Unique and predictive relationships between components of cognitive vulnerability and symptoms of depression.
cognitive style
cognitive vulnerability
depression
hopelessness theory
network analysis
Journal
Depression and anxiety
ISSN: 1520-6394
Titre abrégé: Depress Anxiety
Pays: United States
ID NLM: 9708816
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
11
02
2019
revised:
17
05
2019
accepted:
05
06
2019
pubmed:
25
7
2019
medline:
9
4
2020
entrez:
24
7
2019
Statut:
ppublish
Résumé
Cognitive vulnerability theories of depression outline multiple, distinct inferential biases constitutive of cognitive vulnerability to depression. These include attributing negative events to internal, stable, and global factors, assuming that negative events will lead to further negative consequences, and inferring that negative events reflect negative characteristics about the self. Extant research has insufficiently examined these biases as distinct, limiting our understanding of how the individual cognitive vulnerability components interrelate and confer risk for depression symptoms. Thus, we conducted exploratory network analyses to examine the relationships among the five components of negative cognitive style and explore how components may differentially relate to depressive symptoms in adolescents. Participants completed measures of negative cognitive style twice over a two-year period. We estimated Graphical Gaussian Models using contemporaneous data and computed a cross-lagged panel network using temporal data from baseline and 2-year follow-up. Results reveal interesting structural dynamics among facets of negative cognitive style and depressive symptoms. For example, results point to biases towards stable and future-oriented inferences as highly influential among negative cognitive style components. The temporal model revealed the internal attributions component to be heavily influenced by depressive symptoms among adolescents, whereas stable and global attributions most influenced future symptoms. This study presents novel approaches for investigating cognitive style and depression. From this perspective, perhaps more precise predictions can be made about how cognitive risk factors will lead to the development or worsening of psychopathology.
Sections du résumé
BACKGROUND
Cognitive vulnerability theories of depression outline multiple, distinct inferential biases constitutive of cognitive vulnerability to depression. These include attributing negative events to internal, stable, and global factors, assuming that negative events will lead to further negative consequences, and inferring that negative events reflect negative characteristics about the self. Extant research has insufficiently examined these biases as distinct, limiting our understanding of how the individual cognitive vulnerability components interrelate and confer risk for depression symptoms. Thus, we conducted exploratory network analyses to examine the relationships among the five components of negative cognitive style and explore how components may differentially relate to depressive symptoms in adolescents.
METHODS
Participants completed measures of negative cognitive style twice over a two-year period. We estimated Graphical Gaussian Models using contemporaneous data and computed a cross-lagged panel network using temporal data from baseline and 2-year follow-up.
RESULTS
Results reveal interesting structural dynamics among facets of negative cognitive style and depressive symptoms. For example, results point to biases towards stable and future-oriented inferences as highly influential among negative cognitive style components. The temporal model revealed the internal attributions component to be heavily influenced by depressive symptoms among adolescents, whereas stable and global attributions most influenced future symptoms.
CONCLUSIONS
This study presents novel approaches for investigating cognitive style and depression. From this perspective, perhaps more precise predictions can be made about how cognitive risk factors will lead to the development or worsening of psychopathology.
Identifiants
pubmed: 31332887
doi: 10.1002/da.22935
pmc: PMC6777955
mid: NIHMS1036436
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
950-959Subventions
Organisme : NIMH NIH HHS
ID : F31 MH118808
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH079369
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH101168
Pays : United States
Informations de copyright
© 2019 Wiley Periodicals, Inc.
Références
Cognit Ther Res. 2010 Apr;34(2):177-187
pubmed: 33907340
Psychol Methods. 2018 Dec;23(4):617-634
pubmed: 29595293
J Abnorm Child Psychol. 2001 Jun;29(3):241-54
pubmed: 11411786
J Affect Disord. 2018 Mar 1;228:75-82
pubmed: 29232567
Arch Gen Psychiatry. 2005 Jun;62(6):617-27
pubmed: 15939839
Behav Res Ther. 2008 Aug;46(8):944-53
pubmed: 18533131
JAMA Psychiatry. 2018 Apr 1;75(4):336-346
pubmed: 29450462
Behav Res Ther. 2006 Nov;44(11):1565-83
pubmed: 16458851
Psychopharmacol Bull. 1985;21(4):995-8
pubmed: 4089116
Clin Psychol (New York). 2015 Dec 1;22(4):345-365
pubmed: 26709338
J Abnorm Psychol. 2016 Aug;125(6):747-57
pubmed: 27505622
J Abnorm Psychol. 2006 Feb;115(1):145-56
pubmed: 16492105
Psychol Bull. 2001 Nov;127(6):773-96
pubmed: 11726071
J Clin Child Adolesc Psychol. 2012;41(5):539-60
pubmed: 22853629
J Clin Child Adolesc Psychol. 2006 Jun;35(2):264-74
pubmed: 16597222
J Pers Soc Psychol. 2008 Sep;95(3):695-708
pubmed: 18729703
J Stat Softw. 2010;33(1):1-22
pubmed: 20808728
J Abnorm Psychol. 2008 May;117(2):324-33
pubmed: 18489208
J Clin Child Adolesc Psychol. 2009 May;38(3):354-64
pubmed: 19437296
J Anxiety Disord. 2018 Jan;53:1-8
pubmed: 29125957
J Clin Psychol. 2009 Dec;65(12):1327-38
pubmed: 19827008
J Abnorm Psychol. 1998 Feb;107(1):128-40
pubmed: 9505045
Clin Psychol Rev. 2008 Jun;28(5):824-36
pubmed: 18234405
J Abnorm Psychol. 1978 Feb;87(1):49-74
pubmed: 649856
J Abnorm Psychol. 2018 Jan;127(1):1-11
pubmed: 29172599
J Abnorm Psychol. 2002 Feb;111(1):156-65
pubmed: 11866168
J Clin Child Adolesc Psychol. 2002 Dec;31(4):491-504
pubmed: 12402568
J Abnorm Psychol. 2009 Aug;118(3):472-8
pubmed: 19685945