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FIELD ACTION REPORT |
The authors are with the Office of Drug Abuse Intervention Studies, West Virginia University, Morgantown, WVa. Kimberly A. Horn and Geri A. Dino are also with the Department of Community Medicine and the Prevention Research Center, West Virginia University, Morgantown, WVa.
Correspondence: Requests for reprints should be sent to Kimberly A. Horn, EdD, Office of Drug Abuse Intervention Studies, West Virginia University, PO Box 9190, Morgantown, WV 26505 (e-mail: khorn{at}hsc.wvu.edu).
| ABSTRACT |
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High school smokers from 2 central Appalachian states received the American Lung Associations 10-session Not On Tobacco (N-O-T) program or a 15-minute brief self-help intervention. Our study compared the efficacy of N-O-T with that of the brief intervention by examining group differences in the 15-month-postbaseline (12-month-postprogram) smoking quit rates.
N-O-T youths had higher overall quit rates. Review of end-of-program (3-month-postbaseline) and 3-month-postprogram (6-month-postbaseline) follow-up data showed state-level differences and positive cessation trends over time, regardless of treatment intensity. Quit rates were lower than rates found in other N-O-T studies of nonrural youths, suggesting that Appalachian youths are a recalcitrant smoking sample. Findings suggest that N-O-T is one option for long-term smoking cessation among rural teens.
| INTRODUCTION |
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Little is known about smoking cessation in this vulnerable subpopulation, especially regarding cessation maintenance over time. To address this gap, this report provides long-term follow-up data for 14- to 19-year-olds who participated in the American Lung Associations Not On Tobacco (N-O-T) program. High school smokers from 2 central Appalachian states, West Virginia and North Carolina, received either the 10-session N-O-T program or a 15-minute brief self-help intervention (BI). The investigations aim was to compare the efficacy of N-O-T with that of the BI by examining group differences in the 15-month-postbaseline (12-month-postprogram) smoking quit rates.
| PROGRAM DESCRIPTION |
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West Virginia and North Carolina school selection factors included (1) type of community in the school locale (e.g., rural or rural/suburban), (2) student population size, (3) studentteacher ratio, (4) geographic location, (5) economic status of the community or county of the school locale (e.g., above or below poverty levels, percentage of students receiving free or reduced school lunches), and (6) racial/ethnic composition. Additionally, all schools were located within the federally identified central Appalachian region. In sum, 20 West Virginia and North Carolina public schools were selected for recruiting and enrolling youths in the study. The youth recruitment period was between 3 and 6 weeks.710
The total recruited baseline sample included 258 youths. The West Virginia program had 136 youths: 63 in the 5 N-O-T schools and 73 in 5 BI schools. There were 122 youths in the North Carolina program: 61 in the 5 N-O-T schools and 61 in 5 BI schools. Most youths were White (93.4%). The mean age was 16 years; 56% were females. Participants had been smoking for about 5 years. Mean daily cigarette use was over a half a pack on weekdays (mean = 13.32) and a pack a day on weekends (mean = 19.38). The youths were also highly addicted to nicotine as measured by the Fagerstrom Tolerance Questionnaire (modified).10,11
N-O-T PROGRAM HIGHLIGHTS
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Measurement
At the 3- and 6-month measurements (i.e., at the end of the program and 3 months after the program), participants who responded no to the question "Are you currently smoking?" and had carbon monoxide readings of less than 9 ppm were considered quitters.5,7 Quitting assumed at least 24-hour abstinence. At the 3- and 6-month observations, however, data documenting days of continuous abstinence also were collected. Importantly, across the 3-month and 6-month observations, there was high agreement between self-report and carbon monoxidevalidated quit rates (3-month observation:
= 1, P = .000; 6-month observation:
= 1, P = .000). Therefore, there was a 15-month follow-up conducted via telephone interviews in which carbon monoxide readings were not collected.
| DISCUSSION AND EVALUATION |
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Determination of Quit Rates
Approximately 50% (n = 129) of the youths were available at the 15-month follow-up. Using the intent-to-treat sample (number of youths who quit/total sample),
2 was used to compare the quit rates for N-O-T and BI participants8 (Table 1
). Intent-to-treat analysis assumed that all youths who were unavailable for contact had relapsed or never quit. Among quitters, the number of days since last cigarette was strikingly different for the 2 groups at the end of the program: 1.33 (SD = 0.58) for the BI group and 16.8 (SD = 23.66) for the N-O-T group. Three months later, the mean number of days since last cigarette was 39.20 (SD = 81.56) and 33.30 (SD = 66.71) for the BI and N-O-T groups, respectively.
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Conservatively, intent-to-treat analyses showed that 11% of N-O-T youths had quit at the 15-month follow-upassuming that all youths who were unavailable for contact had relapsed or never quit. Interestingly, compliant sample analyses (i.e., number of youths who quit/total sample available at follow-up) showed that 22% of N-O-T youths reported quitting. As has been argued in previous research, intent-to-treat analyses may not be as appropriate for teen smoking cessation as it is for adult clinical trials.4,5,8 The reasons that youths are unavailable for follow-up (e.g., relocation or graduation) may be beyond their control and unrelated to smoking or relapse. Sussman1 reports that the mean end-of-program quit rate for school-based programs is 12%, and roughly 14% across all types of cessation programs.
| NEXT STEPS |
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Given high smoking rates and possibly greater difficulty with cessation, it may be necessary to tailor programs such as N-O-T to make them more consistent with the unique life experiences of rural youths. Cessation programs tailored for rural youths may need to consider topics such as tobacco-growing economies, favorable tobacco environments, favorable norms about use, geographic isolation and lack of access to services, cultural and traditional values and customs, poverty, and stress and coping. Future research should examine the consequences of simultaneously operating tobacco prevention or cessation programs at school, county, and state levels. In addition, tobacco-related economic and political climates should be assessed, especially in rural tobacco growing areas.13
| KEY FINDINGS |
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| Acknowledgments |
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Appreciation is extended to Dr Steve Sussman, University of Southern California, for his preliminary review of this report. Acknowledgment also is given to Tim McGloin of the University of North CarolinaChapel Hill, who facilitated study implementation in North Carolina.
Human Participant Protection
All participants provided signed parental consent and participant assent forms prior to study enrollment.
| Footnotes |
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Accepted for publication October 10, 2003.
| References |
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2. Mayhew KP, Flay BR, Mott JA. Stages in the development of adolescent smoking. Drug Alcohol Depend. 2000; 59:S61S81.
3. Centers for Disease Control and Prevention. Youth risk behavior surveillance summariesUnited States, 1999. MMWR Morb Mortal Wkly Rep. 2000; 49(SS-5):196.[Medline]
4. Horn K, Dino G, Gao X, Momani A. Feasibility evaluation of Not On Tobacco: The American Lung Associations new stop smoking programme for adolescents. Health Educ. 1999;99: 192206.
5. Dino GA, Horn KA, Goldcamp J, Kemp-Rye L, Westrate S, Monaco K. Teen smoking cessation: making it work through school and community partnerships. J Public Health Manag Pract. 2001;7:7180.[Medline]
6. Dino G, Horn K, Zedosky L, Monaco K. A positive response to teen smoking: why N-O-T? Natl Assoc Secondary Sch Principals Bull. 1998; 82:4658.
7. Dino GA, Horn KA, Goldcamp J, Maniar SD, Fernandes AW, Massey CJ. A gender sensitive teen smoking cessation program. J Sch Nurs. 2001;17:9097.[Medline]
8. Dino G, Horn K, Goldcamp J, Fernandes A, Kalsekar I, Massey CJ. A 2-year efficacy study of Not On Tobacco in Florida: an overview of program successes in changing teen smoking behavior. Prev Med. 2001;33:600605.[Medline]
9. Massey C, Dino G, Horn K, Lacey-McCracken A, Goldcamp J, Kalsekar I. (2003). School-based teen smoking cessation programs: recruitment issues in research. J Sch Health. 2003;73:5863.[Medline]
10. Horn K, Dino G, Kalsekar I, Massey CJ, Manzo-Tennant K, McGloin T. Exploring the relationship between mental health and smoking cessation: a study of rural teens. Prev Sci. In press.
11. Horn K, Fernandes A, Dino G, Kalsekar I, Massey C. Adolescent nicotine dependence and smoking cessation outcomes. Addict Behav. 2003;28:769776.[Medline]
12. National Association of Attorney Generals. NAAG Projects: Tobacco. Master Settlement Agreement and Amendments. Available at http://www.naag.org/issues/tobacco/index.php?sdpid=919. Accessed January 8, 2003.
13. Noland MP. Tobacco prevention in tobacco-raising areas: lessons from the lions den. J Sch Health. 1996;66:266 269.[Medline]
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