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2.
Nutrients ; 9(9)2017 Sep 06.
Article in English | MEDLINE | ID: mdl-28878175

ABSTRACT

Interventions targeting portion size and energy density of food and beverage products have been identified as a promising approach for obesity prevention. This study modelled the potential cost-effectiveness of: a package size cap on single-serve sugar sweetened beverages (SSBs) >375 mL ( package size cap ), and product reformulation to reduce energy content of packaged SSBs ( energy reduction ). The cost-effectiveness of each intervention was modelled for the 2010 Australia population using a multi-state life table Markov model with a lifetime time horizon. Long-term health outcomes were modelled from calculated changes in body mass index to their impact on Health-Adjusted Life Years (HALYs). Intervention costs were estimated from a limited societal perspective. Cost and health outcomes were discounted at 3%. Total intervention costs estimated in AUD 2010 were AUD 210 million. Both interventions resulted in reduced mean body weight ( package size cap : 0.12 kg; energy reduction : 0.23 kg); and HALYs gained ( package size cap : 73,883; energy reduction : 144,621). Cost offsets were estimated at AUD 750.8 million ( package size cap ) and AUD 1.4 billion ( energy reduction ). Cost-effectiveness analyses showed that both interventions were "dominant", and likely to result in long term cost savings and health benefits. A package size cap and kJ reduction of SSBs are likely to offer excellent "value for money" as obesity prevention measures in Australia.


Subject(s)
Beverages/economics , Caloric Restriction/economics , Dietary Sugars/economics , Energy Metabolism , Food Labeling/economics , Food Packaging/economics , Health Care Costs , Obesity/economics , Obesity/prevention & control , Portion Size/economics , Adolescent , Adult , Australia , Beverages/adverse effects , Body Mass Index , Child , Child, Preschool , Computer Simulation , Cost Savings , Cost-Benefit Analysis , Dietary Sugars/adverse effects , Female , Health Status , Humans , Male , Markov Chains , Models, Economic , Monte Carlo Method , Nutritive Value , Obesity/etiology , Obesity/physiopathology , Quality-Adjusted Life Years , Weight Loss , Young Adult
3.
Health Place ; 42: 19-29, 2016 11.
Article in English | MEDLINE | ID: mdl-27614063

ABSTRACT

Attributes of the built environment can positively influence physical activity of urban populations, which results in health and economic benefits. In this study, we derived scenarios from the literature for the association built environment-physical activity and used a mathematical model to translate improvements in physical activity to health-adjusted life years and health care costs. We modelled 28 scenarios representing a diverse range of built environment attributes including density, diversity of land use, availability of destinations, distance to transit, design and neighbourhood walkability. Our results indicated potential health gains in 24 of the 28 modelled built environment attributes. Health care cost savings due to prevented physical activity-related diseases ranged between A$1300 to A$105,355 per 100,000 adults per year. On the other hand, additional health care costs of prolonged life years attributable to improvements in physical activity were nearly 50% higher than the estimated health care costs savings. Our results give an indication of the potential health benefits of investing in physical activity-friendly built environments.


Subject(s)
Environment Design , Health Care Costs , Residence Characteristics , Walking , Australia , Computer Simulation , Cost-Benefit Analysis , Environment Design/economics , Exercise , Health Care Costs/statistics & numerical data , Health Status , Humans , New South Wales , Quality-Adjusted Life Years , Regression Analysis , Urban Population , Walking/statistics & numerical data
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