Do Proximal Risk Factors Mediate the Impact of Affect on Symptoms of Generalized Anxiety Disorder and Major Depressive Disorder? An Extension of the Hierarchical Model of Cognitive Vulnerability

Koscinski B.a· Allan N.P.b,c

Author affiliations

aDepartment of Psychology, Ohio University, Athens, OH, USA
bDepartment of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, USA
cVA Center of Excellence for Suicide Prevention, VA Finger Lakes Health Care System, Finger Lakes, NY, USA

Log in to MyKarger to check if you already have access to this content.

Buy FullText & PDF Unlimited re-access via MyKarger Unrestricted printing, no saving restrictions for personal use
read more

CHF 38.00 *
EUR 35.00 *
USD 39.00 *

Select

KAB

Buy a Karger Article Bundle (KAB) and profit from a discount!

If you would like to redeem your KAB credit, please log in.

Save over 20% compared to the individual article price.

Learn more

Access via DeepDyve Unlimited fulltext viewing Of this article Organize, annotate And mark up articles Printing And downloading restrictions apply

Select

Subscribe Access to all articles of the subscribed year(s) guaranteed for 5 years Unlimited re-access via Subscriber Login or MyKarger Unrestricted printing, no saving restrictions for personal use read more

Subcription rates

Select

* The final prices may differ from the prices shown due to specifics of VAT rules.

Article / Publication Details

First-Page Preview

Abstract of Research Article

Received: April 07, 2022
Accepted: September 22, 2022
Published online: December 08, 2022

Number of Print Pages: 10
Number of Figures: 2
Number of Tables: 2

ISSN: 0254-4962 (Print)
eISSN: 1423-033X (Online)

For additional information: https://www.karger.com/PSP

Abstract

Background: Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are among the most prevalent forms of psychopathology. The hierarchical model of cognitive vulnerability proposes that higher order risk factors explain co-occurrence among internalizing disorders, whereas lower order risk factors explain discordance. Methods: Participants (N = 646; mean age = 38.50, SD = 10.00; 49.2% female) were recruited from Amazon MTurk to complete self-report questionnaires related to psychopathology in the summer of 2020. Structural equation modeling was used to examine the relations that negative affect (NA) and positive affect (PA) share with MDD and GAD, through rumination and intolerance of uncertainty (IU), cross-sectionally. Results: When modeling both IU and depressive rumination together as explaining the indirect effects from affect to psychopathology, the association between NA and symptoms of MDD was explained by depressive rumination. There were no indirect effects from PA to MDD or GAD symptoms. When modeled separately, both risk factors explained the associations NA shared with MDD and GAD symptoms. Conclusions: The present study extends the hierarchical model of cognitive vulnerability by finding that depressive rumination explains the association between NA and symptoms of MDD, even when controlling for IU.

© 2022 S. Karger AG, Basel

References Kessler RC, Petukhova M, Sampson NA, Zaslavsky AM, Wittchen HU. Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States. Int J Methods Psychiatr Res. 2012;21(3):169–84. Greenberg PE, Sisitsky T, Kessler RC, Finkelstein SN, Berndt ER, Davidson JRT, et al. The economic burden of anxiety disorders in the 1990s. J Clin Psychiatry. 1999;60(7):427–35. Greenberg PE, Fournier AA, Sisitsky T, Pike CT, Kessler RC. The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J Clin Psychiatry. 2015;76(02):155–62. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Arch Gen Psychiatry. 2005;62(6):593–602. Norton PJ, Mehta PD. Hierarchical model of vulnerabilities for emotional disorders. Cogn Behav Ther. 2007;36(4):240–54. Mineka S, Watson D, Clark LA. Comorbidity of anxiety and unipolar mood disorders. Annu Rev Psychol. 1998;49(1):377–412. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–70. Watson D, Clark LA. The PANAS-X: manual for the positive and negative affect schedule – expanded form. Iowa City: University of Iowa; 1999. Baker LA, Cesa IL, Gatz M, Mellins C. Genetic and environmental influences on positive and negative affect: support for a two-factor theory. Psychol Aging. 1992;7(1):158–63. Zheng Y, Plomin R, von Stumm S. Heritability of intraindividual mean and variability of positive and negative affect: genetic analysis of daily affect ratings over a month. Psychol Sci. 2016;27(12):1611–9. Kotov R, Krueger RF, Watson D, Achenbach TM, Althoff RR, Bagby RM, et al. The Hierarchical Taxonomy of Psychopathology (HiTOP): a dimensional alternative to traditional nosologies. J Abnorm Psychol. 2017;126(4):454–77. Iqbal N, Dar KA. Negative affectivity, depression, and anxiety: does rumination mediate the links? J Affect Disord. 2015;181:18–23. Naragon-Gainey K, Watson D. The anxiety disorders and suicidal ideation: accounting for co-morbidity via underlying personality traits. Psychol Med. 2011;41(7):1437–47. Khazanov GK, Ruscio AM. Is low positive emotionality a specific risk factor for depression? A meta-Analysis of longitudinal studies. Psychol Bull. 2016;142(9):991–1015. Carleton RN, Norton MPJ, Asmundson GJ. Fearing the unknown: a short version of the intolerance of uncertainty scale. J Anxiety Disord. 2007;21(1):105–17. Hale W, Richmond M, Bennett J, Berzins T, Fields A, Weber D, et al. Resolving uncertainty about the intolerance of uncertainty scale–12: application of modern psychometric strategies. J Pers Assess. 2016;98(2):200–8. Ladouceur R, Gosselin P, Dugas MJ. Experimental manipulation of intolerance of uncertainty: a study of a theoretical model of worry. Behav Res Ther. 2000;38(9):933–41. Tolin DF, Abramowitz JS, Brigidi BD, Foa EB. Intolerance of uncertainty in obsessive-compulsive disorder. J Anxiety Disord. 2003;17(2):233–42. Mosca O, Lauriola M, Carleton RN. Intolerance of uncertainty: a temporary experimental induction procedure. PLoS One. 2016;11(6):e0155130. Nolen-Hoeksema S. Responses to depression and their effects on the duration of depressive episodes. J Abnorm Psychol. 1991;100(4):569–82. Nolen-Hoeksema S. The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. J Abnorm Psychol. 2000;109(3):504–11. Lyubomirsky S, Tkach C. The consequences of dysphoric rumination; 2008. Volarov M, Saulnier KG, Allan NP, Shapiro MO, Mihić L. Are we still uncertain about the latent structure of intolerance of uncertainty: results from factor mixture modeling in a Serbian sample. J Affect Disord. 2021;294:505–12. Allan NP, Cooper D, Oglesby ME, Short NA, Saulnier KG, Schmidt NB. Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model. J Anxiety Disord. 2018;53:91–9. Paulus DJ, Talkovsky AM, Heggeness LF, Norton PJ. Beyond negative affectivity: a hierarchical model of global and transdiagnostic vulnerabilities for emotional disorders. Cogn Behav Ther. 2015;44(5):389–405. Harding KA, Mezulis A. Is rumination a risk and a protective factor? Eur J Psychol. 2017;13(1):28–46. McEvoy PM, Mahoney AEJ. To Be sure, to Be sure: intolerance of uncertainty mediates symptoms of various anxiety disorders and depression. Behav Ther. 2012;43(3):533–45. Costa J, Gouveia JP, Marôco J. The role of negative affect, rumination, cognitive fusion and mindfulness on depressive symptoms in depressed outpatients and normative individuals. Int J Psychol Psychol Ther. 2018;18(2):207–20. Topper M, Emmelkamp PM, Watkins E, Ehring T. Development and assessment of brief versions of the penn state worry questionnaire and the ruminative response scale. Br J Clin Psychol. 2014;53(4):402–21. Litman L, Robinson J, Abberbock T. TurkPrime. com: a versatile crowdsourcing data acquisition platform for the behavioral sciences. Behav Res Methods. 2017;49(2):433–42. Pei W, Mayer A, Tu K, Yue C. Attention please: your attention check questions in survey studies can be automatically answered. Proceedings of The Web Conference 2020. New York, NY: ACM; 2020. p. 1182–93. Watson D, O’Hara MW, Simms LJ, Kotov R, Chmielewski M, McDade-Montez EA, et al. Development and validation of the inventory of depression and anxiety symptoms (IDAS). Psychol Assess. 2007;19(3):253–68. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7. Rhemtulla M, Little TD. Planned missing data designs for research in cognitive development. J Cogn Dev. 2012;13(4):425–38. Graham JW, Taylor BJ, Olchowski AE, Cumsille PE. Planned missing data designs in psychological research. Psychol Methods. 2006;11(4):323–43. Curran PJ, West SG, Finch JF. The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychol Methods. 1996;1(1):16–29. Rhemtulla M, Brosseau-Liard PÉ, Savalei V. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychol Methods. 2012;17(3):354–73. Muthén LK, Muthén BO. Mplus user’s guide. 8th ed. Los Angeles, CA: Muthén & Muthén; 1998–2017. Johnson DP, Whisman MA. Gender differences in rumination: a meta-analysis. Pers Individ Dif. 2013;55(4):367–74. McLean CP, Asnaani A, Litz BT, Hofmann SG. Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness. J Psychiatr Res. 2011;45(8):1027–35. Parker G, Brotchie H. Gender differences in depression. Int Rev Psychiatry. 2010;22(5):429–36. Selig JP, Preacher KJ. Monte Carlo method for assessing mediation: an interactive tool for creating confidence intervals for indirect effects [Computer software]. 2008. Available from: http://quantpsy.org/. Wen Z, Fan X. Monotonicity of effect sizes: questioning kappa-squared as mediation effect size measure. Psychol Methods. 2015;20(2):193–203. Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107(2):238–46. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res. 1992;21(2):230–58. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1–55. Hayes AF, Coutts JJ. Use omega rather than Cronbach’s alpha for estimating reliability. But…. Commun Methods Meas. 2020;14(1):1–24. Mor N, Winquist J. Self-focused attention and negative affect: a meta-analysis. Psychol Bull. 2002;128(4):638–62. Hill PL, Burrow AL, Bronk KC. Persevering with positivity and purpose: an examination of purpose commitment and positive affect as predictors of grit. J Happiness Stud. 2016;17(1):257–69. Musumari PM, Tangmunkongvorakul A, Srithanaviboonchai K, Techasrivichien T, Suguimoto SP, Ono-Kihara M, et al. Grit is associated with lower level of depression and anxiety among university students in Chiang Mai, Thailand: a cross-sectional study. PLoS One. 2018;13(12):e0209121. Maxwell SE, Cole DA. Bias in cross-sectional analyses of longitudinal mediation. Psychol Methods. 2007;12(1):23–44. Chandler J, Paolacci G, Hauser DJ. Data quality issues on MTurk. In: Litman L, Robinson J, editors. Conducting online research on amazon mechanical turk and beyond. Thousand Oaks, CA: Sage Academic Publishing; 2020. p. 95–120. Fleischer A, Mead AD, Huang J. Inattentive responding in MTurk and other online samples. Ind Organ Psychol. 2015;8(2):196–202. Article / Publication Details

First-Page Preview

Abstract of Research Article

Received: April 07, 2022
Accepted: September 22, 2022
Published online: December 08, 2022

Number of Print Pages: 10
Number of Figures: 2
Number of Tables: 2

ISSN: 0254-4962 (Print)
eISSN: 1423-033X (Online)

For additional information: https://www.karger.com/PSP

Copyright / Drug Dosage / Disclaimer Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

留言 (0)

沒有登入
gif