Objectives: Falls among elderly are a well-recognised public health problem. The purpose of the present study was to explore the relation between dementia, number of depressive symptoms, activities of daily living, setting, and risk of falling.
Methods: Data for the analysis came from a cross-sectional study about dementia, depression, and disabilities, carried out 1995/96 in Zurich and Geneva. The random sample stratified, by age and gender consisted of 921 subjects aged 65 and more. The interview was conducted by means of the Canberra interview for the Elderly, extended by short questionnaire. The subject was classified as a faller if the subject and/or the informant had reported a fall within the last 12 months prior to the interview. Logistic-regression analysis was used to determine the independent impact of dementia, depressive symptoms, and ADL-score on risk of falling.
Results: The stepwise logistic regression analysis has revealed a statistically significant association between dementia (OR 2.14, 95% CI 1.15-3.96), two resp. three depressive symptoms (OR 1.64, 95% CI 1.04-2.60) as well as four or more depressive symptoms (OR 2.64, 95% CI 1.39-5.02) and the risk of falling. There was no statistically significant relationship between studied risk factors and the risk of being one-time faller. However, we found a strong positive association between dementia (OR 3.92, 95% CI 1.75-8.79), four or more depressive symptoms (OR 3.90, 95% CI 1.55-9.83) and the risk of being recurrent faller. Moreover, residents of nursing homes (OR 8.50, 95% CI 2.18-33.22) and elderly aged 85 or more (OR 2.29, 95% CI 1.08-4.87) were under statistically significant higher risk of sustaining recurrent falls.
Conclusions: The results of the present study confirm that dementia and depression substantially increase the risk of falling.
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http://dx.doi.org/10.1007/BF01299729 | 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.
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