In this section
Adolescent issues and concerns
- Adolescent medicine
- Adolescent growth and development
- Cognitive development
- Relationship development
- Adolescent health problems and injuries
- Adolescent mental health
- Healthy lifestyles
- Safety and injury prevention
- Youth rural health interventions toolkit
- Strategic prevention framework
- Needs assessment (SPF Step 1)
- Capacity building- Engaging community stakeholders (SPF Step 2)
- Planning (SPF Step 3)
- Implementation- Putting your plan into action (SPF Step 4)
- Evaluation (SPF Step 5)
TLA Teacher interviews
Two teachers were interviewed for each TLA participant at both the beginning and end of the year. Interviews were semi-structured using the questions listed below in the “TLA-Participant Teacher Interview Guide”. Interviews were recorded, then later transcribed and analyzed as previously described.
The Child/Youth Resilience Measure (CYRM)
The Child/Youth Resilience Measure (CYRM) is a validated self-report measure that assesses resources available to youth that may bolster their resiliency. It has been found to have good reliability and validity with youth (Liebenberg et al, 2012). The CYRM assesses resilience-related resources in 3 broad areas: Individual Capacities/Resources (including personal and social skills and peer support), Relationships with Primary Caregivers (including physical and psychological caregiving), and Contextual Factors Facilitating a Sense of Belonging (including spiritual, educational, and cultural factors).
The CYRM can be freely accessed on the internet.
- Community Tool Box, University of Kansas: Implementing Best Process for Community Change and Improvement
- SAMHSA’s National Registry of Evidence-Based Programs and Practices (NREPP)
- Rural Health Information Hub: Rural Prevention and Treatment of Substance Abuse Toolkit
- Rural Health Information Hub: Topic Guides (List of Resources and Information pertinent to Rural Health)
|Richard Nybaake||Eva Igler|
|Kathy Vacho||Angela Stanley|
|Indianhead Community Action Agency||Medical College of Wisconsin|
Funded in part by the Healthier Wisconsin Partnership Program, a component of the Advancing a Healthier Wisconsin endowment at the Medical College of Wisconsin.
Brown, E. C., Hawkins, J. D., Rhew, I. C., Shapiro, V. B., Abbott, R. D., Arthur, M. W., Briney, J. S., and Catalano, R. F. (2014). Prevention system mediation of the Communities That Care effects on youth outcomes. Prevention Science, 15, 623-632.
Bunnell, R., Israel, A., Apelberg, B., Caraballo, R., King, B., Arrazola, R., Corey, C., Coleman, B., & Dube, S. Intentions to smoke cigarettes among never-smoking U.S. middle and high school electronic cigarette users, National Youth Tobacco Survey, 2011-2013. Nicotine & Tobacco Research. 2014. doi: 10.1093/ntr/ntu166.
Centers for Disease Control and Prevention (CDC). Alcohol-Related Disease Impact (ARDI). Atlanta, GA: CDC.
Centers for Disease Control and Prevention (U.S.). (2010). Tobacco use among middle and high school students—United States, 2000-2009, Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention.
Department of Health and Human Services (DHHS). (2012). Preventing tobacco use among youth and young adults: A report of the surgeon general. Atlanta, GA.
Donovan, John, E. (2004). Adolescent alcohol initiation: A review of psychosocial risk factors. Journal of Adolescent Health, 35, 7-18.
Gfroerer, J. C., Larson, S. L., and Colliver, J. D. (2007). Drug use patterns and trends in rural communities. The Journal of Rural Health, 23, 10-15.
Grant, B.F., and Dawson, D.A. (1998). Age of onset of drug use and its association with DSM-IV drug abuse and dependence: Results from the national longitudinal alcohol epidemiologic survey. Journal of Substance Abuse, 10, 163-173.
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008-1015.
Hamme-Peterson, C., Buser, T. J., and Westburg, N. G. (2010). Effects of familial attachment, social support, involvement, and self-esteem on youth substance use and sexual risk taking. The Family Journal: Counseling and Therapy for Couples and Families, 18(4), 369-376. doi: 10.1177/1066480710380546
Havens, J. R, Young, A. M., and Havens, C. E. (2011). Nonmedical prescription drug use in a nationally representative sample of adolescents. Archives of Pediatric and Adolescent Medicine, 165(3), 250-255. doi 10.1001/archpediatrics.2010.217
Jamal, A., Agaku, I., O’Connor, E., King, B., Kenemer, J., and Neff, L. (2014). Current cigarette smoking among adults—United States, 2005-2013. Morbidity and Mortality Weekly Report, 63(47), 1108-1112.
Kim, B.K. E., Gloppen, K.M., Rhew, I.C., Osterle, S., & Hawkins, J. D. (2015). Effects of the Communities That Care prevention system on youth reports of protective factors. Prevention Science, 16, 652-662. doi: 10.1007/s11121-014-0524-9
Kim, B.K. E., Oesterle, S., Catalano, R. F., and Hawkings J. D. (2015). Change in protective factors across adolescent development. Journal of applied developmental psychology, 40, 26-37. doi: 10.1016/j.appdev.2015.04.006.
Kulbok, P. A., and Cox, C. L. (2002). Dimensions of adolescent health behavior. Journal of Adolescent Health, 31, 393-400.
Liebenberg, L., Ungar, M., and Van de Vijver, F. (2012). Validation of the child and youth resilience measure-28 (CYRM-28) among Canadian youth. Research on Social Work Practice, 22(2), 219-226. doi: 10.1177/1049731511428619
Shapiro, V.B., Oesterle S. & Hawkins J.D. (2015). Relating coalition capacity to the adoption of science-based prevention in communities: Evidence from a randomized trial of Communities that Care. American Journal of Community Psychology, 55(0), 1-12.
Substance Abuse and Mental Health Services Administration, Results from the 2012 National Survey on Drug Use and Health: Summary of National Findings, NSDUH Series H-46, HHS Publication No. (SMA) 13-4795. Rockville, MD: Substance Abuse and Mental Health Services Administration, 2013.
Willis, T.A., Knight, R., Williams, R.J., Pagano, I. & Sargent, J.D. (2015). Risk factors for exclusive e-cigarette use and dual e-cigarette use and tobacco in adolescents. Pediatrics, 135(1), e43-e52.
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