REVIEW article
Front. Nutr.
Sec. Clinical Nutrition
This article is part of the Research TopicNutrition and Public Health Perspectives for FutureView all 3 articles
Plant-Based Diets and Depression: Epidemiological Evidence, Biological Mechanisms, and Implications for Prevention
Provisionally accepted- 1First Hospital of Shanxi Medical University, Taiyuan, China
- 2Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- 3Shanxi Medical University, Taiyuan, China
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Depression is a leading global mental health burden, and diet has emerged as a modifiable risk factor. This narrative review summarizes evidence about the association between plant-based dietary patterns and depression. It focuses particularly on diet quality and potential mechanisms. We examined plant-based diets—defined by the Plant-Based Diet Index (PDI), healthy PDI (hPDI), and unhealthy PDI (uPDI)—and plant-forward dietary patterns such as the Mediterranean, DASH, and MIND diets in relation to depressive symptoms or diagnosed depression. In diverse populations, greater adherence to healthful plant-based dietary patterns that emphasize minimally processed plant foods typically correlates with reduced depressive symptoms, better mental health, and improved quality of life. Conversely, diets that are high in ultra-processed, energy-dense plant foods are associated with a higher risk of depression. Proposed mechanisms include reduced systemic inflammation, beneficial modulation of the gut microbiota and the microbiota–gut–brain axis, and improved intake of key nutrients and phytochemicals involved in monoamine neurotransmission, neurotrophic signaling, and oxidative stress defense. In general, the influence of plant-based diets on depression seems to be more closely related to diet quality and nutrient adequacy rather than merely the elimination of animal foods.
Keywords: Biological Mechanisms, Depression, diet quality, Plant-based diet, plant-based diet index
Received: 08 Dec 2025; Accepted: 16 Feb 2026.
Copyright: © 2026 Li, Gao, Li, Qiao, Peng, Liu and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Sha Liu
Xin Yan
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