This study aimed to seek whether habitual fish and seafood or n-3 long-chain PUFA intake could influence the occurrence of depressive episodes. In a subsample from the French SU.VI.MAX cohort, dietary habits have been assessed during the first 2 years of the follow-up (six 24-h records) and declarations of antidepressant prescription, taken as markers of depressive episodes, have been recorded during the 8-year follow-up. Subjects consuming fatty fish or with an intake of long-chain n-3 PUFA higher than 0.10% of energy intake had a significantly lesser risk of any depressive episode and of recurrent depressive episodes, but not of single depressive episode. These associations were stronger in men and in non-smokers. In contrast, smokers eating fatty fish had an increased risk of recurrent depression. These results suggest that a usual intake of fatty fish or long-chain n-3 PUFA may decrease the risk of recurrent depression in non-smokers.
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http://dx.doi.org/10.1016/j.plefa.2008.01.003 | DOI Listing |
J Neural Transm (Vienna)
January 2025
Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
In major depressive disorder (MDD), alterations in ghrelin levels and cognitive impairment coexist, yet their association has remained largely elusive. This study aimed to investigate the association between ghrelin levels and cognition in both MDD patients and healthy controls (HCs) while also exploring sex-specific differences in this correlation. A total of 155 Chinese Han subjects, including 90 first-episode drug-naive MDD patients and 65 HCs, were enrolled.
View Article and Find Full Text PDFBrain Stimul
January 2025
Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. Electronic address:
J Affect Disord
January 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq. Electronic address:
Background: A recent study conducted by the laboratory of the first author revealed that major depression is composed of two distinct subtypes: major dysmood disorder (MDMD) and simple dysmood disorder (SDMD). The latter is a less severe phenotype with fewer aberrant biological pathways. MDMD, but not SDMD, patients were identified to have highly sensitized cytokine/growth factor networks using stimulated whole blood cultures.
View Article and Find Full Text PDFAm J Manag Care
January 2025
Department of Population Health Sciences, Weill Cornell Medicine, 575 Lexington Ave, 6th Floor, New York, NY 10022. Email:
Objectives: Medicaid is the largest payer of mental health (MH) services in the US, and more than 80% of its enrollees are covered by Medicaid managed care (MMC). States are required to establish quantitative network adequacy standards (NAS) to regulate MMC plans' MH care access. We examined the association between quantitative NAS and MH care access among Medicaid-enrolled adults and among those with MH conditions.
View Article and Find Full Text PDFMed Sci (Basel)
January 2025
Faculty of Education, Tel-Hai Academic College, Upper Galilee 2208, Israel.
Depression poses significant challenges to global healthcare systems and impacts the quality of life of individuals and their family members. Recent advancements in artificial intelligence (AI) have had a transformative impact on the diagnosis and treatment of depression. These innovations have the potential to significantly enhance clinical decision-making processes and improve patient outcomes in healthcare settings.
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