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. 2021 May 11;25(5):1-11.
doi: 10.1017/S136898002100197X. Online ahead of print.

Pattern analysis of vegan eating reveals healthy and unhealthy patterns within the vegan diet

Affiliations

Pattern analysis of vegan eating reveals healthy and unhealthy patterns within the vegan diet

Catherine T Gallagher et al. Public Health Nutr. .

Abstract

Objective: This study aimed to identify the types of foods that constitute a vegan diet and establish patterns within the diet. Dietary pattern analysis, a key instrument for exploring the correlation between health and disease, was used to identify patterns within the vegan diet.

Design: A modified version of the EPIC-Norfolk FFQ was created and validated to include vegan foods and launched on social media.

Setting: UK participants, recruited online.

Participants: A convenience sample of 129 vegans voluntarily completed the FFQ. Collected data were converted to reflect weekly consumption to enable factor and cluster analyses.

Results: Factor analysis identified four distinct dietary patterns including: (1) convenience (22 %); (2) health conscious (12 %); (3) unhealthy (9 %) and (4) traditional vegan (7 %). Whilst two healthy patterns were defined, the convenience pattern was the most identifiable pattern with a prominence of vegan convenience meals and snacks, vegan sweets and desserts, sauces, condiments and fats. Cluster analysis identified three clusters, cluster 1 'convenience' (26·8 %), cluster 2 'traditional' (22 %) and cluster 3 'health conscious' (51·2 %). Clusters 1 and 2 consisted of an array of ultraprocessed vegan food items. Together, both clusters represent almost half of the participants and yielding similar results to the predominant dietary pattern, strengthens the factor analysis.

Conclusions: These novel results highlight the need for further dietary pattern studies with full nutrition and blood metabolite analysis in larger samples of vegans to enhance and ratify these results.

Keywords: Convenience; Dietary pattern analysis; Healthy; Traditional; Ultraprocessed foods; Vegan diet.

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Figures

Fig. 1
Fig. 1
Scree plot to show eigenvalues of each component number
Fig. 2
Fig. 2
Dendrogram of dietary patterns derived from cluster analysis

References

    1. The Vegan Society (2019) Vegan & thriving. https://www.vegansociety.com/take-action/campaigns/vegan-thriving (accessed November 2019).
    1. The Vegan Society (2019) Statistics. https://www.vegansociety.com/news/media/statistics (accessed November 2019).
    1. Statista (2019) Share of young adults who are vegetarian or vegan in selected European countries in 2017. https://www.statista.com/statistics/768475/vegetarianism-and-veganism-am... (accessed November 2019).
    1. Kamiński M, Skonieczna-Żydecka K, Nowak JK et al. (2020) Global and local diet popularity rankings, their secular trends, and seasonal variation in Google Trends data. Nutrition 79–80, 110759. - PubMed
    1. Mintel Press Office (2019) Veganuary: UK overtakes Germany as world’s leader for vegan food launches. https://www.mintel.com/press-centre/food-and-drink/veganuary-uk-overtake... (accessed April 2019).

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