An increasing number of studies have focused on the relationship between neighbourhood environment and depressive symptoms among older people. However, the underlying mechanisms are still unclear. This study examined the association between neighbourhood environment and depressive symptoms among older urban Chinese adults and the mediator role of social capital in this association. Using a quota sampling approach, 472 respondents aged 60 years or older were recruited from 23 urban communities of Shanghai, China, in 2020. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. Social capital was measured by two latent constructs: cognitive social capital (e.g., trust, reciprocity, belongingness) and structural social capital (e.g., memberships, social participation). Perceived physical neighbourhood environment was assessed in terms of health care, security, and public transportation status. Structural equation modelling was conducted to test the study hypotheses. Health care services in the community had a direct effect on depressive symptoms (β = -0.097, p < .05). Cognitive social capital played a mediator role in the relationship between physical neighbourhood environment and depressive symptoms (community health care: β = -0.124, p < .01; community security: β = -0.284, p < .01). The mediator effect of structural social capital in the relationship between physical neighbourhood environment and depressive symptoms was not significant. The findings highlight the role of physical neighbourhood environment in fostering community-based social capital and promoting mental health among older adults in urban China. Policy strategies could focus on improving community health care and security to promote mental health.
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http://dx.doi.org/10.1111/hsc.13631 | 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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