Background: Depressive symptoms are common in amnestic mild cognitive impairment (aMCI). The association between depressive symptoms and conversion to dementia is not yet clear. This longitudinal study was conducted to ascertain whether depressive symptoms in aMCI patients are predictive of conversion to dementia.
Methods: 35 aMCI patients participated in this study. All participants underwent cognitive testing and were administered the geriatric depression scale (GDS) to determine the presence of depressive symptoms. A score equaling or higher than 11 on the GDS was taken as the cut-off point for presence of significant depressive symptoms. Conversion to dementia was assessed at follow-up visits after 1.5, 4, and 10 years.
Results: 31.4% of the patients reported depressive symptoms at baseline. None of the cognitive measures revealed a significant difference at baseline between patients with and without depressive symptoms. After 1.5, 4, and 10 years respectively 6, 14, and 23 patients had converted to dementia. Although the GDS scores at baseline did not predict conversion to dementia, the cognitive measures and more specifically a verbal cued recall task (the memory impairment scale-plus) was a good predictor for conversion.
Conclusions: Based on this dataset, the presence of depressive symptoms in aMCI patients is not predictive of conversion to dementia.
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http://dx.doi.org/10.1017/S1041610215002409 | DOI Listing |
J Adolesc Health
January 2025
Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China. Electronic address:
Purpose: Subthreshold depression refers to a condition involving clinically significant depressive symptoms that fall short of meeting the diagnostic criteria for major depressive disorder (MDD). Identifying risk and protective factors associated with the progression of subthreshold depression in early life is essential for timely prevention. However, there is limited research on this topic among early adolescents.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Division of Laryngology and Bronchoesophagology, Department of Otolaryngology Head Neck Surgery, EpiCURA Hospital, Baudour, Belgium; Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), Paris, France; Department of Otolaryngology, Elsan Hospital, Paris, France. Electronic address:
Background: Voice analysis has emerged as a potential biomarker for mood state detection and monitoring in bipolar disorder (BD). The systematic review aimed to summarize the evidence for voice analysis applications in BD, examining (1) the predictive validity of voice quality outcomes for mood state detection, and (2) the correlation between voice parameters and clinical symptom scales.
Methods: A PubMed, Scopus, and Cochrane Library search was carried out by two investigators for publications investigating voice quality in BD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements.
Neurosci Biobehav Rev
January 2025
Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
During most dreams, the dreamer does not realize that they are in a dream. In contrast, lucid dreaming allows to become aware of the current state of mind, often accompanied by considerable control over the ongoing dream episode. Lucid dreams can happen spontaneously or be induced through diverse behavioural, cognitive or technological strategies.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima 960-1295, Japan; Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima 960-1295, Japan. Electronic address:
Background: Few studies have prospectively, comprehensively, and by sex, examined the relationship between lifestyle and depressive symptoms. This study aimed to longitudinally examine which lifestyle factors are associated with depressive symptoms in a large cohort of Japanese participants stratified by sex.
Methods: Among 9087 office and community-based residents who attended a health measurement course at the Osaka Medical Center for Health Science and Promotion between 2001 and 2002, 6629 individuals (3962 men and 2667 women) without prior depressive symptoms were followed until the end of March 2012 to observe the associations between lifestyle factors and the development of new depressive symptoms.
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