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Urinary Incontinence Is an Independent Risk Factor for Nursing Home Placement Among Assisted Living Residents.
J Am Med Dir Assoc
January 2025
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Objectives: Prior studies suggested that urinary incontinence (UI) may be a risk factor for nursing home (NH) placement among older community-dwelling individuals. Our objectives were to evaluate if UI is an independent risk factor in NH placement among assisted living (AL) residents and assess the impact of UI on NH placement by race/ethnicity.
Design: This retrospective cohort study is based on the 2019-2021 Medicare enrollment and claims data.
A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests.
PLoS One
January 2025
School of Exercise and Health, Shenyang Sport University, Shenyang, China.
Balance is crucial for various athletic tasks, and accurately assessing balance ability among elite athletes using simple and accessible measurement methods is a significant challenge in sports science. A common approach to balance assessment involves recording center of pressure (CoP) displacements using force platforms, with various indicators proposed to distinguish subtle balance differences. However, these indicators have not reached a consensus, and it remains unclear whether these analyses alone can fully explain the complex interactions of postural control.
View Article and Find Full Text PDFIntroduction: Knowing the magnitude and preventable risk factors of diabetes has a significant contribution in targeted prevention intervention which ultimately ensures the existence of healthier and productive individuals in a country. Diabetes has untoward impact on health, social and economic consequences. Exploring preventable risk factors are extremely important because of their potential association and interaction with diabetes.
View Article and Find Full Text PDFISLRWR: A network diffusion algorithm for drug-target interactions prediction.
PLoS One
January 2025
Shanghai Xinhao Information Technology Co., Ltd., Shanghai, China.
Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). We applied the metropolis-hasting random walk (MHRW) algorithm to improve the performance of the random walk with restart (RWR) algorithm, forming the basis by which the self-loop probability of the current node is removed.
View Article and Find Full Text PDFAssociation of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011-2014.
Eur J Med Res
January 2025
The Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Background: The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.
Methods: We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets.
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