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Review and Evidence Gap Map of mentoring programs for adolescent males with disabilities

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Journal of Adolescence
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Introduction Adolescent males with disabilities face unique challenges, and mentoring programs designed for this population could support more positive long‐term outcomes. In the current study, a scoping review of empirical research on such programs was conducted. The review was intended to capture the characteristics of existing mentoring program for males with disabilities and map those characteristics in a way that sheds light on the overall status of the field. Methods The review included different types of mentoring (e.g., adult to child, peer to peer, etc.) as long as the program explicitly defined the formation of a long‐term relationship between mentor and mentee. The search identified 21 relevant studies that were categorized using four dimensions: 1) Setting (i.e., school/after school, community‐based, on‐line/virtual, or mixed); 2) Sex (i.e., males only or mixed males/females); 3) Outcomes (i.e., academics, social‐emotional skills, health, transition from high school, or program implementation); and 4) Evaluation methodology (i.e., experimental, nonexperimental, or qualitative). The findings are summarized in an Evidence Gap Map. Results Only three studies used an experimental design, although they were able to demonstrate significant promise in promoting positive outcomes for youth with disabilities. Beyond these studies, however, there was little evidence supporting program efficacy for males with disabilities, as most studies in the sample were nonexperimental in nature. Conclusions Overall there are few mentoring programs that target this population, and experimental research on programs that target academic and health outcomes is particularly lacking.
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Received: 5 January 2024
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Accepted: 17 August 2024
DOI: 10.1002/jad.12398
REVIEW ARTICLE
Review and Evidence Gap Map of mentoring programs for
adolescent males with disabilities
Mark J. Van Ryzin |Jonathan L. Rochelle |James Sinclair |John Lind
University of Oregon, Eugene, Oregon, USA
Correspondence
Mark J. Van Ryzin, University of Oregon, Eugene,
OR, USA.
Email: markv@uoregon.edu
Funding information
Institute of Educational Sciences
Abstract
Introduction: Adolescent males with disabilities face unique challenges, and men-
toring programs designed for this population could support more positive longterm
outcomes. In the current study, a scoping review of empirical research on such
programs was conducted. The review was intended to capture the characteristics of
existing mentoring program for males with disabilities and map those characteristics
in a way that sheds light on the overall status of the eld.
Methods: The review included dierent types of mentoring (e.g., adult to child, peer to
peer, etc.) as long as the program explicitly dened the formation of a longterm rela-
tionship between mentor and mentee. The search identied 21 relevant studies that were
categorized using four dimensions: 1) Setting (i.e., school/after school, communitybased,
online/virtual, or mixed); 2) Sex (i.e., males only or mixed males/females); 3) Outcomes
(i.e., academics, socialemotional skills, health, transition from high school, or program
implementation); and 4) Evaluation methodology (i.e., experimental, nonexperimental, or
qualitative). The ndings are summarized in an Evidence Gap Map.
Results: Only three studies used an experimental design, although they were able to
demonstrate signicant promise in promoting positive outcomes for youth with
disabilities. Beyond these studies, however, there was little evidence supporting pro-
gram ecacy for males with disabilities, as most studies in the sample were non-
experimental in nature.
Conclusions: Overall there are few mentoring programs that target this population,
and experimental research on programs that target academic and health outcomes is
particularly lacking.
KEYWORDS
adolescence, disabilities, Evidence Gap Map, mentoring
1|INTRODUCTION
Adolescence is a particularly important developmental window that serves as a period of transition to young adulthood, and this
critical life stage has many important developmental milestones (Steinberg & Morris, 2001). Among these are identity for-
mation, in which adolescents assess who they are and who they would like to become, and the development of social skills to
promote inclusion in the peer group. An inability to achieve these milestones can have negative eects on physical and mental
health and educational attainment. This paper makes the case that these developmental milestones can be challenging for males,
and especially challenging for males with disabilities, which can have negative implications for both the physical and mental
health and the educational success of this population. As a consequence, the development of interventions (e.g., mentoring
programs) that can support males with disabilities through the transition to adulthood is particularly crucial. We review each
milestone below and in each case we highlight the ways in which male disabled adolescents are uniquely impacted. Throughout
this article, the term disabilities refers specically to highincidence disabilities, encompassing learning disabilities, emotional or
behavioral disabilities, speechlanguage disorders, and other health impairments, including ADHD and ADD.
Journal of Adolescence. 2025;97:516. wileyonlinelibrary.com/journal/jad
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Abstract Background In recent years, mentoring has drawn substantial interest from policymakers, intervention theorists, and those interested in identifying promising and useful evidence‐based approaches to interventions for criminal justice and child welfare outcomes (Grossman & Tierney, 1998; Jekliek et al., 2002). Mentoring is one of the most commonly‐used interventions to prevent, divert, and remediate youth engaged in, or thought to be at risk for, delinquent behavior, school failure, aggression, or other antisocial behavior (DuBois, Holloway, Valentine, & Cooper, 2002). One account lists over 4500 organizations within the United States that use mentoring to promote youth wellbeing and reduce risk (Rhodes, 2002). Definitions of mentoring vary, but there are common elements. For the purpose of this review, mentoring was defined by the following 4 characteristics: 1) interaction between two individuals over an extended period of time, 2) inequality of experience, knowledge, or power between the mentor and mentee (recipient), with the mentor possessing the greater share, 3) the mentee is in a position to imitate and benefit from the knowledge, skill, ability, or experience of the mentor, 4) the absence of the role inequality that typifies other helping relationships and is marked by professional training, certification, or predetermined status differences such as parent‐child or teacher‐student relationships. A total of 39 topic and methodologically eligible studies were identified for inclusion in the meta‐analysis (out of 112 outcome reports) on delinquency, aggression, drug use, and academic achievement, which are each associated consistently with delinquency involvement or risk for such involvement. Objectives This systematic review had the following objectives: To statistically characterize the evidence to date on the effects of mentoring interventions (selective and indicated) for delinquency (e.g. arrest, reported delinquency), and related problems of aggression drug use, school failure. To attempt to clarify the variation in effects of mentoring related to program makeup and delivery, study methodology, and participant characteristics. To help define mentoring in a more systematic fashion than has occurred to date to, in turn, help clarify what constitutes mentoring and what might be key components for future research. To identify gaps in this research area and make recommendations for further research. To inform policy about the value of mentoring and the key features for utility. Search Strategy The authors of three meta‐analyses on mentoring or related topics (1) DuBois et al. (2002) on mentoring in general, 2) Lipsey and Wilson (1998) on delinquency interventions in general, and 3) Aos et al. (2004) on interventions for delinquency and associated social problems) were contacted for databases on reports and coding approaches. In addition, we searched various databases including PsychINFO, Criminal Justice Abstracts, Criminal Justice Periodicals Index, Social Sciences Citation Index (SSCI), Science Citation Index (SCI), Applied Social Sciences Indexes and Abstracts (ASSIA), MEDLINE, Science Direct, Sociological Abstracts, Dissertation Abstracts, Database of Abstracts of Reviews of Effectiveness, and ERIC (Education Resources Information Center) and the Social, Psychological, Educational and Criminological Trials Register (SPECTR), the National Research Register (NRR, research in progress), and SIGLE (System for Information on Grey Literature in Europe). 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Significant variation across studies was also present. For delinquency substantial heterogeneity was found among studies’ results ( Q (19) = 71.2, p < .01 ; Range: SMD = ‐0.18 to SMD = 1.73) and the mean effect size using random effects calculation was SMD = 0.23, 95% CI = 0.11 – 0.36. For aggression some heterogeneity was found among studies’ results ( Q (19) = 9.78, p < .10; SMD = ‐0.05 to SMD = 0.95) and the mean effect size using random effects calculation was SMD = 0.40, 95% CI = 0.06 – 0.74. For drug use heterogeneity was substantial ( Q (5) = 18.5, p < .01; SMD = ‐0.13 to SMD = 0.34). The mean effect size using random effects calculation was SMD = 0.13, 95% CI = ‐0.02 – 0.28. Academic achievement results did not show evidence of heterogeneity ( Q (19) = 25.4, ns; SMD = ‐0.21 to SMD = 0.63), and the weighted random effects estimate of effect size was SMD = 0.08, 95% CI = 0.01 – 0.15. We compared effect sizes of those studies that were random assignment experimental designs with those that were quasi‐experimental and found RCTS had a larger average effect size. We conducted moderator analyses to attempt to determine whether effects differed according to the criteria for selecting participants, key processes of mentoring interventions, presence of other interventions in the study, motivations of mentors, or assessment of quality or fidelity of the intervention. To do so we combined effects across outcomes to provide adequate power for valid analyses and because analyses to check for bias in effects due to outcome suggested no such effect. The analyses were limited due to the relatively limited information about these characteristics extractable from many reports and perhaps may have some limitation in direct application due to this combining of outcomes. We found evidence for moderation when professional development was a motive for becoming a mentor and when emotional support was emphasized within the intervention. Effect sizes did not differ by whether or not other components were used, how risk was identified (environmental versus individual characteristics) or if fidelity adherence and implementation features were assessed. Reviewers’ Conclusions This analysis of 39 studies on four outcomes measuring delinquency or closely related outcomes suggests mentoring for high‐risk youth has a modest positive effect for delinquency, aggression, drug use, and achievement. However, the effect sizes varied by outcome with larger effects for delinquency and aggression than for drug use and achievement. Also, effect sizes varied more for delinquency and aggression than for drug use or academic achievement. We also identified some characteristics that moderated effects that provide some additional understanding for further studies and program preference. RCTS had larger effect sizes than quasi‐experimental studies. Effects tended to be stronger when emotional support was a key process in mentoring interventions, and when professional development was an explicit motive for participation of the mentors. While these findings support viewing mentoring as a useful approach for intervention to lessen delinquency risk or involvement, due to limited description of content of mentoring programs and substantial variation in what is included as part of mentoring efforts detracts from that view. The valuable features and most promising approaches can not be stated with any certainty. In fact, there is a remarkable lack of description of key features or basic program organization that is typically provided in empirical reports of effects with not much increase in quality of reports over the time period studied here. Given the popularity of this approach, the promise of benefits should be seen as a strong argument for a concerted effort through quality randomized trials to specify the theoretical and practical components for effective mentoring with high‐risk youth. Concordantly, lacking such features, further trials may not add useful knowledge.
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