Childhood Obesity Policy Mixes and Prevalence Trajectories in Eight OECD Countries: A Structured Comparative Analysis Using Open-Access Data

Published on 12 March 2024 at 10:41

Policy Analysis 

Background: Childhood obesity prevalence and policy responses vary markedly across high-income nations, yet structured cross-country comparisons using only freely available data are rare. This review asks: What combinations of prevention policies characterise OECD countries with divergent childhood obesity trajectories, and what does the published economic evidence suggest about their potential returns?

Methods: We conducted a structured comparative analysis of eight OECD countries, selected using transparent prevalence-based criteria: four with the lowest childhood overweight/obesity prevalence (ages 5–19) in 2022 (Japan, South Korea, Netherlands, Denmark) and four with the highest prevalence that have implemented at least one major national obesity prevention policy (United Kingdom, Chile, Mexico, United States). Prevalence trends (2000–2022) were extracted from the NCD Risk Factor Collaboration open database. National policy profiles were compiled from OECD Reviews of Public Health, WHO COSI reports, and peer-reviewed evaluations, and categorised across five domains (fiscal, school-based, food labelling, marketing regulation, physical activity). Published economic evaluations were identified and synthesised narratively.

Results: The four low-prevalence countries (13.5%–18.1%) shared a pattern of early, sustained investment in school-based nutrition, daily physical activity, and active-transport infrastructure, with childhood obesity rates remaining below 20% throughout. The high-prevalence group (29.3%–46.4%) introduced comprehensive regulatory packages more recently—including sugar-sweetened beverage taxes, front-of-pack warning labels, and advertising restrictions—yet their obesity rates continued to rise or plateaued only in the most recent period. The UK’s Soft Drinks Industry Levy was associated with a flattening of obesity prevalence in primary school children, though prevalence had already been stabilising in some age groups before the levy was implemented. Chile’s labelling law reduced sugary drink purchases by approximately 25% but overall prevalence continued to rise. Mexico’s SSB tax lowered consumption in lower-income households without reversing the upward prevalence trend. Published economic simulations, where available, consistently project long-term net savings from multi-component interventions, though all estimates carry substantial modelling uncertainty.

Conclusions: No single policy type differentiates low- from high-prevalence countries. Low-prevalence nations typically began preventive efforts earlier and embedded them deeply into education and urban systems over decades. The findings support a long-term, systems-wide strategy rather than reliance on any isolated measure. This synthesis demonstrates that open-access OECD and WHO data can robustly support international policy comparisons, though causal conclusions remain limited by the ecological design.

 


References

  1. OECD. The Heavy Burden of Obesity: The Economics of Prevention. OECD Health Policy Studies. Paris: OECD Publishing; 2019. doi:10.1787/67450d67-en.

  2. OECD. Health at a Glance 2023: OECD Indicators. Paris: OECD Publishing; 2023. doi:10.1787/7a7afb35-en.

  3. Colchero MA, Rivera-Dommarco J, Popkin BM, Ng SW. In Mexico, evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax. Health Aff (Millwood). 2017;36(3):564–571. doi:10.1377/hlthaff.2016.1231.

  4. Taillie LS, Reyes M, Colchero MA, Popkin B, Corvalán C. An evaluation of Chile’s Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study. PLoS Med. 2020;17(2):e1003015. doi:10.1371/journal.pmed.1003015.

  5. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet. 2024;403(10431):1027–1050. doi:10.1016/S0140-6736(23)02750-2.

  6. WHO Regional Office for Europe. WHO European Childhood Obesity Surveillance Initiative (COSI): Report on the Fourth Round of Data Collection (2015–2017). Copenhagen: WHO Europe; 2022. Available at: https://www.who.int/europe/initiatives/who-european-childhood-obesity-surveillance-initiative-cosi

  7. NHS Digital. *National Child Measurement Programme, England, 2022/23 School Year*. Published 19 October 2023. Available at: https://digital.nhs.uk/data-and-information/publications/statistical/national-child-measurement-programme/2022-23-school-year

  8. Rogers NT, Cummins S, Forde H, Jones CP, Mytton O, Rutter H, et al. Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: An interrupted time series analysis of surveillance data. PLoS Med. 2023;20(1):e1004160. doi:10.1371/journal.pmed.1004160.

  9. Tanaka N, Miyoshi M. School lunch program for health promotion among children in Japan. Asia Pac J Clin Nutr. 2012;21(1):155–158. PMID: 22374573.

  10. van der Kleij RMJJ, Crone MR, Paulussen TGWM, van de Gaar VM, Reis R. A stitch in time saves nine? A repeated cross-sectional case study on the implementation of the intersectoral community approach Youth At a Healthy Weight. BMC Public Health. 2015;15:1032. doi:10.1186/s12889-015-2309-8.

  11. Public Health England. Sugar reduction: Report on progress between 2015 and 2019. London: PHE; 2020. Available at: https://www.gov.uk/government/publications/sugar-reduction-report-on-progress-between-2015-and-2019

  12. Corvalán C, Reyes M, Garmendia ML, Uauy R. Structural responses to the obesity and non-communicable diseases epidemic: Update on the Chilean law of food labelling and advertising. Obes Rev. 2019;20(3):367–374. doi:10.1111/obr.12802.

  13. Barquera S, White M. Treating obesity seriously in Mexico: realizing, much too late, action must be immediate. Obesity (Silver Spring). 2018;26(10):1530–1531. doi:10.1002/oby.22296.

  14. Sánchez-Romero LM, Penko J, Coxson PG, Fernández A, Mason A, Moran AE, et al. Projected impact of Mexico’s sugar-sweetened beverage tax policy on diabetes and cardiovascular disease: a modeling study. PLoS Med. 2016;13(11):e1002158. doi:10.1371/journal.pmed.1002158.

  15. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, et al. Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Aff (Millwood). 2015;34(11):1932–1939. doi:10.1377/hlthaff.2015.0631.

  16. World Cancer Research Fund International. NOURISHING framework. Available at: https://www.wcrf.org/policy/policy-databases/nourishing-framework/ [Accessed 2024].


Add comment

Comments

There are no comments yet.