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首页> 外文期刊>International journal of public health >Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: Effectiveness and models assessments
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Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: Effectiveness and models assessments

机译:减少人口肉类消费以减少温室气体排放并获得健康益处的系统评价:有效性和模型评估

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摘要

Objectives: This review evaluates existing co-benefit models for emission and health outcomes of counterfactual scenarios of reduced meat consumption at a population level. Methods: A novel assessment process was developed, combining selected measures from the Cochrane Review quality assessment tools, from the PRISMA checklist, and model quality measures identified by the authors during the preliminary phases of the review process. Results: Four emission models and three health outcome models have been identified which show great variation in model characteristics and qualities. The estimated counterfactual scenario emission effects presented in the included studies ranged from a reduction of <3-30 % and reduction in the burden of disease ranged from 1 to 16 %. Meta-analysis could not be conducted due to high heterogeneity of model characteristics. Conclusions: All co-benefit studies estimated that reducing population meat consumption could reduce greenhouse gas emissions and the burden of disease. However, important attention must be paid to nutrition balance and a systematic approach in input and output attribute parameters is recommended for better model quality.
机译:目标:这篇综述评估了在人口水平上减少肉类消费的反事实情景中排放和健康结果的现有共同效益模型。方法:开发了一种新颖的评估程序,结合了从Cochrane评估质量评估工具,PRISMA检查表中选择的措施,以及模型作者在评估过程的初始阶段确定的质量度量。结果:已经确定了四个排放模型和三个健康结果模型,这些模型显示出模型特征和质量的巨大差异。在纳入的研究中估计出的反事实情景排放影响范围为减少<3-30%,疾病负担减少范围为1%至16%。由于模型特征的高度异质性,因此无法进行荟萃分析。结论:所有共同效益研究估计减少肉类消费量可以减少温室气体排放和疾病负担。但是,必须特别注意营养平衡,建议使用系统性的输入和输出属性参数方法以提高模型质量。

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