Background: There is a need for a valid assessment test of balance in early Parkinson's disease (PD).
Objective: To validate the Bäckstrand Dahlberg Liljenäs Balance Scale (BDL), a test of balance performance constructed to assess mild to moderate balance disability due to neurological disease, for use in persons with early PD.
Methods: Cross-sectional psychometric evaluation study from a convenience sample community-dwelling persons with PD (n = 28).
Main Measures: The BDL was validated using the Berg Balance Scale (BBS), the motor part of the Unified Parkinson's Disease Rating Scale (mUPDRS), the Timed Up and Go (TUG) and Timed Up and Go-cognition (CTUG). Correlations were calculated by Spearman's rank correlation coefficient (rho). Rasch analyses were used to test the internal construct of the BDL. The result from the BDL was compared to a healthy reference group.
Results: The correlation between the BDL and the BBS (rho = 0.703) was high positive, while for mUPDRS (rho = -0.280), TUG (rho = -0.321) and CTUG (rho = -0.361) the correlations with the BDL were negligible to low negative. The Rasch analyses for the BDL showed a good distribution of the task difficulties with neither ceiling nor floor effect among individual measures. There was a significant difference (p = 0.03) in performance of the BDL between the PD group and the healthy reference group.
Conclusions: The BDL Balance Scale can be considered a valid clinical assessment test when evaluating balance training interventions in persons with early PD. It can be recommended as an outcome measure in clinical practice and in clinical research within this population.
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http://dx.doi.org/10.1080/09593985.2017.1318424 | DOI Listing |
Front Public Health
January 2025
Department of Psychology, Kazimierz Wielki University, Bydgoszcz, Poland.
Introduction: The ongoing COVID-19 pandemic, which began in early 2020, and the outbreak of war in Ukraine in 2022 (a country bordering Poland on the east) have significantly impacted the mental health of young people in Poland, leading to increased rates of depression, anxiety, and other mental health issues. The rising number of individuals struggling to cope with daily stressors, as well as non-normative stressors, may indicate a decrease in the individual's potential, specifically in skills, attitudes, and competencies required to overcome difficulties that they encounter. It can be assumed that for young people, maintaining mental health under the influence of social stressors, such as the pandemic and the ongoing war in Ukraine, depends on the ability to adapt positively, which is the ability of young individuals to adjust to situational demands in a way that allows them to effectively manage those situations.
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January 2025
Department of Chemical and Biological Physics, Weizmann Institute of Science Rehovot 761001 Israel
Proteins often harness extensive motions of domains and subunits to promote their function. Deciphering how these movements impact activity is key for understanding life's molecular machinery. The enzyme adenylate kinase is an intriguing example for this relationship; it ensures efficient catalysis by large-scale domain motions that lead to the enclosure of the bound substrates ATP and AMP.
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January 2025
Unité neurovasculaire, Centre Hospitalier Métropole Savoie, Chambéry, France. Electronic address:
Introduction: Prehospital identification of stroke patients with large vessel occlusion (LVO) is crucial to optimize transport to an endovascular thrombectomy (EVT)-capable center. Existing scores require medical or paramedical expertise and specific teachings. We aimed to validate a simple prehospital phone-based score for LVO identification.
View Article and Find Full Text PDFNanotechnology
January 2025
Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali, 140306, INDIA.
This study investigates simple acetylenes substituted with phenylurea as a constant H-bonding unit (Alk-R) and varied hydrophobic units (R = H, Phenyl (Ph), Phenylacetylene (PA), Ph-NMe2) to understand self-assembly properties driven by synergistic non-covalent interactions. Our observations reveal hierarchical self-assembled fibrillar networks with luminescent needles, fibers, and flowers on nano- to micro-meter scales. Subtle changes in substituents led to significant differences: H, Ph, PA, and Ph-NMe2 produced needle-like crystals, dendritic nanofibers, microflakes, and no self-assembly, respectively.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Molecular Pharmacology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with diverse biological molecular networks to predict drug-disease interactions. By incorporating network techniques that leverage vast existing knowledge, the approach enables the extraction of more precise and informative drug features, resulting in the identification of 88,161 drug-disease interactions involving 7,940 drugs and 2,986 diseases.
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