The 2006 Louisiana Caring Communities Youth Survey Administered by the DHH, Office for Addictive Dis

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The 2006 Louisiana Caring Communities Youth
SurveyAdministered by the DHH, Office for
Addictive Disorders and the Louisiana Department
of EducationPresentation byEdward Ho,
PhDBach Harrison LLC
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The 2006 CCYS Survey Stats

• A total of 106,357 students completed the CCYS
  (from 745 Schools)
• CCYS conducted every other year in the Fall
• Fifth statewide administration of the survey
  (1998, 2001spring, 2002, 2004 2006)
• 66 school districts participated in 2006

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How do I use the Caring Communities Youth Survey?

• The survey provides information about the use of
  alcohol, tobacco and other drugs (ATODs),
  antisocial behavior, and levels of 25 risk factor
  and 13 protective factor scales.
• Substance use and risk and protective factor data
  are important for use in data driven prevention
  planning.
• Survey information can be used to plan and
  evaluate prevention programs at the state,
  county, school district, school, and community
  level.
• Examples Safe and Drug Free Communities Grants,
• Title IV, Safe and Drug Free Schools
• Analysis provides percentage of students at risk

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Evaluate and Monitor Programs
Conduct a Needs Assessment
Prevention Planning Using the Risk and Protective
Factor Model
Select and Implement Prevention Programs
Identify Areas High in Risk and Low in Protection
Conduct a Community Resource Assessment
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The CCYS Survey is based upon the Risk and
Protective Factor Model of Substance Abuse
Prevention.

• There is a link between Risk and Protective
  Factors and youth problem behavior. Youth high in
  risk or low in protection are more likely to
  engage in problem behaviors.
• Risk and protective factors are intermediate
  outcomes (indicators) of future youth problem
  behavior.

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Adolescent Problem Behaviors
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Adolescent Problem Behaviors
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Adolescent Problem Behaviors
Used by permission of Developmental Research and
Programs
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Adolescent Problem Behaviors
Used by permission of Developmental Research and
Programs
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Risk Factor Scales

• Community Domain
• Low neighborhood attachment
• Community disorganization
• Transitions and mobility
• Laws and norms favorable toward drug use
• Perceived availability of drugs
• Perceived availability of guns
• Family Domain
• Poor family management
• Family conflict
• Family history of antisocial behavior
• Parental attitudes favorable toward drugs
• Parental attitudes favorable toward antisocial
  behavior

• School Domain
• Academic failure
• Low commitment to school
• Peer/Individual Domain
• Rebelliousness
• Early initiation of antisocial behavior
• Early initiation of drug use
• Attitudes favorable toward drug use
• Perceived risks of drug use
• Interaction with antisocial peers
• Friends who use drugs
• Rewards for antisocial behavior
• Depressive symptoms
• Gang involvement
• Intentions to use drugs

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Protective Factor Scales

• School Domain
• Opportunities for prosocial involvement at school
• Rewards for prosocial involvement at school
• Peer/Individual Domain
• Religiosity
• Social skills
• Belief in the moral order
• Interaction with prosocial peers
• Prosocial involvement
• Perceived rewards for prosocial involvement

• Community Domain
• Opportunities for prosocial involvement in the
  community
• Rewards for prosocial involvement in the
  community
• Family Domain
• Family attachment
• Opportunities for prosocial involvement in the
  family
• Rewards for prosocial involvement in the family

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Substance Use Measures

• Lifetime and 30 Day Use
• Alcohol
• Cigarettes
• Chewing Tobacco
• Marijuana
• Inhalants
• Hallucinogens
• Cocaine
• Stimulants (includes meth)
• Heroin
• Sedatives
• Ecstasy

• Heavy Use
• Binge Drinking (5 drinks or more in a row)
• ½ Pack Cigarettes per Day or more

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Antisocial Behavior Measures

• How many times in the past year?
• Suspended from school
• Drunk or high at school
• Sold illegal drugs
• Stolen a vehicle
• Been arrested
• Attacked to harm
• Carried a handgun
• Brought a handgun to school

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Gambling Measures

• How often during the past 12 months have you?
• Types of gambling
• Gambled at a casino
• Played the lottery or scratch-off tickets
• Bet on sporting events
• Played cards for money
• Bet money on horse races
• Played bingo for money or prizes
• Gambled on the internet
• Bet on video poker or other gambling machines
• Bet on dice games such as craps
• Bet on games of personal skill, such as pool,
  darts, or bowling

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Contents of the CCYS Profile Report

• 1) Introduction and description of participants
  (grade, gender, ethnicity)
• 2) How to Read the Charts (Substance use,
  Antisocial behavior, Gambling, Risk, Protection)
• 3) Charts for grades 6, 8, 10, and 12
• 4) Information about risk and protective factors,
  No child left behind, using PNA survey data
• 5) Tools for assessment and planning
• 6) Risk and protective factor scale definitions
• 7) Data Tables (numbers for chart information)
• 8) Contacts for Prevention

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Reports Available to Public

• -Reports available via the internet through
  The Office for Addictive Disorders at
• http//ccd-web.louisiana.edu/EvaluationandResearc
  hProjects/
• Evaluation/OAD/CCYS2006/tabid/103/Default.a
  spx
• -Reports available at Parish (school
  district) level, DHH Region level, LDE Region
  Level and State level

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Prevalence of 30 Day Marijuana Use By Number of
Risk and Protective Factors
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Validity of PNASurvey Data

• Pre-tested the questionnaire to ensure that
  students understood the meaning of each
  question.
• Use a well developed and tested administration
  protocol.
• Read the same instructions to all students who
  participated in the survey.
• Stress the confidentiality of the survey through
  the instructions and the administration
  procedures. For example, students were told that
  no one would see their answers and that there was
  no way that a survey could be traced back to an
  individual student.

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Data Validity Checks

• Students are eliminated if they meet any of the
  following Criteria
• Indicated that they were Not Honest At All in
  completing the survey
• Indicated that they had used a non-existent drug
• (e.g., derbisol) in their lifetime, in the past
  30 days, or if they indicated an age of first
  using the substance
• Reported an impossibly high level of drug use
• Indicated past-month use rates that were higher
  than lifetime use rates
• Reported an age that was inconsistent with their
  grade or their school

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Evaluate and Monitor Programs
Conduct a Needs Assessment
Prevention Planning Using the Risk and Protective
Factor Model
Select and Implement Prevention Programs
Identify Areas High in Risk and Low in Protection
Conduct a Community Resource Assessment
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CSAPs 7-Step Prevention Planning Model
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Selecting and Implementing Prevention Programs

• Use survey data to determine the areas of highest
  risk and lowest protection (Needs Assessment)
• Conduct a Community Resource Assessment and do a
  gap analysis
• Identify programs/interventions that address the
  needs of the community identified by the data
• WestCAPT website (www.westcapt.org) To be
  launched model programs website (SAMHSA)
  (http//www.nrepp.samhsa.gov)
• Implement the programs with fidelity to core
  components
• Evaluate and monitor the prevention programs

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WestCAPT Best Practice Website
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NREPP Website
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Strategic Prevention Framework for Prevention
Planning and Implementation
Assess needs, resources, and readiness
Sustainability Cultural Competence
Monitor and evaluate effectiveness
Mobilize and/or build capacity to address needs
Implement evidence-based prevention activities
Develop a Comprehensive Strategic Plan
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SPF Outcomes Based Prevention
Causal Factors (Risk/Protect Factors)
Substance-Related Problems (Consumption
Consequence)
Strategies (Policies, Practices, Programs)
Strategic Prevention Framework Planning,
Monitoring, Evaluation and Replanning
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SPF Outcomes Based Prevention
Risk/Causal Factors Alcohol easily available to
teens Teens perceive little risk in alcohol
consumption
Strategies Social host laws Alcohol Retailer
Interventions Teen education program
Problem Underage Drinking Alcohol MV Crashes
Ages 16-20
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