Abstract
The positive cognitive triad (positive cognitions about the self, world, and future) has been considered a protective factor against depressive symptoms. This study examines three conceptualizations of the positive cognitive triad and their relation to depressive symptoms. Analyses were replicated in two samples in order to provide evidence for the validity of findings. Two samples (n1 = 2982, Mage = 13.04, Rangeage = 11–15 years; n2 = 2540, Mage = 13.11, Rangeage = 11–16 years) of Australian adolescents completed the Positive Cognitive Triad Inventory and Center for Epidemiological Studies Depression Scale. Findings supported the notion that the overall positive cognitive triad is a protective factor for depressive symptoms, and specifically, the role of positive cognitions about the self in this protection. After future studies examine the directionality of the relation between positive cognitions and depressive symptoms, mental health providers using cognitive behavioral approaches may consider examining positive cognitions with patients.
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A nonsignificant χ2 value indicates good model fit, although this is sensitive to large sample sizes [37, 38]. RMSEA values below 0.05 indicate good fit, and values between 0.05 and 0.08 indicate acceptable fit [39]. Regarding the CFI, values greater than 0.95 indicate good fit, and values ranging from 0.90 to 0.95 indicate acceptable fit [39]. AIC and BIC are used to compare models, rather than evaluate models independently. Lower AIC and BIC values are preferred.
References
Patel V (2013) Why adolescent depression is a global health priority and what we should do about it. J Adolesc Health 52:511–512. https://doi.org/10.1016/j.jadohealth.2013.03.003
Substance Abuse and Mental Health Services Administration, SAMHSA (2017) Behavioral health barometer: United States. SAMHSA, Rockville
Lawrence D, Hafekost J, Johnson SE, Saw S, Buckingham WJ, Sawyer MG et al (2016) Key findings from the second Australian child and adolescent survey of mental health and wellbeing. Aust NZ J Psychiatry 50:876–886. https://doi.org/10.1177/0004867415617836
Australian Institute of Health and Welfare (2011) Young Australians: their health and wellbeing. Australian Institute of Health and Welfare, Canberra
Humensky J, Kuwabara SA, Fogel J, Wells C, Goodwin B, Van Voorhees BW (2010) Adolescents with depressive symptoms and their challenges with learning in school. J Sch Nurs 26:377–392. https://doi.org/10.1177/1059840510376515
Verboom CE, Sijtsema JJ, Verhulst FC, Pennix BWJH, Ormel J (2014) Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Dev Psychol 50:247–257. https://doi.org/10.1037/a0032547
Patton GC, Coffey C, Romaniuk H, Mackinnon A, Carlin JB, Degenhardt L et al (2014) The prognosis of common mental disorders in adolescents: a 14-year prospective study. Lancet 383:1404–1411. https://doi.org/10.1016/S0140-6736(13)62116-9
Georgiades K, Lewinsohn PM, Monroe SM, Seeley JR (2006) Major depressive disorder in adolescence: the role of subthreshold symptoms. J Am Acad Child Adolesc Psychiatry 45:936–944. https://doi.org/10.1097/01.chi.0000223313.25536.47
Beck AT (1976) Cognitive therapy and the emotional disorders. International Universities Press, New York
Beck AT, Rush AJ, Shaw BF, Emery G (1979) Cognitive therapy of depression. Guilford Press, New York
Clark DA, Beck AT, Alford BA (1999) Scientific foundations of cognitive theory and therapy of depression. Wiley, New York
Braet C, Wante L, Van Beveren M, Theuwis L (2015) Is the cognitive triad a clear marker of depressive symptoms in youngsters? Eur Child Adolesc Psychiatry 24:1261–1268. https://doi.org/10.1007/s00787-015-0674-8
Cole DA, Jacquez FM, LaGrange B, Pineda AQ, Truss AE, Weitlauf AS et al (2011) A longitudinal study of cognitive risks for depressive symptoms in children and young adolescents. J Early Adolesc 31:782–618. https://doi.org/10.1177/0272431610376248
Greening L, Stoppelbein L, Dhossche D, Martin W (2005) Psychometric evaluation of a measure of Beck’s negative cognitive triad for youth: applications for African-American and Caucasian adolescents. Depress Anxiety 21:161–169. https://doi.org/10.1002/da.20073
Jacobs L, Joseph S (1997) Cognitive Triad Inventory and its association with symptoms of depression and anxiety in adolescents. Personal Individ Differ 22:769–770. https://doi.org/10.1016/S0191-8869(96)00257-7
LaGrange B, Cole DA, Dallaire DH, Ciesla JA, Pineda AQ, Truss AE et al (2008) Developmental changes in depressive cognitions: a longitudinal evaluation of the Cognitive Triad Inventory for Children. Psychol Assess 20:217–226. https://doi.org/10.1037/1040-3590.20.3.217
Timbremont B, Braet C (2006) Brief report: a longitudinal investigation of the relation between a negative cognitive triad and depressive symptoms in youth. J Adolesc 29:435–458. https://doi.org/10.1016/j.adolescence.2005.08.005
Seligman MEP, Csikszentmihalyi M (2000) Positive psychology: an introduction. Am Psychol 55:5–14. https://doi.org/10.1007/978-94-017-9088-8_18
Spence S (2002) Beyondblue. Schools Research Initiative: Pilot Study
Mak WWS, Ng ISW, Wong CCY (2011) Resilience: enhancing well-being through the positive cognitive triad. J Couns Psychol 58:610–617. https://doi.org/10.1037/a0025195
Patton GC, Tollit MM, Romaniuk H, Spence S, Sheffield J, Sawyer MG (2011) A prospective study of the effects of optimism on adolescent health risks. Pediatrics 127:308–316. https://doi.org/10.1542/peds.2010-0748
Sawyer MG, Pfeiffer S, Spence S (2009) Life events, coping and depressive symptoms among young adolescents: a one-year prospective study. J Affect Disord 117:48–54. https://doi.org/10.1016/j.jad.2008.12.013
Abramson LY, Metalsky GI, Alloy LB (1989) Hopelessness depression: a theory based subtype of depression. Psychol Rev 96:358–372. https://doi.org/10.1037/0033295X.96.2.358
Needles DJ, Abramson LY (1990) Positive life events, attributional style, and hopefulness: testing a model of recovery from depression. J Abnorm Psychol 99:156–165. https://doi.org/10.1037/0021-843X.99.2.156
Haeffel GJ, Vargas I (2011) Resilience to depressive symptoms: the buffering effects of enhancing cognitive style and positive life events. J Behav Ther Exp Psychiatry 42:13–18. https://doi.org/10.1016/j.jbtep.2010.09.003
Abela JRZ, Aydin C, Auerbach RP (2006) Operationalizing the “vulnerability” and “stress” components of the hopelessness theory of depression: a multi-wave longitudinal study. Behav Res Ther 44:1565–1583. https://doi.org/10.1016/j.brat.2005.11.010
Abela JRZ, Sarin S (2002) Cognitive vulnerability to hopelessness depression: a chain is only as strong as its weakest link. Cogn Ther Res 26:811–829. https://doi.org/10.1023/A:1021245618183
Calvete E, Orue I, Hankin BL (2013) Transactional relationships among cognitive vulnerabilities, stressors, and depressive symptoms in adolescence. J Abnorm Child Psychol 41:399–410. https://doi.org/10.1007/s10802-012-9691-y
Abela JRZ (2001) The hopelessness theory of depression: a test of the diathesis-stress and causal mediation components in third and seventh grade children. J Abnorm Child Psychol 29:241–254. https://doi.org/10.1023/A:1010333815728
Kaslow NJ, Stark KD, Printz B, Livingston R, Tsai SL (1992) Cognitive triad inventory for children: development and relation to depression and anxiety. J Clin Child Psychol 21:339–347. https://doi.org/10.1207/s15374424jccp2104_3
Pössel P (2016) Comparing different sequential meditational interpretations of Beck’s cognitive model of depression in adolescents. J Youth Adolesc 46:725–743. https://doi.org/10.1007/s10964-016-0551-x
Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1:385–401. https://doi.org/10.1177/014662167700100306
Roberts RE, Andrews JA, Lewinsohn PM, Hops H (1990) Assessment of depression in adolescents using the Center for Epidemiologic Studies Depression Scale. Psychol Assess 2:122–128. https://doi.org/10.1037/1040-3590.2.2.122
Muthén LK, Muthén, BO (1998–2012) Mplus User’s Guide, 7th edn. Muthén and Muthén, Los Angeles
Osborne JW (2013) Best practices in data cleaning: a complete guide to everything you need to do before and after collecting your data. Sage, Los Angeles
Box GEP, Cox DR (1964) An analysis of transformations. J R Stat Soc B 26:211–234
Kline RB (2016) Principles and practice of structural equation modeling, 4th edn. Guilford Press, New York
Ullman JB (1996) Structural equation modeling. In: Tabachnick B, Fidell L (eds) Using multivariate statistics. HarperCollins, New York, pp 709–812
Hu L, Bentler PM (1999) Cut-off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55. https://doi.org/10.1080/10705519909540118
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretical approach, 2nd edn. Springer, New York
Raferty AE (1995) Bayesian model selection in social research. Sociol Methodol 25:111–163. https://doi.org/10.2307/271063
Elkind D, Bowen R (1979) Imaginary audience behavior in children and adolescents. Dev Psychol 15:38–44
Sebastian C, Burnett S, Blakemore SJ (2008) Development of the self-concept during adolescence. Trends Cogn Sci 12:441–446. https://doi.org/10.1016/j.tics.2008.07.008
Davey CG, Yücel M, Allen NB (2008) The emergence of depression in adolescence: development of the prefrontal cortex and the representation of reward. Neurosci Biobehav Rev 32:1–19. https://doi.org/10.1016/j.neubiorev.2007.04.016
Somerville LH (2013) The teenage brain: sensitivity to social evaluation. Curr Dir Psychol Sci 22:121–127. https://doi.org/10.1177/0963721413476512
Westenberg PM, Drewes MJ, Goedhart AW, Siebelink BM, Treffers PDA (2004) A developmental analysis of self-reported fears in late childhood through mid adolescence: social-evaluative fears on the rise? J Child Psychol Psychiatry 45:481–495. https://doi.org/10.1111/j.1469-7610.2004.00239.x
Westenberg PM, Gullone E, Bokhorst CL, Heyne DA, King NJ (2007) Social evaluation fear in childhood and adolescence: normative developmental course and continuity of individual differences. Br J Dev Psychol 25:471–483. https://doi.org/10.1348/026151006X173099
Podsakoff P, MacKenzie S, Lee J, Podsakoff N (2003) Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88:879–903. https://doi.org/10.1037/0021-9010.88.5.879
Gotlib IH, Lewinsohn PM, Seeley JR (1995) Symptoms versus a diagnosis of depression: differences in psychosocial functioning. J Consult Clin Psychol 63:90–100. https://doi.org/10.1037/0022-006X.63.1.90
Inderbitzen HM (1994) Adolescent peer social competence. A critical review of assessment methodologies and instruments. In: Ollendick TH, Prinz RJ (eds) Advances in clinical child psychology. Springer, New York, pp 227–259
Doumas DM, Esp S, Hausheer R (2015) Parental consent procedures: impact on response rates and nonresponse bias. J Subst Abuse Alcohol 3:1031–1035
Unger JB, Gallaher P, Palmer PH, Baezconde-Garbanati L, Trinidad DR, Cen S, Johnson CA (2004) No news is bad news: characteristics of adolescents who provide neither parental consent nor refusal for participation in school-based survey research. Educ Rev 28:52–63. https://doi.org/10.1177/0193841X03254421
Hussemann JM, Mortimer JT, Zhang L (2016) Exploring the correlates of parental consent for children’s participation in surveys: an intergenerational longitudinal study. Public Opin Q 80:642–665. https://doi.org/10.1093/poq/nfw012
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Pittard, C.M., Pössel, P., Adelson, J.L. et al. The Conceptualization of the Positive Cognitive Triad and Associations with Depressive Symptoms in Adolescents. Child Psychiatry Hum Dev 52, 903–915 (2021). https://doi.org/10.1007/s10578-020-01062-w
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DOI: https://doi.org/10.1007/s10578-020-01062-w