- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01088542
The Community Youth Development Study: A Test of Communities That Care (CYDS IV)
The Interplay of Social, Normative, and Legal Marijuana Environments and Marijuana and ATOD Use From Late Childhood to Young Adulthood
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Preventing alcohol, tobacco, and other drug use; delinquency; violence; and health-risking sexual behavior among adolescents is a national priority. While advances in prevention science over the past two decades have produced a growing list of tested and effective programs and policies for preventing these behaviors, widespread dissemination and high-quality implementation of these effective programs and policies in communities has not been achieved. The development and testing of approaches for translating prevention research findings into effective community prevention service systems with long-term impact is important to achieving reductions in the prevalence of adolescent health and behavior problems that are sustained into adulthood.
The Community Youth Development Study (CYDS) is a community-randomized trial of the effects of Communities That Care (CTC) on community prevention systems and adolescent risk, protection, and behavioral health outcomes. The current continuation study is evaluating the long-term effects of CTC on a panel of 4,407 young adults at ages 21 and 23 who have been surveyed regularly since the trial started when they were in grade 5.
CTC is a prevention planning and capacity building system for improving behavioral health problems among youth community-wide. CTC guides communities to implement with fidelity and monitor the results of effective prevention programs that address community-specific elevated risk factors and depressed protective factors and reduce problem behavior. The CTC system is hypothesized first to produce improvements in key characteristics of community prevention service systems, which, in turn, reduce community levels of risk, increase protective factors, and lower rates of youth problem behaviors.
The CYDS communities were matched in pairs within state, on population size, racial and ethnic diversity, economic indicators, and crime rates. One community from each matched pair was assigned randomly by a coin toss to either the intervention or control condition. Starting in 2003, intervention communities received training, technical assistance, and materials and funding needed to install the CTC prevention system in years 2-5 (2004-2008), hire a community coordinator, and implement 2-5 tested preventive interventions. Selected interventions addressed local prevention priorities established by communities after reviewing local epidemiological data on youth risk factors, protective factors and problem behaviors. Control communities received no training or technical assistance from the study. Technical assistance and study-provided funding to intervention communities ended after 5 years.
The initial CYDS trial (2003-2008) evaluated the efficacy of CTC in reducing levels of risk, increasing levels of protection, and reducing levels of drug use and other problem behaviors in adolescents from Grades 5 through 9. It also tested the effects of CTC on prevention service system transformation (e.g., increases in a science-based approach to prevention, collaboration among prevention service organizations, support for prevention, community norms against drug use and delinquency, and use of the Social Development Strategy to guide interactions with youth) as reported by key community leaders and members of CTC coalitions.
The first continuation study (2009-2013) assessed the effects of installation and implementation of CTC when panel youth were in Grades 10 through Age 19. During this period, panel youth passed through high school, the developmental period of greatest risk for delinquent and violent behavior, and a period of greatly increasing substance use and problems related to substance use. The study evaluated the long-term effects of CTC on adolescent and young adult risk and problem behaviors, including primary outcomes of substance use and abuse, delinquency, crime, and violence. It also evaluated the sustainability of the CTC prevention system without the study-provided funding and support that were offered during the implementation of CTC in the 12 intervention communities during the initial efficacy trial.
The second continuation study (2013-2017) investigated the long-term effects of CTC on young adult substance use and misuse, crime, violence, and incarceration 11 and 13 years following CTC's initial installation. It also evaluated possible effects on a number of secondary outcomes salient in young adulthood, including HIV/AIDS sexual risk behavior, depression and suicidality, anxiety and other mental health disorders, and educational attainment. Panel youth were surveyed twice during the study, at ages 21 and 23.
The third continuation study (2018-2023) further investigates the long-term effects of CTC on the study's primary outcomes of substance use and misuse, crime, violence, and incarceration 16 and 18 years after CTC was installed in intervention communities. As in the prior continuation, it will also evaluate possible long-term effects on salient secondary outcomes, including HIV/AIDS sexual risk behavior, depression and suicidality, anxiety and other mental health disorders, and educational attainment. Another major aim of this study is to examine the normative and legal environment around marijuana use in the U.S., which is becoming more permissive, raising concern that it will increase youth and young adult marijuana and other drug use and associated negative consequences including addiction. Understanding how marijuana use norms and behaviors in multiple social contexts (e.g., peer, family, and community) interact with the legal marijuana context and impact drug use behavior from age 11 to 28 will assist in the identification of malleable targets for interventions and public health approaches to prevent the possible negative outcomes of increasing permissiveness towards marijuana use. Panel participants will be surveyed twice, at ages 26 and 28.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Washington
-
Seattle, Washington, United States, 98115
- University of Washington
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Resident at baseline in one of the 24 participating communities
- Student in the Class of 2011 panel sample or in grades 6, 8, 10, or 12 during a survey year
- Community leader or prevention service provider in one of the participating communities
Exclusion Criteria:
- Unable to read and comprehend consent materials and/or survey questions in either english or spanish
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: No intervention
Communities in the no intervention arm received no intervention from the project and continued to implement prevention services as usual.
|
|
|
Experimental: Communities That Care Intervention
Communities randomly assigned to the experimental condition received 5 years of training and technical assistance (from 2003 to 2008) to implement the Communities That Care (CTC) prevention system in their communities.
They also received 5 years of funding to support a full-time community coordinator and 4 years of seed money to implement tested and effective prevention programs selected as a result of their CTC process.
|
The Communities That Care (CTC) system provides communities training and ongoing technical assistance in a structured process for conducting prevention needs assessments using epidemiological data on levels of risk and protective factors for adolescent problem behaviors, selection of tested and effective preventive interventions shown to address community-prioritized factors, implementation of these interventions with fidelity, and evaluation of the community's progress toward its goals.
The CTC system is designed to produce a plan for prevention services that is tailored to the needs of each community.
CTC is installed in five phases through a manualized series of training events designed to build the capacity of communities to install and sustain the system over time.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Targeted risk and protective factors, substance use, delinquency, violence
Time Frame: Baseline through thirteen-year follow-up (age 23)
|
Surveys of the panel starting in 5th grade (2004) and continuing in grades 6-10, grade 12, and at ages 19, 21, and 23 are used to assess the impact of the intervention on risk and protective factors targeted by communities, substance use, delinquency, and violence.
Cross-sectional surveys of all youth in grades 6, 8, 10, and 12 in all participating communities, conducted every 2 years from 2002 through 2012, are also used to assess the impact of the intervention on these primary outcomes.
|
Baseline through thirteen-year follow-up (age 23)
|
|
CTC coalition functioning, prevention system transformation, evidence-based program (EBP) implementation
Time Frame: Baseline through eight-year follow-up (age 18)
|
Structured telephone interviews with key community leaders, CTC coalition members, and prevention services providers (Community Key Informant Survey, Coalition Board Interview, Community Resource Documentation Survey) conducted in 2001-02, 2004-05, 2007-08, 2009-10, and 2011-12 are used to assess intervention effects on CTC coalition functioning, prevention system transformation, and evidence-based prevention program implementation.
|
Baseline through eight-year follow-up (age 18)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Substance use disorder, depression and generalized anxiety disorder, sexual risk behavior
Time Frame: Nine- through thirteen-year follow-up
|
Secondary outcomes salient in late adolescence and young adulthood were added to the self-report longitudinal survey beginning at the nine-year follow-up (age 19).
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Nine- through thirteen-year follow-up
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Margaret Kuklinski, Ph.D., University of Washington
- Principal Investigator: Sabrina Oesterle, Ph.D., University of Arizona
Publications and helpful links
General Publications
- Oesterle S, Kuklinski MR, Hawkins JD, Skinner ML, Guttmannova K, Rhew IC. Long-Term Effects of the Communities That Care Trial on Substance Use, Antisocial Behavior, and Violence Through Age 21 Years. Am J Public Health. 2018 May;108(5):659-665. doi: 10.2105/AJPH.2018.304320. Epub 2018 Mar 22.
- Rhew IC, Oesterle S, Coffman D, Hawkins JD. Effects of Exposure to the Communities That Care Prevention System on Youth Problem Behaviors in a Community-Randomized Trial: Employing an Inverse Probability Weighting Approach. Eval Health Prof. 2018 Jun;41(2):270-289. doi: 10.1177/0163278718759397. Epub 2018 Feb 20.
- Oesterle S, Hawkins JD, Kuklinski MR, Fagan AA, Fleming C, Rhew IC, Brown EC, Abbott RD, Catalano RF. Effects of Communities That Care on Males' and Females' Drug Use and Delinquency 9 Years After Baseline in a Community-Randomized Trial. Am J Community Psychol. 2015 Dec;56(3-4):217-28. doi: 10.1007/s10464-015-9749-4.
- Rhew IC, Hawkins JD, Murray DM, Fagan AA, Oesterle S, Abbott RD, Catalano RF. Evaluation of Community-Level Effects of Communities That Care on Adolescent Drug Use and Delinquency Using a Repeated Cross-Sectional Design. Prev Sci. 2016 Feb;17(2):177-87. doi: 10.1007/s11121-015-0613-4.
- Gloppen KM, Brown EC, Wagenaar BH, Hawkins JD, Rhew IC, Oesterle S. Sustaining Adoption of Science-based Prevention Through Communities That Care. J Community Psychol. 2016 Jan;44(1):78-89. doi: 10.1002/jcop.21743. Epub 2015 Dec 18. No abstract available.
- Kim BK, Gloppen KM, Rhew IC, Oesterle S, Hawkins JD. Effects of the communities that care prevention system on youth reports of protective factors. Prev Sci. 2015 Jul;16(5):652-62. doi: 10.1007/s11121-014-0524-9.
- Kim BK, Oesterle S, Hawkins JD, Shapiro VB. Assessing Sustained Effects of Communities That Care on Youth Protective Factors. J Soc Social Work Res. 2015 Winter;6(4):565-589. doi: 10.1086/684163. Epub 2015 Oct 6.
- Kuklinski MR, Fagan AA, Hawkins JD, Briney JS, Catalano RF. Benefit-Cost Analysis of a Randomized Evaluation of Communities That Care: Monetizing Intervention Effects on the Initiation of Delinquency and Substance Use Through Grade 12. J Exp Criminol. 2015 Jun 1;11(2):165-192. doi: 10.1007/s11292-014-9226-3.
- Shapiro VB, Hawkins JD, Oesterle S. Building Local Infrastructure for Community Adoption of Science-Based Prevention: The Role of Coalition Functioning. Prev Sci. 2015 Nov;16(8):1136-46. doi: 10.1007/s11121-015-0562-y.
- Shapiro VB, Oesterle S, Hawkins JD. Relating coalition capacity to the adoption of science-based prevention in communities: evidence from a randomized trial of Communities That Care. Am J Community Psychol. 2015 Mar;55(1-2):1-12. doi: 10.1007/s10464-014-9684-9.
- Brown EC, Hawkins JD, Rhew IC, Shapiro VB, Abbott RD, Oesterle S, Arthur MW, Briney JS, Catalano RF. Prevention system mediation of communities that care effects on youth outcomes. Prev Sci. 2014 Oct;15(5):623-32. doi: 10.1007/s11121-013-0413-7.
- Hawkins JD, Oesterle S, Brown EC, Abbott RD, Catalano RF. Youth problem behaviors 8 years after implementing the communities that care prevention system: a community-randomized trial. JAMA Pediatr. 2014 Feb;168(2):122-9. doi: 10.1001/jamapediatrics.2013.4009.
- Oesterle S, Hawkins JD, Fagan AA, Abbott RD, Catalano RF. Variation in the sustained effects of the communities that care prevention system on adolescent smoking, delinquency, and violence. Prev Sci. 2014 Apr;15(2):138-145. doi: 10.1007/s11121-013-0365-y.
- Kuklinski MR, Hawkins JD, Plotnick RD, Abbott RD, Reid CK. How has the economic downturn affected communities and implementation of science-based prevention in the randomized trial of communities that care? Am J Community Psychol. 2013 Jun;51(3-4):370-84. doi: 10.1007/s10464-012-9557-z.
- Monahan KC, Hawkins JD, Abbott RD. The application of meta-analysis within a matched-pair randomized control trial: an illustration testing the effects of communities that care on delinquent behavior. Prev Sci. 2013 Feb;14(1):1-12. doi: 10.1007/s11121-012-0298-x.
- Rhew IC, Brown EC, Hawkins JD, Briney JS. Sustained effects of the Communities That Care system on prevention service system transformation. Am J Public Health. 2013 Mar;103(3):529-35. doi: 10.2105/AJPH.2011.300567. Epub 2012 Jun 21.
- Shapiro VB, Hawkins JD, Oesterle S, Monahan KC, Brown EC, Arthur MW. Variation in the Effect of Communities That Care on Community Adoption of a Scientific Approach to Prevention. J Soc Social Work Res. 2013 Aug 20;4(3):10.5243/jsswr.2013.10. doi: 10.5243/jsswr.2013.10.
- Steketee M, Oesterle S, Jonkman H, Hawkins JD, Haggerty KP, Aussems C. Transforming prevention systems in the United States and the Netherlands using Communities That Care Promising prevention in the eyes of Josine Junger-Tas. Eur J Crim Pol Res. 2013 Jun 1;19(2):99-116. doi: 10.1007/s10610-012-9194-y.
- Fagan AA, Hanson K, Briney JS, David Hawkins J. Sustaining the utilization and high quality implementation of tested and effective prevention programs using the communities that care prevention system. Am J Community Psychol. 2012 Jun;49(3-4):365-77. doi: 10.1007/s10464-011-9463-9.
- Gloppen KM, Arthur MW, Hawkins JD, Shapiro VB. Sustainability of the Communities That Care prevention system by coalitions participating in the Community Youth Development Study. J Adolesc Health. 2012 Sep;51(3):259-64. doi: 10.1016/j.jadohealth.2011.12.018. Epub 2012 Mar 3.
- Hawkins JD, Oesterle S, Brown EC, Monahan KC, Abbott RD, Arthur MW, Catalano RF. Sustained decreases in risk exposure and youth problem behaviors after installation of the Communities That Care prevention system in a randomized trial. Arch Pediatr Adolesc Med. 2012 Feb;166(2):141-8. doi: 10.1001/archpediatrics.2011.183. Epub 2011 Oct 3.
- Kuklinski MR, Briney JS, Hawkins JD, Catalano RF. Cost-benefit analysis of communities that care outcomes at eighth grade. Prev Sci. 2012 Apr;13(2):150-61. doi: 10.1007/s11121-011-0259-9.
- Brown EC, Hawkins JD, Arthur MW, Briney JS, Fagan AA. Prevention Service System Transformation Using Communities That Care. J Community Psychol. 2011 Mar 1;39(2):183-201. doi: 10.1002/jcop.20426.
- Fagan AA, Arthur MW, Hanson K, Briney JS, Hawkins JD. Effects of Communities That Care on the adoption and implementation fidelity of evidence-based prevention programs in communities: results from a randomized controlled trial. Prev Sci. 2011 Sep;12(3):223-34. doi: 10.1007/s11121-011-0226-5.
- Oesterle S, Hawkins JD, Fagan AA, Abbott RD, Catalano RF. Testing the universality of the effects of the communities that care prevention system for preventing adolescent drug use and delinquency. Prev Sci. 2010 Dec;11(4):411-23. doi: 10.1007/s11121-010-0178-1. Erratum In: Prev Sci. 2010 Dec;11(4):424.
- Brown EC, Graham JW, Hawkins JD, Arthur MW, Baldwin MM, Oesterle S, Briney JS, Catalano RF, Abbott RD. Design and analysis of the Community Youth Development Study longitudinal cohort sample. Eval Rev. 2009 Aug;33(4):311-34. doi: 10.1177/0193841X09337356. Epub 2009 Jun 9.
- Fagan AA, Hanson K, Hawkins JD, Arthur M. Translational Research in Action: Implementation of the Communities That Care Prevention System in 12 Communities. J Community Psychol. 2009 Sep;37(7):809-829. doi: 10.1002/jcop.20332.
- Hawkins JD, Oesterle S, Brown EC, Arthur MW, Abbott RD, Fagan AA, Catalano RF. Results of a type 2 translational research trial to prevent adolescent drug use and delinquency: a test of Communities That Care. Arch Pediatr Adolesc Med. 2009 Sep;163(9):789-98. doi: 10.1001/archpediatrics.2009.141.
- Fagan AA, Hanson K, Hawkins JD, Arthur MW. Implementing effective community-based prevention programs in the Community Youth Development Study. Youth Violence and Juvenile Justice 6(3):256-278, 2008.
- Fagan AA, Hanson K, Hawkins JD, Arthur MW. Bridging science to practice: achieving prevention program implementation fidelity in the community youth development study. Am J Community Psychol. 2008 Jun;41(3-4):235-49. doi: 10.1007/s10464-008-9176-x.
- Hawkins JD, Brown EC, Oesterle S, Arthur MW, Abbott RD, Catalano RF. Early effects of Communities That Care on targeted risks and initiation of delinquent behavior and substance use. J Adolesc Health. 2008 Jul;43(1):15-22. doi: 10.1016/j.jadohealth.2008.01.022. Epub 2008 Apr 18.
- Hawkins JD, Catalano RF, Arthur MW, Egan E, Brown EC, Abbott RD, Murray DM. Testing communities that care: the rationale, design and behavioral baseline equivalence of the community youth development study. Prev Sci. 2008 Sep;9(3):178-90. doi: 10.1007/s11121-008-0092-y. Epub 2008 May 31.
- Quinby RK, Fagan AA, Hanson K, Brooke-Weiss B, Arthur MW, Hawkins JD. Installing the Communities That Care prevention system: Implementation progress and fidelity in a randomized controlled trial. Journal of Community Psychology 36(3):313-332, 2008.
- Brown EC, Hawkins JD, Arthur MW, Briney JS, Abbott RD. Effects of Communities That Care on prevention services systems: findings from the community youth development study at 1.5 years. Prev Sci. 2007 Sep;8(3):180-91. doi: 10.1007/s11121-007-0068-3. Epub 2007 Jun 30.
- Van Horn ML, Fagan AA, Hawkins JD, Oesterle S. Effects of the Communities That Care system on cross-sectional profiles of adolescent substance use and delinquency. Am J Prev Med. 2014 Aug;47(2):188-97. doi: 10.1016/j.amepre.2014.04.004. Epub 2014 Jun 27.
- Guttmannova K, Oesterle S, Skinner ML, Kuklinski MR, Hultgren B, Rhew IC, Parker M, Briney JS, White HR. Substance-Specific Risk Factors among Young Adults: Potential Prevention Targets across Cannabis-Permissive Environments. Subst Use Misuse. 2022;57(13):1923-1930. doi: 10.1080/10826084.2022.2120363. Epub 2022 Sep 24.
- Pandika D, Bailey JA, Oesterle S, Kuklinski MR. Young adult opioid misuse indicates a general tendency toward substance use and is strongly predicted by general substance use risk. Drug Alcohol Depend. 2022 Jun 1;235:109442. doi: 10.1016/j.drugalcdep.2022.109442. Epub 2022 Apr 6.
- Arthur MW, Hawkins JD, Brown EC, Briney JS, Oesterle S; Social Development Research Group; Abbott RD. Implementation of the Communities That Care Prevention System by Coalitions in the Community Youth Development Study. J Community Psychol. 2010 Mar;38(2):245-258. doi: 10.1002/jcop.20362.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY00000692
- R01DA044522 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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