Purpose/aim: Although Five Times-Sit-To-Stand test (FTSST) performance is known to be a valid and reliable method in people with chronic stroke, Parkinson's disease, and balance disorder, it has not been widely studied in patients with Multiple sclerosis (MS). The main aim of this study was to evaluate validity and reliability of the FTSST in patients with MS.
Methods: The first outcome measure of the study was the FTSST, which was conducted by two different researchers. Secondary outcome measures were Biodex Stability System (BSS), 10-meter walk test, time up go test (TUG), EDSS scoring, Fatigue Severity Scale (FSS), Barthel Index, Quadriceps Muscle strength test, Functional Reach test. Intraclass correlation coefficient (ICC) was used for the validity and reliability of the FTSST, which was made by two different researchers, and Pearson Correlation Analysis was used to determine its relationship with other measurements.
Results: Interrater and test-retest reliability for the FTSST were excellent (Intraclass correlation coefficients of 0.98 and 0.99, respectively). A statistically significant correlation was found between all secondary outcome measures and FTSST ( < 0.05).
Conclusion: FTSST is considered to be a valid, reliable, easy, and rapid method for evaluating lower extremity muscle strength and balance in patients with MS.
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http://dx.doi.org/10.1080/08990220.2022.2157395 | DOI Listing |
Background: Intrabdominal pressure (IAP) is an important parameter. Elevated IAP can reduce visceral perfusion, lead to intraabdominal hypertension, and result in life-threatening abdominal compartment syndrome. While ingestible capsular devices have been used for various abdominal diagnoses, their application in continuous IAP monitoring remains unproven.
View Article and Find Full Text PDFNat Commun
January 2025
School of Biological Science and Medical Engineering & School of Engineering Medicine, Beihang University, Beijing, China.
Urinary proteomics is emerging as a potent tool for detecting sensitive and non-invasive biomarkers. At present, the comparability of urinary proteomics data across diverse liquid chromatography-mass spectrometry (LC-MS) platforms remains an area that requires investigation. In this study, we conduct a comprehensive evaluation of urinary proteome across multiple LC-MS platforms.
View Article and Find Full Text PDFAppl Nurs Res
February 2025
School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.. Electronic address:
Background: The coronavirus disease 2019 (COVID-19) pandemic rapidly developed around the world. Plenty of health information about the virus was available from multiple media platforms, but such information was not always accurate. Identifying misinformation depends on an individual's health literacy.
View Article and Find Full Text PDFJ Stroke Cerebrovasc Dis
January 2025
Shandong First Medical University, Jinan 250117, Shandong, China; Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng 252000, Shangdong, China. Electronic address:
Background: Previous observational studies have suggested a potential association between heart rate variability (HRV) and cerebrovascular disease. However, a causal relationship between the two has not yet been established.
Aims: The objective of this study was to determine the causal relationship between heart rate variability (HRV) and stroke through a two-sample Mendelian randomization analysis.
JMIR Cardio
January 2025
School of Life Science and Technology, University of Electronic Science and Technology of China, Research Building C348A, 3rd Fl, Chengdu, 611731, China, 86 18030493605.
Background: Hypertension is a leading cause of cardiovascular disease and premature death worldwide, and it puts a heavy burden on the healthcare system. Therefore, it is very important to detect and evaluate hypertension and related cardiovascular events to enable early prevention, detection, and management. Hypertension can be detected in a timely manner with cardiac signals, such as through an electrocardiogram (ECG) and photoplethysmogram (PPG) , which can be observed via wearable sensors.
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