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Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: effectiveness and models assessments

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International Journal of Public Health

Abstract

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.

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Acknowledgments

We would like to thank John Moss for his suggestion of conducting a systematic review of co-benefit studies in reducing meat consumption, providing website links to well-known systematic review guidelines and giving comments on an earlier version of this paper.

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Correspondence to Cynthia Sau Chun Yip.

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This article is part of the special issue: “Environment and Health Reviews”.

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Yip, C.S.C., Crane, G. & Karnon, J. Systematic review of reducing population meat consumption to reduce greenhouse gas emissions and obtain health benefits: effectiveness and models assessments. Int J Public Health 58, 683–693 (2013). https://doi.org/10.1007/s00038-013-0484-z

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  • DOI: https://doi.org/10.1007/s00038-013-0484-z

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