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Predicting obesity reduction after implementing warning labels in Mexico: A modeling study.

Ana Basto-Abreu1, Rossana Torres-Alvarez1, Francisco Reyes-Sánchez1

  • 1Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.

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Area of Science:

  • Public Health Nutrition
  • Health Economics
  • Obesity Prevention

Background:

  • Mexico implemented warning labels on high-calorie, sugar, fat, and sodium processed foods and beverages in 2019.
  • The law targets non-alcoholic beverages and packaged foods exceeding specific thresholds.

Purpose of the Study:

  • To estimate the potential reduction in obesity prevalence and associated costs in Mexico over five years due to warning labels.
  • Focus on adults under 60 years of age.

Main Methods:

  • Utilized 2016 National Health and Nutrition Survey data for baseline consumption.
  • Applied an experimental study's findings for caloric intake reduction estimates (10.5% for beverages, 3.0% for snacks).
  • Employed a dynamic model to predict weight changes, obesity prevalence, and costs, referencing Mexican Ministry of Health reports.

Main Results:

  • Estimated a mean daily caloric reduction of 36.8 kcal per person.
  • Projected a 4.98 percentage point decrease in obesity prevalence (14.7% reduction) within five years.
  • Anticipated 1.3 million fewer obesity cases and US$1.8 billion in cost savings.

Conclusions:

  • Warning labels show potential for significant obesity reduction and cost savings in Mexico.
  • Mexico's policy aligns with interventions in Chile, Peru, and Uruguay, offering a model for other nations.
  • Further observational studies are recommended to validate these findings.