1 / 11

Risk of fall for individuals with intellectual disability

This journal article presented by Dave Bertleff from Youngstown State University examines the risk factors for falls in adults with intellectual disabilities. The study uses multinomial logistic regression to analyze the relationships between various independent variables and the risk of falling. The results indicate that age, epilepsy, and paretic conditions are significant risk factors for falls in this population.

shawmichelle
Download Presentation

Risk of fall for individuals with intellectual disability

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Risk of fall for individuals with intellectual disability A journal article from the American Association on Intellectual and Developmental Disabilities Presented by Dave Bertleff Youngstown State University

  2. Multinomial Logistic Regression • Goal: To identify risk factors for falling in adults with intellectual disabilities. • Method: Use multinomial logistic regression to compare relationships between a non-metric dependent variable and metric or dichotomous independent variables. • Will compare groups through a combination of binary logistic regressions.

  3. Dependent Variable • The scale used to assess risk of fall in elderly persons with intellectual disabilities for this study and several others is called the Tinetti Instrument: • Balance test – 9 items (max score 16) • Gait test – 7 items (max score 12)

  4. Dependent Variable • 25 was determined as cutoff point • Below = “Fallers” • Above = “Nonfallers”

  5. Data • Data was then gathered from medical records regarding IQ, complicated conditions, and medications of the participants • Univariate analysis to determine ability to predict risk of fall • Then, variables with sig. levels < .05 entered into multivariate analysis

  6. Univariate Analysis

  7. Univariate Analysis • Stratification of the participants based on presence or absence of epilepsy eliminated impact of anticonvulsants on the risk of fall • Variables to be used in multivariate analysis: • Age • Epilepsy • Paretic conditions

  8. Multivariate Analysis • Multinomial Logistic Regression used with Faller/Nonfaller as the dependent variable • In SPSS, the “Factors” box is where the dichotomous variables, epilepsy and paretic conditions, are placed • The “Covariates” box is where the metric variable age is placed • Running the regression gave the following results…

  9. Multivariate Analysis • * p<.05 • **p<.001

  10. Analysis • All three are independent risk factors for falls in adults with intellectual disabilities • Data shows risk of fall increases by 1.06n times over n years. (n=12 >> 2 times) • Presence of paretic conditions was most evident risk factor

  11. Sources • American Association on Intellectual and Developmental Disabilities • G. Rodriguez, Multinomial Response Models, Chapter 6

More Related