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A meta-analysis of the relationship between early maladaptive schemas and depression in adolescence and young adulthood

Published online by Cambridge University Press:  10 June 2021

Asnea Tariq Open the ORCID record for Asnea Tariq [Opens in a new window] ,
Corinne Reid  and
Stella W. Y. Chan Open the ORCID record for Stella W. Y. Chan [Opens in a new window]
Asnea Tariq*
Affiliation:
School of Health in Social Science, University of Edinburgh, Edinburgh, UK
Corinne Reid
Affiliation:
Chancellery, Victoria University, Melbourne, Australia
Stella W. Y. Chan
Affiliation:
School of Psychology & Clinical Language Sciences, University of Reading, Reading, UK
*
Author for correspondence: Asnea Tariq, E-mail: [email protected]
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Abstract

Early maladaptive schemas (EMS) are broad, pervasive themes and patterns of emotions, memories, cognition and physical sensations that impede the goal of individuals. Maladaptive behaviours can occur as a response to maladaptive or negative schemas, often culminating in depression or anxiety. The current meta-analysis integrates the existing literature to estimate the magnitude of effect of association between EMS and depression among adolescents and young adults. A systematic search of seven different databases including Embase, CINAHL, Medline, ASSIA, Psych INFO, Scopus and Web of Science was carried out identifying 24 relevant studies of adolescents (10–18 years) and young adults (19–29 years). The random-effect model estimate for association between overall EMS and depression was r = 0.56 (95% CI 0.49–0.63, Z = 12.88, p ≤ 0.0001), suggesting higher predominant EMS significantly linked to higher levels of depressive symptoms, with a large effect size. Separate meta-analytical results with schema domains indicated moderately stronger associations between schemas of disconnection/rejection, impaired autonomy/performance and other-directedness with depression. Age and gender were not found to have any significant moderating effect on the associations. The findings suggest that it is vital for clinicians to identify specific maladaptive schemas contributing towards depression, to have a better understanding of underlying cognitive processes and in turn promote psychological health, well-being and resilience in adolescents and young adults. Furthermore, findings will also assist clinicians to focus more on the content of three significant schema domains, which emerged as particularly salient factors underlying adolescent depression.

Keywords

Adolescentsdepressionearly maladaptive schemas (EMS)meta-analysisyoung adults
Type
Review Article
Information
Psychological Medicine , Volume 51 , Issue 8 , June 2021 , pp. 1233 - 1248
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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References

Abela, J. R. Z., & Hankin, B. L. (2008). Cognitive vulnerability to depression in children and adolescents: A developmental psychopathology perspective. In Abela, J. R. Z. & Hankin, B. L. (Eds.), Handbook of depression in children and adolescents (pp. 35–78). New York: The Guilford Press.Google Scholar
Abela, J. R., Hankin, B. L., Haigh, E. A., Adams, P., Vinokuroff, T., & Trayhern, L. (2005). Interpersonal vulnerability to depression in high-risk children: The role of insecure attachment and reassurance seeking. Journal of Clinical Child and Adolescent Psychology, 34(1), 182–192. doi: 10.1207/s15374424jccp3401_17.CrossRefGoogle ScholarPubMed
Abela, J. R. Z., & Sarin, S. (2002). Cognitive vulnerability to hopelessness depression: A chain is only as strong as its weakest link. Cognitive Therapy and Research, 26, 811–829. doi: 10.1023/A:1021245618183.CrossRefGoogle Scholar
Abela, J. R. Z., & Taylor, G. (2003). Specific vulnerability to depressive mood reactions in school children: The moderating role of self-esteem. Journal of Clinical Child and Adolescent Psychology, 32(3), 408–481. doi: 10.1207/S15374424JCCP3203_09.CrossRefGoogle Scholar
Abramson, L. Y., Alloy, L. B., Hankin, B. L., Haefell, G. J., MacCoon, D. G., & Gibb, B. E. (2002). Cognitive vulnerability–stress models of depression in a self-regulatory and psychobiological context. In Gotlib, I. H., & Hammen, C. L. (Eds.), Handbook of depression (pp. 268–294). New York: Guilford.Google Scholar
Abramson, L. Y., Alloy, L. B., & Metalsky, G. I. (1988). The cognitive diathesis–stress theories of depression: Toward an adequate evaluation of the theories’ validities. In Alloy, L. B. (Ed.), Cognitive processes in depression (pp. 3–30). New York: Guilford.Google Scholar
Alba, J., & Calvete, E. (2019). Bidirectional relationships between stress, depressive symptoms, and cognitive vulnerabilities in adolescents. Journal of Social and Clinical Psychology, 38(2), 87–112. doi: doi:10.1521/jscp.2019.38.2.87.CrossRefGoogle Scholar
Arango, C., Díaz-Caneja, C. M., McGorry, P. D., Rapoport, J., Sommer, I. E., Vorstman, J. A., … Carpenter, W. (2018). Prevention strategies for mental health. The Lancet (Psychiatry), 5(7), 591–604. doi: 10.1016/S2215-0366(18)30057-9.CrossRefGoogle ScholarPubMed
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480. doi: 10.1037//0003- 066X.55.5.469.CrossRefGoogle ScholarPubMed
Balsamo, M., Carlucci, L., Sergi, M. R., Murdock, K. K., & Saggino, A. (2015). The mediating role of early maladaptive schemas in the relation between co-rumination and depression in young adults. PLoS ONE, 10, 1–14. doi: 10.1371/journal.pone.0140177.CrossRefGoogle ScholarPubMed
Balsamo, M., & Saggino, A. (2013). Il Teate depression inventory-Manuale [Teate depression inventory, manual]. Florence: Hoegrefe.Google Scholar
Baujat, B., Mah, C. D., Pignon, J.-P., & Hill, C. (2002). A graphical method for exploring heterogeneity in meta-analyses: Application to a meta-analysis of 65 trials. Statistics in Medicine, 21, 2641–2652. doi: 10.1002/sim.1221.CrossRefGoogle ScholarPubMed
Beck, A. T. (1967). Depression: Clinical, experimental, and theoretical aspects. New York: Harper & Row.Google Scholar
Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford Press.Google Scholar
Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck depression inventory-II. San Antonio, TX: Psychological Corporation.Google Scholar
Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088–1101. doi: 10.2307/2533446.CrossRefGoogle Scholar
Braet, C., Van Vlierberghe, L., Vandevivere, E., Theuwis, L., & Bosmans, G. (2013). Depression in early, middle and late adolescence: Differential evidence for the cognitive diathesis–stress model. Clinical Psychology and Psychotherapy, 20(5), 369–383. doi: 10.1002/cpp.1789.Google ScholarPubMed
Calvete, E. (2014). Emotional abuse as a predictor of early maladaptive schemas in adolescents: Contributions to the development of depressive and social anxiety symptoms. Child Abuse & Neglect, 38(4), 735–746. doi: 10.1016/j.chiabu.2013.10.014.CrossRefGoogle ScholarPubMed
Calvete, E., & Cardeñoso, O. (2005). Gender differences in cognitive vulnerability to depression and behavior problems in adolescents. Journal of Abnormal Child Psychology, 33(2), 179–192. doi: 10.1007/s10802-005-1826-y.CrossRefGoogle ScholarPubMed
Calvete, E., Orue, I., & González-Diez, Z. (2013). An examination of the structure and stability of early maladaptive schemas by means of the Young Schema Questionnaire-3. European Journal of Psychological Assessment, 29(4), 283–290. doi: 10.1027/1015-5759/a000158.CrossRefGoogle Scholar
Calvete, E., Orue, I., & Hankin, B. (2015). A longitudinal test of the vulnerability-stress model with early maladaptive schemas for depressive and social anxiety symptoms in adolescents. Journal of Psychopathology and Behavioral Assessment, 37(1), 85–99. doi: 10.1007/s10862-014-9438-x.CrossRefGoogle Scholar
Calvete, E., Orue, I., & Hankin, B. L. (2013). Early maladaptive schemas and social anxiety in adolescents: The mediating role of anxious automatic thoughts. Journal of Anxiety Disorders, 27(3), 278–288. doi: 10.1016/j.janxdis.2013.02.011.CrossRefGoogle ScholarPubMed
Camara, M., & Calvete, E. (2012). Early maladaptive schemas as moderators of the impact of stressful events on anxiety and depression in university students. Journal of Psychopathology and Behavioral Assessment, 34(1), 58–68. doi: 10.1007/s10862-011-9261-6.CrossRefGoogle Scholar
Chaiton, M., Contreras, G., Brunet, J., Sabiston, C. M., O'Loughlin, E., Low, N. C., … O'Loughlin, J. (2013). Heterogeneity of depressive symptom trajectories through adolescence: Predicting outcomes in young adulthood. Journal of Canadian Academy of Child Adolescent Psychiatry, 22(2), 96–105. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3647625/.Google ScholarPubMed
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. doi: 10.1037//0033-2909.112.1.155.CrossRefGoogle Scholar
Cohen, J. R., Hankin, B. J., & Young, J. F. (2018). Translating cognitive vulnerability theory into improved adolescent depression screening: A receiver operating characteristic approach. Journal of Clinical Child and Adolescent Psychology, 48(4), 582–595. doi: 10.1080/15374416.2017.1416617.CrossRefGoogle ScholarPubMed
Cole, D. A., & Turner, J. E. Jr. (1993). Models of cognitive mediation and moderation in child depression. Journal of Abnormal Psychology, 102(2), 271–281. 10.1037/0021-843X.102.2.271.CrossRefGoogle ScholarPubMed
Colman, L. K. (2010). Maladaptive schemas and depression severity: support for incremental validity when controlling for cognitive correlates of depression, Master's Thesis, University of Tennessee. Retrieved from http://trace.tennessee.e/utk_gradthes/615.Google Scholar
Cooper, M. J., Rose, K. S., & Turner, H. (2005). Core beliefs and the presence or absence of eating disorder symptoms and depressive symptoms in adolescent girls. International Journal of Eating Disorders, 38(1), 60–64. doi: 10.1002/eat.20157CrossRefGoogle ScholarPubMed
Corey, D. M., Dunlap, W. P., & Burke, M. J. (2010). Averaging correlations: Expected values and bias in combined Pearsons rs and fisher's z transformations. The Journal of General Psychology, 125(3), 245–261. doi: 10.1080/00221309809595548.CrossRefGoogle Scholar
Costello, E. J., & Maughan, B. (2015). Annual research review: Optimal outcomes of child and adolescent mental illness. Journal of Child Psychology and Psychiatry, 56(3), 324–341. doi: 10.1111/jcpp.12371.CrossRefGoogle ScholarPubMed
Costello, D. M., Swendsen, J., Rose, J. S., & Dierker, L. C. (2008). Risk and protective factors associated with trajectories of depressed mood from adolescence to early adulthood. Journal of Consulting and Clinical Psychology, 76(2), 173–183. doi: 10.1037/0022-006X.76.2.173.CrossRefGoogle ScholarPubMed
Del Re, A. C., & Hoyt, W. T. (2010). MAc: meta-analysis with correlations. R Package Version 1.0. 5. Computer Software. Available at: http://CRAN.R-project.org/package=MAc.Google Scholar
Derogatis, L. R. (1994). SCL-90—R, Brief Symptom Inventory, and matching clinical rating scales. In Maruish, M. E. (Ed.), The use of psychological testing for treatment planning and outcome assessment. (pp. 217–248). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.Google Scholar
Dick, B., & Ferguson, J. (2015). Health for world's adolescents: A second chance in the second decade. Journal of Adolescent Health, 56(1), 3–6. doi: 10.1016/j.jadohealth.2014.10.260.CrossRefGoogle ScholarPubMed
Dozois, D. J. A., & Beck, A. T. (2008). Cognitive schemas, beliefs and assumptions. In Dobson, K. S. & Dozois, D. J. A. (Eds.), Risk factors in depression (pp. 121–143). Oxford: Elsevier/Academic Press.Google Scholar
Eberhart, N. K., Auerbach, R. P., Bigda-Peyton, J., & Abela, J. R. (2011). Maladaptive schemas and depression: Tests of stress generation and diathesis-stress models. Journal of Social and Clinical Psychology, 30(1), 75–104. doi: 10.1521/jscp.2011.30.1.75.CrossRefGoogle Scholar
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629–634. doi: 10.1136/bmj.315.7109.629.CrossRefGoogle ScholarPubMed
Evraire, L. E., & Dozois, D. J. (2014). If it be love indeed to tell me how much: Early core beliefs associated with excessive reassurance seeking in depression. Canadian Journal of Behavioural Science, 46(1), 1–8. doi: 10.1037/a0033486.CrossRefGoogle Scholar
Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J., … Whiteford, H. A. (2013). Burden of depressive disorders by country, sex, age, and year: Findings from the global burden of disease study 2010. PLoS Medicine, 10(11), 1–12. doi: 10.1371/journal.pmed.1001547.CrossRefGoogle ScholarPubMed
Fisher, Z., & Tipton, E. (2015). Robumeta: Robust variance meta-regression. R Package Version 1.6. Available at: http://CRAN.R-project.org/package=robumeta.Google Scholar
Fouladi, M. (2015). Prediction of depression through early maladaptive schemas. Mediterranean Journal of Social Sciences, 6(1), 602–611. doi: 10.5901/mjss.2015.v6n1s1p602.Google Scholar
Glaser, B. A., Campbell, L. F., Calhoun, G. B., Bates, J. M., & Petrocelli, J. V. (2002). The early maladaptive schema questionnaire-short form: A construct validity study. Measurement and Evaluation in Counselling and Development, 35(1), 2–13. doi: 10.1080/07481756.2002.12069043.CrossRefGoogle Scholar
Gong, J., & Chan, R. C. (2018). Early maladaptive schemas as mediators between childhood maltreatment and later psychological distress among Chinese college students. Psychiatry Research, 259, 493–500. doi: 10.1016/j.psychres.2017.11.019.CrossRefGoogle ScholarPubMed
Halvorsen, M., Wang, C. E., Eisemann, M., & Waterloo, K. (2010). Dysfunctional attitudes and early maladaptive schemas as predictors of depression: A 9-year follow-up study. Cognitive Therapy and Research, 34(4), 368–379. doi: 10.1007/s10608-009-9259-5.CrossRefGoogle Scholar
Hankin, B. L. (2008). Rumination and depression in adolescence: Investigating symptom specificity in a multi-wave prospective study. Journal of Clinical Child and Adolescent Psychology, 37(4), 701–713. doi: 10.1080/15374410802359627.CrossRefGoogle Scholar
Hankin, B. L., & Abramson, L. Y. (2002). Measuring cognitive vulnerability to depression in adolescence: Reliability, validity, and gender differences. Journal of Clinical Child and Adolescent Psychology, 31(4), 491–504. doi: 10.1207/S15374424JCCP3104_8. PMID: 12402568.CrossRefGoogle ScholarPubMed
Hankin, B. L., Young, J. F., Abela, J. R., Smolen, A., Jenness, J. L., Gulley, L. D., … Oppenheimer, C. W. (2015). Depression from childhood into late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. Journal of Abnormal Psychology, 124(4), 803–816. doi: 10.1037/abn0000089.CrossRefGoogle ScholarPubMed
Harris, A. E., & Curtin, L. (2002). Parental perceptions, early maladaptive schemas, and depressive symptoms in young adults. Cognitive Therapy and Research, 26(3), 405–416. doi: 10.1023/A:1016085112981.CrossRefGoogle Scholar
Hartman, C. A., Hox, J., Mellenbergh, G. J., Boyle, M. H., Offord, D. R., Racine, Y., …Sergeant, J. A. (2001). DSM-IV internal construct validity: When a taxonomy meets data. Journal of Child Psychology and Psychiatry, 42(6), 817–836. doi: 10.1111/1469-7610.00778.CrossRefGoogle ScholarPubMed
Haugh, J. A., Miceli, M., & DeLorme, J. (2017). Maladaptive parenting, temperament, early maladaptive schemas, and depression: A moderated mediation analysis. Journal of Psychopathology and Behavioral Assessment, 39(1), 103–116. doi: 10.1007/s10862-016-9559-5.CrossRefGoogle Scholar
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327, 557–560. doi: 10.1136/bmj.327.7414.557.CrossRefGoogle ScholarPubMed
Hyde, J. S., Mezulis, A. H., & Abramson, L. Y. (2008). The ABCs of depression: Integrating affective, biological, and cognitive models to explain the emergence of the gender difference in depression. Psychological Review, 115(2), 291–313. doi: 10.1037/0033-295X.115.2.291.CrossRefGoogle ScholarPubMed
Institute of Medicine, & National Research Council (2014). Investing in the health and well- being of young adults. Washington (DC): National Academies Press (US). Retrieved from: https://www.ncbi.nlm.nih.gov/books/NBK284782/.Google Scholar
Jahromi, F. G., Naziri, G., & Barzegar, M. (2012). The relationship between socially prescribed perfectionism and depression: The mediating role of maladaptive cognitive schemas. Procedia – Social and Behavioral Sciences, 32, 141–147. doi: 10.1016/j.sbspro.2012.01.023.CrossRefGoogle Scholar
Jamison, D. T., Breman, J. G., Measham, A. R., Alleyne, G., Claeson, M., Evans, D. B., … Musgrove, P. (Eds.). (2006). Disease control priorities in developing Countries (2nd edn.). Washington (DC): The International Bank for Reconstruction and Development / The World Bank. Available from: https://www.ncbi.nlm.nih.gov/books/NBK11728/?report=classic.Google ScholarPubMed
Kessler, R. C., Berglund, P. A., Bruce, M. L., Koch, J. R., Laska, E. M., Leaf, P. J., … Wang, P. S. (2001). The prevalence and correlates of untreated serious mental illness. Health Services Research, 36(6 Pt 1), 987–1007. Retrieved from: https://pubmed.ncbi.nlm.nih.gov/11775672/.Google ScholarPubMed
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. doi: 10.1001/archpsyc.62.6.593.CrossRefGoogle ScholarPubMed
Kim-Cohen, J., Caspi, A., Moffitt, T., Harrington, H., Milne, B., & Poulton, R. (2003). Prior juvenile diagnoses in adults with mental disorder: Developmental follow-back of a prospective-longitudinal cohort. Archives of General Psychiatry, 60(7), 709–717. doi: 10.1001/archpsyc.60.7.709.CrossRefGoogle ScholarPubMed
Kovacs, M. (1992). Children's depression inventory: Manual (p. Q8). North Tonawanda, NY: MultiHealth Systems.Google Scholar
Lee, A., & Hankin, B. L. (2009). Insecure attachment, dysfunctional attitudes, and low self- esteem predicting prospective symptoms of depression and anxiety during adolescence. Journal of Clinical Child and Adolescent Psychology, 39(2), 219–231. doi: 10.1080/15374410802698396.CrossRefGoogle Scholar
Lewin, M. R., Garcia, L. M., Limon, A. M., & Ojeda, A. (2015). Dysfunctional parenting and depression: The mediational role of schemas. Journal of Experimental Psychopathology, 6(1), 2–12. doi: 10.5127/jep.035513.CrossRefGoogle Scholar
Lewinsohn, P. M., Rohde, P., Seeley, J. R., Klein, D. N., & Gotlib, I. H. (2003). Psychosocial functioning of young adults who have experienced and recovered from major depressive disorder during adolescence. Journal of Abnormal Psychology, 112(3), 353–363. 10.1037/0021-843X.112.3.353.CrossRefGoogle ScholarPubMed
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the beck depression and anxiety inventories. Behaviour Research and Therapy, 33(3), 335–343. doi: 10.1016/0005-7967(94)00075-u.CrossRefGoogle ScholarPubMed
Lumley, M. N., & Harkness, K. L. (2007). Specificity in the relations among childhood adversity, early maladaptive schemas, and symptom profiles in adolescent depression. Cognitive Therapy and Research, 31(5), 639–657. doi: 10.1007/s10608-006-9100-3.CrossRefGoogle Scholar
MacPhee, A. R., & Andrews, J. J. W. (2006). Risk factors for depression in early adolescence. Adolescence, 41(163), 435–466. Retrieved from: https://pubmed.ncbi.nlm.nih.gov/17225661/.Google ScholarPubMed
Marsh, I. C., Chan, S. W. Y., & Macbeth, A. (2018). Self-compassion and psychological distress in adolescents—a meta. Mindfulness, 9, 1011–1027. doi: 10.1007/s12671-017-0850- 7.CrossRefGoogle ScholarPubMed
Mateos-Perez, E., Calvete, E., & Hankin, B. L. (2015). Negative inferences as mediators of the predictive association between early maladaptive schemas and depressive symptoms in adolescents. Journal of Social and Clinical Psychology, 34(3), 259–276. doi: 10.1521/jscp.2015.34.3.259.CrossRefGoogle Scholar
McGinn, L. K., Cukor, D., & Sanderson, W. C. (2005). The relationship between parenting style, cognitive style, and anxiety and depression: Does increased early adversity influence symptom severity through the mediating role of cognitive style? Cognitive Therapy and Research, 29, 219–242. doi: 10.1007/s10608-005-3166-1.CrossRefGoogle Scholar
McHugh, M. L. (2012). Interrater reliability: The kappa statistic. Biochemia Medica, 22(3), 276–282. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900052/.CrossRefGoogle ScholarPubMed
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS, 6(7), 1–8. doi: 10.1371/journal.pmed.1000097.Google ScholarPubMed
Muris, P. (2006). Maladaptive schemas in non-clinical adolescents: Relations to perceived parental rearing behaviours, big five personality factors and psychopathological symptoms. Clinical Psychology & Psychotherapy, 13(6), 405–413. doi: 10.1002/cpp.506.CrossRefGoogle Scholar
Naser, Y., & Shirbagi, N. (2010). Validating the young early maladaptive schema questionnaire (YEMSQ) among students. Iranian Journal of Psychiatry and Behavioral Sciences, 4(1), 38–46.Google Scholar
National Institute of Mental Health (2017). Major depression. Bethesda, MD.: U.S. Department of Health and Human Services. Retrieved from: https://www.nimh.nih.gov/health/statistics/major-depression.shtml.Google Scholar
Orue, I., Calvete, E., & Padilla, P. (2014). Brooding rumination as a mediator in the relation between early maladaptive schemas and symptoms of depression and social anxiety in adolescents. Journal of Adolescence, 37(8), 1281–1291. doi: 10.1016/j.adolescence.2014.09.004.CrossRefGoogle ScholarPubMed
Patton, G. C., Sawyer, S. M., Santelli, J. S., Ross, D. A., Afifi, R., Allen, N. B., … Viner, R. M. (2016). Our future: A Lancet commission on adolescent health and wellbeing. The Lancet, 387, 2423–2478. doi: 10.1016/S0140-6736(16)00579-1.CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. doi: 10.1177/014662167700100306.CrossRefGoogle Scholar
R Development Core Team. (2015). R: A language and environment for statistical computing. Vienna: The R Foundation for Statistical Computing.Google Scholar
Reinecke, M. A., & Simons, A. (2005). Vulnerability to depression among adolescents: Implications for cognitive-behavioral treatment. Cognitive and Behavioral Practise, 12(2), 166–176. doi: 10.1016/S1077-7229(05)80022-7.CrossRefGoogle Scholar
Reinherz, H. Z., Paradis, A. D., Giaconia, R. M., Stashwick, C. K., & Fitzmaurice, G. (2003). Childhood and adolescent predictors of major depression in the transition to adulthood. The American Journal of Psychiatry, 160(12), 2141–2147. doi: 10.1176/appi.ajp.160.12.2141.CrossRefGoogle ScholarPubMed
Renner, F., Lobbestael, J., Peeters, F., Arntz, A., & Huibers, M. (2012). Early maladaptive schemas in depressed patients: Stability and relation with depressive symptoms over the course of treatment. Journal of Affective Disorders, 136(3), 581–590. doi: 10.1016/j.jad.2011.10.027.CrossRefGoogle ScholarPubMed
Rezaei, M., Ghazanfari, F., & Rezaee, F. (2016). The role of childhood trauma, early maladaptive schemas, emotional schemas and experimental avoidance on depression: A structural equation modelling. Psychiatry Research, 246, 407–414. doi: 10.1016/j.psychres.2016.10.037.CrossRefGoogle Scholar
Rijkeboer, M. M., & De Boo, G. M. (2010). Early maladaptive schemas in children: Development and validation of the Schema Inventory for Children. Journal of Behaviour Therapy and Experimental Psychiatry, 41(2), 102–109. doi: 10.1016/j.jbtep.2009.11.001.CrossRefGoogle ScholarPubMed
Roelofs, J., Lee, C., Ruijten, T., & Lobbestael, J. (2011). The mediating role of early maladaptive schemas in the relation between quality of attachment relationships and symptoms of depression in adolescents. Behavioural and Cognitive Psychotherapy, 39(4), 471–479. doi: 10.1017/S1352465811000117.CrossRefGoogle ScholarPubMed
Rudolph, K. D., & Clark, A. G. (2001). Conceptions of relationships in children with depressive and aggressive symptoms: Social-cognitive distortion or reality? Journal of Abnormal Child Psychology, 29(1), 41–56. doi: 10.1023/a:1005299429060CrossRefGoogle ScholarPubMed
Saggino, A., Balsamo, M., Carlucci, L., Cavalletti, V., Sergi, M. R., da Fermo, G., … Tommasi, M. (2018). Psychometric properties of the Italian version of the young schema questionnaire L-3: Preliminary results. Frontiers in Psychology, 9, 312. doi: 10.3389/fpsyg.2018.00312.CrossRefGoogle Scholar
Saritas-Atalar, D., & Altan-Atalay, A. (2018). Differential roles of early maladaptive schema domains on the link between perceived parenting behaviors and depression, anxiety, and anger. Current Psychology, 39, 1466–1475. doi: 10.1007/s12144- 018-9852-4.CrossRefGoogle Scholar
Schmidt, N. B., & Joiner, T. E. Jr (2004). Global maladaptive schemas, negative life events, and psychological distress. Journal of Psychopathology and Behavioral Assessment, 26(1), 65–72. doi: 10.1023/B:JOBA.0000007457.95008.d2.CrossRefGoogle Scholar
Schubert, K. O., Clark, S. R., Van, L. K., Collinson, J. L., & Baune, B. T. (2017). Depressive symptom trajectories in late adolescence and early adulthood: A systematic review. The Australian and New Zealand Journal of Psychiatry, 51(5), 477–499. doi: 10.1177/0004867417700274.CrossRefGoogle ScholarPubMed
Stopa, L., Thorne, P., Waters, A., & Preston, J. (2001). Are the short and long forms of the Young Schema Questionnaire comparable and how well does each version predict psychopathology scores? Journal of Cognitive Psychotherapy, 15(3), 253–272. doi: 10.1891/0889-8391.15.3.253.CrossRefGoogle Scholar
Tanner, J. L., Reinherz, H. Z., Beardslee, W. R., Fitzmaurice, G. M., Leis, J. A., & Berger, S. R. (2007). Change in prevalence of psychiatric disorders from ages 21 to 30 in a community sample. Journal of Nervous and Mental Disease, 195(4), 298–306. 10.1097/01.nmd.0000261952.13887.6e.CrossRefGoogle Scholar
Van Vlierberghe, L., Braet, C., Bosmans, G., Rosseel, Y., & Bögels, S. (2010). Maladaptive schemas and psychopathology in adolescence: On the utility of young's schema theory in youth. Cognitive Therapy and Research, 34(4), 316–332. doi: 10.1007/s10608-009-9283-5.CrossRefGoogle Scholar
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–43. doi: 10.18637/jss.v036.i03.CrossRefGoogle Scholar
Wang, C. E. A., Halvorsen, M., Eisemann, M., & Waterloo, K. (2010). Stability of dysfunctional attitudes and early maladaptive schemas: A 9-year follow-up study of clinically depressed subjects. Journal of Behavior Therapy and Experimental Psychiatry, 41(4), 389–396. 10.1016/j.jbtep.2010.04.002.CrossRefGoogle ScholarPubMed
Wegener, I., Alfter, S., Geiser, F., Liedtke, R., & Conrad, R. (2013). Schema change without schema therapy: The role of early maladaptive schemata for a successful treatment of major depression. Psychiatry, 76(1), 1–17. doi: 10.1521/psyc.2013.76.1.1.CrossRefGoogle ScholarPubMed
Welburn, K., Coristine, M., Dagg, P., Pontefract, A., & Jordan, S. (2002). The Schema Questionnaire-Short Form: Factor analysis and relationship between schemas and symptoms. Cognitive Therapy and Research, 26(4), 519–530. doi: 10.1023/A:1016231902020.CrossRefGoogle Scholar
World Health Organization (WHO) (2017). Depression. Fact sheet. Available online at: http://www.who.int/mediacentre/factsheets/fs369/en/.Google Scholar
Wray, N. R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., … Sullivan, P. F. (2018). Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics, 50(5), 668–681. doi: 10.1038/s41588-018-0090-3.CrossRefGoogle ScholarPubMed
Xavier, A., Cunha, M., & Pinto Gouveia, J. (2015). Deliberate self-harm in adolescence: The impact of childhood experiences, negative affect and fears of compassion. Revista de Psicopatología y Psicología Clínica, 20, 41–49. doi: 10.5944/rppc.vol.1.num.1.2015.14407.Google Scholar
Yaroslavsky, I., Pettit, J. W., Lewinsohn, P. M., Seeley, J. R., & Roberts, R. E. (2013). Heterogeneous trajectories of depressive symptoms: Adolescent predictors and adult outcomes. Journal of Affective Disorders, 148(2–3), 391–399. 10.1016/j.jad.2012.06.028.CrossRefGoogle ScholarPubMed
Yigit, I., Kilic, H., Guzey Yigit, M., & Celik, C. (2018). Emotional and physical maltreatment, early maladaptive schemas, and internalizing disorders in adolescents: A multi-group path model of clinical and non-clinical samples. Current Psychology, 40, 1356–1366. doi: 10.1007/s12144-018-0068-4.CrossRefGoogle Scholar
Young, J. E. (1990). Schema-focused cognitive therapy for personality disorders: A schema focused approach. Sarasota, FL: Professional Resource Exchange.Google Scholar
Young, J. E. (1999). Cognitive therapy for personality disorders: A schema-focused approach (Rev ed.). Sarasota, FL: Professional Resources Press.Google Scholar
Young, J. E., & Brown, G. (1998). The young schema questionnaire: Short form. Retrieved from http://www.schematherapy.com.Google Scholar
Young, J. E., & Brown, G. (2005). Young schema questionnaire-short form; Version 3 [Database record]. Retrieved from PsycTESTS. doi: 10.1037/t67023-000.Google Scholar
Young, J. E., Klosko, J. S., & Weishaar, M. E. (2003). Schema therapy: A practitioner's guide. New York: The Guilford Press. Retrieved from: http://www.schematherapy.com/id201.htm.Google Scholar
Zarate, C. A. Jr. (2010). Psychiatric disorders in young adults: Depression assessment and treatment. In Grant, J. E. & Potenza, M. N. (Eds.), Young adult mental health (pp. 206–230). New York: Oxford University Press.Google Scholar
Zung, W. W., Richards, C. B., & Short, M. J. (1965). Self-rating depression scale in an outpatient clinic: Further validation of the SDS. Archives of General Psychiatry, 13(6), 508–515. doi: 10.1001/archpsyc.1965.01730060026004.CrossRefGoogle Scholar
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