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Association between physical activity levels and stroke risk among Chinese adults aged 45 and over based on CHARLS.
Sci Rep
December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
View Article and Find Full Text PDFExcessive daytime sleepiness and its predictors among type 2 diabetes mellitus patients at central ethiopia.
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 PDFOperation Polypharmacy: a pharmacist-led ambulatory care clinic design and evaluation for older patients.
Sci Rep
December 2024
Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
The unintended consequences of polypharmacy pose significant risks to older adults. The complexities of managing numerous medications from multiple prescribers demand a comprehensive approach to mitigate harms. Pharmacist-led clinics have been shown to improve outcomes in patients with diabetes and hypertension.
View Article and Find Full Text PDFWeb application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFMortality in Haemophilia Patients in India: A National Cohort Study.
Haemophilia
December 2024
Advanced Center for Oncology, Hematology and Rare Disorders (ACOHRD), K.J. Somaiya Super Speciality Hospital & Research Center, Somaiya Ayurvihar, Sion East, Mumbai, Maharashtra, India.
Introduction: Mortality and morbidity in persons with haemophilia (PWH) have decreased due to improved diagnosis and treatment along with comprehensive population outreach efforts, but the impact is not uniform in different countries.
Aim: The study aims to assess all-cause and intracranial haemorrhage (ICH)-specific mortality of PWH in India.
Methods: This is a retrospective, observational, multi-centric cohort study of 1020 haemophilia patients from three centres in India.
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