Background: Stay-home orders and the shutdown of university campuses and fitness centers have greatly influenced health behaviors, resulting in a widespread reduction in physical activity. This study aimed to identify factors associated with maintaining physical activity among Jazan University medical students during the COVID-19 shutdown.
Methods: An official Arabic short form of the International Physical Activity Questionnaire was used to assess physical activity before and during the COVID-19 home quarantine. Differences between groups were examined using chi-square analyses and the Mann-Whitney U test. Multinomial logistic regression was used to test whether certain demographic and exercise-related variables were significant predictors of maintaining physical activity levels during the COVID-19 pandemic.
Results: More than half of the participants (53%) reported no change or increased physical activity level. Several factors were significantly related to physical activity heterogeneity including income = 0.04), fitness center membership ( < 0.01), usage of fitness tracker devices < 0.01), and the purchase of physical activity equipment during the COVID-19 pandemic < 0.01). The odds of maintaining physical activity were higher among those who tracked their physical activity (AOR = 6.160; 95% CI = 3.782-10.032, < 0.001). Similarly, the odds of maintaining physical activity were higher among those who purchased home-exercise equipment during the pandemic (AOR = 2.243; 95% CI = 1.386-3.632, = 0.001).
Conclusions: Understanding the factors affecting physical activity behaviors is an essential step toward addressing the reduction in physical activity. This could help maintain physical activity levels during a potential future pandemic-related shutdown.
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http://dx.doi.org/10.3390/ijerph192315752 | DOI Listing |
Biomed Phys Eng Express
January 2025
F. Joseph Halcomb III, MD, Department of Biomedical Engineering, University of Kentucky, 143 Graham Ave., Lexington, Kentucky, 40506, UNITED STATES.
Brain-computer interfaces (BCIs) offer disabled individuals the means to interact with devices by decoding the electroencephalogram (EEG). However, decoding intent in fine motor tasks can be challenging, especially in stroke survivors with cortical lesions. Here, we attempt to decode graded finger extension from the EEG in stroke patients with left-hand paresis and healthy controls.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
January 2025
Sport Medicine Unit, Careggi University Hospital, Via delle Oblate 4, 50134 Florence, Italy.
The study was designed to investigate the pattern of intraventricular Hemo-Dynamic Forces (HDF) and myocardial performance during exercise in Elite Cyclists (EC). Transthoracic stress echocardiography was performed on nineteen EC and thirteen age-matched sedentary controls (SC) at three incremental exercise intensities based on Heart Rate Reserve (HRR). Left Ventricular (LV) HDF were computed from echocardiography long-axis data sets using a novel technique based on endocardial boundary tracking, both in apex-base and latero-septal directions.
View Article and Find Full Text PDFJ Physiol
January 2025
Department of Psychiatry, University of Southern Denmark, Odense C, Denmark.
Background: Adolescents who engage in physical activity experience positive mental health outcomes. However, the increasing prevalence of physical inactivity combined with high screen time use among adolescents is a growing concern. Parents play an important role in shaping adolescents' physical activity and screen time levels through active participation and involvement.
View Article and Find Full Text PDFClin Transplant
January 2025
Department of Pediatric Nephrology and Transplantation, New Children's Hospital, Helsinki University Hospital, Helsinki, Finland and University of Helsinki, Helsinki, Finland.
Background: Physical performance capacity (PPC) of pediatric heart transplant (HT) recipients is reportedly low to normal, and longitudinal follow-up of these patients is recommended. However, no recommendation for a follow-up method is available. In this study, the correlation between the 6-min walk test (6MWT), various clinical parameters, and a physical performance test set was evaluated to develop a simple follow-up tool for PPC.
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