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Applications of systems modelling in obesity research
1Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Summary
Systems modeling offers innovative approaches to understanding obesity, a complex issue influenced by many factors. Further research is needed to address limitations and fully utilize its potential in obesity research and interventions.
Area of Science:
- Public Health
- Systems Science
- Obesity Research
Background:
- Obesity is a complex problem influenced by diverse factors including policy, social, economic, and biological elements.
- Interrelationships among these factors are complex, non-linear, and dynamic.
- Systems modeling presents an innovative approach to advance obesity research.
Purpose of the Study:
- To examine the applications of systems modeling in obesity research from 2000 to 2017.
- To analyze how systems models were developed and utilized in obesity studies.
- To identify research gaps in the application of systems modeling for obesity.
Main Methods:
- Focused on two primary systems modeling approaches: system dynamics modeling and agent-based modeling.
- Reviewed studies published between 2000 and 2017.
- Analyzed research topics including energy balance behaviors, population dynamics, policy simulations, and environmental/social influences on obesity.
Main Results:
- A growing body of systems modeling research in obesity was observed over the past two decades.
- Studies covered a range of topics from micro-level behaviors to macro-level influences.
- Applications included analysis of energy balance, population dynamics, policy effects, and environmental/social factors.
Conclusions:
- Systems analysis in public health, including obesity research, is still in its early stages.
- Current limitations include model validity, mixed findings, and challenges in guiding interventions.
- Addressing theoretical and modeling practice challenges is crucial for realizing the full potential of systems modeling in future obesity research and interventions.
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