The mental health of the United States' Latino population significantly deteriorated during the SARS-CoV-2 (COVID-19) pandemic, and Latino immigrants living in rural areas faced unique vulnerabilities. However, few studies have specifically examined the mental health burden and experiences of rural Latino immigrants during the COVID pandemic. To understand the mental health experiences of first- and second-generation Latinos in rural areas, we conducted semi-structured interviews with 35 Latino residents of rural California counties during July 2020-February 2021 and screened all respondents for major depression and generalized anxiety symptoms using the Patient Health Questionnaire [PHQ]-2 and Generalized Anxiety Disorder [GAD]-2 screeners. We explored the prevalence of symptoms of depression and anxiety in our sample, iteratively analyzed participants' narratives regarding the mental health impact of the pandemic, and used their mental health screener status to contextualize these narratives. Results indicated that nearly all respondents viewed mental health as a major concern, and 34% (n = 12) of respondents screened positive for major depression or generalized anxiety disorder. Respondents connected their mental health concerns to experiences of financial precarity, fear of contracting COVID-19, social isolation, and the challenges of remote schooling. Additional themes emerged around problems accessing the mental health care system, the utility of pre-pandemic mental health services, and using healthy coping mechanisms to alleviate psychological problems. Respondents' narratives tended to focus on the mental health challenges facing their family members, particularly their children. Our findings suggest that mental health intervention models that engage with multiple family members, policies that support infrastructure for encouraging exercise and outdoor activity, and ensuring access to culturally and linguistically appropriate mental health care for Latino communities may be important for protecting population mental health.
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http://dx.doi.org/10.1016/j.ssmmh.2022.100177 | 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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