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Ruth Campbell, LCSW Fordham University GSSS

Factors Associated with Frequency of Teen Alcohol Use in 2005: Another Look at School-Based Substance Abuse Prevention. Ruth Campbell, LCSW Fordham University GSSS. Alcohol Use and Teens: Facts. Number one drug problem for youth who suffer ‘life or death’ consequences of alcohol use

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Ruth Campbell, LCSW Fordham University GSSS

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  1. Factors Associated with Frequency of Teen Alcohol Use in 2005: Another Look at School-Based Substance Abuse Prevention Ruth Campbell, LCSW Fordham University GSSS

  2. Alcohol Use and Teens: Facts • Number one drug problem for youth who suffer ‘life or death’ consequences of alcohol use • 47% of high-school seniors currently drinking in 20051 • 19% high-school students binge drinking2 • >8% beginning drivers reported drinking and driving in the past year2 • 1Johnston et al, 2006 • 2SAMHSA, 2006

  3. School-Based Prevention Programs: History • Hypothesis: youth are more receptive to anti-alcohol/drug messages before they begin using @ age 15 • First prevention programs in 60’s based on knowledge acquisition3 • First programs were regarded as successful, knowledge was measured outcome • First prevention program evaluations used no outcome measures of drug use3 • 3Durlak, ‘95

  4. Research Influences on Prevention • Empirical Studies: Refusal Skills, Life Skills4 • Meta-Analyses: Outcome Measures, Delivery Method, Rigor5 • Longitudinal Studies: Protective Factors6, 7 • Descriptive Studies: Finger on the Pulse 1, 2 • DARE evaluations: no significant drug use change 8, 9 • 4Botvin, ’88, ’00 • 5Tobler, ’86, ‘97 • 6Werner, ’05; Olds, ’98 • 1Johnston, et al., ’06; 2 SAMHSA, ’06 • 8Ringwalt, ‘94; 9Perry, ‘03

  5. Why This Study? • Results from analysis of 2005 NSDUH data10 demonstrated significance of the relationship of exposure to prevention messages with youth alcohol use (!) – simple prevalence calculation • A more complex multivariable model, after controlling for demographic and contextual variables, might show a relationship between prevention and alcohol use that would be consistent with findings of research concerning DARE • 10SAMHSA, ’06b

  6. Hypotheses • Hypothesis 1: Degree of disapproval toward alcohol, tobacco, and other drugs is inversely correlated with frequency of alcohol usage. • Hypothesis 2: The number of friends who use alcohol, tobacco and other drugs is positively correlated with frequency of alcohol usage. • Hypothesis 3: Exposure to drug and alcohol prevention messages in school is inversely related to the frequency of alcohol usage. • Hypothesis 4: Greater degree of school engagement is inversely correlated with frequency of alcohol usage. • Demographics of age, gender, ethnicity and contextual factors of having received treatment for problems not related to drugs/alcohol and school attendance were controlled as covariates

  7. PSYCHOSOCIAL FACTORS Degree of disapproval of alcohol/drug use by teen (scale indicator) Number of friends using alcohol, tobacco, or illicit drugs (scale indicator) Exposure to prevention messagesin school (= 1) compared to no exposure Degree of school engagement (scale indicator) *** p < .001 FINAL MODEL B (SE) ***-1.99 .06 *** 1.88 .14 ***-1.92 .66 ***-.51 .12 Table 2. Hierarchical Multiple Regression Analysis of Factors Related to Frequency of Alcohol Use by Teens (N=18678)

  8. Results • Exposure to prevention messages in school and psychosocial factors explained 14% of the variance in frequency of alcohol use by teens • Addition of significant demographic and contextual factors increased explanation of variance only marginally, to 15% • Contradicts research concerning (non)-efficacy of prevention efforts

  9. Implications for Practice • Inclusion of drug/alcohol use outcome measures in prevention programs would help gauge true effectiveness • The results of this study support the idea that school-based exposure to prevention messages is related to decreased frequency of alcohol use by teens • Specifically, factors which affect teen attitudes toward alcohol/drug use, degree of school engagement, and peer influence hold promise for prevention

  10. Implications for Research • Outcome evaluation using modeling yields more insight into complex relationships • Effectiveness of prevention efforts could be enhanced • Target dynamic/malleable factors • Incorporate research-based questions into surveys

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