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Full-Text Articles in Medicine and Health Sciences
Association Of Fall-Related Injuries And Different Diagnoses In Older Adults Of Ontario: A Machine Learning Approach, Sorour Rostampour
Association Of Fall-Related Injuries And Different Diagnoses In Older Adults Of Ontario: A Machine Learning Approach, Sorour Rostampour
Electronic Thesis and Dissertation Repository
Falls are the leading cause of injury-related hospitalizations among older adults in Canada. This study aimed to identify the most informative diagnostic categories associated with fall-related injuries (FRIs) using three machine learning algorithms: decision tree, random forest, and extreme gradient boosting tree (XGBoost). Secondary data from two Ontario health administrative databases (NACRS, DAD) covering the period 2006-2015 were analyzed. Older adults (aged ≥ 65 years) who sought treatment for FRIs in emergency departments (ED) or hospitals, as indicated by Canadian version of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10-CA) codes for falls …
The Psychometric Properties Of The Modified Fear Of Falling Avoidance Behavior Questionnaire In Parkinson’S Disease And Older Adults, Billy La, Arturo Aldaco, Ashley Haller
The Psychometric Properties Of The Modified Fear Of Falling Avoidance Behavior Questionnaire In Parkinson’S Disease And Older Adults, Billy La, Arturo Aldaco, Ashley Haller
UNLV Theses, Dissertations, Professional Papers, and Capstones
Background/purpose: The Fear of Falling Avoidance Behavior Questionnaire (FFABQ), developed in 2011 to measure fear of falling avoidance behavior, has good evidence for reliability and validity. However, a recently modified version (mFFABQ) is theorized to be easier to understand for those completing the questionnaire because the Likert responses are more logical in completing the item stem. The purpose of this study was to examine the test-retest reliability and construct validity of the mFFABQ in adults with Parkinson’s Disease (PD) and older adults aged 60-90 years. Methods: Thirty-nine participants (age 72.21 ± 9.5; 29 men, 10 women) diagnosed with PD (diagnosis …
Development Of A Multifactorial Virtual Fall Prevention Tool For Community Dwelling Older Women, Eduardo Gutierrez, Jacob James Nogra, Carol Sparks, Bradley Voels
Development Of A Multifactorial Virtual Fall Prevention Tool For Community Dwelling Older Women, Eduardo Gutierrez, Jacob James Nogra, Carol Sparks, Bradley Voels
UNLV Theses, Dissertations, Professional Papers, and Capstones
Falls are the leading causes of injury-related death in adults over the age of 65, with women sustaining more than twice the rate of fall-related fractures as men. Reduced access to in-person falls prevention programs during the COVID-19 pandemic created a need for a user-friendly guide to existing online fall prevention resources targeted at this vulnerable population. The first aim of this study was to create and make widely available a website with evidence-based resources that address a range of modifiable fall risk factors, and the second was to test its feasibility in a convenience sample of older women. The …