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Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)

With rising burdens of obesity and chronic disease, the role of diet as a modifiable risk factor is of increasing public health interest. There is a growing body of evidence that low consumption of dairy products is associated with elevated risk of chronic metabolic and cardiovascular disorders. Sur...

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Autores principales: Doidge, James C., Segal, Leonie, Gospodarevskaya, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Nutrition 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3417836/
https://www.ncbi.nlm.nih.gov/pubmed/22833660
http://dx.doi.org/10.3945/jn.111.154161
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author Doidge, James C.
Segal, Leonie
Gospodarevskaya, Elena
author_facet Doidge, James C.
Segal, Leonie
Gospodarevskaya, Elena
author_sort Doidge, James C.
collection PubMed
description With rising burdens of obesity and chronic disease, the role of diet as a modifiable risk factor is of increasing public health interest. There is a growing body of evidence that low consumption of dairy products is associated with elevated risk of chronic metabolic and cardiovascular disorders. Surveys also suggest that dairy product consumption falls well below recommended targets for much of the population in many countries, including the USA, UK, and Australia. We reviewed the scientific literature on the health effects of dairy product consumption (both positive and negative) and used the best available evidence to estimate the direct healthcare expenditure and burden of disease [disability-adjusted life years (DALY)] attributable to low consumption of dairy products in Australia. We implemented a novel technique for estimating population attributable risk developed for application in nutrition and other areas in which exposure to risk is a continuous variable. We found that in the 2010–2011 financial year, AUD$2.0 billion (USD$2.1 billion, €1.6 billion, or ∼1.7% of direct healthcare expenditure) and the loss of 75,012 DALY were attributable to low dairy product consumption. In sensitivity analyses, varying core assumptions yielded corresponding estimates of AUD$1.1–3.8 billion (0.9–3.3%) and 38,299–151,061 DALY lost. The estimated healthcare cost attributable to low dairy product consumption is comparable with total spending on public health in Australia (AUD$2.0 billion in 2009–2010). These findings justify the development and evaluation of cost-effective interventions that use dairy products as a vector for reducing the costs of diet-related disease.
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spelling pubmed-34178362012-08-21 Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2) Doidge, James C. Segal, Leonie Gospodarevskaya, Elena J Nutr Methodology and Mathematical Modeling With rising burdens of obesity and chronic disease, the role of diet as a modifiable risk factor is of increasing public health interest. There is a growing body of evidence that low consumption of dairy products is associated with elevated risk of chronic metabolic and cardiovascular disorders. Surveys also suggest that dairy product consumption falls well below recommended targets for much of the population in many countries, including the USA, UK, and Australia. We reviewed the scientific literature on the health effects of dairy product consumption (both positive and negative) and used the best available evidence to estimate the direct healthcare expenditure and burden of disease [disability-adjusted life years (DALY)] attributable to low consumption of dairy products in Australia. We implemented a novel technique for estimating population attributable risk developed for application in nutrition and other areas in which exposure to risk is a continuous variable. We found that in the 2010–2011 financial year, AUD$2.0 billion (USD$2.1 billion, €1.6 billion, or ∼1.7% of direct healthcare expenditure) and the loss of 75,012 DALY were attributable to low dairy product consumption. In sensitivity analyses, varying core assumptions yielded corresponding estimates of AUD$1.1–3.8 billion (0.9–3.3%) and 38,299–151,061 DALY lost. The estimated healthcare cost attributable to low dairy product consumption is comparable with total spending on public health in Australia (AUD$2.0 billion in 2009–2010). These findings justify the development and evaluation of cost-effective interventions that use dairy products as a vector for reducing the costs of diet-related disease. American Society for Nutrition 2012-09 2012-07-25 /pmc/articles/PMC3417836/ /pubmed/22833660 http://dx.doi.org/10.3945/jn.111.154161 Text en © 2012 American Society for Nutrition http://creativecommons.org/licenses/by-nc/2.0/uk/ This is a free access article, distributed under terms (http://www.nutrition.org/publications/guidelines-and-policies/license/) which permit unrestricted non-commercial use, distribution, andreproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology and Mathematical Modeling
Doidge, James C.
Segal, Leonie
Gospodarevskaya, Elena
Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title_full Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title_fullStr Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title_full_unstemmed Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title_short Attributable Risk Analysis Reveals Potential Healthcare Savings from Increased Consumption of Dairy Products(2)
title_sort attributable risk analysis reveals potential healthcare savings from increased consumption of dairy products(2)
topic Methodology and Mathematical Modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3417836/
https://www.ncbi.nlm.nih.gov/pubmed/22833660
http://dx.doi.org/10.3945/jn.111.154161
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