Introduction: Ageism and loneliness are two relevant public health phenomena because of their negative impact on the senior's mental health. With the increase in average life expectancy, these tend to co-occur, which may increase the psychological distress (PD) of seniors. Resilience has been shown to be an important protective factor of seniors mental health, although its potential buffering role of public health risk factors with cumulative impact on mental health, such as loneliness and ageism, needs to be more studied.
Aim: To assess the potential mediator role of resilience between the effects of ageism and loneliness on PD in seniors.
Methods: A sample of 349 Portuguese seniors aged 60 years and over was collected through an online survey and during the COVID-19 pandemic period. Seniors completed the Kessler Psychological Distress Scale (K6), the Short-Form of UCLA Loneliness Scale (USL-6), the Ambivalent Ageism Scale (AAS) and the Connor-Davidson Resilience Scale (CD-RISC-10). A mediation analysis model was developed with resilience as a mediating variable.
Results: There were moderate to high levels of PD and moderate levels of ageism, loneliness and resilience. Resilience fully mediated the effect of ageism on PD and partially mediated the effect of loneliness on PD.
Conclusions: Resilience was an important protective factor of mental health against the effects of ageism, and partially protected mental health from the effects of loneliness among seniors. It is suggested that resilience be considered as a factor to be integrated in future intervention programs for mental health. The practical applicability of this study is discussed.
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http://dx.doi.org/10.1016/j.ijchp.2022.100339 | DOI Listing |
Neuromodulation
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Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
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View Article and Find Full Text PDFViruses
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Department of Toxicology, Drug Industry, Management and Legislation, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, 2nd Eftimie Murgu Sq., 300041 Timişoara, Romania.
The COVID-19 outbreak, caused by the SARS-CoV-2 virus, was linked to significant neurological and psychiatric manifestations. This review examines the physiopathological mechanisms underlying these neuropsychiatric outcomes and discusses current management strategies. Primarily a respiratory disease, COVID-19 frequently leads to neurological issues, including cephalalgia and migraines, loss of sensory perception, cerebrovascular accidents, and neurological impairment such as encephalopathy.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human-computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. We employed detrended fluctuation analysis (DFA), Hurst exponent estimation, and wavelet entropy calculation to extract fractal features from EDA signals obtained from the CASE dataset, which contains physiological recordings and continuous emotion annotations from 30 participants.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Instituto de Estudios de Género, Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Spain.
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements.
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