Changing the future of obesity: science, policy, and action
This report examines the escalating global obesity epidemic, the use of quantitative models to understand its dynamics, and the implementation of cost-effective policies to prevent and control obesity.
(Generated with the help of GPT-4)
Quick Facts | |
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Report location: | source |
Language: | English |
Publisher: |
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Authors: | Boyd A Swinburn, David Levy, Diane T Finegood, Marjory L Moodie, Patricia L Mabry, Rob Carter, Terry Huang, Tim Marsh, Steven L Gortmaker, Steven L Gortmaker |
Geographic focus: | Global |
Methods
The research employed quantitative modeling to analyze the dynamics of the obesity epidemic, forecast its impact on population health and economics, and evaluate the effectiveness and cost-effectiveness of various interventions and policies.
(Generated with the help of GPT-4)
Key Insights
The report analyzes the global obesity crisis, its four-decade rise, and the limited efforts to prevent it. It highlights the role of quantitative models in understanding obesity dynamics and forecasting its impact on health and economics. The study emphasizes the need for cost-effective government policies and coordinated actions across sectors to address the epidemic, improve food and built environments, and increase prevention program funding.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: English publication language | Global geographic scope | cost-effectiveness | economic impact | economics | energy gap models | evaluations | food | forecasts | health | health impact | intervention effectiveness | obesity | obesity epidemic | obesity prevention | policy implementation | population obesity monitoring | prevention programs | quantitative models | systems science