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Prevention Science
Published in: Prevention Science 2/2011

01-06-2011

The Minnesota Adolescent Community Cohort Study: Design and Baseline Results

Authors: Jean Forster, Vincent Chen, Cheryl Perry, John Oswald, Michael Willmorth

Published in: Prevention Science | Issue 2/2011

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Abstract

The Minnesota Adolescent Community Cohort (MACC) Study is a population-based, longitudinal study that enrolled 3,636 youth from Minnesota and 605 youth from comparison states ages 12 to 16 years in 2000–2001. Participants have been surveyed by telephone semi-annually about their tobacco-related attitudes and behaviors. The goals of the study are to evaluate the effects of the Minnesota Youth Tobacco Prevention Initiative and its shutdown on youth smoking patterns, and to better define the patterns of development of tobacco use in adolescents. A multilevel sample was constructed representing individuals, local jurisdictions and the entire state, and data are collected to characterize each of these levels. This paper presents the details of the multilevel study design. We also provide baseline information about MACC participants including demographics and tobacco-related attitudes and behaviors. This paper describes variability in smoking prevalence and demographic characteristics for local units, and compares MACC participants to the state as a whole.
Literature
Abroms, L., Simons-Morton, B., Haynie, D. L., & Chen, R. (2005). Psychosocial predictors of smoking trajectories during middle and high school. Addiction, 100, 852–861.PubMedCrossRef
Alesci, N. L., Forster, J. L., & Erickson, D. J. (2009). Did youth smoking behaviors change before and after the shutdown of Minnesota Youth Tobacco Prevention Initiative? Nicotine & Tobacco Research, 11, 1196–1204.CrossRef
Basch, C. E., Sliepcevich, E. M., Gold, R. S., Duncan, D. F., & Kolbe, L. J. (1985). Avoiding type III errors in health education program evaluations: A case study. Health Education Quarterly, 12, 315–331.PubMed
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. Hoboken, NJ: Wiley-Interscience.
Botvin, G. J., & Griffin, K. W. (2007). School-based programmes to prevent alcohol, tobacco and other drug use. International Review of Psychiatry, 19, 607–615.PubMedCrossRef
Burke, J. D., Loeber, R., White, H. R., Stouthamer-Loeber, M., & Pardini, D. A. (2007). Inattention as a key predictor of tobacco use in adolescence. Journal of Abnormal Psychology, 116, 249–259.PubMedCrossRef
Campaign for Tobacco-Free Kids. (2007). A broken promise to our children: The 1998 state tobacco settlement nine years later. Washington, DC.
Celebucki, C., Biener, L., & Koh, H. K. (1998). Evaluation: Methods and strategy for evaluation—Massachusetts. Cancer, 83, 2760–2765.PubMedCrossRef
Centers for Disease Control and Prevention. (2008). Cigarette smoking among adults–United States, 2007. MMWR—Morbidity & Mortality Weekly Report, 57, 1121–1226.
Chassin, L., Presson, C. C., Rose, J. S., & Sherman, S. J. (1996). The natural history of cigarette smoking from adolescence to adulthood: Demographic predictors of continuity and change. Health Psychology, 15, 478–484.PubMedCrossRef
Chen, P. H., White, H. R., & Pandina, R. J. (2001). Predictors of smoking cessation from adolescence into young adulthood. Addictive Behaviors, 26, 517–529.PubMedCrossRef
Choi, W. S., Gilpin, E. A., Farkas, A. J., & Pierce, J. P. (2001). Determining the probability of future smoking among adolescents. Addiction, 96, 313–323.PubMedCrossRef
Choi, W. S., Pierce, J. P., Gilpin, E. A., Farkas, A. J., & Berry, C. C. (1997). Which adolescent experimenters progress to established smoking in the United States. American Journal of Preventive Medicine, 13, 385–391.PubMed
Dell, J. L., Whitman, S., Shah, A. M., Silva, A., & Ansell, D. (2005). Smoking in 6 diverse Chicago communities—a population study. American Journal of Public Health, 95, 1036–1042.PubMedCrossRef
Dent, C. W., Sussman, S. Y., & Stacy, A. W. (1997). The impact of a written parental consent policy on estimates from a school-based drug use survey. Evaluation Review, 21, 698–712.PubMedCrossRef
DiFranza, J. R., Rigotti, N. A., McNeill, A. D., Ockene, J. A., Savageau, J. A., St. Cyr, D., et al. (2000). Initial symptoms of nicotine dependence in adolescents. Tobacco Control, 9, 313–319.PubMedCrossRef
Field, A. E., Austin, S. B., Frazier, A. L., Gillman, M. W., Camargo, C. A., Jr., & Colditz, G. A. (2002). Smoking, getting drunk, and engaging in bulimic behaviors: In which order are the behaviors adopted? Journal of the American Academy of Child and Adolescent Psychiatry, 41, 846–853.PubMedCrossRef
Flay, B. R., Hu, F. B., & Richardson, J. (1998). Psychosocial predictors of different stages of cigarette smoking among high school students. Preventive Medicine, 27, A9–A18.PubMedCrossRef
Gans, J. E., & Brindis, C. D. (1995). Choice of research setting in understanding adolescent health problems. The Journal of Adolescent Health, 17, 306–313.PubMedCrossRef
Griesler, P. C., Kandel, D. B., & Davies, M. (2002). Ethnic differences in predictors of initiation and persistence of adolescent cigarette smoking in the National Longitudinal Survey of Youth. Nicotine & Tobacco Research, 4, 79–93.CrossRef
Grimshaw, G. M., & Stanton, A. (2006). Tobacco cessation interventions for young people. Cochrane Database of Systematic Reviews, 4, CD003289.
Juon, H. S., Ensminger, M. E., & Sydnor, K. D. (2002). A longitudinal study of developmental trajectories to young adult cigarette smoking. Drug and Alcohol Dependence, 66, 303–314.PubMedCrossRef
Karp, I., O’Loughlin, J., Paradis, G., Hanley, J., & Difranza, J. (2005). Smoking trajectories of adolescent novice smokers in a longitudinal study of tobacco use. Annals of Epidemiology, 15, 445–452.PubMedCrossRef
Klein, E. G., Forster, J. L., Erickson, D. J., Lytle, L. A., & Schillo, B. (2009). The relationship between local clean indoor air policies and smoking behaviours in Minnesota youth. Tobacco Control, 18, 132–137.PubMedCrossRef
Lazovich, D., Forster, J. L., Widome, R., & Van Coevering, P. (2007). Tobacco possession, use, and purchase laws and penalties in Minnesota: Enforcement, tobacco diversion programs, and youth awareness. Nicotine & Tobacco Research, 9, S57–S64.CrossRef
Lenk, K. M., Chen, V., Bernat, D., Forster, J. L., & Rode, P. (2009). Characterizing and comparing young adult intermittent and daily smokers. Substance Use and Misuse, 44, 2128–2140.
Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrics, 73, 13–22.CrossRef
Liang, L., Chaloupka, F., Nichter, M., & Clayton, R. (2003). Prices, policies and youth smoking, May 2001. Addiction, 98, 105–122.PubMedCrossRef
Lynch, B. S., & Bonnie, R. J. (Eds.). (1994). Growing up tobacco free: Preventing nicotine addiction in children and youths. Washington, DC: National Academy Press.
Mayhew, K. P., Flay, B. R., & Mott, J. A. (2000). Stages in the development of adolescent smoking. Drug and Alcohol Dependence, 59, S61–S81.PubMedCrossRef
Minnesota House of Representatives. (1999). Minnesota’s tobacco settlement. St. Paul: Minnesota State Legislature.
Moore, J. M., & Bjornson, W. (1998). Evaluation: Methods and strategy for evaluation—Oregon. Cancer, 83, 2770–2772.PubMedCrossRef
Murray, D. M., Hannan, P. J., Wolfinger, R. D., Baker, W. L., & Dwyer, J. H. (1998). Analysis of data from group-randomized trials with repeat observations on the same groups. Statistics in Medicine, 17, 1581–1600.PubMedCrossRef
Murray, D. M., Pals, S. L., Blitstein, J. L., Alfano, C. M., & Lehman, J. (2008). Design and analysis of group-randomized trials in cancer: A review of current practices. Journal of the National Cancer Institute, 100, 483–491.PubMedCrossRef
National Cancer Institute. (1998). Tobacco research implementation plan: Priorities for tobacco research beyond the year 2000. Bethesda, MD: National Cancer Institute, Tobacco Research Implementation Group.
Pierce, J. P., Choi, W. S., Gilpin, E. A., Farkas, A. J., & Merritt, R. K. (1996). Validation of susceptibility as a predictor of which adolescents take up smoking in the United States. Health Psychology, 15, 355–361.PubMedCrossRef
Pirie, P. L., Stone, E. J., Assaf, A. R., Flora, J. A., & Maschewsky-Schneider, U. (1994). Program evaluation strategies for community-based health promotion programs: Perspectives from the cardiovascular disease community research and demonstration studies. Health Education Research, 9, 23–36.PubMedCrossRef
Prokhorov, A. V., Warneke, C., de Moor, C., Emmons, K. M., Mullin Jones, M., Rosenblum, C., et al. (2003). Self-reported health status, health vulnerability, and smoking behavior in college students: Implications for intervention. Nicotine & Tobacco Research, 5, 545–552.CrossRef
Ross, H., Chaloupka, F. J., & Wakefield, M. (2006). Youth smoking uptake progress: Price and public policy effects. Eastern Economic Journal, 32, 355–367.
Scheirer, M. A. (1987). Program theory and implementation theory: Implications for evaluators. In L. Bickman (Ed.), New directions for program evaluation, using program theory in evaluation (pp. 59–76). San Francisco, CA: Jossey Bass.
Skara, S., & Sussman, S. (2003). A review of 25 long-term adolescent tobacco and other drug use prevention program evaluations. Preventive Medicine, 37, 451–474.PubMedCrossRef
Sorensen, G., Emmons, K., Hunt, M. K., & Johnston, D. (1998). Implications of the results of community intervention trials. Annual Review of Public Health, 19, 379–416.PubMedCrossRef
Substance Abuse & Mental Health Services Administration (SAMHSA). (2008). Results from the 2007 National Survey on Drug Use & Health: National findings. Rockville, MD: US Department of Health and Human Services.
Thomas, R., & Perera, R. (2006). School-based programmes for preventing smoking. Cochrane Database of Systematic Reviews, 3, CD001293.
Toomey, T. L., Chen, V., Bernat, D. H., Forster, J. L., & Rode, P. (2009). Do cigarette prices vary by brand, neighborhood, and store characteristics? Public Health Reports, 124, 535–540.PubMed
US Department of Health and Human Services. (1994). Preventing tobacco use among young people: A report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.
Van De Ven, M. O., Greenwood, P. A., Engels, R. C., Olsson, C. A., & Patton, C. C. (2010). Patterns of adolescent smoking and later nicotine dependence in young adults: A 10-year prospective study. Public Health, 124, 65–70.CrossRef
Voorhees, C. C., Schreiber, G. B., Schumann, B. C., Biro, F., & Crawford, P. B. (2002). Early predictors of daily smoking in young women: The National Heart, Lung, and Blood Institute Growth and Health Study. Preventive Medicine, 34, 616–624.PubMedCrossRef
Ward, K. D., Vander Weg, M. W., Kovach, K. W., Klesges, R. C., DeBon, M. W., Haddock, C. K., et al. (2002). Ethnic and gender differences in smoking and smoking cessation in a population of young adult air force recruits. American Journal of Health Promotion, 16, 259–266.PubMed
Widome, R., Forster, J. L., Hannan, P. J., & Perry, C. L. (2007). Longitudinal patterns of youth access to cigarettes and smoking progression: Minnesota Adolescent Community Cohort (MACC) study (2000–2003). Preventive Medicine, 45, 442–446.PubMedCrossRef
Metadata
Title
The Minnesota Adolescent Community Cohort Study: Design and Baseline Results
Authors
Jean Forster
Vincent Chen
Cheryl Perry
John Oswald
Michael Willmorth
Publication date
01-06-2011
Publisher
Springer US
Published in
Prevention Science / Issue 2/2011
Print ISSN: 1389-4986
Electronic ISSN: 1573-6695
DOI
https://doi.org/10.1007/s11121-011-0205-x

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