Core competencies and the prevention of adolescent substance use

Haegerich, Tamara M.; Tolan, Patrick H.

doi:10.1002/cd.228

Cited by 38 publications

(26 citation statements)

References 69 publications

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“…The results of this study are also consistent with the known protective factors for preventing continued delinquency (Haegerich & Tolan, 2008). Mentoring, as perceived by youth mentees, appears to be a promising avenue for promoting these protective factors.…”

Section: Discussionsupporting

confidence: 85%

A Qualitative Analysis of Mentee Experiences in a Campus-Based Mentoring Program

Haddock

Zimmerman

Thomas

et al. 2017

JYD

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Preventing first-time offending youth from repeating delinquent behavior is of interest to society. Empirical evidence indicates that high-quality mentoring can prevent a wide array of negative outcomes for at-risk youth. This study examines the perspectives of 87 first-time offending youth, ages 10 to 18 years (M = 15), who participated in Campus Connections: Therapeutic Mentoring of At-Risk Youth. Through in-depth individual interviews, youth reported that mentoring helped them: (a) improve school experiences and performance, (b) create healthier relationships, (c) feel better about themselves, (d) think more positively about their future, and (e) decrease engagement in delinquency. The mentees attributed program components as well as the relationship with their mentor as important. These program components can be integrated into other mentoring programs.

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Section: Discussionsupporting

confidence: 85%

A Qualitative Analysis of Mentee Experiences in a Campus-Based Mentoring Program

Haddock

Zimmerman

Thomas

et al. 2017

JYD

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“…For every additional year of age or year of assessment period the predicted probability of PSU increased by a factor of 0.46 (age) or 0.48 (year), respectively, when all other variables were held constant. This finding is in accordance with other studies (Armstrong & Costello, 2002;Couwenbergh et al, 2006;Haegerich & Tolan, 2008;Jaffee & D'Zurilla, 2009;Palmer et al, 2009). Interestingly, the interaction of age and year of assessment reduced the predicted probability of PSU by a factor of only 0.07 when all other variables were held constant.…”

Section: Discussionsupporting

confidence: 93%

“…It is reasonable and necessary to use an operationalization of PSU that is specific to the developmental stage of adolescents and distinguishes PSU from diagnoses linked to adulthood like SA, SD, and SUD (Armstrong & Costello, 2002;Couwenbergh et al, 2006;Haegerich & Tolan, 2008;Jaffee & D'Zurilla, 2009;Palmer et al, 2009). Using data from a longitudinal field study, we focused on PSU, rather than on SUD.…”

Section: Discussionmentioning

confidence: 99%

“…compensatory and protective factors, in various domains. The latter include individual features (e.g., positive Downloaded by [Laurentian University] at 14:59 04 April 2016 orientation toward the future, objection to SU, belief that SU is wrong, and belief in the ability to resist substances, higher intelligence and problem-solving ability, positive self-esteem, early detection and effective treatment of mental health problems, participation in a lot of sports, and alcohol sensitivity for female adolescents), peer characteristics (e.g., strong bond to prosocial peers), school factors (e.g., positive school climate, and positive sense of community), and family functioning indicators (e.g., positive family climate, strong bond to family, supportive family relationships and parental monitoring, living in a household with two parents, paternal disapproval of smoking; Vakalahi, 2001;McGee, Williams, & Reeder, 2006;Buckner et al, 2007;Gau et al, 2007;Blomeyer et al, 2008;Cleveland et al, 2008;Haegerich & Tolan, 2008;Ihle et al, 2008;Mayberry & Espelage, 2009;Schulte et al, 2009;Siebenbruner et al, 2006;Weinberg et al, 1998). On the whole, more risk factors than protective factors have been studied and reported in the literature, and risk factors were stronger predictors of SU outcomes than protective factors (Cleveland et al, 2008).…”

Section: Introductionmentioning

confidence: 97%

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A developmental trajectory model of problematic substance use and psychosocial correlates from late adolescence to young adulthood

Eschmann

Zimprich

Metzke

et al. 2010

Journal of Substance Use

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Background: The developmental trajectory of problematic substance use (PSU) with associated risk and compensatory factors in adolescence has not been studied intensively. Method: PSU over 7 years between adolescence and adulthood was studied. The data of 593 adolescents (mean age at first measurement occasion: 13.6 years, SD = 1.6; 284 males, 309 females) come from the Zurich Psychology and Psychopathology Study (ZAPPS), covering three measurement occasions over seven years. A probit linear effects model of longitudinal change including various psychosocial predictor variables was used to study the probability of becoming a problematic substance user. Results: The PSU trajectory was nonlinear, rose rapidly through adolescence and flattened out through young adulthood. Age and year of assessment showed the strongest predictive power as risk factors. Among further risk and compensatory predictors, externalizing problem behavior at time one showed a strong increase in PSU. Conclusions:The present study provides new insight into the development of PSU from adolescence to young adulthood including risk and compensatory factors. Age-specific prevention programs should focus on externalizing behavior problems and avoidant coping.

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“…More recent research has explored a range of factors that may be protective of adolescent substance use,23 including individual factors such as self-esteem23–26 and problem-solving ability,27 and environmental factors such as connection to school,23 26 28–33 family,19 23 26 28 34 and prosocial peers 3435 Such factors have been considered to be factors protective of an adolescents' ‘resilience’,25 36–41 broadly described as a process, capacity or outcome of successfully adapting to challenging or threatening life circumstances 42–44.…”

Section: Introductionmentioning

confidence: 99%

Association between adolescent tobacco, alcohol and illicit drug use and individual and environmental resilience protective factors

et al. 2016

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ObjectivesResearch suggests that individual and environmental resilience protective factors may be associated with adolescent substance use; however, the associations between a broad range of such factors and use of various types of substances have not been examined. The study aimed to determine the association between a comprehensive range of adolescent individual and environmental resilience protective factors and measures of tobacco, alcohol and illicit substance use.DesignCross-sectional study.Setting32 Australian secondary schools.ParticipantsGrade 7–10 students (aged 11–17 years).MeasuresData regarding 14 student individual and environmental resilience protective factors and seven substance use measures (tobacco, alcohol, marijuana, other illicit drug use) were obtained via an online self-report survey. Adjusted multivariate logistic regression analyses examined the association between all student resilience protective factors and seven substance use measures.ResultsInverse univariate associations were found for 94 of 98 relationships examined (n=10 092). Multivariate analyses found: consistent inverse associations between 2 of 14 protective factors and all substance use measures (‘goals and aspirations’, ‘prosocial peers’); inverse associations between 4 protective factors with multiple substance use measures (‘home support’ (5 of 7), ‘school support’ (3 of 7), ‘self-awareness’ (2 of 7), ‘community meaningful participation’ (2 of 7)); positive associations between 2 resilience protective factors with multiple measures of substance use (‘community support’ (3 of 7), ‘peer caring relationships’ (5 of 7)) and 6 protective factors not to be associated with any substance use measure.ConclusionsDespite individual relationships between the majority of resilience protective factors and substance use types, the protective benefit of such factors for adolescent substance use was limited to only a small number of such factors when considered collectively. Such results suggest that interventions seeking to reduce adolescent substance use may need to target specific protective factors to address specific types of substance use.Trial registration numberACTRN12611000606987, Results.

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Core competencies and the prevention of adolescent substance use

Cited by 38 publications

References 69 publications

A Qualitative Analysis of Mentee Experiences in a Campus-Based Mentoring Program

A Qualitative Analysis of Mentee Experiences in a Campus-Based Mentoring Program

A developmental trajectory model of problematic substance use and psychosocial correlates from late adolescence to young adulthood

Association between adolescent tobacco, alcohol and illicit drug use and individual and environmental resilience protective factors

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