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This study aimed to verify the occurrence of changes in the functional capacity and physical performance of community-dwelling elderly and its determining factors over a two-year period. This is a quantitative, observational and longitudinal household survey conducted in 2014 and 2016, with the participation of 380 elderly from Uberaba, Minas Gerais. The following instruments were used: The Mini-Mental State Examination and questionnaires with sociodemographic/economic, clinical and life habits data. The functional capacity was evaluated through the Katz Index and Lawton-Brody's scale. Physical performance was verified through the Short Physical Performance Battery. A descriptive, bivariate and linear multiple regression analysis was conducted, with a significance level of α < 0.05. The results showed reduced functional capacity for the instrumental activities of daily living and physical performance in a two-year period. The determining factors for both outcomes were age group, occupational activity, and physical activity. Schooling was a specific factor only for the instrumental activities of daily living, and gender and the number of medicines used, for physical performance.
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http://dx.doi.org/10.1590/1413-81232020253.18512018 | DOI Listing |
J Psychosoc Oncol
December 2024
School of Human Kinetics, University of Ottawa, Ottawa, Ontario, Canada.
Purpose: Young adults report challenges concerning cancer--related cognitive impairment (CRCI). This study aimed to: (1) describe cognition in young adults post-cancer treatment using self-report and performance-based measures, and (2) examine associations between cognition and relevant disease-related, psychological, and lifestyle (physical activity; PA) factors.
Methods: Forty-six young adults (M = 31.
Hum Brain Mapp
December 2024
SEB Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada.
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MRI)-based biomarker of cerebral small vessel disease (CSVD). WMH are associated with cognitive decline and increased risk of stroke and dementia, and are commonly observed in aging, vascular cognitive impairment, and neurodegenerative diseases. The reliable and rapid measurement of WMH in large-scale multisite clinical studies with heterogeneous patient populations remains challenging, where the diversity of imaging characteristics across studies adds additional complexity to this task.
View Article and Find Full Text PDFCureus
November 2024
Ali-Ul-Murtaza, Department of Rehabilitation Sciences, Muhammad Institute of Medical and Allied Sciences, Multan, PAK.
Background Given the increasing incidence and severity of knee osteoarthritis (OA), it is crucial to investigate and refine therapeutic approaches. Aim The objective of this study is to evaluate the effectiveness and potential synergistic effects of proprioceptive exercises combined with Mulligan traction straight leg raise (MT-SLR) in treating OA. This includes improving symptoms such as functional mobility, pain reduction, and relevant serological markers, highlighting the potential of this approach to enhance overall patient outcomes.
View Article and Find Full Text PDFCureus
November 2024
Department of Therapeutic Processes, Faculty of Health Sciences, Universidad Católica de Temuco, Temuco, CHL.
Background: Contradictory data are available on the possible association between sarcopenia and other clinical disorders in patients with chronic kidney disease (CKD) undergoing hemodialysis.
Objective: To determine the association between sarcopenia and markers associated with systemic inflammation, fasting glycemia, and quality of life in older people with CKD undergoing hemodialysis.
Methods: This was an analytical cross-sectional study.
Phenomics
October 2024
School of Kinesiology, Shanghai University of Sport, Qingyuanhuan Road, #650, Yangpu District, Shanghai, 200438 China.
Unlabelled: The field of competitive swimming lacks broadly applicable predictive models for talent identification across various age groups of adolescent swimmers. This study aimed to construct a predictive model for athletic talent using machine learning methods based on anthropometric and physiological data. Baseline data were collected from 5444 participants aged 10-18 in Shanghai, China, between 2015 and 2018, with 4969 completing a 3-year follow-up.
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