Purpose: Large numbers of volunteers provide one-to-one support for people with mental illness, sometimes referred to as befriending. However, there has been very little research on their characteristics and motivations. This study aimed to assess the personal characteristics and motivations of such volunteers across different regions in Austria.
Methods: Questionnaires assessing characteristics and motivations were distributed to 663 volunteers providing befriending for people with mental illness within volunteering programmes organised in four Austrian regions.
Results: Questionnaires were completed and returned by 360 out of 663 approached volunteers (response rate 54%). Whilst most socio-demographic characteristics were widely distributed, 78% were female; 42% reported to have a family member and 56% a friend with a mental illness. Most volunteers cited motivations to do something both for others (e.g. "feel a responsibility to help others") and for themselves (e.g. "enhance my awareness of mental health issues"). When the total group was divided into four subgroups in a cluster analysis based on their socio-demographic characteristics, a subgroup of female, single and younger volunteers in full-time employment expressed motivations to achieve something for themselves significantly more often than other subgroups.
Conclusions: The study provides the largest sample of volunteers in befriending programmes for people with mental illness in the research literature to date. The findings suggest that people with different characteristics can be recruited to volunteer for befriending programmes. Recruitment strategies and supervision arrangements should consider motivations both to help others and to achieve something for themselves, and may be varied for specific volunteer subgroups.
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http://dx.doi.org/10.1007/s00127-018-1514-1 | DOI Listing |
Sensors (Basel)
December 2024
REMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.
Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.
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December 2024
Graduate Institute of Biomedical Sciences, China Medical University, Taichung 404, Taiwan.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction and communication. While many studies suggest that individuals with ASD struggle with emotion processing, the association between emotion processing and autistic traits in non-clinical populations is still unclear. We examine whether neurotypical adults' facial emotion recognition and expression imitation are associated with autistic traits.
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December 2024
Department of General Medicine, Shizuoka Saiseikai General Hospital, Shizuoka 422-8527, Japan.
(1) Background: Delirium is a serious condition in patients undergoing treatment for somatic diseases, leading to poor prognosis. However, the pathophysiology of delirium is not fully understood and should be clarified for its adequate treatment. This study analyzed the relationship between confusion symptoms in delirium and resting-state electroencephalogram (EEG) power spectrum (PS) profiles to investigate the heterogeneity.
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December 2024
Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave, Tempe, AZ 85281, USA.
Alzheimer's disease (AD) and Alzheimer's Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI.
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December 2024
Environmental, Genetics, and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Background: A limited number of studies have investigated the role of environmental chemicals in the etiology of mild cognitive impairment (MCI). We performed a cross-sectional study of the association between exposure to selected trace elements and the biomarkers of cognitive decline.
Methods: During 2019-2021, we recruited 128 newly diagnosed patients with MCI from two Neurology Clinics in Northern Italy, i.
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