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Articles Published Processes
9/20/2018 5:36:03 AM | Browse: 1449 | Download: 2064
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Received |
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2018-04-28 00:59 |
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Peer-Review Started |
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2018-04-28 14:19 |
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To Make the First Decision |
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2018-06-06 08:15 |
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Return for Revision |
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2018-06-08 00:44 |
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Revised |
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2018-06-12 00:36 |
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Second Decision |
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2018-06-28 10:14 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-06-29 01:15 |
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Articles in Press |
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2018-06-29 01:15 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2018-09-18 07:26 |
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Publish the Manuscript Online |
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2018-09-20 05:36 |
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. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Psychiatry |
Manuscript Type |
Systematic Reviews |
Article Title |
Antidepressant foods: An evidence-based nutrient profiling system for depression
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Manuscript Source |
Invited Manuscript |
All Author List |
Laura R LaChance and Drew Ramsey |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Laura R LaChance, BSc, MD, Academic Research, Lecturer, Research Scientist, Staff Physician, Centre for Addiction and Mental Health, 250 College Street, 7th floor, Toronto M5T 1L8, ON, Canada. laura.lachance@mail.utoronto.ca |
Key Words |
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. |
Publish Date |
2018-09-20 05:36 |
Citation |
LaChance LR, Ramsey D. Antidepressant foods: An evidence-based nutrient profiling system for depression. World J Psychiatr 2018; 8(3): 97-104 |
URL |
http://www.wjgnet.com/2220-3206/full/v8/i3/97.htm |
DOI |
http://dx.doi.org/10.5498/wjp.v8.i3.97 |
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