A cognitive-behavioral approach to substance abuse prevention

Botvin, Gilbert J.; Baker, Eli; Renick, Nancy L.; Filazzola, Anne D.; Botvin, Elizabeth M.

doi:10.1016/0306-4603(84)90051-0

Cited by 317 publications

(181 citation statements)

References 15 publications

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“…A total of 796 unique studies were retrieved, and from these, 25 eligible papers were identified, representing 17 unique studies (eight were papers reporting on the duplicate studies) 44, 45, 46, 47, 48, 49, 50, 51. Ten of these unique studies could be included in the quantitative synthesis relating to tobacco smoking; six could be included in quantitative syntheses relating to alcohol; and three were synthesized in relation to cannabis use.…”

Section: Resultsmentioning

confidence: 99%

Peer‐led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta‐analysis

et al. 2016

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Background and AimsPeer‐led interventions may offer a beneficial approach in preventing substance use, but their impact has not yet been quantified. We conducted a systematic review to investigate and quantify the effect of peer‐led interventions that sought to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years.MethodsMedline, EMBASE, PsycINFO, CINAHL, ERIC and the Cochrane Library were searched from inception to July 2015 without language restriction. We included randomized controlled trials only. Screening and data extraction were conducted in duplicate and data from eligible studies were pooled in a random effects meta‐analysis.ResultsWe identified 17 eligible studies, approximately half of which were school‐based studies targeting tobacco use among adolescents. Ten studies targeting tobacco use could be pooled, representing 13 706 young people in 220 schools. Meta‐analysis demonstrated that the odds of smoking were lower among those receiving the peer‐led intervention compared with control [odds ratio (OR) = 0.78, 95% confidence interval (CI) = 0.62–0.99, P = 0.040]. There was evidence of heterogeneity (I 2 = 41%, χ2 15.17, P = 0.086). Pooling of six studies representing 1699 individuals in 66 schools demonstrated that peer‐led interventions were also associated with benefit in relation to alcohol use (OR = 0.80, 95% CI = 0.65–0.99, P = 0.036), while three studies (n = 976 students in 38 schools) suggested an association with lower odds of cannabis use (OR = 0.70, 0.50–0.97, P = 0.034). No studies were found that targeted other illicit drug use.ConclusionsPeer interventions may be effective in preventing tobacco, alcohol and possibly cannabis use among adolescents, although the evidence base is limited overall, and is characterized mainly by small studies of low quality.

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Section: Resultsmentioning

confidence: 99%

Peer‐led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta‐analysis

et al. 2016

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“…Health risk behaviors measured included alcohol, cigarette, and marijuana use items adopted from standard youth substance use instruments and research [19,20], including three measures of length of use, 30-day frequency, and 30-day quantity for alcohol (Alpha=.79), cigarettes (Alpha=.89), and marijuana (Alpha=.92). In addition, two measures of riding with a drinking driver, and driving while drinking alcohol, were adopted from prior epidemiologic studies [21,22] (Alpha=.68).…”

Section: Methodsmentioning

confidence: 99%

Brief Multiple Behavior Interventions in a College Student Health Care Clinic

Werch

Bian

Moore

et al. 2007

Journal of Adolescent Health

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Purpose-This study examined the effects of brief image-based interventions, including a multiple behavior health contract, a one-on-one tailored consultation, and a combined consultation plus contract intervention, for impacting multiple health behaviors of students in a university health clinic.Methods-A total of 155 college students attending a major Southern university were recruited to participate in a study evaluating a health promotion program titled Project Fitness during the fall 2005 and spring 2006. Participants were randomly assigned to one of three treatments as they presented at the clinic: 1) a multiple behavior health contract, 2) a one-on-one tailored consultation, or 3) a combined consultation plus contract intervention. Baseline and one-month post-intervention data were collected using computer-assisted questionnaires in a quiet office within the student health clinic.Results-Omnibus repeated measures MANOVAs were significant for drinking driving behaviors, F(2,136)=4.43, p=.01, exercise behaviors, F(5,140)=6.12, p=.00), nutrition habits, F(3,143)=5.37, p=.00, sleep habits, F(2,144)=5.03, p=.01, and health quality of life, F(5,140)=3.09, p=.01, with improvements on each behavior across time. Group by time interaction effects showed an increase in the use of techniques to manage stress, F(2,144)=5.48, p=.01, and the number of health behavior goals set in the last 30 days, F(2,143)=5.35, p=.01, but only among adolescents receiving the consultation, or consultation plus contract. Effect sizes were consistently larger across health behaviors, and medium in size, when both consult and contract were employed together.Conclusions-Brief interventions using a positive goal image of fitness, and addressing a number of health habits using a contract and consultation strategy alone, or in combination, have the potential to influence positive changes in multiple health behaviors of college students attending a university primary health care clinic.

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“…Students are trained in the various LST skills through the use of interactive teaching techniques, plus homework exercises and out-of-class behavioral rehearsal. Teaching and skill development are accomplished through 15 program lessons (Botvin, Baker, Renick, Filazzola, & Botvin, 1984). All five teachers who implemented the seventh grade program were trained at a 2-day training workshop.…”

Section: School Interventionsmentioning

confidence: 99%

Prosper study of evidence‐based intervention implementation quality by community–university partnerships

Spoth

Guyll

Lillehoj

et al. 2007

Journal Community Psychology

132

116

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This study examined a community-university partnership model for sustained, high-quality implementation of evidence-based interventions. In the context of a randomized study, it assessed whether implementation quality for both family-focused and school-based universal interventions could be achieved and maintained through community-university partnerships. It also conducted exploratory analyses of factors influencing implementation quality. Results revealed uniformly high rates of both implementation adherence-averaging over 90%-and of other indicators of implementation quality for both family-focused and school-based interventions. Moreover, implementation quality was sustained across two cohorts. Exploratory analyses failed to reveal any significant correlates for family-intervention implementation quality, but did show that some team and instructor characteristics were associated with school-based implementation quality.The extant literature clearly indicates the need to evaluate the quality of implementation of preventive interventions, particularly those that are evidence-based (Durlak, 1998;Goggin, Bowman, Lester, & O'Toole, 1990;Greenberg, Domitrovich, Graczyk, & Zins, 2001;Mihalic & Irwin, 2003). Although there is an expanding set of evidence-based interventions (hereafter EBIs) shown to be efficacious in reducing youth problem behaviors and promoting positive youth development, low-quality intervention implementation frequently diminishes positive outcomes (Backer, 2003;Domitrovich & Greenberg, 2000; Fixsen, Naoom, Blasé, Friedman, & Wallace, 2005). Quality monitoring is especially important when implementation occurs under real-world conditions, guided by community-based organizations or partnerships . Sustained, high quality implementation by communities is essential to the achievement of greater public health impact of EBIs Lamb, Greenlick, & McCarty, 1998;.Because of the importance of sustained, quality implementation of EBIs by communitybased partnerships, there is a need to systematically evaluate partnership models guiding such implementation . In addition, there is a need to study factors potentially influencing sustained, quality, community-based implementation of EBIs to better understand how to improve implementation systems (Fixsen et al., 2005;Greenberg et al., 2001). These research needs are addressed by the three objectives of the present study. The first objective is to examine adherence rates and other implementation quality ratings NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript achieved through a community-based model for EBI implementation. To study the sustainability of the partnership model, the second objective is to determine how well implementation quality was maintained over time. The third and final objective was to explore whether community team and intervention instructor factors were correlated with implementation quality for family-focused and school-based EBIs. Spoth, Guyll, Trudeau, and Goldberg-Lillehoj (2002) examined the implementat...

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A cognitive-behavioral approach to substance abuse prevention

Cited by 317 publications

References 15 publications

Peer‐led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta‐analysis

Peer‐led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta‐analysis

Brief Multiple Behavior Interventions in a College Student Health Care Clinic

Prosper study of evidence‐based intervention implementation quality by community–university partnerships

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