The aim of this study is to compare a cognitive behavioral group therapy (CBT) with a health enhancement program (HEP) for stress reduction and the impact on quality of life (QoL) in patients with Parkinson's disease (PD). : Thirty patients with PD participated in the study: 16 received CBT including stress-reducing elements and 14 took part in a HEP. The two groups did not differ significantly in their baseline demographic characteristics. The patients in both groups underwent weekly sessions of 2 h duration for 9 weeks. The with 39 items (PDQ-39), the (translated from the original German: (BELA) and the [ (FKK)] were used for assessment. Ratings were completed at baseline and after 9 weeks (immediately after the last treatment session). : The patients in the CBT group achieved significantly better BELA, FKK and PDQ-39 scores ( < 0.05). Subscale analysis revealed that the scores on the BELA subscales "emotional well-being" and "somatic motor function" contributed significantly to stress reduction ( < 0.05). The FKK revealed significant improvement in social skills in the CBT group ( < 0.05). : Cognitive Behavioral Group Therapy appears to be an effective way for patients with PD to lessen stress and improve their quality of life.
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http://dx.doi.org/10.3389/fpsyg.2016.01975 | DOI Listing |
Digit Health
January 2025
Department of Health Promotion, Maastricht University/CAPHRI, Maastricht, The Netherlands.
Background: The rapidly evolving nature of eHealth necessitates regular optimization and subsequent evaluation. Within the Dutch sexual health intervention Sense.info, we utilized a mixed-methods cyclic evaluation process to assess and optimize the potential impact of the chlamydia page.
View Article and Find Full Text PDFAm J Neurodegener Dis
December 2024
School of Electrical Engineering, Iran University of Science and Technology Tehran, Iran.
Unlabelled: This study explores the concept of neural reshaping and the mechanisms through which both human and artificial intelligence adapt and learn.
Objectives: To investigate the parallels and distinctions between human brain plasticity and artificial neural network plasticity, with a focus on their learning processes.
Methods: A comparative analysis was conducted using literature reviews and machine learning experiments, specifically employing a multi-layer perceptron neural network to examine regression and classification problems.
Crit Care Explor
January 2025
Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands.
Objectives: The COVID-19 pandemic gave rise to uncertainty concerning potential sequelae related to a severe acute respiratory syndrome coronavirus 2 infection. This landscape is currently unfolding with studies reporting sequelae on various domains (physical, cognitive, and psychosocial), although most studies focus on adults or only one domain. We sought to investigate concurrent sequelae on multiple domains 1 year after PICU admission for Multisystem Inflammatory Syndrome in Children (MIS-C).
View Article and Find Full Text PDFInfant Child Dev
April 2024
Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States.
Background: Respiratory Sinus Arrhythmia Reactivity (RSA-R) correlates both positively and negatively with externalizing behavior in autistic individuals. These inconsistencies may result from task-based differences. This pilot study measured RSA-R in 4-to 6-year-olds, across two time-points, using four validated tasks with matched baseline and challenge periods.
View Article and Find Full Text PDFHeliyon
January 2025
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022, València, Spain.
Resting state electroencephalography (EEG) has proved useful in studying electrophysiological changes in neurodegenerative diseases. In many neuropathologies, microstate analysis of the eyes-closed (EC) scalp EEG is a robust and highly reproducible technique for assessing topological changes with high temporal resolution. However, scalp EEG microstate maps tend to underestimate the non-occipital or non-alpha-band networks, which can also be used to detect neuropathological changes.
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