Landscapes of support for farming mental health: Adaptability in the face of crisis

Poor mental health is an important and increasingly prevalent issue facing the farming industry. The adaptability of what we, in this article, describe as 'landscapes of support' for farming mental health is important to allow support systems to adapt successfully in times of crisis. The term 'landscapes of support' refers to the range of support sources available to farmers, including government, third sector bodies and farming/community groups. This article seeks to understand the factors influencing the adaptability of these landscapes of support, especially at a time of crisis. Using a case study of the UK, we undertook a literature review, interviews with 22 mental health support providers and an online survey of people within landscapes of support (93) and farmers themselves (207). We also held an end-of-project workshop. Using an adapted three-point framework to assess adaptability, we found that support-giving organisations adapted during the pandemic using a range of interventions (e.g., enhanced digital offering, use of media), but implementation was affected by organisational challenges (e.g., limited digital training, funding shortfalls, staff trauma) and operational constraints (e.g., lack of capacity, rural digital divide, tension between providers, stigma). We discuss how landscapes of support for farming mental health can be made more sustainable to deal with future shocks.

How did the COVID-19 pandemic impact the wellbeing of family care-givers? A longitudinal study of older adults in Germany

Previous research was not able to identify an effect of the COVID-19 pandemic on family care-givers' wellbeing due to cross-sectional data structures, care-giver-specific samples or non-probability sampling designs. In this article, by drawing on longitudinal data from a random and representative sample of the German population aged 40 and older, we overcome methodological limitations of previous research. We examine the impact of the COVID-19 pandemic on the wellbeing (life satisfaction, depressive symptoms, loneliness) of different groups of family care-givers (new care-givers, continuous care-givers, past care-givers) and non-care-givers in Germany. We derived a balanced sample of n = 3,875 individuals aged 43-97 (mean = 66.5 years, standard deviation = 10.2 years) from the German Ageing Survey (DEAS) to explore changes in wellbeing between 2017 (pre-pandemic) and June/July 2020 (pandemic). Using a first-difference approach, we found that the pandemic has a negative impact on both non-care-givers' and family care-givers' wellbeing, with increased levels of depressive symptoms and loneliness compared to pre-pandemic times. Changes in depressive symptoms of family care-givers did not significantly deviate from non-care-givers. However, continuous care-givers showed more pronounced increases in loneliness compared to non-care-givers. Our results suggest that family care-givers' wellbeing merits particular attention when considering the long-term consequences of the COVID-19 pandemic on individuals' wellbeing.

COVID-19 Pandemic and Caregiving of Old Adults with Chronic Nervous System Disease

Background: The COVID-19 pandemic and the concomitant quarantine have significantly reduced old adults' independence in doing daily or functional activities. Thus, they require more support and help at home. Because of the effect of the disease's progression and the adverse effects of quarantine on patients' functional status, old adults' caregivers might have been affected too. Objectives: The present research aimed to explore the role of the caregiving burden in the relationship between old adults' functional status and caregivers' mental health. Methods: The research population comprised caregiver families of old adults afflicted with chronic nervous diseases during the pandemic. To this aim, a sample of 249 caregiver families of old adults suffering from Alzheimer's disease, Parkinson's disease, or stroke participated in this study. Data were collected using three online questionnaires of Lawton's instrumental activities of daily living scale (IADL), Novak's caregiver burden inventory, and Goldberg's mental health questionnaire. Data analysis was administered by Pearson's correlation coefficient and structural equation modeling (SEM). Results: Correlation analysis and SEM results showed that the patients' functional status and caregivers' mental health had a significant, positive correlation, which was mediated by the caregiving burden variable. Conclusions: It can be concluded that better functional status of old adults can lead to a lower caregiving burden. Also, it can significantly improve caregivers' mental health and increase the old adults' and caregivers' quality of life.