Unlabelled: Adults with Down syndrome are an underserved population at high risk for a host of different pathologies from aging and lack of activity.
Purpose: To examine the effects of a 10-week resistance training program on measures of motor behavior, cognitive function, mood, and physical fitness.
Methods: Participants ( = 11) were men and women clinically diagnosed with Down syndrome (age: 25.8 ± 6.4 years; height: 151.5 ± 8.3 cm; weight: 67.5 ± 13.0 kg; IQ: 58.3 ± 19.7 units). After familiarization of testing procedures, subjects performed The Arizona Cognitive Test Battery for Down Syndrome, TGMD-2, lower and upper body strength assessments, and body composition via DXA testing, while parental guardians completed cognitive and mood survey assessments (Cognitive Scale for Down Syndrome, Behavioral Rating Inventory of Executive Function, NiSonger Child Behavior Rating Form, Scales of Independent Behavior-Revised, Child Eating Behavior Questionnaire, Social Communication Questionnaire, and Mood and Feelings Questionnaire) at pre and post 10 weeks of periodized resistance training.
Results: Significant ( ≤ 0.05) improvements in locomotor skills and object control skills were observed post-training. Both locomotor skills (e.g., sprint, gallop, leaping, broad jump) and object control skills (e.g., baseball catch, underhand roll, basketball dribble) were all significantly improved. Facets of cognitive performance significantly improved, specifically executive function and visuospatial working memory capacity, and frontal lobe activity. Mood disturbances significantly decrease. All aspects of physical strength and endurance were improved, i.e., leg press, bench press, sit-ups, push-ups, and chair sit-to-stand post-training. Lean tissue mass was significantly increased post-training.
Conclusion: This study dramatically demonstrates that life enhancements for individuals with Down syndrome are achievable with a properly designed resistance training program.
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http://dx.doi.org/10.3389/fresc.2022.927629 | DOI Listing |
Infect Dis Clin Microbiol
December 2024
Department of Infectious Diseases and Clinical Microbiology, İstanbul University-Cerrahpaşa Cerrahpaşa School of Medicine, İstanbul, Türkiye.
spp. are ubiquitous, and people are frequently exposed to their spores in the environment and hospital settings. Despite frequent inhalation of the spores, infection is infrequent in humans, except in immunosuppressed hosts.
View Article and Find Full Text PDFPhysiol Mol Biol Plants
December 2024
Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India.
Alanine aminotransferase (AlaAT) is a crucial enzyme present in various isoforms. It is playing vital role in both humans and plants. This concise review focuses on the role of AlaAT in plants, particularly on preharvest sprouting, hypoxia, nitrogen use efficiency, abiotic and biotic stress tolerance.
View Article and Find Full Text PDFBest Pract Res Clin Rheumatol
December 2024
Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Electronic address:
Rheumatoid arthritis (RA) is a chronic, systemic inflammatory disease affecting a significant portion of the global population. Despite advancements in pharmacological treatments, the management of RA remains complex, particularly in regard to comorbidities such as cardiovascular disease and osteoporosis. Physiotherapy (PT) and occupational therapy (OT) are non-pharmacological approaches that play a critical role in the management of RA.
View Article and Find Full Text PDFJ Nutr Health Aging
December 2024
Faculty of Medicine and Health, School of Health Sciences and Sydney Medical School, University of Sydney, New South Wales, Australia, and Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States.
J Infect
December 2024
Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK; Oxford University Hospitals NHS Foundation Trust, Oxford, UK. Electronic address:
Background: Patients with Gram-negative bloodstream infections are at risk of serious adverse outcomes without active treatment, but identifying who has antimicrobial resistance (AMR) to target empirical treatment is challenging.
Methods: We used XGBoost machine learning models to predict antimicrobial resistance to seven antibiotics in patients with Enterobacterales bloodstream infection. Models were trained using hospital and community data from Oxfordshire, UK, for patients with positive blood cultures between 01-January-2017 and 31-December-2021.
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