OBJECTIVE: To compare nicotine-dependent smokers identified by the modified Fagerström Tolerance Questionnaire (mFTQ) and a scale based on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), in a multiethnic adolescent sample. METHODS: A school survey was conducted on 6th- to 10th-grade students (N=15,007) in a large urban public school system. RESULTS: The two scales formed two distinct factors. The concordance between the two classifications of nicotine dependence was low. The DSM identified a much larger number of nicotine-dependent smokers than the mFTQ, mostly because smokers met dependence criteria at much lower levels of cigarettes consumed, especially when they were depressed. Rates of dependence were higher among whites than minority-group members, especially African Americans. Control for level of cigarette consumption attenuated or eliminated ethnic differences. CONCLUSIONS: This investigation provides some understanding of youths defined as dependent by each scale but cannot by itself indicate which scale better measures dependence. Differences in dependence rates among ethnic groups are accounted for mostly by quantity of cigarettes smoked.
OBJECTIVE: To compare nicotine-dependent smokers identified by the modified Fagerström Tolerance Questionnaire (mFTQ) and a scale based on the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), in a multiethnic adolescent sample. METHODS: A school survey was conducted on 6th- to 10th-grade students (N=15,007) in a large urban public school system. RESULTS: The two scales formed two distinct factors. The concordance between the two classifications of nicotine dependence was low. The DSM identified a much larger number of nicotine-dependent smokers than the mFTQ, mostly because smokers met dependence criteria at much lower levels of cigarettes consumed, especially when they were depressed. Rates of dependence were higher among whites than minority-group members, especially African Americans. Control for level of cigarette consumption attenuated or eliminated ethnic differences. CONCLUSIONS: This investigation provides some understanding of youths defined as dependent by each scale but cannot by itself indicate which scale better measures dependence. Differences in dependence rates among ethnic groups are accounted for mostly by quantity of cigarettes smoked.
Authors: Kenneth D Gadow; Joyce Sprafkin; Gabrielle A Carlson; Jayne Schneider; Edith E Nolan; Richard E Mattison; Victoria Rundberg-Rivera Journal: J Am Acad Child Adolesc Psychiatry Date: 2002-06 Impact factor: 8.829
Authors: Eric T Moolchan; Aleksandras Radzius; David H Epstein; George Uhl; David A Gorelick; Jean Lud Cadet; Jack E Henningfield Journal: Addict Behav Date: 2002 Jan-Feb Impact factor: 3.913
Authors: Timothy E Wilens; Michael Vitulano; Himanshu Upadhyaya; Joel Adamson; Tiffany Parcell; Diana Westerberg; Joseph Biederman Journal: Am J Addict Date: 2008 Nov-Dec
Authors: Marloes Kleinjan; Frank Vitaro; Brigitte Wanner; Johannes Brug; Regina J J M Van den Eijnden; Rutger C M E Engels Journal: BMC Public Health Date: 2012-03-16 Impact factor: 3.295