Quam Vivian G M, Rocklöv Joacim, Quam Mikkel B M, Lucas Rebekah A I
Department of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, 901 87 Umeå, Sweden.
College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.
Int J Environ Res Public Health. 2017 Apr 27;14(5):468. doi: 10.3390/ijerph14050468.
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.
这是首次进行的系统性综述,旨在识别和总结有关改善健康且最有潜力缓解气候变化的生活方式选择的研究。我们针对以下两方面进行了两次文献检索:(1)主动出行的健康协同效益,以及(2)饮食的健康协同效益。文章需要量化因主动出行或饮食改变所产生的温室气体排放以及健康或营养结果。我们创建了一个数据提取工具(PRISMA)用于文章的筛选和评估。我们设计了一个评分标准来评估纳入文章的偏差、局限性和不确定性。对于主动出行,共检索到790篇文章,其中9篇符合纳入标准。对于饮食,共检索到2524篇文章,其中23篇符合纳入标准。由于有一篇文章同时符合主动出行和饮食协同效益的纳入标准,因此总共对31篇文章使用该评分标准进行了审查和评估。用于估计饮食或主动出行改变效果的方法差异很大,无法进行荟萃分析。对健康和温室气体排放(GHGE)结果的影响程度主要取决于所模拟的饮食或主动出行情景的激进程度,而非建模技术。有效的缓解政策、支持主动出行和低碳GHGE食品配送的基础设施,以及社区参与,对于实现最佳的健康和GHGE结果至关重要。文化、营养和健康状况以及地理密度的差异将决定哪种缓解情景最适合各个社区。