Accession Number : ADA315810
Title : Stronger Health Through Abuse Reduction and Prevention (SHARP) Program: Predictive Ability of the History Opinion Inventory-Revised (HOI-R).
Descriptive Note : Final rept. for May 96,
Corporate Author : ARMSTRONG LAB BROOKS AFB TX
Personal Author(s) : Lombard, David N. ; Chao, Susan ; Fiedler, Edna
PDF Url : ADA315810
Report Date : SEP 1996
Pagination or Media Count : 35
Abstract : This study evaluated the History Opinion Inventory-Revised (HOI-R), currently given to all incoming recruits in basic military training, for its ability to predict future substance abuse events. There were 63,074 valid data records in the HOI-R questionnaire files, all of which were used in the exploratory factor analysis. Of these 63,074 records, only 19,306 passed the inclusion criteria for further logistic regression analysis. Factor analysis confirmed a seven factor model similar to the original ten factor model upon which the HOI-R was based. Multivariate regression analysis indicated the most significant predictors (in order) of subsequent substance abuse events were: extroversion, high school performance, marital status, gender and age. Although regression analysis suggested a good prediction model, a classification table for the obtained prediction model suggested it was of little practical use. The model had a very high false-positive rate and would identify too many recruits for treatment who would not require it, therefore wasting much time and money. Although the obtained prediction model was not of applied use, the information obtained in this preliminary study suggested several research directions, including the creation of a new, unique substance abuse prediction tool, to be validated with Air Force recruits.
Descriptors : *REGRESSION ANALYSIS, *MILITARY TRAINING, *MEDICAL SERVICES, *PREVENTIVE MEDICINE, *ALCOHOLISM, *DRUG ABUSE, AIR FORCE, SCHOOLS, PREDICTIONS, MODELS, SECONDARY, MULTIVARIATE ANALYSIS, CLASSIFICATION, LOGISTICS, TABLES(DATA), RECORDS, RECRUITS, FACTOR ANALYSIS.
Subject Categories : Sociology and Law
Medicine and Medical Research
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE