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2.
Article in English | MEDLINE | ID: mdl-29710784

ABSTRACT

There is growing recognition that implementation of low-carbon policies in urban passenger transport has near-term health co-benefits through increased physical activity and improved air quality. Nevertheless, co-benefits and related cost reductions are often not taken into account in decision processes, likely because they are not easy to capture. In an interdisciplinary multi-model approach we address this gap, investigating the co-benefits resulting from increased physical activity and improved air quality due to climate mitigation policies for three urban areas. Additionally we take a (macro-)economic perspective, since that is the ultimate interest of policy-makers. Methodologically, we link a transport modelling tool, a transport emission model, an emission dispersion model, a health model and a macroeconomic Computable General Equilibrium (CGE) model to analyze three climate change mitigation scenarios. We show that higher levels of physical exercise and reduced exposure to pollutants due to mitigation measures substantially decrease morbidity and mortality. Expenditures are mainly born by the public sector but are mostly offset by the emerging co-benefits. Our macroeconomic results indicate a strong positive welfare effect, yet with slightly negative GDP and employment effects. We conclude that considering economic co-benefits of climate change mitigation policies in urban mobility can be put forward as a forceful argument for policy makers to take action.


Subject(s)
Air Pollution/prevention & control , Climate Change , Environmental Exposure/prevention & control , Environmental Policy , Exercise , Urban Health , Vehicle Emissions/prevention & control , Air Pollutants , Air Pollution/economics , Austria , Cost-Benefit Analysis , Environmental Exposure/economics , Environmental Policy/economics , Health Policy , Health Promotion/economics , Health Promotion/methods , Humans , Models, Theoretical , Transportation/economics , Transportation/methods
3.
Crit Rev Food Sci Nutr ; 58(2): 247-261, 2018 Jan 22.
Article in English | MEDLINE | ID: mdl-27128451

ABSTRACT

Meat is an important food for human nutrition, by especially providing high-quality protein and also some essential micronutrients, in front iron, zinc, and vitamin B12. However, a high intake of red and processed meat is associated with an increased risk for diseases, especially type 2 diabetes and colorectal cancer, as several epidemiological studies and meta-analyses have shown. This review summarizes meta-analyses of publications studying the association between red and processed meat intake and type 2 diabetes, cardiovascular diseases, colorectal and other cancers, and all-cause mortality. Various potential mechanisms involved in the increased disease risk are discussed. Furthermore, the beneficial effects of healthy alternatives for meat, like fish, nuts, vegetables and fruits, pulses and legumes, whole grains, and dairy products are reviewed by including selected papers and recent meta-analyses.


Subject(s)
Cardiovascular Diseases/etiology , Colorectal Neoplasms/etiology , Diabetes Mellitus, Type 2/etiology , Diet, Healthy , Evidence-Based Medicine , Meat/adverse effects , Animals , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/mortality , Cardiovascular Diseases/prevention & control , Cattle , Colorectal Neoplasms/epidemiology , Colorectal Neoplasms/mortality , Colorectal Neoplasms/prevention & control , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/mortality , Diabetes Mellitus, Type 2/prevention & control , Diet, Healthy/trends , Dietary Proteins/administration & dosage , Dietary Proteins/analysis , Food, Preserved/adverse effects , Humans , Iron, Dietary/administration & dosage , Iron, Dietary/analysis , Meat/analysis , Meat Products/adverse effects , Meta-Analysis as Topic , Mortality , Nutritive Value , Risk Factors , Sheep, Domestic , Sus scrofa , Vitamin B 12/administration & dosage , Vitamin B 12/analysis , Zinc/administration & dosage , Zinc/analysis
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