Abstract
Objective: To examine the overall effect of individual depression prevention programs on future likelihood of depressive disorder and reduction in depressive symptoms. In addition, we have investigated whether Cognitive Behavioural Therapy (CBT), Interpersonal Therapy (IPT) and other therapeutic techniques may modify this effectiveness. Methods: This study is based on and includes the trial data from meta-analyses conducted in the Cochrane systematic review of depression prevention programs for children and adolescents by Merry et al. (2011). All trials were published or unpublished English language randomized controlled trials (RCTs) or cluster RCTs of any psychological or educational intervention compared to no intervention to prevent depression in children and adolescents aged 5–19 years. Results: There is some evidence that the therapeutic approach used in prevention programs modifies the overall effect. CBT is the most studied type of intervention for depression prevention, and there is some evidence of its effectiveness in reducing the risk of developing a depressive disorder, particularly in targeted populations. Fewer studies employed IPT, however this approach appears promising. To our knowledge, this is the first study to have explored how differences in the approach taken in the prevention programs modify the overall treatment effects of prevention programs for children and adolescents. Conclusions: More research is needed to identify the specific components of CBT that are most effective or indeed if there are other approaches that are more effective in reducing the risk of future depressive episodes. It is imperative that prevention programs are suitable for large scale roll-out, and that emerging popular modes of delivery, such as online dissemination continue to be rigorously tested.
Keywords: prevention, depressive disorder, evidence-based practice, children, adolescent, meta-analysis
1. Introduction
Depressive disorder is a common mental health problem for young people throughout the world. Meta-analyses suggest the prevalence of depressive disorder in children under 13 to be at 2.8%, rising to 5.7% in adolescents [1] and adolescence and young adulthood is the peak period for the emergence of new cases of depression [2]. As relapse rates for depressive disorder are high [3], there are a variety of potential negative, long term outcomes associated with it, including difficulties with interpersonal relationships, poor vocational attainment and achievement [4,5] and increased risks of self-harm and suicide [6]. Consequently, intervening in childhood and adolescence to prevent the onset of depressive disorder is likely to be the most effective strategy to prevent the negative outcomes associated with the disorder.
Over the past 30 years, numerous programs have been developed with the aim of either preventing depressive disorder, or reducing already present depressive symptoms. Some interventions are delivered to all participants (a universal approach), whilst others target those at risk of developing depression, for example, those with a depressed caregiver, or those who have some depressive symptoms, but are not yet clinically depressed (a targeted approach). Evidence derived from systematic reviews and meta-analyses of depression prevention programs suggest that the outcomes with regard to depression prevention are promising, but highlight that in most cases this is only in terms of reducing levels of depressive symptoms, and only in some cases, episodes of clinically significant depression [7,8,9,10,11]. A recent Cochrane Review undertaken by Merry et al. [12] included sixty eight Randomized Controlled Trials (RCTs) of depression prevention programs for children and adolescents. The findings indicate a small but significant effect size suggesting small but positive effects in reducing depressive symptoms, and future clinically significant episodes of depression up to 12 months after the intervention is delivered. There are some differences in outcomes depending on whether the interventions were targeted or universal: consistent with previous analyses [7,8], targeted programs showed the largest effects, which were maintained to 12 months; whereas universal programs only showed this effect 3 to 9 months after the intervention was delivered. Findings were less robust when an intervention was compared with an active control and there were weaknesses across the studies, including the lack of rigorous measures of depressive disorders, rather than depressive symptoms. It has also been difficult to show effect when effectiveness rather than efficacy studies are conducted [13,14].
Recently there has been interest in the effectiveness of specific depression prevention programs. For example, a meta-analytic review by Brunwasser et al. [15] investigated the effectiveness of the Penn Resiliency Program (PRP), one of the most widely disseminated group based prevention programs. The results of the review suggest that overall PRP produced small positive effects in reducing depressive symptoms in youth at post intervention and up to 1-year follow-up, compared with those who received no intervention. However, the PRP did not significantly impact on rates of depressive disorder, and only three trials measured rates of depressive disorder diagnosis at follow-up. Further, the analysis suggested that while targeted programs produced small positive effects up to 12 months after PRP was delivered, universal programs did not have the same impact on depression symptoms post intervention or at 6 to 8 months post intervention, but only at 12 months post intervention. To our knowledge no other reviews have sought to understand the effectiveness of particular prevention programs for depression in children and adolescents.
The depression prevention programs used thus far are predominantly based on the principles of Cognitive Behavioural Therapy (CBT), Interpersonal Psychotherapy (IPT), problem solving, and/or psycho education. The sixty-eight RCTs included in the review by Merry et al. [12] have a great deal of overlap in terms of methods (often group programs delivered in schools) and while findings are promising, they are difficult to replicate and to implement. If we are to make progress it is important that we understand the therapeutic approach taken in these programs in order to develop a public health intervention that can be used reliably across regions or countries to prevent depression.
In this systematic review, we present a secondary analyses of the data set used in the meta-analysis undertaken by Merry et al. [12]. Our aim is to examine in exploratory secondary analyses how CBT, IPT and other therapeutic approaches as well as how individual depression prevention programs (e.g., such as the Penn Resiliency Program and Coping with Stress), modify the overall prevention effect exerted by depression prevention programs.
2. Materials and Methods
This paper is based on a Cochrane systematic review of depression prevention programs for children and adolescents [12] and focuses on additional exploratory analyses of the dataset from this review. The full Cochrane review contains 68 trials. In this study we have only included those trials that provided data for the meta-analyses for post intervention, 3 to 9 month and 12 month follow-up. As our main aim was to explore how various characteristics of interventions tested in prevention trials modified treatment effects, we sought to reduce heterogeneity between the trials and as a result, excluded the following: trials that compared an intervention to a placebo group (where non specific factors are controlled but no active treatment ingredients are included) and those trials where the primary aim or target was not depression prevention. (see Figure 1 for flow diagram). Therefore, in all there are 43 trials with 50 intervention arms included in this secondary analysis. The Cochrane Collaboration systematic review methodology was used as outlined in the Cochrane Handbook for Systematic Reviews of Interventions [16] and there is a full description of the methods in Merry et al., 2011 [12].
In this paper, we have investigated the impact of particular therapeutic approaches and more specifically of the CBT based programs on these overall results.
2.1. Search Strategy
Briefly, the Cochrane Depression, Anxiety and Neurosis Group trials registers were searched from inception to August 2010 (details can be obtained from authors; details of CCDAN’s generic search strategies can be found in the ‘Specialized Register’ section of the Cochrane Depression, Anxiety and Neurosis Group’s module text but include weekly searches of MEDLINE, EMBASE and PsycINFO; quarterly searches of the Cochrane Central Register of Controlled Trials (CENTRAL) and review specific searches of additional databases as well as reports of trials via the World Health Organisation’s trials portal (ICTRP) (http://apps.who.int/trialsearch/), drug companies, hand-searching of key journals, conference proceedings and other (non-Cochrane) systematic reviews and meta-analyses). In addition to this search, hand searching of Conference abstracts, 1994, 1996, and 1998–2001, for the American Academy of Child and Adolescent Psychiatry were searched, and key investigators in the field were contacted to locate unpublished studies.
2.2. Study Selection
All studies were published or unpublished English language RCTs (including cluster RCTs) of any psychological or educational intervention compared to no intervention to prevent depression in children and adolescents (aged 5 to 19 years). Participants did not meet the criteria for a clinical diagnosis of depressive illness, although they may have had sub-clinical symptoms of disorder. Studies that included participants with a history of depression were included if the intervention was aimed at the prevention of depressive disorder or depressive symptoms, and where the participants were not being currently treated for depression.
2.3. Assessment of Risk of Bias
Trials were assessed for risk of bias according to the Cochrane Handbook for Systematic Reviews of Interventions and more specifically, the “Risk of Bias” tool it recommends [17]. Specifically, we examined each study for randomised sequence generation method, allocation concealment, blinding of participants and assessors, the methods of addressing incomplete outcome data, potential selective reporting, and any other possible bias that might affect the outcome of the study. All assessments of the quality of trials were performed independently by two authors with discrepancies were resolved by a third author.
2.4. Statistical Analyses
We extracted the number of people meeting criteria for a depressive disorder as the primary outcome for this review. This was based on either: 1. A standardized diagnostic tool yielding a diagnosis or; 2. A pre-determined (by the trial author) clinical cut-off on a depression symptom measure, including the Beck Depression Inventory (scores over 30), the Children’s Depression Inventory (cut points ranged from 12 to 20), the Centre for Epidemiological Studies-Depression (score equal to or over 24) and the Children’s Depression Rating Scale-Revised (T scores over 65).
These data were pooled using the Risk Difference. We adjusted for the study population numbers to take into account the effect of clustering in cluster RCTs using interclass correlations (ICC) obtained from authors or, if this was not possible, using an ICC estimate of 0.02 (the average of those obtained). For our secondary outcome, depressive symptoms, because different scales were used to measure the same outcomes, the standardized mean difference (SMD) was calculated.
For all meta-analyses we used the random effects model with a 95% confidence interval. Random effects are, in general, more conservative than fixed-effects models because they take heterogeneity among studies into account [16].
2.5. Subgroup Analysis
Subgroup analysis allows investigation of whether the intervention effects vary with different intervention characteristics. Analysis of subgroups by the therapeutic approach used in the intervention was undertaken according to the following categories: CBT (including online CBT), IPT, and other. We categorized trials as ‘CBT’ if cognitive restructuring was described.
Further subgroup analysis was undertaken of those studies that were categorized as CBT according to the named program that was tested, or approach if there was no specific program name including: the Penn Resiliency Program (PRP), Ease of Handling Social Aspects in Everyday Life Training (LISA-T), Resourceful Adolescent Program (RAP), the stress inoculation approach, the Positive Thinking Program, FRIENDS, The Blues Program, Coping with Stress, Confident Kids, Learn Young Learn Fair, Teaching Kids to Cope, MoodGYM, Problem Solving for Life, with the remainder classified as “unspecified”.
Two authors (SH and GC) independently read the descriptions of the interventions of each included study (see Table 1) and coded them according to the type of intervention and the type of CBT program. Discrepancies in this coding were resolved by a third author (SM).
Table 1.
Study Name | Description | Therapeutic Approach | Specific CBT Program Name |
---|---|---|---|
Arnarson 2009 [20] | Based on a number of previous programs including the Coping with Depression and its derivative Coping with Stress program. The focus was on the development of adaptive coping skills to enhance self-esteem and well-being. Stated it incorporated principles of interpersonal therapy, problem solving, behavioural, and cognitive models (pg 581). | CBT & IPT | Unspecified |
Balle 2009 [21] | Based on the FRIENDS program; includes education about anxiety, cognitive restructuring, emotional regulation techniques (activation control strategies, controlled breathing, relaxation and cognitive distraction), and gradual exposure to feared situations. | CBT | FRIENDS |
Berry 2009 [22] | The Confident Kids program focuses on anxiety and included psychoeducation, cognitive restructuring and graded exposure. Also included education about bullying, coping strategies for bullying situations and sessions on social skill and self esteem enhancement. | CBT | Confident Kids |
Barnet 2007 [23] | Trained home visitors provided parenting curriculum (child development, parenting skills, appropriate health care use), encouraged contraceptive use, connected adolescent with primary care, school continuation, provided mentoring and case management, sought to identify depression, partner abuse and school drop out and follow-up of these issues. | Other | |
Bond 2004 [24] | The Gatehouse project is a school health promotion program with both individual and ‘whole school’ focused components. The individual component focused on teaching students to identify difficult/conflicting emotional responses to common social situations and develop strategies for responding. The whole school component included a school based adolescent health team as well as interventions to address identified risk and protective factors in the schools social and learning environment. | Other | |
Cabiya 2008 [25] | Primarily social problem solving that included teaching adolescents how to understand social cues, how to make accurate interpretations of these cues; how to generate a variety of solutions to a problem they perceive in the social setting; how to decide which solution to enact and how to enact the chosen solution. | CBT | Unspecified |
Calear 2009 [26] | MoodGYM is an online CBT program that includes cognitive restructuring, interpersonal skills, relaxation and problem solving. It is fully automated and self-directed. | CBT - online | MoodGYM |
Cardemil 2002 a [27]-African American | The Penn Resiliency Program (PRP) includes cognitive restructuring, relaxation and emotion regulation, assertiveness, coping skills, negotiation, social skills, creative and social problem solving, and decision-making. | CBT | PRP |
Cardemil 2002 b [27]-Latina | Penn Resiliency Program (PRP) | CBT | PRP |
Chaplin a 2006 [28]-girls only | Penn Resiliency Program (PRP) | CBT | PRP |
Chaplin b2006 [28]-co-ed | Penn Resiliency Program (PRP) | CBT | PRP |
Clarke 1993 [29] | Behavioural skill training intervention that focused on increasing daily rates of pleasant activities. | CBT | Unspecified |
Clarke 1995 [30] | The Adolescent Coping with Stress program teaches cognitive restructuring and problem solving skills. The course was based on the “Adolescent Coping with Depression Course” (Clarke et al. 1990). Specifically it teaches adolescents to (a) monitor daily moods; (b) identify activating events; (c) discover, challenge, realistically evaluate, and revise negative beliefs; (d) recognize the connections among activating events, beliefs, and consequences (e.g., affect and behaviours); and (e) problem solve and cope with stressful events. | CBT | Coping with Stress |
Clarke 2001 [31] | Adolescent Coping with Stress program | CBT | Coping with Stress |
Garber 2009 [32] | Adolescent Coping with Stress program with behavioural activation, relaxation and assertiveness training as part of the continuation phase | CBT | Coping with Stress |
Gillham 1995 [33] | Included cognitive restructuring, and social problem solving. The social problem solving component focused on conduct problems and interpersonal problems often associated with depression and included teaching children to thinking about their goals before acting, generating a list of possible solutions for problems and making decisions about which solution to enact based on pro’s and con’s of each. They were also taught skills to help cope with parental conflict, and behavioural techniques to enhance assertiveness, negotiation and relaxation. | CBT | PRP |
Gillham & Reivich 2006 [34] | Penn Resiliency Program (PRP) with parent component included based on the theory that children learn interpretive and coping styles from their parents, and that helping to prevent or reduce depression in parents interrupts transmission from parents to children. | CBT | PRP |
Gillham & Hamilton 2006 [35] | Penn Resiliency Program (PRP) | CBT | PRP |
Gillham 2007 [36] | Penn Resiliency Program (PRP) | CBT | PRP |
Hains 1990 [37] | Based on cognitive-behavioural stress-inoculation training model developed by Meichenbaum (1985). Included cognitive restructuring around common self defeating cognitions lead to stress and anger. | CBT | Stress Inoculation |
Hains 1992 [38] | One group received stress inoculation as in Hains 1990; the second group received anxiety management training following the Suinn 1986 manual that includes learning how to recognise cues that signal the onset of anxiety and the use of relaxation skills to relieve anxiety. | CBT | Stress Inoculation |
Horowitz a 2007 [39] | Derived from the Adolescent Coping with Stress program | CBT | Coping with Stress |
Horowitz b 2007 [39] | Derived from the IPT–AST (Young & Mufson, 2003) course. IPT-AST includes two individual sessions and 8 group sessions delivering psychoeducation about the relationship between interpersonal difficulties and depression and skill building including communication and interpersonal strategies related to three interpersonal problem areas: interpersonal role disputes, role transitions, and interpersonal deficits. | IPT | IPT-AST |
Hyun 2005 [40] | The program integrated cognitive and behavioral components. The cognitive components included identifying reasons for running away from home, identifying high-risk situations including negative emotional states, cognitive distortions and dysfunctional coping strategies, and behavioral components included developing coping strategies such as pleasant activities and relaxation and planning for future life. | CBT | Unspecified |
Kraag 2009 [41] | The Learn Young, Learn Fair program addressed stress, stress awareness and coping skills. | CBT | Learn Young, Learn Fair |
Lock 2003 [42] | The FRIENDS program (Barrett 2000) was originally based on the Coping Cat (Kendall, 1990) and Coping Koala (Barrett, 1998) programs. It included education about anxiety, cognitive restructuring, emotional regulation techniques (activation control strategies, controlled breathing, relaxation and cognitive distraction), and gradual exposure to feared situations (including interoceptive exposure). | CBT | FRIENDS |
Lowry-Webster 2001 [43] | FRIENDS program. | CBT | FRIENDS |
Pössel 2004 [44] | The Ease of Handling Social Aspects in Everyday Life-Training (LISA-T) program is based on cognitive behavioural therapy and includes cognitive restructuring as well as a social focus with models of assertiveness and social competence training which targets students ability to develop and maintain social contacts. | CBT | LISA-T |
Pössel 2008 [45] | LISA-T | CBT | LISA-T |
Puskar 2003 [46] | The Teaching Kids to Cope program is aimed to teach skills that help young people cope with problems and stress. It includes cognitive restructuring but has more emphasis on behavioural skill building including social skills training, assertiveness training, conflict resolution and relaxation. It uniquely includes bibliotherapy, role-playing, and group exercises such as ‘trust-fall’, buddy assignments, and role playing situations from school as well as art activities. | CBT | Teaching Kids to Cope |
Quayle 2001 [47] | Adapted PRP and called the Optimism and Life Skills Program | CBT | PRP |
Rivet-Duval 2010 [48] | The Resourceful Adolescent Program (RAP) integrates elements of cognitive behavioural therapy (CBT) and interpersonal therapy. It includes behavioural activation with a focus on activities that increase self-esteem, cognitive restructuring, relaxation techniques, problem solving and conflict resolution. | CBT & IPT | RAP |
Roberts 2003 [49] | Penn Resiliency Program (PRP) | CBT | PRP |
Roberts 2010 [50] | The Aussie Optimism Program (AOP) program is based on PRP but targets anxiety as well as depression. | CBT | PRP |
Rooney 2006 [51] | The Positive Thinking Program (PTP) program is based in part on the Aussie Optimism Program (AOP). It includes cognitive restructuring, and training in relaxation and distraction skills. | CBT | Positive Thinking Program |
Sawyer 2010 [52] | The beyondblue schools research initiative utilised individual and ‘whole school’ focused components. The individual component aimed to improve problem solving and social skills, resilient thinking style and coping strategies. The whole school component included enhancements to the school climate to improve the quality of social interactions amongst all members of the school; improvements to care pathways to improve adolescents access to support and professional services; and community forums to provide adolescents, their families and school personnel to information about recognising problems and how to seek help. | CBT | beyondblue Schools Research Initiative |
Seligman 1999 [53] | Intervention is based on CBT and similar PRP and includes cognitive restructuring, behavioural activation interventions including graded task breakdown, time management, anti-procrastination techniques, creative problem solving, assertiveness training, interpersonal skills including active listening, taking each other’s perspectives, controlling emotions, passive vs. assertive vs. aggressive behaviours, and relaxation training. | CBT | Unspecified |
Seligman 2007 [54] | Replication of Seligman 1999 intervention with additional of web-based material and e-coaching primarily aimed at maintaining intervention effects over time. | CBT-partly online | Unspecified |
Shatte 1997 [55] | Penn Resiliency Program (PRP) | CBT | PRP |
Sheffield 2006 [56] | The Universal intervention included cognitive restructuring as well as problem solving interventions and was similar to the intervention described in Spence 2003. The indicated prevention program included these elements but also included interpersonal skills such as assertiveness, conflict resolution and negotiation and self-reward. | CBT | Problem Solving for Life |
Spence 2003 [57] | The Problem Solving for Life (PSFL) program integrates cognitive restructuring and problem-solving skills training. | CBT | Problem Solving for Life |
Stice a 2007 [58] | Based on the Coping with Stress program and focused on building rapport, increasing pleasant activities and cognitive restructuring. | CBT | Blues Program |
Stice b 2007 [58] | Supportive-expressive group therapy, which aimed to establish and maintain rapport, provide support, and help the client identify and express emotions. | Other | |
Stice c 2007 [58] | Bibliotherapy, which is the prescription of books for the treatment of a disorder. | Other | |
Stice d 2007 [58] | Expressive writing in which participants write about issues of emotional significance to them. | Other | |
Stice e 2007 [58] | Journalling | Other | |
Stice a 2008 [59] | Based on the Coping with Stress program and focused on building rapport, increasing pleasant activities and cognitive restructuring | CBT | Blues Program |
Stice b 2008 [59] | Supportive-expressive group therapy, which aims to establish and maintain rapport, provide support, and help the client identify and express emotions. | Other | |
Stice c 2008 [59] | Cognitive Behavioural Bibliotherapy | Other | |
Yu 2002 [60] | Chinese version of the Penn Resiliency Program (PRP) | CBT | PRP |
Young 2006 [61] | The Interpersonal Therapy-Adolescent Skills Training (IPT–AST) program was created as an extension of interpersonal therapy. IPT–AST teaches communication and social skills necessary to develop and maintain positive relationships. | IPT |
ASQ: Attributional Style Questionnaire; CDI: Children’s depression Inventory; BDI: Beck Depression Inventory; CASQ: Childrens Attributional Style Questionnaire; CBCL-YSR: Child Behaviour Checklist-Youth Self Report; CES-D: Centre for Epidemiologic Studies Depression Scale; CIS-R: Clinical Interview Schedule-Revised; CPQ: child perception questionnaire (measures child’s perception of parental conflict); DSRS: Depression Self-Rating Scale RADS-2 : Reynolds Adolescent Depression Scale; RCADS: Revised Child Anxiety and Depression Scale; SBS-DES: Self-Report Questionnaire-Depression; SDIC: Short Depression Inventory for Children.
To investigate treatment effects in these different subgroups, the overlap of the confidence intervals of the summary estimates was considered. In addition, significant differences between subgroups were explored following the method of Borenstein et al [18] as implemented in RevMan 5.1 [19]. The procedure involves undertaking a standard test for heterogeneity across subgroup results rather than across individual study results.
Sensitivity analysis allows investigation of the robustness of findings to decisions made about inclusion of studies. We had broad inclusion criteria and therefore we undertook sensitivity analyses using subgroup comparisons to assess the robustness of findings with regard to whether:
Interventions were delivered to universal versus targeted populations;
Interventions were delivered by a mental health clinician (including graduate level school counselors, school psychologists, cognitive and other therapists, clinical and other psychologists, psychiatric nurses, psychiatrist and mental health clinicians) versus students being trained in any of these mental health professions versus non mental health personnel;
Interventions included eight sessions or more versus less than eight sessions;
Outcomes were measured by the CDI/BDI versus the CES-D versus the RADS versus other measures.
2.6. Unit of Analysis Issues
In the references, letters after the year of publication indicate a separate study by the same author. In some cases a trial included multiple comparison arms that were relevant and in this case we have included these (dividing the control arm by the number of arms to which it was compared) and included a letter before the year of publication [36,58,59]. Finally, in some cases data were only provided for separate groups within a trial e.g., females and males, rather than totals so that in the analysis it is sometimes the case that the same reference appears to be repeated.
2.7. Heterogeneity
Heterogeneity was assessed on the basis of the Cochrane Handbook’s recommendations and I2 values are presented where I2 of 0–40%: might not be important; 30% to 60%: may represent moderate heterogeneity; 50% to 90%: may represent substantial heterogeneity; 75% to 100%: considerable heterogeneity.
3. Results
3.1. Description of Studies
Complete details of the 43 trials included in this study are described in the Cochrane review [12]. Given the focus on exploring the effectiveness of different types of depression prevention programs, we have described the interventions tested in the trials included in this study below.
Of the 50 intervention arms, 38 were classified as purely CBT; most were delivered to groups of adolescents in school settings, one was delivered online [26] and one was delivered partly online [53]. There was only one study that tested a purely IPT arm against a control [61]; one study included both a CBT treatment arm as well as an IPT treatment arm and a control group [39]; and two studies stated that their intervention incorporated CBT as well as IPT [20,48]. In this case we included the data from these studies in both the CBT and IPT subgroups (subgroups were not totaled). Eight intervention arms were classified as “other” (see Table 1).
Of the named CBT programs, 12 trials reported in 11 papers tested the PRP [27,28,33,34,35,36,47,49,50,55,60], four tested the Coping with Stress program [30,31,32,39], three the FRIENDS program [21,42,43], two the LISA-T program [44,45], two the Problem Solving for Life program [56,57], two a stress inoculation approach [37,38], two the Blues program [58,59], one the Positive Thinking Program [51], one the Confident Kids program [22], one the Learn Young Learn Fair program [41], one the Teaching Kids to Cope [46], one the MoodGYM program [26], and one the RAP program [48], one was called the beyondblue schools research initiative [52], and a further six trials did not test a named program [20,23,24,29,40,54] (see Table 1). Overall, the content of these programs is largely similar; however, close inspection of the text describing each CBT intervention revealed some differences, albeit with some difficulties in accurately describing these given the non-standard descriptions and variable terminology.
Every program included some form of cognitive restructuring. It wasn’t clear that all programs included typical behavioural activation; only 11 mentioned this specifically [22,23,26,29,32,48,54,56,59]. Specific mention of social skills training was made in a number of programs [23,38,54] and is part of the PRPs. Some of the unspecified programs used slightly different terminology such as interpersonal skills training [26,29,56] and assertiveness training [44,45], which was also stated as being included in one of the Coping with Stress programs [32]. Many stated that social or general problem solving was delivered in the program including the PRP, the Coping with Stress Program, MoodGYM [26], RAP [48], and the “Problem Solving for Life” program [56,57] and a number of “unspecified programs” [20,29,40,54]. None of the programs included any techniques or approaches used in 3rd wave CBT, such as mindfulness, acceptance, cognitive diffusion or distancing.
Many CBT programs appear to include some focus on stress management including the PRPs, the Coping with Stress program, the Teaching Kids to Cope program [46], and the Positive Thinking Program [51]. Often these programs include relaxation as an intervention, as does MoodGYM [26], and RAP [48], and some unspecified programs [23,29,54]. Some of the programs are primarily anxiety management programs that were included in the review because they measure depression as an outcome. These include the FRIENDS program [21,42,43], the Confident Kids program [22], the Learn Young Learn Fair Program [41], and two studies by the author Hains [37,38].
Of the eight programs classified as ‘other’, one study had a ‘whole school’ program that aimed to change the school environment as well as delivering an intervention program to students [52]. One study provided a program that included some focus on parents and their parenting skills [34]. The two trials by Stice et al called The Blues Program had multiple treatment arms, including supportive-expressive group therapy, bibliotherapy, expressive writing, and journaling [58,59]. For further description of the trials and the interventions tested in these trials, see Table 2 and Characteristics of Included Studies in the full Cochrane review.
Table 2.
Study Name | Size | Format | Targeted or Universal | Therapeutic Approach | Specific CBT Program Name | Number of Sessions | Manualised | Parent Component | Delivered by | Inclusion Criteria for Targeted Populations | Depression Outcome Measure | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Arnarson 2009 [20] | 171 | Group | Targeted | CBT & IPT | Unspecified | 14 | Yes | No | Mental Health clinician | 75th–90th percentile on CDI or >75th percentile on negative composite of the CASQ | CDI | |
Balle 2009 [21] | 145 | Group | Targeted | CBT | FRIENDS | 6 | Yes | No | Student mental health clinicians | High anxiety sensitivity | CDI | |
Berry 2009 [22] | 54 | Group | Targeted | CBT | Confident Kids | 8 | Yes | Yes | Student mental health clinicians | Anxiety symptoms | CES-D | |
Barnet 2007 [23] | 84 | Group | Targeted | Other | 36 | Yes | Yes | Non mental health personnel | Pregnant adolescents | CES-D | ||
Bond 2004 [24] | 2678 | Group | Universal | Other | 20 | Yes | No | School teachers | NA | CIS-R | ||
Cabiya 2008 [25] | 278 | Group | Targeted | CBT | Unspecified | 12 | Yes | No | Student mental health clinicians | Disruptive behaviour disorders | CDI | |
Calear 2009 [26] | 1384 | Individual | Universal | CBT-online | MoodGYM | 5 | Yes | No | Internet-based | NA | CES-D | |
Cardemil 2002 [27] | Trial 1: 49; Trial 2: 103 | Group | Universal | CBT | PRP | 12 | Yes | No | Student mental health clinicians | NA | CDI | |
Chaplin 2006 [28] | 234 | Group | Universal | CBT | PRP | 12 | Yes | No | Both mental and non mental health personnel | NA | CDI | |
Clarke 1993 [29] | 622 | Group | Universal | CBT | 3 | Yes | No | Non mental health personnel | NA | CES-D | ||
Clarke 1995 [30] | 125 | Group | Targeted | CBT | Coping with Stress | 15 | Yes | No | Mental health clinician | CES-D score of >=24 | CES-D | |
Clarke 2001 [31] | 94 | Group | Targeted | CBT | Coping with Stress | 15 | Yes | Yes | Mental health clinician | CES-D score of ≥ 24 & parent with previous or current depressive episode | CES-D | |
Garber 2009 [32] | 316 | Group | Targeted | CBT | Coping with Stress | 14 | Unclear | Yes | Mental health clinician | CES-D score of ≥ 20 & parent with previous or current depressive episode | CES-D | |
Gillham 1995 [33] | 143 | Group | Targeted | CBT | PRP | 12 | Unclear | Yes. In the child-parent group only. | Student mental health clinicians | Children with summed z scores of ≤ 0.50 on CDI & CPQ | CDI | |
Gillham & Reivich 2006 [34] | 44 | Group | Targeted | CBT | PRP | 8 | Yes | Yes | Mental health clinician | High levels of depression and anxiety | CDI | |
Gillham & Hamilton 2006 [35] | 271 | Group | Targeted | CBT | PRP | 12 | Yes | No | Mental health clinician | CDI scores ≥ 7 for girls and ≥ 9 for boys | CDI | |
Gillham 2007 [36] | 697 | Group | Universal | CBT | PRP | 12 | Yes | No | Mental and non mental health personnel and students | NA | CDI | |
Hains 1990 [37] | 24 | Group | Universal | CBT | Stress Inoculation | 5 | Unclear | No | Mental health clinician | NA | BDI | |
Hains 1992 [38] | 25 | Group (plus 1 individual session) | Universal | CBT | Stress Inoculation | 4 | Unclear | No | Mental health clinician | NA | RADS | |
Horowitz a 2007 [39] | 112 | Group | Universal | CBT | Coping with Stress | 8 | Yes | No | Student mental health clinicians | NA | CES-D | |
Horowitz b 2007 [39] | 99 | Group | Universal | IPT | IPT-AST | 8 | Yes | No | Student mental health clinicians | NA | CES-D | |
Hyun 2005 [40] | 32 | Group | Targeted | CBT | Unspecified | 8 | Unclear | No | Mental health clinician | Runaway youth | BDI | |
Kraag 2009 [41] |
1437 | Group | Universal | CBT | Learn Young, Learn Fair | 13 | Yes | No | Non mental health personnel | NA | SDIC | |
Lock 2003 [42] | 977 | Group | Universal | CBT | FRIENDS | 10 | Yes | No | Student mental health clinicians | NA | CDI | |
Lowry-Webster 2001 [43] | 594 | Group | Universal | CBT | FRIENDS | 10 | Yes | Yes | Non mental health personnel | NA | CDI | |
Pössel 2004 [44] | 342 | Group | Universal | CBT | LISA-T | 10 | Yes | No | Mental health clinician | NA | CES-D | |
Pössel 2008 [45] | 301 | Group | Universal | CBT | LISA-T | 10 | Yes | No | Non mental health personnel with student mental health professionals | NA | SBB-DES | |
Puskar 2003 [46] | 89 | Group | Targeted | CBT | Teaching Kids to Cope | 10 | Unclear | No | Mental health clinician | RADS score ≥ 60 | RADS | |
Quayle 2001 [47] | 47 | Group | Universal | CBT | PRP | 8 | Yes | No | Student mental health clinician | NA | CDI | |
Rivet-Duval 2010 [48] | 160 | Group | Universal | CBT & IPT | RAP | 11 | Yes | No | Non mental health personnel | NA | RADS | |
Roberts 2003 [49] | 189 | Group | Targeted | CBT | PRP | 12 | Yes | No | Mental health clinician | Elevated scores on the CDI | CDI | |
Roberts 2010 [50] | 496 | Group | Universal | CBT | Aussie Optimism Program | 10 | Yes | No | Non mental health personnel | NA | CDI | |
Rooney 2006 [51] | 136 | Group | Universal | CBT | Positive Thinking Program | 8 | Yes | No | Mental health clinician | NA | CDI | |
Sawyer 2010 [52] | 5634 | Group | Universal | CBT | beyondblue Schools Research Initiative | 30 | Yes | No | Non mental health personnel | NA | CES-D | |
Seligman 1999 [53] | 231 | Group | Targeted | CBT | Unspecified | 8 | Yes | No | Mental health clinician | Scored in the pessimistic quarter of the ASQ | BDI | |
Seligman 2007 [54] | 227 | Group | Targeted | CBT-partly online | Unspecified | 8 | Yes | No | Mental health clinician | BDI score of 9–24 | BDI | |
Shatte 1997 [55] | 152 | Group | Universal | CBT | PRP | 12 | Yes | No | Non mental health personnel with student mental health professionals | NA | CDI | |
Sheffield 2006 [56] | 2606 | Group | Universal and targeted | CBT | Problem Solving for Life | 8 | Yes | No | Non mental health personnel for Universal; Mental health clinician for targeted | Score in the top 20% on the combined scores on the CDI & CES-D. | CDI | |
Spence 2003 [57] | 1234 | Group | Universal | CBT | Problem Solving for Life | 8 | Yes | No | Non mental health personnel | NA | BDI | |
Stice a 2007 [58] | 50 | Group (CBT) | Targeted | CBT | Blues Program | 4 | Yes | No | Student mental health clinician | CES-D score of ≥ 20 | BDI | |
Stice b 2007 [58] | 19 | Group (Supportive expressive) | Targeted | Other | 4 | Yes | No | Student mental health clinician | CES-D score of ≥ 20 | BDI | ||
Stice c 2007 [58] | 28 | Individual (Bibliotherapy) | Targeted | Other | Not specified | Yes | No | Self-led | CES-D score of ≥ 20 | BDI | ||
Stice d 2007 [58] | 27 | Individual (Expressive writing) | Targeted | Other | 4 | Yes | No | Self-led | CES-D score of ≥ 20 | BDI | ||
Stice e 2007 [58] | 34 | Individual (Journaling) | Targeted | Other | Not specified | Yes | No | Self-led | CES-D score of ≥ 20 | BDI | ||
Stice a 2008 [59] | 89 | Group (CBT) | Targeted | CBT | Blues Program | 6 | Yes | No | Student mental health clinician | CES-D score of ≥ 20 | CES-D | |
Stice b 2008 [59] | 88 | Group (Supportive Expressive) | Targeted | Other | 6 | Yes | No | Student mental health clinician | CES-D score of ≥ 20 | CES-D | ||
Stice c 2008 [59] | 80 | Individual (Bibliotherapy) | Targeted | Other | Not specified | Yes | No | Self-led | CES-D score of ≥ 20 | CES-D | ||
Yu 2002 [60] | 270 | Group | Targeted | CBT | PRP | 10 | Yes | No | Non mental health personnel | Elevated scores on the CDI and the Cohesion and Conflict subscales of the Family Environment scale | CDI | |
Young 2006 [61] | 41 | Group | Targeted | IPT | 10 | Yes | No | Mental health clinician | CES-D score of 16–39 | CES-D |
ASQ: Attributional Style Questionnaire; CDI: Children’s depression Inventory; BDI: Beck Depression Inventory; CASQ: Childrens Attributional Style Questionnaire; CBCL-YSR: Child Behaviour Checklist-Youth Self Report; CES-D: Centre for Epidemiologic Studies Depression Scale; CIS-R: Clinical Interview Schedule-Revised; CPQ: child perception questionnaire (measures child’s perception of parental conflict); DSRS: Depression Self-Rating Scale RADS-2: Reynolds Adolescent Depression Scale; RCADS: Revised Child Anxiety and Depression Scale; SBS-DES: Self-Report Questionnaire-Depression; SDIC: Short Depression Inventory for Children.
3.2. Assessment of Risk of Bias
Allocation concealment was unclear or not reported in the majority of studies and commonly participants and assessors were not blind to the treatment groups or blinding was unclear. A full description of the risk of bias in each study is given in the Characteristics of Included Studies in the full Cochrane review [12].
3.3. Effects of Intervention
3.3.1. By Type of Intervention
CBT
There was evidence that the risk of having a depressive disorder was reduced by CBT post intervention, and at 3–9 month and 12 month follow-up. The level of depression symptoms was also reduced post intervention and at 12 month follow-up. However, there was a great deal of heterogeneity in findings (see Table 3).
Table 3.
Program | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up | |||
---|---|---|---|---|---|---|
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
CBT | 14 studies; 16 intervention arms; N = 1776 RD −0.11; 95% CI −0.17 to −0.05 I2 = 66% |
39 studies; 39 intervention arms; N = 11630 SMD −0.12; 95% CI −0.24 to −0.01 I2 = 86% |
14 studies; 18 intervention arms; N = 2254 RD −0.11; 95% CI −0.15 to −0.06 I2 = 46% |
27 studies; 33 intervention arms; N = 6351 SMD −0.09; 95% CI −0.25 to 0.07 I2 = 87% |
9 studies; 10 intervention arms; N = 1149 RD−0.08; 95% CI −0.16 to -0.00 I2 = 75% |
16 studies; 21 intervention arms; N = 5047 SMD −0.11; 95% CI −0.17 to −0.04 I2 = 13% |
IPT | 2 studies; 2 intervention arms; N = 265 RD 0.09; 95% CI −0.35 to 0.17 |
3 studies; 3 intervention arms; N = 327SMD −0.54; 95% CI −0.94 to −0.13 I2 = 67% |
2 studies; 2 intervention arms; N = 252 RD −011; 95% CI −0.19 to −0.04 I2 = 0% |
3 studies; 4 intervention arms; N = 327 SMD −0.26 [−0.62, 0.10] |
NA | 1 study; 1 intervention; N = 41 SMD −0.56 [−1.22, 0.10] |
Other | 4 studies; 5 intervention arms; N = 1843 RD −0.01; 95% CI −0.05 to 0.02 |
5 studies; 9 intervention arms; N = 2178 SMD −0.21; 95% CI −0.39 to −0.03 I2 = 52% |
3 studies; 5 intervention arms; N = 623 RD −0.02; 95% CI −0.11 to 0.07 |
4 studies; 9 intervention arms; N = 766 SMD −0.08; 95% CI −0.23 to 0.07 |
2 studies; 2 intervention arms; N = 1363 RD 0.01; 95% CI −0.03, 0.05 |
2 studies; 2 intervention arms; N = 1375 SMD 0.14; 95% CI 0.03 to 0.24 I2 =0% |
Subgroup differences | χ2 = 8.86, | χ2 = 2.85, | χ2 = 3.18, | χ2 = 0.83, | χ2 = 4.13, | χ2 = 17.07, |
p = 0.01 | p = 0.24 | p = 0.20 | p = 0.66 | p = 0.04 | p = 0.0002 |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
IPT
There were two studies that included an intervention that contained elements of both CBT and IPT interventions [20,48], one study that included one arm that tested a purely IPT intervention [39] and one study that tested the efficacy of IPT with a control group [61]. Two studies that included an intervention which contained elements of both CBT and IPT showed that there was no evidence that interventions that included IPT reduced the risk of having a depressive disorder post intervention; however, at 3–9 months there was evidence that interventions that included IPT reduced the risk of depressive disorder, with no heterogeneity evident at this time point. The Young 2006 study [61], which was purely IPT, was combined with the Rivet-Duval 2010 study [48] (which also included elements of CBT) and there was evidence that interventions that include elements of IPT reduced depression symptoms at post intervention, although there was significant heterogeneity and the evidence of effect did not remain at 3–9 month follow-up. Only the Young 2006 study [61] measured depression symptoms at 12-month follow-up and there was no evidence of effect (see Table 3).
Other
There was little evidence that these programs reduced the risk of depressive disorder or reduced depressive symptoms compared with no intervention post intervention, at 3–9 month or 12 month follow-up.
Test for Differences between Types of Intervention
There was evidence that the treatment effect for depressive disorder was modified by the type of therapeutic approach taken to depression prevention at post intervention and 12 month follow-up, and for depression symptoms at 12-month follow-up (see Table 3). When those studies that included both CBT and IPT interventions were excluded in sensitivity analysis, these subgroup differences remained.
3.3.2. By CBT Program Type
Penn Resiliency Program (PRP)
This program is the most studied intervention of all the named CBT programs with 10 studies of this program or its derivatives. Overall, the risk of depressive disorder was reduced at all three time points and depressive symptoms were also reduced at all three time points (see Table 4). There is considerable heterogeneity associated with the results for reduction in depressive disorder at post intervention and 3 to 9 months follow-up, which indicates considerable variation across studies. For example, results based on data from the African American sample in the study by Cardemil [27] are quite different to that of the Latino study to study; and the results for the child only intervention group are different to that of the parent and child intervention group in study by Gillham 1995 [33]. However, even after removing these data, there remains considerable unexplained statistical heterogeneity.
Table 4.
Program | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up | |||
---|---|---|---|---|---|---|
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
PRP | 6 studies; 8 intervention arms; N = 483 RD −0.18 [−0.31, −0.05] I2 = 74% |
11 studies; 12 intervention arms; N = 1628 SMD 0.11 [−0.21, 0.00] I2 = 0% |
5 studies; 6 intervention arms; N = 363 RD −0.19 [−0.36, −0.01] I2 = 84% |
10 studies; 13 intervention arms; N = 1206 SMD −0.17 [−0.29, −0.05] I2 = 0% |
4 studies; 5 intervention arms; N = 273 RD −0.05 [−0.14, −0.03] I2 = 16% |
7 studies; 10 intervention arms; N = 926 SMD −0.18 [−0.31, -0.05] I2 = 0% |
Coping with Stress | 2 studies; 2 intervention arms; N = 215 RD −0.16 [−0.27, −0.04] I2 = 49% |
4 studies; 4 intervention arms; N = 598 SMD −0.34 [−0.50, −0.17] I2 = 0% |
2 studies; 2 intervention arms; N = 427 RD −0.12 [−0.19, −0.04] I2 = 0% |
3 studies; 3 intervention arms; N = 494 SMD −0.14 [−0.32, 0.04] |
2 studies; 2 intervention arms; N = 195 RD −0.12 [−0.24, −0.01] I2 = 0% |
2 studies; 2 intervention arms; N = 196 SMD −0.25 [−0.77, 0.27] |
Friends | 1 study; 1 intervention arm; N = 239 RD −0.06 [−0.17, 0.04] |
3 studies; 3 intervention arms; N = 486 SMD −0.09 [−0.28, 0.09] |
NA | 1 study; 1 intervention arm; N = 68 SMD 0.19 [−0.29, 0.67] |
2 studies; 2 intervention arms; N = 452 RD −0.12 [−0.57, 0.33] |
2 studies; 2 intervention arms; N = 418 SMD −0.27 [−0.47, −0.06] I2 = 0% |
Positive Thinking Program | 1 study; 1 intervention arm; N = 76 RD −0.10 [−0.25, 0.05] |
1 study; 1 intervention arm; N = 76 SMD −0.57 [−1.04, −0.10] |
1 study; 1 intervention arm; N = 75 RD −0.21 [−0.37, −0.05] |
1 study; 1 intervention arm; N = 75 SMD −0.25 [−0.71, 0.21] |
NA | NA |
Blues Program | NA | 2 studies; 2 intervention arms; N = 153 SMD −0.65 [−1.03, −0.26] I2 = 0% |
1 study; 1 intervention arm; N = 100 RD −0.09 [−0.25, 0.07] |
2 studies; 2 intervention arms; N = 153 SMD −0.38 [−0.76, −0.00] I2 = 0% |
NA | |
Aussie Optimism Program | NA | 1 study; 1 intervention arm; N = 427 SMD 0.14 [−0.05, 0.33] |
NA | 1 study; 1 intervention arm; N = 395 SMD 0.12 [−0.08, 0.32] |
NA | |
Stress focus | NA | 2 studies; 2 intervention arms; N = 38 SMD −0.47 [−1.17, 0.23] |
NA | NA | NA | NA |
Confident kids | NA | 1 study; 1 intervention arm; N = 44 SMD −0.66 [−1.58, 0.25] |
NA | NA | NA | NA |
Learn Young Learn Fair | NA | 1 study; 1 intervention arm; N = 1102 SMD 0.00 [−0.12, 0.12] |
NA | NA | NA | 1 study; 1 intervention arm; N = 1011 SMD −0.02 [−0.15, 0.10] |
Teaching Kids to Cope | NA | 1 study; 1 intervention arm; N = 80 SMD −0.47 [−0.92, −0.03] |
NA | 1 study; 1 intervention arm; N = 76 SMD −0.49 [−0.95, −0.04] |
NA | 1 study; 1 intervention arm; N = 70 SMD −0.30 [−0.77, 0.17] |
Moodgym | NA | 1 study; 1 intervention arm; N = 719 SMD −0.15 [−0.30, 0.00] |
NA | 1 study; 1 intervention arm; N = 690 SMD −0.13 [−0.28, 0.03] |
NA | NA |
LISA-T | NA | 2 studies; 2 intervention arms; N = 446 SMD −0.07 [−0.26, 0.11] |
NA | 2 studies; 2 intervention arms; N = 435 SMD −0.23 [−0.65, 0.20] |
NA | NA |
Problem solving for Life | NA | 2 studies; 4 intervention arms; N = 2310 SMD −0.14 [−0.25, −0.04] I2 = 29% |
1 study; 3 intervention arms; N = 714 RD −0.06 [−0.12, 0.01] |
1 study; 3 intervention arm; N = 1843 SMD −0.03 [−0.14, 0.08] |
1 study; 1 intervention arm; N = 229 RD 0.01 [−0.06, 0.09] |
2 studies; 4 intervention arms; N = 2207 SMD 0.00 [−0.09, 0.10] |
RAP | 1 study; 1 intervention arm; N = 116 RD −0.17 [−0.33, −0.01] |
1 study; 1 intervention arm; N = 116 SMD −0.32 [−0.68, 0.05] |
1 study; 1 intervention arm; N = 116 RD −0.10 [−0.28, 0.07] |
1 study; 1 intervention arm; N = 116 SMD −0.03 [−0.39, 0.34] |
NA | NA |
Unspecified | 3 studies; 4 intervention arm; N = 667 RD −0.03 [−0.06, 0.01] |
5 studies; 7 intervention arms; N = 956 SMD −0.26 [−0.50, −0.02] I2 = 63% |
2 studies; 3 intervention arms; N = 409 RD −0.09 [−0.15, −0.03] I2 = 0% |
3 studies; 4 intervention arms; N = 717 SMD −0.24 [−0.54, −0.05] |
NA |
1 study; 1 intervention arm; N = 219 SMD −0.25 [−0.52, 0.02] |
Subgroup differences | χ2 = 10.64, | χ2 = 36.31, | χ2 = 4.96, | χ2 = 16.18, | χ2 = 4.47, | χ2 = 13.05, |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
Coping with Stress
Four studies tested the effectiveness of this intervention. There was evidence that it reduced the risk of having a depressive disorder post intervention and at longer-term follow-up. There was also evidence that this program reduced depression symptoms post intervention but not at 3 to 9 or 12 month follow-up. Heterogeneity was high for depressive disorder post intervention (see Table 4).
Friends
Three studies investigated the effectiveness of this intervention. There was no evidence that it reduced the risk of depressive disorder at any time point. Likewise, three studies reporting on depressive symptoms post intervention, and one study reporting on this outcome at 3–9 months follow-up showed no evidence that this program reduced depressive symptoms. At 12-month follow-up 2 studies showed some evidence of a reduction in depressive symptoms (see Table 4).
Positive Thinking Program
One study of this intervention showed there was no evidence that this program reduced depressive disorder at post intervention; however, by 3–9 months follow-up there was some evidence of effect. There was evidence from this same study that the program reduced depression symptoms at post intervention; however, the effect was no longer evident at follow-up (see Table 4).
Blues Program
Two studies of this intervention showed there was some evidence that this program reduced depression symptoms post intervention and at 3–9 months follow-up with no evidence of heterogeneity. There was no evidence that it reduced depressive disorder at any time point (see Table 4).
Aussie Optimism Program
One study of this program showed no evidence of this program in reducing depression symptoms or disorder at any time point (see Table 4).
Stress Inoculation (General)
Two very small studies by the same author tested the effectiveness of a program based on the concept of stress inoculation but did not measure depressive disorder. There was no evidence that this program reduced depression symptoms post intervention with no follow-up measurement (see Table 4).
Confident Kids
This program was tested in one small study that measured depression symptoms post intervention and showed no evidence of effect (see Table 4).
Learn Young, Learn Fair
One large study tested this intervention and showed no evidence of effect on reducing depression symptoms post intervention or at 12-month follow-up (see Table 4).
Teaching Kids to Cope
One study tested this program and while not measuring depressive disorder, did show that this program was effective in reducing depression symptoms post intervention and at 3–9 months follow-up but not at 12-month follow-up (see Table 4).
MOOD-GYM
One large study investigating this program showed there was no evidence of the program’s effectiveness in reducing depression symptoms at post intervention or at 3–9 months follow-up (see Table 4).
LISA-T
There were two studies that tested the effectiveness of this program in reducing depression symptoms that showed no evidence of its effectiveness post intervention or at 3–9 months follow-up and no 12-month follow-up data (see Table 4).
Problem Solving for Life
There was some evidence of the effect of this program in reducing the risk of depressive disorder at 3–9 month that did not reach significance but this effect was not evident at 12-months. While two studies did show some evidence of the effectiveness of this program in reducing depression symptoms post intervention, the effect was no longer evident at 12 month follow-up (see Table 4).
RAP
One study testing the effectiveness of this program showed evidence of a reduction in the risk of depressive disorder post intervention; however, this effect was no longer evident at 3–9 months follow-up (there was no 12-month follow-up data). There was no evidence of the effectiveness of this program in reducing depression symptoms at any time point (see Table 4).
Unspecified
While there was no evidence that this group of general CBT programs reduced the risk of depressive disorder post intervention; there was some evidence of effect of this group of programs at 3–9 month follow-up with no evidence of heterogeneity. No study measured this outcome at 12-month follow-up. There was some evidence of the effectiveness of these general CBT programs in reducing depression symptoms post intervention with evidence of heterogeneity. This effect was not evident at follow-up (see Table 4).
Test for Differences Between Types of Named Programs
There was evidence that the effect on depression symptoms post intervention and at 12 months follow-up was modified by the type of CBT program but not at 3 to 9 months follow-up or for depressive disorder (see Table 4).
3.4. Sensitivity Analyses
The planned sensitivity analyses showed that very few factors modified overall treatment effects. Results indicated a small but significant positive effect of universal interventions in reducing depressive disorder but not depression symptoms post intervention and at 3 to 9 month follow-up and in reducing symptoms but not depressive disorder at 12-month follow-up. There were small but significant positive effects of targeted interventions in reducing both depressive disorder and symptoms at all time points. Even though there were no significant differences between the universal intervention and comparison group at some time points, the direction of treatment effect favoured the universal intervention. The subgroup analysis showed that the overall treatment effects (for universal and targeted interventions combined) were not modified by delivery to a universal or targeted population (See Table 5); that is to say, there is no significant variation in mean effects in the different subgroups. The delivery of 8 or more sessions was more effective in reducing depressive disorder but not depression symptoms at all time points, whereas fewer than 8 sessions had no impact on outcomes; however, the overall treatment effects were not modified by the number of sessions delivered (See Table 6). Delivery of programs by mental health professions reduced depressive disorder and symptoms at all time points, whereas delivery by a non mental health expert only reduced depressive disorder post intervention and at 3 to 9 months follow-up and delivery by a student only resulted in reduced depressive disorder post intervention and depressive symptoms at post intervention and 3 to 9 months follow-up. Again, however, there was no evidence that who delivered the intervention modified the treatment effect (See Table 7). There was evidence that the type of outcome measurement used to measure depression symptoms modified the findings post intervention but not at other time points. When the CDI or BDI was used (these were the most commonly used tools) depressive symptoms were shown to be reduced at 12 months only; when the CES-D was used, symptoms were reduced post intervention and at 3 to 9 months follow-up but not at 12 months; when the RADS was used symptoms were reduced only at post intervention, however, the largest effect size was found on the RADS at this time point (see Table 8). Use of other tools did not show reductions in depressive symptoms at any time point.
Table 5.
Program | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up | |||
---|---|---|---|---|---|---|
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
Universal | 8 studies; 9 intervention arm; N = 1025 RD −0.14 [−0.23, −0.06] I2 = 68% |
21 studies; 26 intervention arm; N = 6519 SMD −0.05 [−0.23, 0.13] |
8 studies; 10 intervention arm; N = 1228 RD −0.13 [−0.21, −0.06] I2 = 70% |
14 studies; 18 intervention arm; N = 4077 SMD −0.02 [−0.27, 0.23] |
6 studies; 7 intervention arm; N = 910 RD −0.06 [−0.15, 0.03] |
10 studies; 14 intervention arm; N = 3737 SMD −0.08 [−0.14, −0.01] I2 = 68% |
Targeted | 6 studies; 7 intervention arms; N = 751 RD −0.09 [−0.16, −0.01] I2 = 53% |
18 studies; 21 intervention arms; N = 3363 SMD −0.25 [−0.37, −0.14] I2 = 44% |
7 studies; 9 intervention arms; N = 1255 RD −0.09 [−0.14, −0.05] I2 = 0% |
13 studies; 16 intervention arms; N = 2880 SMD −0.18 [−0.30, −0.07] I2 = 41% |
3 studies; 3 intervention arm; N = 239 RD −0.14 [−0.24, −0.04] I2 = 0% |
7 studies; 8 intervention arm; N = 1902 SMD −0.14 [−0.28, 0.00] I2 = 41% |
Subgroup differences | χ2 = 0.99, | χ2 = 3.37, | χ2 = 0.75, | χ2 = 1.39, | χ2 = 1.38, | χ2 = 0.61, |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
Table 6.
Sessions | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up | |||
---|---|---|---|---|---|---|
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
8 or more | 13 studies; 15 intervention arm; N = 1503 RD −0.13 [−0.20, −0.07] I2 = 71% |
32 studies; 39 intervention arm; N = 8014 SMD −0.13 [−0.28, 0.01] |
12 studies; 16 intervention arm; N = 1881 RD −0.12 [−0.17, −0.07] I2 = 55% |
22 studies; 28 intervention arm; N = 5167 SMD −0.09 [−0.28, 0.10] |
9 studies; 10 intervention arms; N = 1149 RD −0.08 [−0.16, −0.00] I2= 75% |
16 studies; 21 intervention arm; N = 5047 SMD −0.11 [−0.17, −0.04] |
<8 | 1 study; 1 intervention arm; N = 273 RD −0.01 [−0.11, 0.09] |
7 studies; 7 intervention arms; N = 1251 SMD −0.17 [−0.36, 0.02] |
2 studies; 2 intervention arms; N = 373 RD −0.07 [−0.14, 0.01] |
5 studies; 5 intervention arms; N = 1184 SMD −0.13 [−0.26, 0.00] |
0 studies | 0 studies |
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
Subgroup differences |
χ2 = 4.50, p = 0.03 |
χ2 = 0.09, p = 0.76 | χ2 = 1.28, p = 0.26 | χ2 = 0.09, p = 0.76 | NA | NA |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
Table 7.
Delivery | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up | |||
---|---|---|---|---|---|---|
Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | Depressive disorder (RD) | Depression symptoms (SMD) | |
Mental health expert | 5 studies; 5 intervention arm; N = 665 RD −0.10 [−0.18, −0.01] I2 = 71% |
15 studies; 15 intervention arm; N = 2649 SMD −0.24 [−0.37, −0.11] I2 = 54% |
5 studies; 5 intervention arm; N = 883 RD −0.11 [−0.16, −0.06] I2 = 0% |
12 studies; 12 intervention arm; N = 2612SMD −0.21 [−0.33, −0.09] I2 = 52% |
2 studies; 2 intervention arm; N = 195 RD −0.12 [−0.24, −0.01] I2 = 0% |
8 studies; 8 intervention arm; N = 1718SMD −0.17 [−0.29, −0.05] I2 = 21% |
Non mental health expert | 4 studies; 4 intervention arms; N = 597 RD −0.18 [−0.35, −0.02] I2 = 80% |
14 studies; 15 intervention arms; N = 5267 SMD 0.04 [−0.20, 0.28] |
5 studies; 5 intervention arms; N = 1065 RD -0.13 [−0.22, −0.05] I2 = 63% |
8 studies; 8 intervention arms; N = 2861 SMD 0.12 [−0.24, 0.47] |
4 studies; 4 intervention arm; N = 595 RD −0.02 [−0.09, 0.04] |
7 studies; 8 intervention arm; N = 3397 SMD −0.06 [−0.13, 0.01] |
Student | 5 studies; 5 intervention arms; N = 514 RD −0.08 [−0.13, −0.03] I2 = 0% |
12 studies; 13 interventionarms; N = 1143 SMD −0.24 [−0.41, −0.07] I2 = 36% |
5 studies; 5 intervention arms; N = 306 RD −0.08 [−0.18, 0.02] |
8 studies; 9 intervention arms; N = 597 SMD −0.19 [−0.37, −0.00] I2 = 15% |
3 studies; 3 intervention arm; N = 359 RD −0.09 [−0.28, 0.11] |
3 studies; 3 intervention arms; N = 340 SMD −0.21 [−0.53, 0.10] |
Subgroup differences | χ2 = 1.30, p = 0.52 | χ2 = 4.44, p = 0.11 | χ2 = 0.55, p = 0.76 | χ2 = 2.82, p = 0.24 | χ2 = 2.55, p = 0.28 | χ2 = 2.79, p = 0.25 |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
Table 8.
Tool | Post Intervention | 3–9 Month Follow-up | 12-Month Follow-up |
---|---|---|---|
Depression Symptoms (SMD) | Depression Symptoms (SMD) | Depression Symptoms (SMD) | |
CDI/BDI | 24 studies; 30 intervention arm; N = 5686 SMD −0.06 [−0.26, 0.13] I2 = 90% |
17 studies; 22 intervention arm; N = 4085 SMD −0.05 [−0.29, 0.19]I2 = 91% |
12 studies; 17 intervention arm; N = 3770 SMD −0.10 [−0.18, -0.03] I2 = 4% |
CES-D | 9 studies; 10 intervention arms; N = 2022 SMD −0.24 [−0.35, −0.13] I2 = 17% |
7 studies; 8 intervention arms; N = 1832 SMD −0.18 [−0.29, −0.06] I2 = 23% |
2 studies; 2 intervention arm; N = 196 SMD −0.25 [−0.77, 0.27] |
RADS | 3 studies; 3 intervention arms; N = 213SMD −0.42 [−0.69, −0.14]I2 = 0% |
2 studies; 2 intervention arms; N = 192SMD −0.24 [−0.69, 0.22] |
1 study; 1 intervention arms; N = 70 SMD −0.30 [−0.77, 0.17] |
Other | 3 studies; 3 intervention arms; N = 1344 SMD −0.00 [−0.11, 0.11] |
1 study; 1 intervention arm; N = 242 SMD −0.02 [−0.27, 0.24] |
1 study; 1 intervention arm; N = 1011 SMD −0.02 [−0.15, 0.10] |
Subgroup differences | χ2 = 14.45, p = 0.002 | χ2 = 2.11, p = 0.55 | χ2 = 2.46, p = 0.48 |
RD: Risk Difference; SMD: Standardised Mean Difference; Bold font indicates significant results.
Further sensitivity analyses were undertaken where the effect of moderators was explored separately in programs delivered to universal populations and for programs delivered to targeted populations. This was undertaken on the basis that the factors that may modify overall treatment effect systematically differed across universal and targeted programs, for example, targeted programs were most often delivered by mental health clinicians, whereas, universal programs were mostly delivered by non mental health clinicians and students (See Table 2).
The overall effect of targeted programs on depression symptoms was modified by the type of therapeutic approach taken to depression prevention (CBT vs. IPT vs. other) post intervention and at 3 to 9 month but the treatment effect on depressive disorder was not modified by the therapeutic approach. For universal programs, the overall effect on depressive disorder was modified by the therapeutic approach post intervention and at 3 to 9 months but not at 12 months and the overall effect on symptoms was modified at 12 months only.
For targeted programs, the overall effect on depression symptoms was modified by the specific program type only at post intervention (and no longer at 12 months); and for universal programs there was no evidence that the specific type of program modified the overall treatment effect. The numbers of studies in each subgroup was greatly reduced by splitting the analysis.
While we found no modifying effect on outcome of the number of sessions delivered when universal and targeted programs were analysed together; when investigated separately, the overall effect on depression symptoms of targeted programs was modified by the number of sessions delivered post intervention only. For universal programs, the overall treatment effect on depressive disorder was modified by the number of sessions delivered post intervention only. In both cases, delivery of 8 or more sessions resulted in a significantly greater reduction in symptoms or depressive disorder respectively, whereas there was no difference in outcomes when fewer than 8 sessions were delivered. Again the small number of studies, particularly in the subgroup in which the intervention comprised fewer than 8 sessions should be noted; indeed often there were no data available for these intervention.
There was no evidence the treatment effect was modified by who delivered the intervention for either targeted or for universal programs. Similarly, there was no evidence that the tool that was used to measure outcome modified the treatment effect when targeted and universal programs were considered separately, in contrast to when they were considered together.
4. Discussion
4.1. Principal Findings
While overall the findings indicate small but significant effect sizes suggesting a small but positive effect on reducing depression symptoms and disorders, one of the most striking findings from this exploratory re-analysis of depression prevention programs is the variation in outcome across trials. There is some evidence that more consideration should be given to the specific therapeutic approach used in depression preventions programs. CBT is the most studied type of intervention and there is some evidence of its efficacy in reducing the risk of developing a depressive disorder and reducing depression symptoms. IPT appears promising from the trials that included intervention arms using a purely IPT based intervention [39,61]; two combined IPT with CBT but it is impossible to tease out the differential effects of the IPT approach from these trials. A number of other trials that tested a range of interventions showed little consistent evidence of effectiveness.
While this review shows some evidence of the efficacy of CBT based depression prevention interventions, there was significant statistical heterogeneity across these trials (of CBT) at most time points and we sought to explore this by investigating whether each of the different CBT programs modified the overall effect of CBT. Overall the treatment effect for depression symptoms (but not disorder) was modified by the specific type of program used; however, when targeted and universal programs were considered separately, this effect was less apparent only being seen for targeted programs at the post intervention time point. This may be because there were few universal programs that used the Coping with Stress Course. Overall, there was limited power for these analyses when potential modifiers were considered separately for targeted and universal programs because the majority of programs have been tested in only a handful of trials.
Nevertheless, as far as targeted programs are concerned for individual results, The Penn Resiliency Program is the most studied of the named CBT prevention programs and showed consistent results across outcomes and time points, albeit with heterogeneity demonstrated for the outcome of depressive disorder across, particularly for the universal studies, (compared to Coping with Stress). Our results are consistent with another review of the PRP [15]. This program has a considerable focus on cognitive skills, as well as including a focus on problem solving.
The Coping with Stress program also has impressive results in terms of preventing the onset of depressive disorder up to 12 months follow-up, as well as reducing depression symptoms at post intervention and 3–9 months follow-up. This program focuses almost entirely on cognitive restructuring skills, with only three trials of this program including behavioural activation [22,59], one of which was only in the continuation phase [32]. However, one of the issues with this program is that not only has it mostly been delivered as a targeted intervention, but in several of the studies of Coping with Stress participants were included after a two-stage screening procedure to identify adolescents with at least one parent with a history of depression as well as elevated depression symptoms. In one study [32] this resulted in the identification of a large number of young people who had previously suffered from depressive disorder, so that this “prevention” program was strictly a relapse prevention program rather than primary prevention. We are also aware that a recent study that we were unable to include in this analysis tested this intervention in a real world effectiveness study in Santiago, Chile and there was no significant effect of the program in preventing depression [62].
There were too few studies of the remaining CBT programs and the results varied across outcomes and time points so that robust conclusions about their effectiveness cannot be drawn. It is worth noting three of these programs as having some initial evidence of effectiveness. The Blues Program includes only four sessions and focuses on cognitive restructuring and includes behavioural activation and results indicated a small and significant effect in reducing depression symptoms post intervention and at 3 to 9 months follow-up with no effect of depressive disorder. The Teaching Kids to Cope Program emphasizes skills to cope with stress, including social skills training, assertiveness training, conflict resolution and relaxation. However, the incidence of depressive disorder was not measured. The Positive Thinking Program is based on the “Aussie Optimism Program” [50], which included cognitive restructuring, and training in relaxation and distraction skills. While the results indicated a small and significant effect reducing the risk of the onset of depressive disorder at 3–9 months follow-up, it was small study.
There was some evidence for the effectiveness of the group of programs we classified as “unspecified” at post intervention and 3 to 9 month follow-up. One mentioned the Coping with Stress program [20], but also included elements of interpersonal therapy and problem solving. Three included a major [40] or some aspects of social skills training [29,54]. The study reported in Clarke included a psychoeducation intervention [29]. Hyun [40] was aimed at preventing depression in runaway youth and included cognitive restructuring, behavioural activation and relaxation with a focus on aspects of homelessness.
While some reviews have suggested that targeted but not universal prevention programs are effective [7,8], and the results from this study at individual time points more often reveal significant findings for the targeted programs; the current study showed that the results were not moderated by type of prevention (universal versus targeted). It is important to realize that targeted interventions are more likely to show effect simply because they start with a group of young people with higher baseline levels of depression. The fact that there is so little difference between findings for universal and targeted approaches should lead us to be cautious in assuming superiority of one approach over the other, particularly as targeted interventions are often harder to implement, and risk missing a large number of people who could benefit from the intervention [63].
The measurement tool that is used may have an impact on findings, with the RADS being associated with the largest effect sizes when all the studies are considered together. This may be because of the psychometric properties in community populations. The change in scores on the RADS is generally small compared with the standard deviation whereas the change scores on the CDI and BDI are large compared with the standard deviation (for example see Merry et al. [64]). RADS is recommended as a good measure of depression in community populations [65]. The studies of the Coping with Stress programs all used CES-D as an outcome measurement, although the most robust findings are derived from a measure of period prevalence of depressive disorder. The PRP programs used the CDI or BDI. The CDI, which was designed for a clinical rather than a community population, has been criticized for its less than optimal ability to detect treatment effects, particularly in non-clinical populations [65]. Interestingly, when investigated separately for targeted and universal intervention studies, the type of tool used was no longer a significant modifier of treatment effects.
When analysed separately, the number of sessions delivered did modify the treatment effects post intervention for both targeted and universal interventions. This finding is consistent with a meta-analysis of 69 programs to reduce depression in children, adolescents, adults and older adults. In this analysis interventions of more than eight sessions were more effective than those of shorter duration [66].
We did not specifically explore the impact of online delivery on treatment effects as this was only tested in one study; however, this delivery mode is becoming very popular and since our search was conducted, we are aware of some published and ongoing studies, with innovative approaches seeking to overcome issues with how to deliver depression prevention interventions on a large scale [65,67].
4.2. Strengths and Weakness of the Study
This study represents a secondary and post-hoc exploratory analysis of data from a larger Cochrane systematic review [12]. Additionally, the use of subgroup analyses to test differences in effectiveness based on various factors does not provide robust assurance of any true treatment differences given they represent indirect comparisons; head-to-head trials of different approaches are the only robust way to investigate the impact of different treatment approaches on outcomes. Given this, the results should be treated with some caution and used to derive hypotheses to be tested in further studies, for example, studies that incorporate a head-to-head design. Further caution in interpretation is required because of the limited power to adequately test effectiveness of approaches to intervention where there were very few trials.
We are aware that in several instances, our results do not reflect the positive findings of trial authors in the original paper publications. It should be noted that the software used to undertake these meta-analyses [19] might implement analyses that are less sensitive than the analyses employed by trial authors. Additionally, we have used final scores, as this is primarily what is reported in the original publications, and these data provide a less sensitive measure of change than do change scores.
It also should be noted that the dataset for this study was drawn from a Cochrane review [12], the search for which was undertaken late in 2010, meaning that there are a number of relevant trials that have been published since that are not included in this analysis.
4.3. Strengths and Weaknesses in Relation to other Studies, Discussing Important Differences in Results
Several previous systematic reviews and meta-analyses have been undertaken, assessing the effectiveness of depression prevention programs generally and on the whole conclude that they are likely to be of benefit [7,8,10,11,15]. Only one of these reports a meta-analysis based on depressive diagnosis, and in line with our recent update of the Cochrane systematic review [12] shows a reduction in the number of diagnoses [15]. These two reviews note the small number of trials that have depressive diagnosis as an outcome and conclude that more studies are required to “prove the concept” [12,15], primarily because of this issue.
However, few meta-analyses have attempted to identify which approaches to depression prevention may be more promising, nor formats suitable for large scale roll-out. Given findings of our updated Cochrane systematic review showing that both targeted and universal interventions do have ongoing effects (albeit only till 3 to 9 months for universal interventions), this would now seem a priority. Our study is the only we know of to explore whether the therapeutic approach or specific program type modifies the overall treatment effects of depression prevention programs for children and adolescents. Brunwasser [15] looked at one specific type of CBT intervention program, the Penn Resiliency Programs, and while showed some inconsistency in the findings, highlighted promising results. A meta-analysis of 69 programs to reduce depression in children, adolescents, adults and older adults highlighted the importance of delivering more than eight sessions that were of longer duration, delivery by health care professionals and of using multicomponent programs that included an element of competency training (e.g., skill training, social resistance skills) [66]. Our analysis showed that the number of sessions may be important but showed no impact of who delivered the programs. Differences may be due to there being far less variation in the type of therapeutic approaches used in the trials included in our review, where the majority were CBT-based programs.
It may be that different approaches are more effective for targeted compared with universal interventions. We have shown that CBT, and for targeted interventions, the Coping with Stress Program in particular, hold some promise in terms of preventing depression in children and adolescents, although data on other approaches is very limited. It is important to note that a recent well designed effectiveness study did not find the Coping with Stress program delivered as a universal intervention prevented depression compared to no intervention (standard school curriculum) [64]. Indeed, the work by Stice and colleagues [58,59] shows a wide range of interventions were equally effective; and our Cochrane review [12] showed no difference between depression prevention programs and placebo or active comparison groups. This highlights the concern that there may be an important placebo effect operating.
4.4. Implications
Preventing depressive disorder is a tantalizing goal. On the one hand many studies show promise, and indeed are mostly similar in content, and yet it has thus far proved impossible to get consistent results, or to take the programs to scale effectively. This does not mean that our efforts should stop, but we should be taking a new tack.
New studies are constantly being published in this area; however, many are reiterations of past approaches. It is important to take stock of the large number of trials undertaken so far and stop repeating these. While similar in content, there are differences in the specific techniques included in each program as well as the approach to implementation in terms of the types of supporting materials and how these are used [10]. This is not dissimilar to the treatment field where substantial variations in treatment protocols for CBT in terms of the approaches and techniques they emphasise have been highlighted [68] with similar calls to explore the most effective components [68,69]. In the area of prevention, we now need to identify the components of the programs that might be the most effective and combine these using an effective mode of delivery that can be disseminated in a scalable strategy that ensures good uptake of the program. Many trials have good processes in place to try and ensure treatment fidelity, but in any ongoing delivery of a prevention program across a large population, it is going to be difficult to match these efforts and even with these in place there can be variability in effect within the same program.
Perhaps the use of computerized delivery of interventions is a way forward. This field is in its infancy currently, but results of trials of computerized CBT indicate potential benefits for treating depression in adolescents [26,70]. It is certainly scalable and consistent but whether this mode of delivery is effective across large populations is not yet known.
It is difficult to determine the active components of CBT programs that may have resulted in the treatment effects demonstrated, largely due to inconsistent reporting of the component skills and techniques used and the approach in terms of supporting materials. Our study points to the Penn Resiliency Program and Coping with Stress program as potential candidate for large scale roll out with both having a particular focus on cognitive restructuring (and problem solving in the Penn Resiliency Program); however, we have already noted the complicated screening process used in some of the most effective studies. This is not feasible in terms of a public health intervention. It is salutary that its effectiveness was not shown in a real world trial [64]. Similarly, particularly for studies that delivered PRP to universal interventions there was considerable variation across studies.
Our findings are based on observational data from exploratory post-hoc subgroup analysis and hypotheses derived from this should be tested in a-priori head-to-head RCTs to test which approaches, programs or components of these should be implemented in large-scale public health initiatives. Such trials should measure the onset of depressive disorder as an outcome at 12-month follow-up or longer. Scalability should be tested, particularly in terms of implementation in a universal population, or identification of targeted populations and who and how content is delivered. Technology based approaches to delivery have appeal but like any other approach need to be rigorously tested. We have not yet found the Holy Grail of an effective prevention program but the quest should continue.
5. Conclusions
Large numbers of trials testing the effectiveness of depression prevention interventions have been tested, and while overall they show promising results, there is considerable variability across study outcomes. It is important now to turn our attention to identifying the most effective approaches to depression prevention that are also scalable as large scale public health interventions. CBT certainly appears to be good contender, however, CBT includes a large range of skills, techniques and supporting materials that have been variously incorporated into treatment protocols to date, so that even within this approach it is still the case that the most effective core components need to be identified. Further, there may other approaches that might be effective; few studies have employed IPT, although this approach appears promising. More research is needed to identify the specific components of CBT and other therapies that are most effective, or indeed if there are other approaches that are more effective in reducing the risk of future depressive episodes. It is imperative that prevention programs are suitable for large-scale rollout, and that emerging popular modes of delivery, are considered. Unfortunately, to the question “Are we there yet?” the answer must be “No. We still have a way to go!”
Acknowledgements
Our thanks to Tessa Brudevold-Iversen, Julliet Bir and Heather McDowell for their contribution to the Cochrane systematic review that underpins this current study.
Author Contributions
Sally N. Merry, Sarah E. Hetrick and Georgina R. Cox conceived of the study. Sarah E. Hetrick and Georgina R. Cox were responsible for undertaking the analyses. Sarah E. Hetrick was responsible for preparing the manuscript, which was revised by all authors. All authors read and approved the final manuscript.
Conflicts of Interest
Sally Merry is the principal investigator and first author of a depression prevention trial included in the original Cochrane systematic review. There are no other conflicts of intervention to declare.
References
- 1.Costello J.E., Erkanli A., Angold A. Is there an epidemic of child or adolescent depression? J. Child Psychol. Psychiatry. 2006;47:1263–1271. doi: 10.1111/j.1469-7610.2006.01682.x. [DOI] [PubMed] [Google Scholar]
- 2.Kessler R.C., Kessler R.C., Berglund P., Demler O., Jin R., Merikangas K.R., Walters E.E. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey replication. Arch. General Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
- 3.Belsher G., Costello C.G. Relapse after recovery from unipolar depression: A critical review. Psychol. Bull. 1988;104:84–96. doi: 10.1037/0033-2909.104.1.84. [DOI] [PubMed] [Google Scholar]
- 4.Birmaher B., Ryan N.D., Williamson D.E., Brent D.A., Kaufman J., Dahl R.E., Perel J., Nelson B.L. Childhood and adolescent depression: A review of the past 10 years: Part 1. J. Am. Acad. Child Adolesc. Psychiatry. 1996;35:1427–1439. doi: 10.1097/00004583-199611000-00011. [DOI] [PubMed] [Google Scholar]
- 5.Lewinsohn P.M., Rohde P., Seeley J.R. Major depressive disorder in older adolescents: Prevalence, risk factors and clinical implications. Clin. Psychol. Rev. 1998;18:765–794. doi: 10.1016/S0272-7358(98)00010-5. [DOI] [PubMed] [Google Scholar]
- 6.Gould M.S., King R., Greenwald S., Fisher P., Schwab-Stone M., Kramer R., Flisher A.J., Goodman S., Canino G., Shaffer D. Psychopathology associated with suicidal ideation and attempts among children and adolescents. J. Am. Acad. Child Adolesc. Psychiatry. 1998;37:915–923. doi: 10.1097/00004583-199809000-00011. [DOI] [PubMed] [Google Scholar]
- 7.Stice E., Shaw H., Bohon C., Marti C.N., Rohde P. A meta-analytic review of depression prevention programs for children and adolescents: Factors that predict magnitude of intervention effects. J. Consult. Clin. Psychol. 2009;77:486–503. doi: 10.1037/a0015168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Horowitz J., Garber J. The prevention of depressive symptoms in children and adolescents: A meta-analytic review. J. Consult. Clin. Psychol. 2006;74:401–415. doi: 10.1037/0022-006X.74.3.401. [DOI] [PubMed] [Google Scholar]
- 9.Neil A.L., Christensen H. Australian school-based prevention and early intervention programs for anxiety and depression: A systematic review. Med. J. Aust. 2007;186 doi: 10.1016/j.enfcli.2011.03.002. [DOI] [PubMed] [Google Scholar]
- 10.Gillham J.E., Shatté A.J., Freres D.R. Preventing depression: A review of cognitive-behavioral and family interventions. Appl. Prev. Psychol. 2000;9:63–88. doi: 10.1016/S0962-1849(00)80007-4. [DOI] [Google Scholar]
- 11.Gladstone T., Beardslee W. The prevention of depression in children and adolescents: A review. Can. J. Psychiatry. 2009;54:212–221. doi: 10.1177/070674370905400402. [DOI] [PubMed] [Google Scholar]
- 12.Merry S.N., Hetrick S.E., Cox G.R., Brudevold-Iversen T., Bir J.J., McDowell H. Psychological and educational interventions for preventing depression in children and adolescents. Cochrane Database Syst. Rev. 2011 doi: 10.1002/14651858.CD003380.pub3. [DOI] [PubMed] [Google Scholar]
- 13.Stellard P., Sayal K., Phillips R., Taylor J.A., Spears M., Anderson R., Araya R., Lewis G., Milings A., Montgomery A.A. Classroom based cognitive behavioural therapy in reducing symptoms of depression in high risk adolescents: Pragmatic cluster randomised controlled trial. Br. Med. J. 2012;345 doi: 10.1136/bmj.e6058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Harnett P.H., Dadds M.R. Training school personnel to implement a universal school-based prevention of depression program under real-world conditions. J. School Psychol. 2004;42:343–357. doi: 10.1016/j.jsp.2004.06.004. [DOI] [Google Scholar]
- 15.Brunwasser S.M., Gillham J.E., Kim E.S. A meta-analytic review of the Penn Resiliency Program’s effect on depressive symptoms. J. Consult. Clin. Psychol. 2009;77:1042–1054. doi: 10.1037/a0017671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Higgins J.P.T., Green S. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. 2011. [(accessed on 18 March 2011)]. Available online: http://www.cochrane-handbook.org.
- 17.Higgins J.P., Altman D.G., Gotzsche P.C., Juni P., Moher D., Oxman A.D., Savovic J., Schulz K.F., Weeks L., Sterne J.A. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343 doi: 10.1136/bmj.d5928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Borenstein M., Hedges L.V., Higgins J.P.T., Rothstein H.R. Introduction to Meta-Analysis. John WIley & Sons; Chichister, UK: 2008. [Google Scholar]
- 19.Review Manager (RevMan). Version 5.0. The Nordic Cochrane Centre, The Cochrane Collaboration; Copenhagen, Denmark: 2008. RevMan. [Google Scholar]
- 20.Arnarson E.Ö., Craighead W.E. Prevention of depression among Icelandic adolescents. Behav. Res. Therapy. 2009;47:577–585. doi: 10.1016/j.brat.2009.03.011. [DOI] [PubMed] [Google Scholar]
- 21.Balle M., Tortella-Feliu M. Efficacy of a brief school-based program for selective prevention of childhood anxiety. Anxiety Stress Coping. 2010;23:71–85. doi: 10.1080/10615800802590652. [DOI] [PubMed] [Google Scholar]
- 22.Berry K., Hunt C.J. Evaluation of an intervention program for anxious adolescent boys who are bullied at school. J. Adolesc. Health. 2009;45:376–382. doi: 10.1016/j.jadohealth.2009.04.023. [DOI] [PubMed] [Google Scholar]
- 23.Barnet B., Liu J., DeVoe M., Alperovitz-Bichell K., Duggan A.K. Home visiting for adolescent mothers: Effects on parenting, maternal life course, and primary care linkage. Ann. Fam. Med. 2007;5:224–232. doi: 10.1370/afm.629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bond L., Patton G., Glover S., Carlin J.B., Butler H., Thomas L., Bowes G. The gatehouse project: Can a multilevel school intervention affect emotional wellbeing and health risk behaviours? J. Epidemiol. Community Health. 2004;58:997–1003. doi: 10.1136/jech.2003.009449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Cabiya J.J., Padilla-Cotto L., Gonzalez K., Sanchez-Cestero J., Martinez-Taboas A., Sayers S. Effectiveness of a cognitive-behavioral intervention for Puerto Rican children. Rev. Interam. Psicol. 2008;42:195–202. [Google Scholar]
- 26.Calear A.L., Christensen H., Mackinnon A., Griffiths K.M., O’Kearney R. The YouthMood Project: A cluster randomized controlled trial of an online cognitive behavioral program with adolescents [ISRCTN67189839] J. Consult. Clin. Psychol. 2009;77:1021–1032. doi: 10.1037/a0017391. [DOI] [PubMed] [Google Scholar]
- 27.Cardemil E.V., Reivich K.J., Seligman M. The prevention of depressive symptoms in low-income minority middle school students. Prev. Treat. 2002;5 doi: 10.1037/1522-3736.5.1.58a. [DOI] [PubMed] [Google Scholar]
- 28.Chaplin T.M., Gillham J.E., Reivich K., Elkon A.G., Samuels B., Freres D.R., Winder B., Seligman M.E. Depression prevention for early adolescent girls a pilot study of all girls versus co-ed groups. J. Early Adolesc. 2006;26:110–126. doi: 10.1177/0272431605282655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Clarke G.N., Hawkins W., Murphy M., Sheeber L. School-based primary prevention of depressive symptomatology in adolescents findings from two studies. J. Adolesc. Res. 1993;8:183–204. doi: 10.1177/074355489382004. [DOI] [Google Scholar]
- 30.Clarke G.N., Hawkins W., Murphy M., Sheeber L.B., Lewinsohn P.M., Seeley J.R. Targeted prevention of unipolar depressive disorder in an at-risk sample of high school adolescents: A randomized trial of group cognitive intervention. J. Am. Acad. Child Adolesc. Psychiatry. 1995;34:312–321. doi: 10.1097/00004583-199503000-00016. [DOI] [PubMed] [Google Scholar]
- 31.Clarke G.N., Hornbrook M., Lynch F., Polen M., Gale J., Beardslee W., O’Connor E., Seeley J.R. A randomized trial of a group cognitive intervention for preventing depression in adolescent offspring of depressed parents. Arch. Gen. Psychiatry. 2001;58:1127–1134. doi: 10.1001/archpsyc.58.12.1127. [DOI] [PubMed] [Google Scholar]
- 32.Garber J., Clarke G.N., Weersing V.R., Beardslee W.R., Brent D.A., Gladstone T.R.G., DeBar L.L., Lynch F.L., Hollon S.D., Shamseddeen D., et al. Prevention of Depression in at-risk adolescents: A randomized controlled trial. JAMA. 2009;301:2215–2224. doi: 10.1001/jama.2009.788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gillham J.E., Reivich K.J., Jaycox L.H., Seligman M.E. Prevention of depressive symptoms in schoolchildren: Two-year follow-up. Psychol. Sci. 1995;6:343–351. doi: 10.1111/j.1467-9280.1995.tb00524.x. [DOI] [Google Scholar]
- 34.Gillham J.E., Reivich K.J., Freres D.R., Lascher M., Litzinger S., Shatté A., Seligman M.E. School-based prevention of depression and anxiety symptoms in early adolescence: A pilot of a parent intervention component. School Psychol. Q. 2006;21:323–348. doi: 10.1521/scpq.2006.21.3.323. [DOI] [Google Scholar]
- 35.Gillham J.E., Hamilton J., Freres D.R., Patton K., Gallop R. Preventing depression among early adolescents in the primary care setting: A randomized controlled study of the Penn Resiliency Program. J. Abnorm. Child Psychol. 2006;34:203–219. doi: 10.1007/s10802-005-9014-7. [DOI] [PubMed] [Google Scholar]
- 36.Gillham J.E., Reivich K.J., Freres D.R., Chaplin T.M., Shatté A.J., Samuels B., Elkon A.G.L., Litzinger S., Lascher M., Gallop R., et al. School-based prevention of depressive symptoms: A randomized controlled study of the effectiveness and specificity of the Penn Resiliency Program. J. Consult. Clin. Psychol. 2007;75 doi: 10.1037/0022-006X.75.1.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hains A.A., Szyjakowski M. A cognitive stress-reduction intervention program for adolescents. J. Couns. Psychol. 1990;27:79–84. doi: 10.1037/0022-0167.37.1.79. [DOI] [Google Scholar]
- 38.Hains A. Comparison of cognitive-behavioural stress management techniques with adolescent boys. J. Cons. Dev. 1992;70:600–605. doi: 10.1002/j.1556-6676.1992.tb01668.x. [DOI] [Google Scholar]
- 39.Horowitz J.L., Garber J., Ciesla J.A., Young J.F., Mufson L. Prevention of depressive symptoms in adolescents: A randomized trial of cognitive-behavioral and interpersonal prevention programs. J. Consult. Clin. Psychol. 2007;75:693–706. doi: 10.1037/0022-006X.75.5.693. [DOI] [PubMed] [Google Scholar]
- 40.Hyun M., Chung H.I., Lee Y.J. The effect of cognitive-behavioral group therapy on the self-esteem, depression, and self-efficacy of runaway adolescents in a shelter in South Korea. Appl. Nurs. Res. 2005;18:160–166. doi: 10.1016/j.apnr.2004.07.006. [DOI] [PubMed] [Google Scholar]
- 41.Kraag G., Van Breukelen G.J.P., Kok G., Hosman C. “Learn Young, Learn Fair”, a stress management program for fifth and sixth graders: Longitudinal results from an experimental study. J. Child Psychol. Psychiatry. 2009;50:1185–1195. doi: 10.1111/j.1469-7610.2009.02088.x. [DOI] [PubMed] [Google Scholar]
- 42.Lock S., Barrett P.M. A longitudinal study of developmental differences in universal preventive intervention for child anxiety. Behav. Chang. 2003;20:183–199. doi: 10.1375/bech.20.4.183.29383. [DOI] [Google Scholar]
- 43.Lowry-Webster H.M., Barrett P.M., Lock S. A universal prevention trial of anxiety symptomology during childhood: Results at 1-year follow-up. Behav. Chang. 2003;20:25–43. doi: 10.1375/bech.20.1.25.24843. [DOI] [Google Scholar]
- 44.Pössel P., Horn A.B., Groen G., Hautzinger M. School-based prevention of depressive symptoms in adolescents: A 6-month follow-up. J. Am. Acad. Child Adolesc. Psychiatry. 2004;43:1003–1010. doi: 10.1097/01.chi.0000126975.56955.98. [DOI] [PubMed] [Google Scholar]
- 45.Pössel P., Seemann S., Hautzinger M. Impact of comorbidity in prevention of adolescent depressive symptoms. J. Couns. Psychol. 2008;55:106–117. doi: 10.1037/0022-0167.55.1.106. [DOI] [Google Scholar]
- 46.Puskar K., Sereika S., Tusaie Mumford K. Effect of the Teaching Kids to Cope (TKC©) program on outcomes of depression and coping among rural adolescents. J. Child Adolesc. Psychiatr. Nurs. 2003;16:71–80. doi: 10.1111/j.1744-6171.2003.tb00350.x. [DOI] [PubMed] [Google Scholar]
- 47.Quayle D., Dziurawiec S., Roberts C., Kane R., Ebsworthy G. The effect of an optimism and lifeskills program on depressive symptoms in preadolescence. Behav. Chang. 2001;18:194–203. doi: 10.1375/bech.18.4.194. [DOI] [Google Scholar]
- 48.Rivet-Duval E., Heriot S., Hunt C. Preventing adolescent depression in Mauritius: A universal school-based program. Child Adolesc. Mental Health. 2010;16:86–91. doi: 10.1111/j.1475-3588.2010.00584.x. [DOI] [PubMed] [Google Scholar]
- 49.Roberts C., Kane R., Thomson H., Bishop B., Hart B. The prevention of depressive symptoms in rural school children: A randomized controlled trial. J. Consult. Clin. Psychol. 2003;71:622–628. doi: 10.1037/0022-006X.71.3.622. [DOI] [PubMed] [Google Scholar]
- 50.Roberts C.M., Kane R., Bishop B., Cross D., Fenton J., Hart B. The prevention of anxiety and depression in children from disadvantaged schools. Behav. Res. Therapy. 2010;48:68–73. doi: 10.1016/j.brat.2009.09.002. [DOI] [PubMed] [Google Scholar]
- 51.The Prevention of Depression in 8- to 9-Year-Old Children: A Pilot Study. [(accessed on 6 August 2014)]. Available online: http://espace.library.curtin.edu.au/R/?func=dbin-jump-full&object_id=148912&local_base=GEN01-ERA02.
- 52.Sawyer M.G., Pfeiffer S., Spence S.H., Bond L., Graetz B., Kay D., Sheffield J. School based prevention of depression: A randomised controlled study of the beyondblue schools research initiative. J. Child Psychol. Psychiatry. 2010;51:199–209. doi: 10.1111/j.1469-7610.2009.02136.x. [DOI] [PubMed] [Google Scholar]
- 53.The Prevention of Depression and Anxiety. [(accessed on 6 August 2014)]. Available online: http://www.ppc.sas.upenn.edu/depprevseligman1999.pdf.
- 54.Seligman M.E.P., Schulman P., Tryon A.M. Group prevention of depression and anxiety symptoms. Behav. Res. Therapy. 2007;45:1111–1126. doi: 10.1016/j.brat.2006.09.010. [DOI] [PubMed] [Google Scholar]
- 55.Shatte A.J. Prevention of depressive symtpoms in adolescents: Issues of dissemination and mechanisms of change. Diss. Abstr. Int. Sect. B: Sci. Eng. 1997;57 doi: 10.1037/a0017671. [DOI] [Google Scholar]
- 56.Sheffield J.K., Spence S.H., Rapee R.M., Kowalenko N., Wignall A., Davis A., McLoone J. Evaluation of universal, indicated, and combined cognitive-behavioral approaches to the prevention of depression among adolescents. J. Consult. Clin. Psychol. 2006;74:66–79. doi: 10.1037/0022-006X.74.1.66. [DOI] [PubMed] [Google Scholar]
- 57.Spence S.H., Sheffield J.K., Donovan C.L. Preventing adolescent depression: An evaluation of the problem solving for life program. J. Consult. Clin. Psychol. 2003;71:3–13. doi: 10.1037/0022-006X.71.1.3. [DOI] [PubMed] [Google Scholar]
- 58.Stice E., Burton E., Bearman S.K., Rohde P. Randomized trial of a brief depression prevention program: An elusive search for a psychosocial placebo control condition. Behav. Res. Therapy. 2007;45:863–876. doi: 10.1016/j.brat.2006.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Stice E., Rohde P., Seeley J.R., Gau J.M. Brief cognitive-behavioral depression prevention program for high-risk adolescents outperforms two alternative interventions: A randomized efficacy trial. J. Consult. Clin. Psychol. 2008;76:595–606. doi: 10.1037/a0012645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Yu D.L., Seligman M.E. Preventing depressive symptoms in Chinese children. Prev. Treat. 2002;5 doi: 10.1037/1522-3736.5.1.59a. [DOI] [Google Scholar]
- 61.Young J.F., Mufson L., Davies M. Efficacy of interpersonal psychotherapyadolescent skills training: An indicated preventive intervention for depression. J. Child Psychol. Psychiatry. 2006;47:1254–1262. doi: 10.1111/j.1469-7610.2006.01667.x. [DOI] [PubMed] [Google Scholar]
- 62.Araya R., Fritsch R., Soears M., Rojas G., Martinez V., Barroihet S., Vohringer V., Gunnell D., Stallard P., Guajardo V., et al. School intervention to improve mental health of students in Santiago, Chile. JAMA Pediatr. 2013;167:1004–1010. doi: 10.1001/jamapediatrics.2013.2361. [DOI] [PubMed] [Google Scholar]
- 63.Rose G. The Strategy of Preventive Medicine. 1st ed. Oxford University Press; Oxford, UK: 1992. [Google Scholar]
- 64.Merry S., McDowell H., Wild C., Bir J., Cunliffe R. A randomized placebo-controlled trial of a school-based depression prevention program. J. Am. Acad. Child Adolesc. Psychiatry. 2004;43:538–547. doi: 10.1097/00004583-200405000-00007. [DOI] [PubMed] [Google Scholar]
- 65.Van Voorhees B.W., Fogel J., Reinecke M.A., Gladstone T., Stuart S., Gollan J., Bradford N., Domanico R., Fagan B., Ross R., et al. Randomized clinical trial of an Internet-based depression prevention program for adolescents (Project CATCH-IT) in primary care: 12-Week outcomes. J. Dev. Behav. Pediatr. 2009;30:123–137. doi: 10.1097/DBP.0b013e3181966c2a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.McCarty C.A., Weisz J.R. Effects of psychotherapy for depression in children and adolescents: What we can (and can’t) learn from meta-analysis and component profiling. J. Am. Acad. Child Adolesc. Psychiatry. 2007;46:879–886. doi: 10.1097/chi.0b013e31805467b3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Whittaker R., Merry S.M., Stasiak K., McDowell H., Doherty I., Shepherd M., Dorey E., Parag V., Ameratunga S., Rodgers A. MEMO—A mobile phone depression prevention intervention for adolescents: Development process and postprogram findings on acceptability from a randomized controlled trial. J. Med. Internet Res. 2012;14 doi: 10.2196/jmir.1857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Weersing V.R., Rozenman M., Gonzalez A. Core components of therapy in youth: Do we know what to disseminate? Behav. Modif. 2009;33:24–47. doi: 10.1177/0145445508322629. [DOI] [PubMed] [Google Scholar]
- 69.Hetrick S.E., Cox G.R., Fisher C.A., Bhar S.S., Rice S.M., Davey C.G., Parker A.G. Back to basics: Could behavioural therapy be a better treatment option for youth depression? A critical review. Early Interv. Psychiatry. 2015;9:93–99. doi: 10.1111/eip.12142. [DOI] [PubMed] [Google Scholar]
- 70.Pennant M.E., Loucas C.E., Whittington C., Creswell C., Fonagy P., Fuggle P., Kelvin P., Naqvi S., Stockton S., Kendall T. Computerised therapies for anxiety and depression in children and young people: A systematic review and meta-analysis. Behav. Res. Ther. 2015;67:1–18. doi: 10.1016/j.brat.2015.01.009. [DOI] [PubMed] [Google Scholar]