A Scoping Review of Microsimulation Models on Obesity-Related Policy Evaluation.

Area of Science:

• Public Health
• Health Economics
• Epidemiology

Background:

• Obesity presents a significant global public health and economic challenge.
• Nutrition policies are implemented worldwide to improve diet quality and reduce obesity.
• Microsimulation modeling is crucial for evaluating long-term and distributional policy impacts due to limitations of traditional methods.

Purpose of the Study:

• To conduct a scoping review on the application of microsimulation modeling to obesity-related nutrition policies.
• To examine model structure, behavioral parameterization, and integration of economic and equity analyses in these studies.

Main Methods:

• A systematic literature search was conducted across five databases following PRISMA guidelines.
• Data extraction focused on policy mechanisms, model design, parameterization, and equity analysis.
• Study quality was assessed using a customized checklist adapted from CHEERS and NIH tools.

Main Results:

• Twenty-nine studies met the inclusion criteria, predominantly set in the United States.
• Most studies utilized dynamic, stochastic, individual-level microsimulation models with varied behavioral assumptions and calibration.
• While outcomes were often stratified by socioeconomic or demographic groups, formal quantitative equity metrics were rarely employed.

Conclusions:

• Microsimulation modeling offers valuable insights into the long-term health, economic, and distributional effects of nutrition policies.
• Recommendations include strengthening methodological transparency and standardizing equity assessment.
• Expanding applications beyond high-income settings is essential for enhancing the comparability and policy relevance of simulation-based research.