Adherence to the EAT–Lancet Diet: Unintended Consequences for the Brain?

Nutrients
Q1
Oct 2022
Citations:26
Influential Citations:2
Observational Studies (Human)
83
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Enhanced Details

Methods
Secondary analysis of data from multiple observational studies collected 2015–2019. Participants: 328 adults aged 18–35 years (206 females, 122 males); generally healthy, excluding cardiovascular/metabolic disorders, GI problems, pregnancy, mood/developmental/eating disorders; excluded those taking appetite/weight medications or nutritional supplements; recruited from Swansea University psychology participant pool and via word-of-mouth/social media; study design: observational analyses with regression, repeated-measures ANOVA, and k-means cluster analysis; outcomes included HRV, mood, episodic/memory and focused attention; dietary patterns assessed using EPIC-Norfolk FFQ with AHEI-2010 and WISH scores and MAR.
Results
Adherence to the EAT-Lancet diet (WISH) showed small or nonsignificant effects on HRV and cognition, but was associated with lower depressed mood and better focused attention after covariate adjustment. Adherence to AHEI showed stronger associations with higher HRV, better mood, and improved episodic memory. Cluster analysis within the top tertile of EAT-Lancet adherence identified two patterns: Balanced (cluster 1) and Restricted (cluster 2). Cluster 2 characterized by limiting red meat/poultry and lower fish/unsaturated fats had poorer nutrient adequacy (folate, selenium, zinc, iron, protein) and higher depressed mood, suggesting potential unintended nutrient-related brain health consequences for some individuals. Overall, AHEI appears more favorable for brain-related outcomes than the EAT-Lancet pattern, and strict EAT-Lancet adherence may not optimize brain health for all. Authors advocate randomized trials to determine how sustainable diets can be optimized to support brain health.
Limitations
Cross-sectional design precludes causal inference. Data come from secondary analyses of multiple studies with potential heterogeneity. Cognition analyses had limited sample size, restricting detection of cognitive effects. The sample consisted of young, healthy UK adults, limiting generalizability to older or clinical populations. Diet assessment relied on FFQ (subject to recall bias) despite validation. Potential residual confounding; nutrient adequacy thresholds (UK RNI/MAR) may not reflect actual brain nutrient status and biomarkers were not used. Replication in larger samples and randomized trials are needed; cluster patterns require external validation.

Abstract

In January 2019, the EAT–Lancet Commission defined a universal reference diet to promote human and environmental health. However, in doing so, the potential consequences for brain health were not considered. Whilst plant-based diets are generally ass...