Effectiveness of an exercise program designed for improving postural control and mobility in older adults with type 2 diabetes was investigated. Ninety-three adults 65 or older diagnosed with type 2 diabetes and able to walk unaided were recruited. The intervention group received exercise training focused on ankle strengthening and mobility twice per week for 10 weeks. The control group did not participate in any exercise program. After 10 weeks, the intervention group showed significantly greater improvement in the mean Sensory Organization Test composite score (4.4 vs. 0.3; p = 0.01) as well as visual ratio (0.1 vs. 0.002; p = 0.01) and vestibular ratio (0.1 vs. 0.003; p < 0.001) than the control group after adjusting for covariates. A greater trend of improvement in the Timed Up and Go and Single-Leg Stance Test was also found in the intervention group. Exercise training focusing on the ankle is effective in enhancing the postural stability of older adults with type 2 diabetes and can potentially be effective in improving single-leg standing balance and mobility. [Journal of Gerontological Nursing, 44(2), 41-48.].
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3928/00989134-20171002-04 | DOI Listing |
Sci Rep
December 2024
Department of Pediatrics and Child Health Nursing, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Excessive daytime sleepiness is a common finding among type 2 diabetes mellitus patients. However there is scarce data that shows the magnitude of excessive daytime sleepiness, & its association with type 2 diabetes mellitus. Hence, the study aimed to assess the prevalence of excessive daytime sleepiness and its associated factors among type 2 diabetes mellitus patients at Wolkite University Specialized Hospital.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX, USA.
Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation.
View Article and Find Full Text PDFNutr Diabetes
December 2024
Department of International Medical, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.
Background: Diabetes mellitus (DM) and arthritis are prevalent conditions worldwide. The intricate relationship between these two conditions, especially in the context of various subtypes of arthritis, remains a topic of interest.
Objective: To investigate the relationship between diabetes and arthritis, with a focus on Rheumatoid Arthritis (RA), using data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian Randomization (MR) analysis.
J Biomed Mater Res B Appl Biomater
January 2025
Department of Surgery, Anesthesiology and Radiology, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt.
IntroductionProlonged hyperglycemia in diabetic patients often impairs wound healing, leading to chronic infections and complications. This study aimed to evaluate the potential of fresh Tilapia fish skin as a treatment to enhance wound healing in diabetic rats. MethodsThirty-nine healthy adult albino rats, weighing between 150 and 200 g, were divided into three groups: non-diabetic rats with untreated wounds [C-], diabetic rats with untreated wounds [C+], and diabetic rats treated with fresh Tilapia skin [TT].
View Article and Find Full Text PDFIndian J Med Res
November 2024
Department of Pediatrics, University of Alabama at Birmingham, Division of Pediatric Endocrinology and Diabetes, Alabama, 35233, United States.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!