Background: The number of people living with dementia is forecasted to increase rapidly, particularly in developing and underdeveloped countries. No epidemiological studies of dementia have been reported in Jordan; therefore, the number of people living with dementia and the risk factors are unknown.
Objective: Measure the annual period prevalence of dementia, along with its risk factors in Jordanian hospitalized patients over the age of 50 years.
Methods: The prevalence of dementia was measured using a prospective survey design for over one year. Risk factors were explored using a case-control match design.
Results: The total number of participants in the overall survey was 31,411, and the number of participants included as cases with dementia was 406, the number of matched controls free of dementia was 416. The general annual period prevalence of dementia for people older than 50 years was 1.29%, comprising 406 patients. Multivariate analysis revealed that older age, male gender, family history of dementia, and illiteracy were significant risk factors for dementia.
Conclusion: The prevalence of dementia in Jordan is lower than the global prevalence due to the relatively younger Jordanian population. Results from this study can provide baseline information for policymakers for significant health planning to meet the needs of such a group of patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920585 | PMC |
| http://dx.doi.org/10.2147/IJGM.S299353 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.
Sci Rep
December 2024
School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, 47500, Selangor Darul Ehsan, Malaysia.
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.
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 PDFAssociation of uveitis with pediatric autoimmune diseases based on a TriNetX study.
Sci Rep
December 2024
Department of Ophthalmology, China Medical University Hospital, China Medical University, Taichung, Taiwan.
To investigate for the risk of uveitis among such patients. A retrospective cohort study utilized the TriNetX database and recruited pediatric autoimmune patients diagnosed between January 1st 2004 and December 31st 2022. The non-autoimmune cohort were randomly selected control patients matched by sex, age, and index year.
View Article and Find Full Text PDFTriglyceride to high density lipoprotein cholesterol ratio and major adverse cardiovascular events in ACS patients undergoing PCI.
Sci Rep
December 2024
State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.
The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.
View Article and Find Full Text PDFPrognostic role of aetiological agent vs. clinical pattern in candidates to lead extraction for cardiac implantable electronic device infections.
Sci Rep
December 2024
Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!