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Psychological and/or educational interventions for the prevention of depression in children and adolescents
Abstract
BACKGROUND: Depression is the fourth most important disease in the estimation of the burden of disease Murray 1996 and is a common problem with prevalence rates estimated to be as high as 8% in young people. Depression in young people is associated with poor academic performance, social dysfunction, substance abuse, suicide attempts, and completed suicide (NHMRC 1997). This has precipitated the development of programmes aimed at preventing the onset of depression. This review evaluates evidence for the effectiveness of these prevention programmes. OBJECTIVES: To determine whether psychological and/or educational interventions (both universal and targeted) are effective in reducing risk of depressive disorder by reducing depressive symptoms immediately after intervention or by preventing the onset of depressive disorder in children and adolescents over the next one to three years. SEARCH STRATEGY: The Cochrane Depression, Anxiety and Neurosis Group trials register (August 2002), MEDLINE (1966 to December Week 3 2002), EMBASE (1980 to January Week 2 2003), PsychInfo (1886 to January Week 2 2003) and ERIC (1985 to December 2002) were searched. In addition, conference abstracts, the reference lists of included studies, and other reviews were searched and experts in the field were contacted. SELECTION CRITERIA: Each identified study was assessed for possible inclusion by two independent reviewers based on the methods sections. The determinants for inclusion were that the trial include a psychological and/or educational prevention programme for young people aged 5 to 19 years-old, who did not meet DSM or ICD criteria for depression and/or did not fall into the clinical range on standardised, validated, and reliable rating scales of depression. DATA COLLECTION AND ANALYSIS: The methodological quality of the included trials was assessed by two independent reviewers according to a list of pre-determined criteria, which were based on quality ratings devised by Moncrieff and colleagues (Moncrieff 2001). Outcome data was extracted and entered into Revman 4.2. Means and standard deviations for continuous outcomes and number of events for dichotomous outcomes were extracted where available. For trials where the required data were not reported or could not be calculated, further details were requested from first authors. If no further details were provided, the trial was included in the review and described, but not included in the meta-analysis. Results were presented for each type of intervention: targeted or universal interventions; and educational or psychological interventions and if data were provided, by gender. Where possible data were combined in meta-analyses to give a treatment effect across all trials. Sensitivity analysis were conducted on studies rated as "adequate" or "high" quality, that is with a score over 22, based on the scale by Moncrieff et al (Moncrieff 2001). The presence of publication bias was assessed using funnel plots. MAIN RESULTS: Studies were divided into those that compared intervention with an active comparison or placebo (i.e. a control condition that resembles the intervention being investigated but which lacks the elements thought to be active in preventing depression) and those that used a "wait-list" or no intervention comparison group. Only two studies fell into the former category and neither showed effectiveness although one study was inadequately powered to show a difference and in the other the "placebo" contained active therapeutic elements, reducing the ability to demonstrate a difference from intervention. Psychological interventions were effective compared with non-intervention immediately after the programmes were delivered with a significant reduction in scores on depression rating scales for targeted (standardised mean difference (SMD) of -0.26 and a 95% confidence interval (CI) of -0.40 to -0.13 ) but not universal interventions (SMD -0.21, 95% CI -0.48, 0.06), with a significant effect maintained on pooling data (SMD -0.26, 95% CI -0.36, -0.15). While small effect sizes were reported, these were associated with a significant reduction in depressive episodes. The overall risk difference after intervention translates to "numbers needed to treat" (NNT) of 10. The most effective study is the targeted programme by Clarke (Clarke 2001) where the initial effect size of -0.46 is associated with an initial risk difference of -0.22 and NNT 5. There was no evidence of effectiveness for educational interventions. Reports of effectiveness for boys and girls were contradictory. The quality of many studies was poor, and only two studies made allocation concealment explicit. Sensitivity analysis of only high quality studies did not alter the results significantly. The only analysis in which there was significant statistical heterogeneity was the sub-group analysis by gender where there was variability in the response to different programmes for both girls and boys. For the most part fu
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“In contrast to multiple meta-analyses of different depression intervention programs supporting superior effects among selective to universal samples (Horowitz and Judy, 2006; Merry et al., 2004; Stice et al., 2009), our analyses point at the potential of equivalent effects for online guided self-help interventions among these samples in the college context.”
From Meta-analytic review of online guided self-help interventions for depressive symptoms among college students (2021) · cites this paper as Merry et al., 2004
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BackgroundRapee, R. M., Wignall, A., Sheffield, J., Kowalenko, N., Davis, A., McLoone, J., & Spence, S. H. (2006) · Prevention Science · doi:10.1007/s11121-006-0035-4 · Cited by 87
“…this stage seems to favor indicated programs and many authors have agreed that the cost savings found with indicated programs makes these the most cost-effective methods of program delivery for the prevention of adolescent depression (Andrews et al., 2002; Clarke et al., 1995; Merry et al., 2004).”
BackgroundThe FRIENDS emotional health prevention programme
Stallard, P. N., Simpson, N., Anderson, S. A., & Goddard, M. (2007) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-007-0665-5 · Cited by 86
“Reviews have highlighted that mental health prevention programmes can have a positive effect upon anxiety and depression [7, 11, 21, 28].”
BackgroundThe Relation Between Eating- and Weight-Related Disturbances and Depression in Adolescence: A Review
Rawana, J. S., Morgan, A. S., Nguyen, H. N., & Craig, S. G. (2010) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-010-0072-1 · Cited by 89
The UK Resilience Programme: A school-based universal nonrandomized pragmatic controlled trial.
Challen, A., Machin, S. J., & Gillham, J. E. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0034854 · Cited by 83
Influencing Self-rated Health Among Adolescent Girls With Dance Intervention
Duberg, A., Hagberg, L., Sunvisson, H., & Möller, M. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2013.421 · Cited by 83
Abeles, P., Verduyn, C., Robinson, A., Smith, P., Yule, W., & Proudfoot, J. (2009) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465808005067 · Cited by 82
Sawyer, M. G., Harchak, T. F., Spence, S. H., Bond, L. M., GRAETZ, B. W., Kay, D., Patton, G. C., & Sheffield, J. K. (2010) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.02.007 · Cited by 82
“Even where these goals have been achieved, results relevant to the prevention of depression have been mixed [3].”
Community factors influencing child and adolescent depression: A systematic review and meta-analysis
Stirling, K., Toumbourou, J. W., & Rowland, B. (2015) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867415603129 · Cited by 91
“The decision was made to exclude studies that exclusively examined schoollevel variables or the effectiveness of school-level interventions, given the extensive research conducted in this area (e.g. Kidger et al., 2012; Merry et al., 2011).”
BackgroundMethodInfluentialMeta-analysis of interventions to increase physical activity among cardiac subjects
Conn, V. S., Hafdahl, A. R., Moore, S. M., Nielsen, P. J., & Brown, L. M. (2008) · International Journal of Cardiology · doi:10.1016/j.ijcard.2008.03.052 · Cited by 83
“Recent Cochrane reviews of behavioral interventions have accepted heterogeneity, used random-effects models to allow for and quantify heterogeneity, and conducted subgroup analyses to explore heterogeneity [56,60–62].”
BackgroundMethodScreening and early psychological intervention for depression in schools
Cuijpers, P. J., van Straten, A., Smits, N., & Smit, F. (2006) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-006-0537-4 · Cited by 74
Family-Based Crisis Intervention With Suicidal Adolescents: A Randomized Clinical Trial
Wharff, E. A., Ginnis, K. B., Ross, A. M., White, E. M., White, M. T., & Forbes, P. W. (2019) · Pediatric Emergency Care · doi:10.1097/pec.0000000000001076 · Cited by 76
“Copyright © 2019 Wolters Kluwer H other depressive symptoms in the general child/adolescent population.(3,7,8,10,11) Increasingly, much of this research highlights the importance of including family in suicidal adolescent interventions.”
BackgroundMatsumoto, Y., & Shimizu, E. (2016) · School Psychology International · doi:10.1177/0143034316649639 · Cited by 72
Duration of Untreated Psychosis and Duration of Untreated Illness: New Vistas
Dell’Osso, B. M., & Altamura, A. C. (2010) · CNS Spectrums · doi:10.1017/s1092852900000079 · Cited by 69
Voorhees, B. W. V., Walters, A. E., Prochaska, M. T., & Quinn, M. T. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305424 · Cited by 68
“To date, most studies have used standard interventions in predominantly white populations, and their impacts on disparities consequently cannot be assessed (Clarke et al. 2001; Gillham, Shatte, and Freres 2000; Jane-Llopis et al. 2003; Merry et al. 2004).”
BackgroundSchool Intervention to Improve Mental Health of Students in Santiago, Chile
Araya, R., Rosemarie Fritsch, M., Spears, M. R., Rojas, G., Martínez, V., Barroilhet, S. A., Vöhringer, P. A., Gunnell, D., Stallard, P. N., Viviana Guajardo, T., et al. (2013) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2013.2361 · Cited by 68
School-based cognitive-behavioural interventions: A systematic review of effects and inequalities
Kavanagh, J., Oliver, S. R., Lorenc, T., Caird, J., Tucker, H., Harden, A., Greaves, A. E., Thomas, J., & Oakley, A. (2009) · Health Sociology Review · doi:10.5172/hesr.18.1.61 · Cited by 66
“Seven RCTs evaluated interventions provided by school staff (e.g. teacher or on-site health worker) (Chaplin et al 2006; Gillham et al 2006, 2007; Lock and Barrett 2003; Merry et al 2004a; Spence et al 2003; Yu and Seligman 2002).”
BackgroundMethodResultInfluentialKidger, J., Donovan, J., Biddle, L., Campbell, R., & Gunnell, D. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-403 · Cited by 75
van Genugten, L., Dusseldorp, E., Massey, E. K., & van Empelen, P. (2016) · Health Psychology Review · doi:10.1080/17437199.2016.1252934 · Cited by 71
“Secondary interventions were more likely to improve mental wellbeing, which confirms findings of previous research (Browne et al., 2004; Haney & Durlak, 1998; Merry et al., 2004).”
Kindt, K. C. M., Kleinjan, M., Janssens, J., & Scholte, R. H. J. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph110505273 · Cited by 62
“Boys and girls may respond differently to depression prevention programs [21], as some studies showed that girls benefitted more from these programs compared to boys [8,20,22,23].”
ResultMao, W., Chen, T., Chou, Y., Tzeng, N., Chang, H., Kuo, S.-C., Yeh, Y., Pan, P., & Yeh, C. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s77179 · Cited by 61
Attempting to prevent depression in youth: a systematic review of the evidence
Merry, S., & Spence, S. H. (2007) · Early Intervention in Psychiatry · doi:10.1111/j.1751-7893.2007.00030.x · Cited by 59
“A systematic review and meta-analysis of depression prevention programmes was published in 2004.(13) In this analysis, studies were divided into those that compared intervention with an active comparison or placebo, and those that used a waitlist or no-intervention comparison group.”
MethodAdam, E. K., Sutton, J. M., Doane, L. D., & Mineka, S. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000461 · Cited by 63
“Taking the reciprocal of those risk differences demonstrates that the cited interventions would need to be administered to approximately eight to nine adolescents to reduce the incidence of depression by one case (Merry et al., 2004).”
BackgroundInfluentialPrevention of depression in youth: A qualitative review and future suggestions
Sutton, J. M. (2007) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.01.014 · Cited by 55
The beyondblue Schools Research Initiative: conceptual framework and intervention
Spence, S. H., Burns, J. M., Boucher, S., Glover, S., GRAETZ, B. W., Kay, D., Patton, G. C., & SAWYER, M. G. (2005) · Australasian Psychiatry · doi:10.1111/j.1440-1665.2005.02180.x · Cited by 57
Psychological predictors of adiposity: Systematic review of longitudinal studies
Incledon, E., Wake, M. A., & Hay, M. (2011) · International Journal of Pediatric Obesity · doi:10.3109/17477166.2010.549491 · Cited by 57
Prevention of depression among Icelandic adolescents: A 12-month follow-up
Arnarson, E. Ö., & Craighead, W. E. (2011) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.12.008 · Cited by 56
Prevention of depression among Icelandic adolescents
Arnarson, E. Ö., & Craighead, W. E. (2009) · Behaviour Research and Therapy · doi:10.1016/j.brat.2009.03.011 · Cited by 56
The Population Cost-effectiveness of Interventions Designed to Prevent Childhood Depression
Mihalopoulos, C., Vos, T., Pirkis, J., & Carter, R. (2012) · PEDIATRICS · doi:10.1542/peds.2011-1823 · Cited by 54
“The costs of the psychological intervention included: (1) the cost of training teachers in administering the brief screening (numbers of teachers determined from the average class size [of 24] in Australia32); (2) the cost of the teachers in undertaking the screening (assumed to take an hour of time for each class); (…”
BackgroundScott, S. M., Wallander, J. L., & Cameron, L. D. (2015) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-015-0188-4 · Cited by 60
“…findings that universal prevention programs using educational or skillbuilding techniques for adolescents to protect against depression have demonstrated limited effectiveness (Merry et al. 2004; Spence and Shortt 2007), interest in targeted programs is on the rise (Gladstone and Beardslee 2009).”
BackgroundImmigrant Youth at Risk for Disorders of Mood: Recognizing Complex Dynamics
Yearwood, E. L., Crawford, S., Kelly, M., & Moreno, N. (2007) · Archives of Psychiatric Nursing · doi:10.1016/j.apnu.2007.02.006 · Cited by 55
Tercyak, K. P., Abraham, A. A., Graham, A. L., Wilson, L. D., & Walker, L. R. (2009) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsn085 · Cited by 50
Telemental health and Web-based applications in children and adolescents
Siemer, C. P., Fogel, J., & Van Voorhees, B. W. (2011) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2010.08.012 · Cited by 54
International School Mental Health: Global Approaches, Global Challenges, and Global Opportunities
Wei, Y., & Kutcher, S. (2011) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2011.09.005 · Cited by 50
Evidence Map of Prevention and Treatment Interventions for Depression in Young People
Callahan, P. M., Liu, P., Purcell, R., Parker, A. G., & Hetrick, S. E. (2012) · Depression Research and Treatment · doi:10.1155/2012/820735 · Cited by 48
“It has been suggested that this may be due to the low effect sizes typically demonstrated in universal prevention studies [41].”
Grasso, M., Lazzaro, G., Demaria, F., Menghini, D., & Vicari, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19137731 · Cited by 58
Merritt, R., PRICE, J. R., Mollison, J., & Geddes, J. R. (2006) · Psychological Medicine · doi:10.1017/s0033291706009056 · Cited by 44
“Epidemiological studies show that up to two-fifths of young people suffer from a depressed mood in any 6-month period, with 6-month prevalence rates of major depressive disorder ranging from 0.4% to 8.3% (Merry et al. 2004).”
BackgroundInfluentialSinclair, R., Millar, L., Allender, S. E., Snowdon, W., Waqa, G., Jacka, F. N., Moodie, M., Petersen, S., & Swinburn, B. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161709 · Cited by 46
“Given the relatively high prevalence, associated high burden, and potential for prevention early in life [9, 10], it is important to explore new and emerging evidence in relation to preventing the onset of mental ill health; for example, the associations between diet quality and depressive symptomology during the adol…”
BackgroundLewis, A. J., & Olsson, C. A. (2011) · Depression Research and Treatment · doi:10.1155/2011/296026 · Cited by 47
“Targeted approaches to preventive intervention appear to hold greater promise [43]; however, they remain fundamentally limited by a general lack of knowledge about individual differences in sensitivity to stressful life events (person-by-environment interaction).”
Background
Metadata
- Authors
- Merry, S. N., McDowell, H. H., Hetrick, S. E., Bir, J. J., & Muller, N.
- Affiliations
- University of Auckland (NZ)
- Orygen Youth Health (AU)
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- John Wiley & Sons, Ltd
- Published
- 2004-04-19
- Issue
- 1
- Pages
- CD003380-CD003380
- ISSN
- 1361-6137 (ISSN-L)
- OpenAlex
- W1923623012
- Cited by
- 284
- References
- 82
- Citations by year
- 2024: 3 · 2023: 5 · 2022: 6 · 2021: 6 · 2020: 4 · 2019: 6 · 2018: 12 · 2017: 8 · 2016: 17 · 2015: 18 · 2014: 19 · 2013: 13 · 2012: 28
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- depression prevention, childhood depression, adolescent depression, psychological intervention, educational intervention, depressive symptoms, depression onset, intervention effectiveness, methodological quality of trials, suicide prevention, substance use prevention, academic performance, social dysfunction, school-based prevention, family-based prevention, community-based prevention
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, Depression, Depressive Disorder, Female, Humans, Male, Psychotherapy, Randomized Controlled Trials as Topic
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