Background: Step Test (ST) is frequently used to assess dynamic balance and locomotor function in clinical practice.
Aims: This study aimed to determine the concurrent validity, reliability, and minimal detectable change (MDC) of the ST in patients with total knee arthroplasty (TKA).
Methods: The study included 56 patients with TKA. The intraclass correlation coefficient (ICC) was used to assess the test-retest reliability of the ST. The correlations of the ST with timed up and go (TUG) and 10-m walk test (10MWT) were assessed for concurrent validity.
Results: Test-retest (ICC 0.90) reliability of the ST was determined to be excellent. The SEM and MDC values of test-retest reliability were 0.76 and 2.11, respectively. A significantly moderate correlation was found between the ST and TUG (p < 0.05, r: - 0.69), and 10MWT (p < 0.05, r: - 0.67).
Conclusion: The ST is a valid and reliable method in the assessment of dynamic balance ability and locomotor function in patients with TKA. The ST can be used to quantify changes in dynamic balance level and locomotor function in patients with TKA.
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http://dx.doi.org/10.1007/s11845-021-02888-6 | DOI Listing |
BMC Complement Med Ther
January 2025
Division of Pharmacology and Biopharmaceutical Sciences, Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand.
Background: Plant flavonoids such as quercetin are useful for both the therapeutic and preventive care of a variety of illnesses. Nevertheless, their antitumor efficacy against KON oral cancer is still unknown. Therefore, the aim of this investigation was to examine quercetin's anti-growth, anti-migrative, and anti-invasive characteristics.
View Article and Find Full Text PDFCommun Biol
January 2025
Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Critical to the success of CRISPR-based diagnostic assays is the selection of a diagnostic target highly specific to the organism of interest, a process often requiring iterative cycles of manual selection, optimisation, and redesign. Here we present PathoGD, a bioinformatic pipeline for rapid and high-throughput design of RPA primers and gRNAs for CRISPR-Cas12a-based pathogen detection. PathoGD is fully automated, leverages publicly available sequences and is scalable to large datasets, allowing rapid continuous monitoring and validation of primer/gRNA sets to ensure ongoing assay relevance.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, 4117-13114, Iran.
Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial radionuclides, and radiation generated by human activities. These radionuclides can infiltrate the human body through various pathways, potentially leading to cancer and genetic mutations. A study was conducted using random sampling to assess the concentrations of radioactive isotopes and heavy metals in mineral water from Iran, consumable at Arak City.
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January 2025
Archaea Physiology & Biotechnology Group, Department of Functional and Evolutionary Ecology, University of Vienna, Wien, Austria.
Methanogenic archaea (methanogens) possess fascinating metabolic characteristics, such as the ability to fix molecular nitrogen (N). Methanogens are of biotechnological importance due to the ability to produce methane (CH) from molecular hydrogen (H) and carbon dioxide (CO) and to excrete proteinogenic amino acids. This study focuses on analyzing the link between biological methanogenesis and amino acid excretion under N-fixing conditions.
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January 2025
School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, Serbia.
The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting.
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