Unlabelled: Myasthenia gravis (MG) is a neuromuscular autoimmune disease characterized by skeletal muscle weakness which can impact motor function and, furthermore, produce negative impact on the health-related quality of life (HRQOL).
Objective: To evaluate the predictors for HRQOL in patients with MG.
Methods: Eighty patients were evaluated with the MG Foundation of America classification and the MG Composite scale. HRQOL was estimated by the MGQOL15, while anxious and depressive symptoms were evaluated with the Hospital Anxiety and Depression Scale (HAD).
Results: The mean age of patients was 41.9 years with mean illness duration of 13.5 years. Almost half of the patients (43.75%) had significant anxiety and more than a quarter (27.50%) had depressive symptoms. Factors that influenced the HRQOL in MG were skeletal muscle weakness and anxiety and depressive symptoms (p < .001 in logistic regression model).
Conclusion: Anxiety and depressive symptoms, besides motor symptoms, influence HRQOL in MG. Mental health must be a clinical focus in addition to the treatment of somatic symptoms during the course of MG.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jocn.2018.01.011 | DOI Listing |
J 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.
J 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.
J Affect Disord
January 2025
Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal. Electronic address:
Assessing Fear of Birth Scale's (FOBS) psychometric properties in the perinatal period using multicountry data is a step toward effectively screen clinically significant fear of childbirth (FOC) in maternal healthcare settings. FOBS psychometric properties were analyzed in women in the perinatal period using data from Australia, Germany, Lithuania, Poland, and Portugal. FOBS' reliability, criterion (known group and convergent), concurrent, predictive, and clinical validity were analyzed.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Center for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA; Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA. Electronic address:
Background: A knowledge gap exists in understanding the role of social isolation as a determinant of mental health among hybrid employees during the COVID-19 era.
Methods: Using 2024 Household Pulse Survey data, we investigated the relationship between social isolation and mental health among US hybrid employees. We assessed depression symptoms using the Patient Health Questionnaire-2 and anxiety symptoms using the Generalized Anxiety Disorder-2.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!