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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. Multinomial Logistic Regression.
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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
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.
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)
Dependent Variable • 25 was determined as cutoff point • Below = “Fallers” • Above = “Nonfallers”
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
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
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…
Multivariate Analysis • * p<.05 • **p<.001
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
Sources • American Association on Intellectual and Developmental Disabilities • G. Rodriguez, Multinomial Response Models, Chapter 6