Reanalysis of “A longitudinal study of meat reduction over time in the UK”

• Reanalyzed Bryant et al.’s study on the drivers of meat & animal product reduction. • Used standard causal inference methods for longitudinal data. • Found that motivation to consume less meat is linked to less, not more, consumption. • Corroborated link between outdoor media and increased animal-based consumption. • Corroborated inverse relation between alternative protein & animal-based consumption. Bryant et al.’s longitudinal study investigated causes of meat and animal product reduction. While their study design had important strengths, the analysis had significant problems that preclude interpreting the estimates as causal effects or even as meaningful associations. Our reanalysis of this study resolves the statistical issues by using standard causal inference methods for longitudinal studies. Our findings sometimes corroborated those of Bryant et al., but at other times diverged. In contrast to Bryant et al.’s findings, our analyses indicate that increased motivation to reduce meat consumption is associated with lower actual consumption of animal products. This result diverges from Bryant et al.’s surprising finding that motivation to decrease consumption was associated with increased rather than decreased animal product consumption. Additionally, our results suggest that consuming plant-based alternatives and perhaps also handling raw meat were associated with changes in plant-based dietary behavior and ideation. Several other findings corroborated those in the original analysis. We commend Bryant et al.’s study design and appreciate their exceptional support for our performing this reanalysis.

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Publication Details

Journal
Food Quality and Preference
Published
2024-09-14
DOI
https://doi.org/10.1016/j.foodqual.2024.105324
Citations
2
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
0.92
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article

Reanalysis of “A longitudinal study of meat reduction over time in the UK”

Maya B. Mathur, Jared Winslow
2 citations
Food Quality and Preference
Agriculture Sustainability and Environmental Impact
0.92
article

Reanalysis of “A longitudinal study of meat reduction over time in the UK”

Maya B. Mathur, Jared Winslow
article en
2 citations

Abstract

• Reanalyzed Bryant et al.’s study on the drivers of meat & animal product reduction. • Used standard causal inference methods for longitudinal data. • Found that motivation to consume less meat is linked to less, not more, consumption. • Corroborated link between outdoor media and increased animal-based consumption. • Corroborated inverse relation between alternative protein & animal-based consumption. Bryant et al.’s longitudinal study investigated causes of meat and animal product reduction. While their study design had important strengths, the analysis had significant problems that preclude interpreting the estimates as causal effects or even as meaningful associations. Our reanalysis of this study resolves the statistical issues by using standard causal inference methods for longitudinal studies. Our findings sometimes corroborated those of Bryant et al., but at other times diverged. In contrast to Bryant et al.’s findings, our analyses indicate that increased motivation to reduce meat consumption is associated with lower actual consumption of animal products. This result diverges from Bryant et al.’s surprising finding that motivation to decrease consumption was associated with increased rather than decreased animal product consumption. Additionally, our results suggest that consuming plant-based alternatives and perhaps also handling raw meat were associated with changes in plant-based dietary behavior and ideation. Several other findings corroborated those in the original analysis. We commend Bryant et al.’s study design and appreciate their exceptional support for our performing this reanalysis.

Food Quality and PreferenceVol. 123
Quantitative BioSciences (US), Columbia University (US), Stanford University (US)
Zero hunger
Openalex Percentile: Top 23%
Agriculture Sustainability and Environmental Impact
0.92
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