Assessing Greenhouse Gas Emissions and Health Co-Benefits: A Structured Review of Lifestyle-Related Climate Change Mitigation Strategies

被引:51
|
作者
Quam, Vivian G. M. [1 ,2 ]
Rocklov, Joacim [1 ]
Quam, Mikkel B. M. [1 ]
Lucas, Rebekah A. I. [1 ,3 ]
机构
[1] Umea Univ, Dept Publ Hlth & Clin Med Epidemiol & Global Hlth, S-90187 Umea, Sweden
[2] Univ Georgia, Coll Vet Med, Athens, GA 30602 USA
[3] Univ Birmingham, Sch Sport Exercise & Rehabil Sci, Birmingham B15 2TT, W Midlands, England
基金
瑞典研究理事会;
关键词
diet; active transport; co-benefits; climate change mitigation; PHYSICAL-ACTIVITY; MEAT CONSUMPTION; LAND-USE; DIET; IMPACT; ENERGY; FOOD; CAR; MORTALITY; TRANSPORT;
D O I
10.3390/ijerph14050468
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This is the first structured review to identify and summarize research on lifestyle choices that improve health and have the greatest potential to mitigate climate change. Two literature searches were conducted on: (1) active transport health co-benefits, and (2) dietary health co-benefits. Articles needed to quantify both greenhouse gas emissions and health or nutrition outcomes resulting from active transport or diet changes. A data extraction tool (PRISMA) was created for article selection and evaluation. A rubric was devised to assess the biases, limitations and uncertainties of included articles. For active transport 790 articles were retrieved, nine meeting the inclusion criteria. For diet 2524 articles were retrieved, 23 meeting the inclusion criteria. A total of 31 articles were reviewed and assessed using the rubric, as one article met the inclusion criteria for both active transport and diet co-benefits. Methods used to estimate the effect of diet or active transport modification vary greatly precluding meta-analysis. The scale of impact on health and greenhouse gas emissions (GHGE) outcomes depends predominately on the aggressiveness of the diet or active transport scenario modelled, versus the modelling technique. Effective mitigation policies, infrastructure that supports active transport and low GHGE food delivery, plus community engagement are integral in achieving optimal health and GHGE outcomes. Variation in culture, nutritional and health status, plus geographic density will determine which mitigation scenario(s) best suit individual communities.
引用
收藏
页数:19
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