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1.
J Soc Psychol ; 140(5): 615-23, 2000 Oct.
Article in English | MEDLINE | ID: mdl-11059207

ABSTRACT

The authors developed the Smoking Attitudes Scale (SAS) and administered it to 2 samples of U.S. students who were smokers or nonsmokers. Exploratory and confirmatory factor analysis with LISREL (K. G. Jöreskog & D. Sörbom, 1989) methodology revealed that the SAS consists of 4 factors. The overall instrument possesses good internal consistency and adequate construct validity as well.


Subject(s)
Attitude , Personality Tests/statistics & numerical data , Smoking/psychology , Adult , Female , Humans , Male , Psychometrics , Reproducibility of Results , Smoking/adverse effects , Students/psychology , United States
2.
Clin Pharmacol Ther ; 38(5): 572-8, 1985 Nov.
Article in English | MEDLINE | ID: mdl-3902318

ABSTRACT

The urinary excretion patterns of 86 chronic cannabis users were examined after their last cannabis use by two common screening methods, the semiquantitative EMIT-d.a.u. and the qualitative EMIT-st (Syva Company). We demonstrated that under very strictly supervised abstinence, chronic users can have positive results for cannabinoids in urine at 20 ng/ml or above on the EMIT-d.a.u. assay for as many as 46 consecutive days from admission, and can take as many as 77 days to drop below the cutoff calibrator for 10 consecutive days. For all subjects, the mean excretion time was 27 days. Subject excretion patterns were clearly biphasic, with initial higher rates of excretion not sustained. During the subsequent period of leveling off, most subjects had one or more separate sequences of cannabinoid-negative urine test results, lasting a mean of 3 days each and followed by at least one positive result. Demographic, body type, and drug history variables proved to be only moderate predictors of excretion patterns. Findings were discussed in the context of potential clinical and forensic application.


Subject(s)
Cannabinoids/urine , Marijuana Abuse/urine , Adolescent , Adult , Female , Humans , Immunoenzyme Techniques , Male , Regression Analysis , Time Factors
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