A FACTOR ANALYTIC STUDY OF THE ITEMS OF THE "DYSKINESIA IDENTIFICATION SYSTEM--COLDWATER" (TARDIVE).
Contributors: University Of Illinois At Chicago, Health Sciences Center.
Published: 1985
Number of pages: 249
Subjects: Health Sciences, Nursing.
Description: Tardive dyskinesia (TD) is a syndrome of involuntary movements in humans and infrahuman organisms associated with prolonged neuroleptic exposure. Controversy persists in the medical and experimental literature about the existence of the syndrome, its etiology, demography, and prevalence among discrete populations. Identification and description of the syndrome have been hampered by the lack of appropriate measurement methodologies for its assessment. Indeed, little systematic work assessing the measurement properties of the currently used instruments exists. The purpose of the present investigation was (1) construct validation of the Dyskinesia Identification System--Coldwater (DIS-Co) utilizing an exploratory factor analytic methodology; and (2) exploration of the relationship of certain demographic variables to the absolute scores obtained on the DIS-Co using multiple regression and TOBIT analysis.

The DIS-Co contains 34 items assessing 10 body areas and employs an ordinal level rating methodology. Point prevalence assessment data of 519 institutionalized mentally retarded persons were utilized. Both a varimax orthogonal and oblique solution for two to six factors were employed. The six factor orthogonal solution was selected for its unidimensional factor characteristics. Twenty-one items related to 7 body areas were selected, based on factor loadings, for inclusion in an abbreviated instrument. Factor analysis of these data using only the 21 selected items supported the original six factor orthogonal solution. A stepwise multiple regression procedure was then utilized to determine the independent variables which explained the greatest variance in the dependent variables (total score of the DIS-Co, total score of the abbreviated DIS-Co, and total score of the DIS-Co with drug history considered). Age, sex, length of hospitalization, Down's syndrome, and ability to ambulate accounted for less than 5% of the variance in the first two dependent variables and less than 9% in the latter dependent variable. Drug history alone accounted for 28.4% of the variance of the last dependent variable. A TOBIT analysis estimated the regression coefficients for these equations. The relationships described by these coefficients were consistent with those suggested by the literature. However, for this discrete population, these independent variables (excepting drug history) may have limited predictive value.
Notes: Source: Dissertation Abstracts International, Volume: 47-01, Section: B, page: 0131.

Thesis (PH.D.)--UNIVERSITY OF ILLINOIS AT CHICAGO, HEALTH SCIENCES CENTER, 1985.

School code: 0806.