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04-10-2020 | Original Article

The Conceptualization of the Positive Cognitive Triad and Associations with Depressive Symptoms in Adolescents

Auteurs: Caroline M. Pittard, Patrick Pössel, Jill L. Adelson, Susan H. Spence, Jeanie Sheffield, Michael G. Sawyer

Gepubliceerd in: Child Psychiatry & Human Development | Uitgave 5/2021

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, M_age = 13.04, Range_age = 11–15 years; n₂ = 2540, M_age = 13.11, Range_age = 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.

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.2013.03.003CrossRefPubMed

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/10.1177/0004867415617836CrossRef

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/10.1177/1059840510376515CrossRefPubMedPubMedCentral

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/a0032547CrossRefPubMed

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)62116-9CrossRefPubMed

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.0000223313.25536.47CrossRefPubMed

Beck AT (1976) Cognitive therapy and the emotional disorders. International Universities Press, New York

10.

Beck AT, Rush AJ, Shaw BF, Emery G (1979) Cognitive therapy of depression. Guilford Press, New York

11.

Clark DA, Beck AT, Alford BA (1999) Scientific foundations of cognitive theory and therapy of depression. Wiley, New York

12.

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/s00787-015-0674-8CrossRefPubMed

13.

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/10.1177/0272431610376248CrossRefPubMedPubMedCentral

14.

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.20073CrossRefPubMed

15.

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)00257-7CrossRef

16.

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/10.1037/1040-3590.20.3.217CrossRefPubMed

17.

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.2005.08.005CrossRef

18.

Seligman MEP, Csikszentmihalyi M (2000) Positive psychology: an introduction. Am Psychol 55:5–14. https://doi.org/10.1007/978-94-017-9088-8_18CrossRefPubMed

19.

Spence S (2002) Beyondblue. Schools Research Initiative: Pilot Study

20.

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/a0025195CrossRefPubMed

21.

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.2010-0748CrossRefPubMed

22.

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.2008.12.013CrossRefPubMed

23.

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.96.2.358CrossRef

24.

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.99.2.156CrossRefPubMed

25.

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.2010.09.003CrossRefPubMed

26.

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.2005.11.010CrossRefPubMed

27.

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:1021245618183CrossRef

28.

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-yCrossRefPubMed

29.

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:1010333815728CrossRefPubMed

30.

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_3CrossRef

31.

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-xCrossRefPubMed

32.

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/10.1177/014662167700100306CrossRef

33.

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/10.1037/1040-3590.2.2.122CrossRef

34.

Muthén LK, Muthén, BO (1998–2012) Mplus User’s Guide, 7th edn. Muthén and Muthén, Los Angeles

35.

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 AngelesCrossRef

36.

Box GEP, Cox DR (1964) An analysis of transformations. J R Stat Soc B 26:211–234

37.

Kline RB (2016) Principles and practice of structural equation modeling, 4th edn. Guilford Press, New York

38.

Ullman JB (1996) Structural equation modeling. In: Tabachnick B, Fidell L (eds) Using multivariate statistics. HarperCollins, New York, pp 709–812

39.

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/10.1080/10705519909540118CrossRef

40.

Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretical approach, 2nd edn. Springer, New York

41.

Raferty AE (1995) Bayesian model selection in social research. Sociol Methodol 25:111–163. https://doi.org/10.2307/271063CrossRef

42.

Elkind D, Bowen R (1979) Imaginary audience behavior in children and adolescents. Dev Psychol 15:38–44CrossRef

43.

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.2008.07.008CrossRefPubMed

44.

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.2007.04.016CrossRefPubMed

45.

Somerville LH (2013) The teenage brain: sensitivity to social evaluation. Curr Dir Psychol Sci 22:121–127. https://doi.org/10.1177/0963721413476512CrossRefPubMedPubMedCentral

46.

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.xCrossRefPubMed

47.

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/10.1348/026151006X173099CrossRef

48.

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/10.1037/0021-9010.88.5.879CrossRefPubMed

49.

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.63.1.90CrossRefPubMed

50.

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 227–259CrossRef

51.

Doumas DM, Esp S, Hausheer R (2015) Parental consent procedures: impact on response rates and nonresponse bias. J Subst Abuse Alcohol 3:1031–1035

52.

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/10.1177/0193841X03254421CrossRef

53.

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/nfw012CrossRef

Titel: The Conceptualization of the Positive Cognitive Triad and Associations with Depressive Symptoms in Adolescents
Auteurs: Caroline M. Pittard
Patrick Pössel
Jill L. Adelson
Susan H. Spence
Jeanie Sheffield
Michael G. Sawyer
Publicatiedatum: 04-10-2020
Uitgeverij: Springer US
Gepubliceerd in: Child Psychiatry & Human Development / Uitgave 5/2021
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI: https://doi.org/10.1007/s10578-020-01062-w

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