Cited by 149Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Treatment and AccessDigital Mental Health Interventions

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Psychological interventions to prevent the onset of depressive disorders: A meta-analysis of randomized controlled trials

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Cuijpers, Pim, Pineda, Blanca S., Quero, Soledad, Karyotaki, Eirini, Struijs, Sascha Y., Figueroa, Caroline A., Llamas, Jazmin A., Furukawa, Toshi A., Muñoz, Ricardo F.·2021·Clinical Psychology Review

DOI 10.1016/j.cpr.2020.101955

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Abstract

PURPOSE: Depressive disorders are common and have a considerable impact on patients and societies. Several treatments are available, but their effects are modest and reduce the burden only to a limited extent. Preventing the onset of depressive disorders may be one option to further reduce the global disease burden. METHODS: We conducted a meta-analysis of randomized controlled trials in participants without a diagnosis of depression at baseline, who were assigned to a preventive psychological intervention, or a care-as-usual, or comparable control group and in which incident cases of depression at follow-up were ascertained with a diagnostic interview. RESULTS: Our systematic searches resulted in 50 trials (14,665 participants) with relatively high quality, in high risk groups of all ages. The psychological interventions were mostly based on cognitive behavioral interventions. One year after the preventive interventions, the relative risk of developing a depressive disorder was RR = 0.81 (95% CI: 0.72-0.91), indicating that those who had received the intervention had 19% less chance to develop a depressive disorder. Given the average control event rate of 30%, twenty-one people had to participate in the intervention to prevent one depressive disorder compared to people in the control conditions. CONCLUSIONS: Prevention is a promising approach to reduce the global disease burden of depression in addition to treatments.

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Naslund, J. A., Carmio, N., Taha, S., Amara, M., Wood, S., Patel, A., Romero, S. A., Floyd, K., Meredith, B., Rodriguez, B., et al. (2025) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2025.5 · Cited by 8
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Self-citation
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Nilsson, K. L., Andersson, G., Johansson, P., & Lundgren, J. (2023) · BMC Nephrology · doi:10.1186/s12882-023-03364-2 · Cited by 5
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Cuijpers, P. J., & van Straten, A. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102097 · Cited by 6
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Self-citation
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Rupp, L. H., Schindler‐Gmelch, L., Rogge, L., & Berking, M. (2024) · Mental health and physical activity · doi:10.1016/j.mhpa.2024.100600 · Cited by 5
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LoParo, D., Matos, A. P., Arnarson, E. Ö., & Craighead, W. E. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.01.007 · Cited by 4
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Zarski, A., Sextl-Plötz, T., Schmidt-Hantke, J., Hess, N. S., & Buntrock, C. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1626428 · Cited by 5
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Zarski, A., Weisel, K. K., Berger, T., Krieger, T., Schaub, M. P., Berking, M., Görlich, D., Jacobi, C., Baños, R., Botella, C., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01990-8 · Cited by 3
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Background
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Cherpe, S., Cunha, M. I. V. A., Xavier, A., Matos, A. P., Arnarson, E. Ö., Craighead, W. E., & Pinto‐Gouveia, J. (2025) · Adolescents · doi:10.3390/adolescents5030045 · Cited by 3
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Yu, W., Zhang, X., & Yi, W. (2026) · Current Psychology · doi:10.1007/s12144-026-09545-0 · Cited by 2
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Wang, X., Memon, A. A., Palmér, K., Hedelius, A., Sundquist, J., & Sundquist, K. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.10.040 · Cited by 2
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Beesdo‐Baum, K., Zenker, M., Rückert, F., Kische, H., Pieper, L., & Asselmann, E. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104162 · Cited by 2
RESiLIENT (Resilience Enhancement with Smartphone in LIving ENvironmenTs) Trial: The Statistical Analysis PlanPreprint
Noma, H., Furukawa, T. A., Tajika, A., Sakata, M., Luo, Y., Toyomoto, R., Horikoshi, M., Akechi, T., Kawakami, N., Nakayama, T., et al. (2024) · medRxiv · doi:10.1101/2024.03.16.24304261 · Cited by 2
Self-citation
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Valkenburg, H. J., Vriens, M., Meijnckens, D., Rodenburg, J., Wiering, D. S., Wijnen, B. F. M., de Wit, G. A., & Feenstra, T. (2025) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2025.2603944 · Cited by 1
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Fiß, F., Berndt, L., Anickova, S., Vaessen, T., & Kraiss, J. T. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121661 · Cited by 1
Behavioral activation and prevention of depression in at-risk adults: A meta-analysis
Rochelle, N. S., & Hoyer, J. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121740 · Cited by 1
Cognitive and behavioural skills to prevent major depression among adults with subthreshold depression: 50-week follow-up analysis of smartphone CBT randomised trials (RESiLIENT trial)
Akechi, T., Noma, H., Tajika, A., Toyomoto, R., Sakata, M., Luo, Y., Horikoshi, M., Kawakami, N., Nakayama, T., Kondo, N., et al. (2026) · The British Journal of Psychiatry · doi:10.1192/bjp.2026.10630 · Cited by 1
Self-citation
The Efficacy of Interpersonal Psychotherapy
Weissman, M. M., & Mootz, J. J. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197652084.003.0003 · Cited by 1
Depressive and Anxiety Disorders
Tonini, E., Hickie, I. B., & Crouse, J. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99967-0.00189-7 · Cited by 1
Depression and HIV/AIDS: adapting and piloting group interpersonal therapy for treatment of depressive symptoms for people living with HIV/AIDS in Northwest Ethiopia
Yirdaw, B. A. (2021) · Open University of Cape Town (University of Cape Town)
Revisión teórica de alteraciones emocionales en pacientes recuperados de COVID-19
T., R. P. R., & Carreira, M. B. (2022) · Investigación y Pensamiento Crítico · doi:10.37387/ipc.v10i2.297

Authors: Cuijpers, P., Pineda, B. S., Quero, S., Karyotaki, E., Struijs, S. Y., Figueroa, C. A., Llamas, J. A., Furukawa, T. A., & Muñoz, R. F.
Affiliations: Amsterdam Public Health (NL)
Palo Alto University (US)
Universitat Jaume I (ES)
Harvard University (US)
Leiden University (NL)
University of California, Berkeley (US)
Kyoto University (JP)
Corresponding author: Cuijpers, Pim
ORCID: Cuijpers, Pim
Pineda, Blanca S.
Quero, Soledad
Karyotaki, Eirini
Struijs, Sascha Y.
Figueroa, Caroline A.
Furukawa, Toshi A.
Muñoz, Ricardo F.
Venue: Clinical Psychology Review
Publisher: Elsevier BV
Published: 2021-02
Volume: 83
Pages: 101955
ISSN: 0272-7358 (ISSN-L)
DOI: 10.1016/j.cpr.2020.101955
OpenAlex: W3109375959
Semantic Scholar: 4892811095f93e382f3757230a5dfd7326e0d85c
Cited by: 148
References: 38
Citations by year: 2026: 20 · 2025: 24 · 2024: 30 · 2023: 44 · 2022: 19 · 2021: 11
FWCI: 2.70
Type: journal article
Language: en
Update notices: erratum (2021-08-01)
Open access: hybrid
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Clinical Psychology Review (publishedVersion, cc-by)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion, cc-by)
Repositori UJI (Universitat Jaume I) (publishedVersion, cc-by-sa)
VU Research Portal (publishedVersion, other-oa)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-sa)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders: Instituto de Salud Carlos III (ISC III CB06 03/0052)
Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (ISC III CB06 03/0052)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords: depression prevention, depressive disorders, cognitive-behavioral intervention, incident depression, relative risk, disease burden
MeSH terms: Psychosocial Intervention, Depressive Disorder, Humans, Psychotherapy, Cognitive Behavioral Therapy, Randomized Controlled Trials as Topic

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Psychological interventions to prevent the onset of depressive disorders: A meta-analysis of randomized controlled trials

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