Objective: Little research has focused on the mental health of Latino caregivers with a relative with schizophrenia, despite data showing that up to three-quarters of Latino persons with schizophrenia live with their families. This study examined the relation between caregivers' mental health and perceived burden and stigma and characteristics of the patient and caregiver.
Methods: Interviews were conducted in the language of preference (Spanish or English) in Wisconsin, California, and Texas with 85 Latinos caring for an adult with schizophrenia. Measures included the Center for Epidemiologic Studies-Depression Scale, the Zarit Burden Scale, and the Greenley Stigma Scale.
Results: General population studies of Mexican Americans have found that between 12% and 18% meet the cutoff for being at risk of depression; however, 40% of the sample met this criterion. Younger caregiver age, lower levels of caregivers' education, and higher levels of the patients' mental illness symptoms were predictive of higher levels of caregivers' depressive symptoms. Caregivers' perceived burden mediated the relation between patients' psychiatric symptoms and caregivers' depression. Caregivers' perceived stigma was significantly related to caregivers' depressive symptoms, even when the analyses statistically adjusted for psychiatric symptoms and demographic variables.
Conclusions: The high rates of depressive symptoms among Latino families caring for a relative with schizophrenia suggest that interventions should include attention to the mental health and recovery of family caregivers in addition to the patient's recovery. Younger Latino caregivers and those with lower levels of education are particularly at risk of depression.
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http://dx.doi.org/10.1176/ps.2007.58.3.378 | 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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