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Editorial: Promoting health and addressing disparities amongst Indigenous populations.
Front Public Health
December 2024
One Health Research Group, Faculty of Health Science, Universidad de Las Americas, Quito, Ecuador.
One Small Step by the National Institutes of Health Can be a Giant Leap for Persons With Disability.
Mayo Clin Proc Innov Qual Outcomes
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Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL.
The impact of track and field training on dynapenia: gender differences in age-related decline of vertical jump performance among older adults.
Front Aging
December 2024
Sport and Exercise Sciences Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy.
Introduction: Alongside sarcopenia, the age-related loss of muscle strength and power, known as dynapenia, increases the risk of functional disability and mortality in older adults. However, engaging in sporting activities during old age appears to enhance functional capacity. The differences in effects between athletes and sedentary individuals, as well as between genders, have yet to be fully clarified.
View Article and Find Full Text PDFPhysical and psychological symptoms and survey importance in celiac disease.
World J Gastrointest Endosc
December 2024
Celiac Disease Center at Columbia University Medical Center, Columbia University, New York, NY 10032, United States.
Celiac disease is an autoimmune condition that affects approximately 1% of the worldwide community. Originally thought to be confined mostly to the small intestine, resulting in villous atrophy and nutrient malabsorption, it has more recently been implicated in systemic manifestations as well, particularly when undiagnosed or left untreated. Herein, the physical and psychological symptoms of celiac disease are described and explored.
View Article and Find Full Text PDFBackground: Frailty in older adults is linked to increased risks and lower quality of life. Pre-frailty, a condition preceding frailty, is intervenable, but its determinants and assessment are challenging. This study aims to develop and validate an explainable machine learning model for pre-frailty risk assessment among community-dwelling older adults.
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