Objective: The study aims to understand the relationship between the living-alone period and depressive symptoms among the elderly in South Korea.
Methods: The study obtained data on the elderly over 65 years old from the 2006 to 2019 Korea Welfare Panel Study. Generalized estimating equation (GEE) analysis was performed to understand changes in depressive symptoms over periods of living alone. Additional subgroup analysis of age and gender was conducted to observe differences.
Results: A total 568 (19% of the study samples) elderly transitioned from living with others into a living-alone state. Males and females showed a significant increase in depressive symptoms as they started to live alone, which gradually decreased with prolonged periods of living alone. The result of the GEE analysis demonstrated high odds of depressive symptoms during the first (OR = 1.857; 95% CI: 1.492-2.310), second (OR = 1.414; 95% CI: 1.127-1.774), and third (OR = 1.413; 95% CI: 1.105-1.808) years of living alone compared with living with others. Regarding additional subgroup analysis, the female and old-old groups showed high odds of depressive symptoms in the first 3 years of living alone, whereas the male and young-old groups showed high odds for the first year only.
Conclusions: The study provides valuable insights into the relationship between the living-alone period and depressive symptoms among the elderly. Future research using the living-alone period on various social factors are recommended.
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http://dx.doi.org/10.1016/j.archger.2021.104341 | DOI Listing |
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFQual Life Res
January 2025
Department of Clinical Science, Child- and Adolescent Psychiatry, Umeå University, 90185, Umeå, Sweden.
Purpose: The objective of this study is to assess the psychometric properties and reliability of the Swedish Patient-Reported Outcomes Measurement Information System (PROMIS) item banks for anxiety and depressive symptoms with item response theory analysis and post-hoc computerized adaptive testing in a combined Swedish Child and Adolescent Psychiatry (CAP) and school sample.
Methods: Participants (n = 928, age 12-20) were recruited from junior and high schools and Child and Adolescent Psychiatry Clinics in the region of Västerbotten. Unidimensionality, local independence, and monotonicity was tested.
Neurol Sci
January 2025
Department of Neurology, PGIMER, Chandigarh, India.
Background: Non-motor symptoms, including depression, anxiety, sleep disturbances, pain and cognitive dysfunction, are a much more important predictor of quality of life than the severity of dystonia.
Objectives: To assess the effect of Botulinum toxin on non-motor symptoms and quality of life in patients with adult-onset idiopathic focal dystonia.
Methods: Patients aged > 18 years diagnosed with idiopathic focal dystonia were recruited in this longitudinal cohort study.
Neurosurg Rev
January 2025
Department of Neurosurgery, University Medical Centre, Johannes Gutenberg University, Mainz, Germany.
The aim of this study was to investigate the level of distress and the quality of life of operated and non-operated patients with pituitary tumors. Patients who presented to a neurosurgical center and two endocrinological services for outpatient follow-up after surgical treatment, as well as those under medical therapy or radiological follow-up without treatment, were invited to participate in the study. Sociodemographic, health-related quality of life and clinical data were assessed.
View Article and Find Full Text PDFSouth Med J
February 2025
From the Center for Value-Based Care Research, Cleveland Clinic.
Objectives: Understanding the epidemiology of treatment for patients with co-occurring depression and obesity can inform care quality. The objective of the study was to identify how patients with obesity and newly diagnosed depression are treated and whether treatment is associated with body mass index change.
Methods: This cohort study included adults with obesity and newly diagnosed depression who had ≥2 primary care visits between 2015 and 2020 at a large integrated health system.
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