventing obesity in childhood. A systematic review
Campbell, K. J., Waters, E. B., O’Meara, S., & Summerbell, C. D. (2001) · Obesity Reviews · doi:10.1046/j.1467-789x.2001.00035.x · Cited by 223 · see citing works
Maps and models in system dynamics: a response to Coyle
Homer, J. B., & Oliva, R. (2001) · System Dynamics Review · doi:10.1002/sdr.224 · Cited by 161 · see citing works
BMI Trajectories Associated With Resolution of Elevated Youth BMI and Incident Adult Obesity
Buscot, M., Thomson, R. J., Juonala, M., Sabin, M. A., Burgner, D. P., Lehtimäki, T. J., Hutri‐Kähönen, N., Viikari, J. S. A., Jokinen, E. V., Tossavainen, P. H., et al. (2017) · PEDIATRICS · doi:10.1542/peds.2017-2003 · Cited by 106 · see citing works
Schaffernicht, M. F. G. (2010) · Systems Research and Behavioral Science · doi:10.1002/sres.1018 · Cited by 101 · see citing works
Systems Thinking in 49 Communities Related to Healthy Eating, Active Living, and Childhood Obesity
Brennan, L. K., Sabounchi, N. S., Kemner, A. L., et al. (2015) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000000248 · Cited by 99 · see citing works
Systems Science and Population Health
(2017) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780190492397.001.0001 · Cited by 66 · see citing works
Wicked problems and a ‘wicked’ solution
Walls, H. (2018) · Globalization and Health · doi:10.1186/s12992-018-0353-x · Cited by 63 · see citing works
Rutter, H., Bes‐Rastrollo, M., Henauw, S. D., et al. (2017) · Obesity Facts · doi:10.1159/000455960 · Cited by 47 · see citing works
Self-citationThe single most important intervention to tackle obesity…
Rutter, H. (2012) · International Journal of Public Health · doi:10.1007/s00038-012-0385-6 · Cited by 42 · see citing works
Self-citationMyszkowska-Ryciak, J., Harton, A., Lange, E., Laskowski, W., Wawrzyniak, A., Hamułka, J., & Gajewska, D. (2020) · Nutrients · doi:10.3390/nu12051323 · Cited by 28 · see citing works
Adelantado‐Renau, M., Jiménez‐Pavón, D., Beltran‐Valls, M. R., & Moliner‐Urdiales, D. (2019) · Pediatric Research · doi:10.1038/s41390-019-0285-z · Cited by 26 · see citing works
Body dissatisfaction and disordered eating attitudes among adolescents from Portugal and Spain
González, M. G., Penelo, E., Espinoza, P., et al. (2018) · Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [10]Finegood DT. The complex systems science of obesity. In: Cawley J, editor. Handbook of Social Science of Obesity. Oxford: OUP, 2011: 208– 36.
Cited by
Sorted by citations
Associations between social media, adolescent mental health, and diet: A systematic review
Blanchard, L., Conway‐Moore, K., Aguiar, A., Önal, F., Rutter, H., Helleve, A., Nwosu, E., Falcone, J., Savona, N., Boyland, E., et al. (2023) · Obesity Reviews · doi:10.1111/obr.13631 · Cited by 81 · see citing works
Self-citationHendricks, G., Savona, N., Aguiar, A., Alaba, O., Booley, S., Malczyk, S., Nwosu, E., Knai, C., Rutter, H., Klepp, K.-I., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042160 · Cited by 26 · see citing works
Self-citation
- Authors
- Savona, N., Macauley, T., Aguiar, A., Banik, A., Boberska, M., Brock, J., Brown, A., Hayward, J., Holbæk, H., Rito, A. I., Mendes, S., Vaaheim, F., van Houten, M., Veltkamp, G., Allender, S., Rutter, H., & Knai, C.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- University of Bergen (NO)
- Uniwersytet SWPS (PL)
- City, University of London (GB)
- Deakin University (AU)
- University of Oslo (NO)
- Centre for Studies and Research on Social Dynamics and Health—CEIDSS, Lisbon, Lisbon, Portugal
- Press, Oslo, Norway
- Department of Sociology, University of Amsterdam, Amsterdam, The Netherlands
- University of Amsterdam (NL)
- University of Bath (GB)
- Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
- Corresponding author
- Savona, Natalie
- ORCID
- Venue
- European Journal of Public Health
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-02-20
- Volume
- 31
- Issue
- 2
- Pages
- 391-396
- ISSN
- 1101-1262 (ISSN-L)
- 1464-360X
- PMC
- PMC8071593
- OpenAlex
- W3129623921
- Cited by
- 80
- References
- 20
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 20 · 2023: 20 · 2022: 10 · 2021: 2
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Public Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, cc-by)
- City Research Online (City University London) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc)
- Funders
- European Union’s Horizon 2020 research and innovation programme for Sustainable Food Security (774210)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Keywords
- adolescent obesity, group model building, causal loop diagrams, youth perspectives, obesity prevention policy, mental health, social media use, body image, feedback loops, systems thinking
- MeSH terms
- Adolescent, Europe, Humans, Netherlands, Norway, Obesity, Poland, Portugal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review