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Publication Name World Journal of Psychiatry
Manuscript ID 39584
Country of Manuscript Source Canada
Specialty Psychiatry
Manuscript Type Systematic Review
Article Title Antidepressant foods: An evidence-based nutrient profiling system for depression
Manuscript Source Invited Manuscript
All Author List Laura R LaChance and Drew Ramsey
Funding Agency and Grant Number
Correspondence To Laura R LaChance, BSc, MD, Academic Research, Lecturer, Research Scientist, Staff Physician, Clinician Scientist, Centre for Addiction and Mental Health, 250 College Street, 7th floor, Toronto M5T 1L8, ON, Canada. laura.lachance@mail.utoronto.ca
Keywords Depressive disorder; Mental disorders; Diet; Diet therapy; Food
Core Tip The Antidepressant Food Score was designed to identify the most nutrient-dense individual foods to prevent and promote recovery from depressive disorders and symptoms. Results can be used to inform the design of future research studies or clinical dietary recommendations. This tool is based on a systematic literature review, evidence-informed list of Antidepressant Nutrients, and nutrient density calculation. The highest scoring animal foods were bivalves such as oysters and mussels, various seafoods, and organ meats. The highest scoring plant-based foods were leafy greens, lettuces, peppers, and cruciferous vegetables. These foods can be integrated into any dietary pattern.
Citation LaChance LR, Ramsey D. Antidepressant foods: An evidence-based nutrient profiling system for depression. World J Psychiatr 2018; 8(3): 97-104
Received
2018-04-28 00:59
Peer-Review Started
2018-04-28 14:19
To Make the First Decision
2018-06-06 08:15
Return for Revision
2018-06-08 00:44
Revised
2018-06-12 00:36
Second Decision
2018-06-28 10:14
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2018-06-29 01:15
Articles in Press
2018-06-29 01:15
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2018-09-18 07:26
ISSN 2220-3206 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7901 Stoneridge Drive, Suite 501, Pleasanton, CA 94588, USA
Website http://www.wjgnet.com
Assistant Editor Xiang Li
Science Editor Li-Jun Cui
Reviewer Code 00742054, and 00506058
Editorial Director Jin-Lei Wang
Journal Chief Editor
Company Chief Editor Li Ma
Language Editor
Electronic Editor Ying-Na Bian
Responsible Electronic Editor Ying-Na Bian
Responsible Science Editor Ying Dou
Proofing Editorial Director Jin-Lei Wang
Proofing Editor-in-Chief Lian-Sheng Ma
Full Article (PDF) WJP-8-97.pdf
Full Article (Word) WJP-8-97.doc
Revised Manuscript 39584-Review.docx
Peer-review Report 39584-Peer-review(s).pdf
Answering Reviewers 39584-Answering reviewers.pdf
Scientific Misconduct Check 39584-Scientific misconduct check.pdf
Scientific Editor Work List 39584-Scientific editor work list.pdf
Audio Core Tip 39584-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 39584-Conflict-of-interest statement.pdf
Copyright License Agreement 39584-Copyright assignment.pdf
Supplementary Material 39584-Supplementary material.pdf