Objectives: This study has three objectives: A) To investigate the relationship of ageism on older adults' civic activities; B) To analyze the influence of ageism on mental health; and C) To explore the impact of civic participation on older adults' mental health.
Method: This qualitative study included 782 older people from three different nationalities (Portuguese, Brazilian, and English) ranging in age from 65 to 88. All the interviews went through the process of content analysis.
Results: For the first objective, the findings encompass one high-level theme (Social and individual incompetence), which included social rejection (86%), reduced competence (84%), expectations of failure (83%), and not being able to contribute (77%). For the second objective, findings indicated two overarching categories: Perceived inability, including frustration and impotence (89%), incompetence (77%) and irrelevance (71%); and Perceived distress, including anger (81%), feelings of anxiety (68%); and emotional bursts (63%). For the third objective, the following two high-level themes emerged: Ego-oriented resources, which comprised the development of a sense of purpose (81%), learning cognitive skills (71%), and (A3) practising sense of agency (67%); and Social-oriented resources, encompassing feeling socially integrated (80%); and expressing emotionally (54%). Findings indicated that the most verbalized themes for the three objectives were the same across the three nationalities.
Conclusions: Ageism made it difficult for people to participate in civic life, which has been linked to better mental health. These findings emphasize the need to encourage inclusive civic involvement to improve older individuals' mental health.
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http://dx.doi.org/10.1080/13607863.2024.2348611 | DOI Listing |
Biomed Phys Eng Express
January 2025
Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.
View Article and Find Full Text PDFAustralas Psychiatry
January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
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