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Repetitive Negative Thought and Executive Dysfunction: An Interactive Pathway to Emotional Distress

  • Nicholas Madian
  • Keith Bredemeier
  • Wendy Heller
  • Gregory A. Miller
  • Stacie L. Warren
Original Article

Abstract

Repetitive negative thought (RNT) is a transdiagnostic process that predicts the onset, severity, and recurrence of several psychiatric disorders, including anxiety and depression. Despite progress in understanding the affective consequences of RNT, the mechanisms through which RNT contributes to clinical symptoms are not well understood. Executive function (EF), a set of cognitive processes that contributes to the organization of cognition and the regulation of emotion, was hypothesized to enhance the effect of RNT on negative affect (NA), a core symptom shared by anxiety and depression. The present study used latent variable modeling and hierarchical linear regression to test the contributions of RNT, EF, and their interactions to NA. Consistent with hypotheses, high levels of RNT were associated with higher NA, and EF deficits enhanced this association. Results provide evidence that the RNT-EF interaction represents a pathway in the development of NA, and by association, anxiety and depression.

Keywords

Repetitive negative thought Executive function Anxiety Depression 

Notes

Author Contributions

Madian and Warren developed the study concept and design and contributed data to all analyses. Miller and Heller contributed data to all analyses from a larger project they conceived and directed. Bredemeier contributed data and analysis strategies to Analysis 1. Madian performed the literature search and data analyses under the mentorship of Warren. Madian drafted the initial version of the manuscript, which was revised by all authors. All authors approved the final version of the manuscript for submission.

Funding

Funding was provided by National Institute of Mental Health (Grant Nos. P50 MH079485, R01 MH61358), Department of Psychology, University of Illinois at Urbana-Champaign (US) and also by Department of Psychology, Palo Alto University.

Compliance with Ethical Standards

Conflict of Interest

This study was submitted in partial fulfillment of dissertation requirements at Palo Alto University for Nicholas Madian. This research was supported by NIMH (P50 MH079485, R01 MH61358) and the University of Illinois Department of Psychology funds awarded to authors Heller and Miller, and the Palo Alto University Department of Psychology funds awarded to author Warren. Author Bredemeier declares no conflict of interest.

Informed Consent

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Animal Rights

This article does not contain any studies with animals performed by any of the authors.

References

  1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723.  https://doi.org/10.1109/tac.1974.1100705.CrossRefGoogle Scholar
  2. Asparouhov, T., & Muthén, B. O. (2010). Simple second order chi-square correction. Retrieved from http://www.statmodel.com/download/WLSMV_new_chi21.pdf.
  3. Banich, M. T. (2009). Executive function: The search for an integrated account. Current Directions in Psychological Science, 18(2), 89–94.  https://doi.org/10.1111/j.1467-8721.2009.01615.x.CrossRefGoogle Scholar
  4. Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815–824.  https://doi.org/10.1016/j.paid.2006.09.018.CrossRefGoogle Scholar
  5. Behar, E., Alcaine, O., Zuellig, A. R., & Borkovec, T. D. (2003). Screening for generalized anxiety disorder using the Penn State Worry Questionnaire: A receiver operating characteristic analysis. Journal of Behavior Therapy and Experimental Psychiatry, 34(1), 25–43.CrossRefGoogle Scholar
  6. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.  https://doi.org/10.1037/0033-2909.107.2.238.CrossRefGoogle Scholar
  7. Berenbaum, H. (2010). An initiation–termination two-phase model of worrying. Clinical Psychology Review, 30, 962–975.  https://doi.org/10.1016/j.cpr.2010.06.011.CrossRefPubMedGoogle Scholar
  8. Berg, W. K., & Byrd, D. L. (2002). The Tower of London spatial problem-solving task: Enhancing clinical and research implementation. Journal of Clinical and Experimental Neuropsychology, 24(5), 586–604.  https://doi.org/10.1076/jcen.24.5.586.1006.CrossRefGoogle Scholar
  9. Bishop, S. J. (2009). Trait anxiety and impoverished prefrontal control of attention. Nature Neuroscience, 12(1), 92–98.  https://doi.org/10.1038/nn.2242.CrossRefPubMedGoogle Scholar
  10. Borkovec, T. D., Robinson, E., Pruzinsky, T., & DePree, J. A. (1983). Preliminary exploration of worry: Some characteristics and processes. Behaviour Research and Therapy, 21(1), 9–16.  https://doi.org/10.1016/0005-7967(83)90121-3.CrossRefPubMedGoogle Scholar
  11. Bredemeier, K., Spielberg, J. M., Silton, R. L., Berenbaum, H., Heller, W., & Miller, G. A. (2010). Screening for depressive disorders using the mood and anxiety symptoms questionnaire anhedonic depression scale: A receiver-operating characteristic analysis. Psychological Assessment, 22(3), 702–710.  https://doi.org/10.1037/a0019915.CrossRefPubMedPubMedCentralGoogle Scholar
  12. Bredemeier, K., Warren, S. L., Berenbaum, H., Miller, G. A., & Heller, W. (2016). Executive function deficits associated with current and past major depressive symptoms. Journal of Affective Disorders, 204, 226–233.CrossRefGoogle Scholar
  13. Brown, T. A., Chorpita, B. F., & Barlow, D. H. (1998). Structural relationships among dimensions of the DSM-IV anxiety and mood disorders and dimensions of negative affect, positive affect, and autonomic arousal. Journal of Abnormal Psychology, 107(2), 179–192.  https://doi.org/10.1037/0021-843X.107.2.179.CrossRefPubMedGoogle Scholar
  14. Buckholtz, J. W., & Meyer-Lindenberg, A. (2012). Psychopathology and the human connectome: Toward a transdiagnostic model of risk for mental illness. Neuron, 74(6), 990–1004.CrossRefGoogle Scholar
  15. Carr, S. J., Teasdale, J. D., & Broadbent, D. (1991). Effects of induced elated and depressed mood on self-focused attention. The British Journal of Clinical Psychology, 30(3), 273–275.CrossRefGoogle Scholar
  16. Caselli, R. J., Reiman, E. M., Hentz, J. G., Osborne, D., & Alexander, G. E. (2004). A distinctive interaction between chronic anxiety and problem solving in asymptomatic APOE e4 homozygotes. The Journal of Neuropsychiatry and Clinical Neurosciences, 16(3), 320–329.  https://doi.org/10.1176/appi.neuropsych.16.3.320.CrossRefPubMedGoogle Scholar
  17. Castaneda, A. E., Tuulio-Henriksson, A., Marttunen, M., Suvisaari, J., & Lönnqvist, J. (2008). A review on cognitive impairments in depressive and anxiety disorders with a focus on young adults. Journal of Affective Disorders, 106(1–2), 1–27.  https://doi.org/10.1016/j.jad.2007.06.006.CrossRefPubMedGoogle Scholar
  18. Clark, L. A. (1989). The anxiety and depressive disorders: Descriptive psychopathology and differential diagnosis. In P. C. Kendall & D. Watson (Eds.), Anxiety and depression: Distinctive and overlapping features (pp. 83–129). San Diego: Academic Press.Google Scholar
  19. Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316–336.  https://doi.org/10.1037/0021-843X.100.3.316.CrossRefPubMedGoogle Scholar
  20. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences, 3rd ed. Mahwah: Lawrence Erlbaum Associates Publishers.Google Scholar
  21. Corsi, P. M. (1972). Human memory and the medial temporal region of the brain. Unpublished doctoral dissertation. McGill University, Montreal.Google Scholar
  22. Crawford, J. R., & Henry, J. D. (2004). The positive and negative affect schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 43(3), 245–265.CrossRefGoogle Scholar
  23. Crocker, L. D., Heller, W., Spielberg, J. M., Warren, S. L., Bredemeier, K., Sutton, B. P., & Miller, G. A. (2012). Neural mechanisms of attentional control differentiate trait and state negative affect. Frontiers in Psychology.  https://doi.org/10.3389/fpsyg.2012.00298.CrossRefPubMedPubMedCentralGoogle Scholar
  24. Crowe, S. F., Matthews, C., & Walkenhorst, E. (2007). Relationship between worry, anxiety and thought suppression and the components of working memory in a non-clinical sample. Australian Psychologist, 42(3), 170–177.  https://doi.org/10.1080/00050060601089462.CrossRefGoogle Scholar
  25. Curci, A., Lanciano, T., Soleti, E., & Rimé, B. (2013). Negative emotional experiences arouse rumination and affect working memory capacity. Emotion, 13(5), 867–880.  https://doi.org/10.1037/a0032492.CrossRefPubMedGoogle Scholar
  26. Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19.  https://doi.org/10.1007/s10869-013-9308-7.CrossRefGoogle Scholar
  27. DeGutis, J., Esterman, M., McCulloch, B., Rosenblatt, A., Milberg, W., & McGlinchey, R. (2015). Posttraumatic psychological symptoms are associated with reduced inhibitory control, not general executive dysfunction. Journal of the International Neuropsychological Society, 21(5), 342–352.  https://doi.org/10.1017/S1355617715000235.CrossRefPubMedGoogle Scholar
  28. Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan executive function system (D-KEFS). San Antonio, TX: The Psychological Corporation.Google Scholar
  29. Denckla, M. B. (1996). A theory and model of executive function: A neuropsychological perspective. In G. R. Lyon & N. A. Krasnegor (Eds.), Attention, memory, and executive function (pp. 263–278). Baltimore: Paul H Brookes Publishing.Google Scholar
  30. Derakshan, N., Ansari, T. L., Hansard, M., Shoker, L., & Eysenck, M. W. (2009a). Anxiety, inhibition, efficiency, and effectiveness: An investigation using the antisaccade task. Experimental Psychology, 56(1), 48–55.  https://doi.org/10.1027/1618-3169.56.1.48.CrossRefPubMedGoogle Scholar
  31. Derakshan, N., Smyth, S., & Eysenck, M. W. (2009b). Effects of state anxiety on performance using a task-switching paradigm: An investigation of attentional control theory. Psychonomic Bulletin and Review, 16(6), 1112–1117.  https://doi.org/10.3758/PBR.16.6.1112.CrossRefPubMedGoogle Scholar
  32. Drost, J., van der Does, W., van Hemert, A. M., Penninx, B. W. J. H., & Spinhoven, P. (2014). Repetitive negative thinking as a transdiagnostic factor in depression and anxiety: A conceptual replication. Behaviour Research and Therapy, 63, 177–183.  https://doi.org/10.1016/j.brat.2014.06.004.CrossRefPubMedGoogle Scholar
  33. Ehring, T., & Watkins, E. R. (2008). Repetitive negative thinking as a transdiagnostic process. International Journal of Cognitive Therapy, 1(3), 192–205.  https://doi.org/10.1680/ijct.2008.1.3.192.CrossRefGoogle Scholar
  34. Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336–353.  https://doi.org/10.1037/1528-3542.7.2.336.CrossRefPubMedGoogle Scholar
  35. First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (2002). SCID-I/NP: Structured clinical interview for DSM-IV-TR axis I disorders, research version, non-patient edition. New York: Biometrics Research, New York State Psychiatric Institute.Google Scholar
  36. Fresco, D. M., Frankel, A. N., Mennin, D. S., Turk, C. L., & Heimberg, R. G. (2002). Distinct and overlapping features of rumination and worry: The relationship of cognitive production to negative affective states. Cognitive Therapy and Research, 26(2), 179–188.  https://doi.org/10.1023/A:1014517718949.CrossRefGoogle Scholar
  37. Fresco, D. M., Mennin, D. S., Heimberg, R. G., & Turk, C. L. (2003). Using the Penn State Worry Questionnaire to identify individuals with generalized anxiety disorder: A receiver operating characteristic analysis. Journal of Behavior Therapy and Experimental Psychiatry, 34(3–4), 283–291.CrossRefGoogle Scholar
  38. Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137(2), 201–225.  https://doi.org/10.1037/0096-3445.137.2.201.CrossRefGoogle Scholar
  39. Harvey, P. O., Le Bastard, G., Pochon, J. B., Levy, R., Allilaire, J. F., Dubois, B., & Fossati, P. (2004). Executive functions and updating of the contents of working memory in unipolar depression. Journal of Psychiatric Research, 38(6), 567–576.  https://doi.org/10.1016/j.jpsychires.2004.03.003.CrossRefPubMedGoogle Scholar
  40. Hayes, S., Hirsch, C., & Mathews, A. (2008). Restriction of working memory capacity during worry. Journal of Abnormal Psychology, 117(3), 712–717.  https://doi.org/10.1037/a0012908.CrossRefPubMedGoogle Scholar
  41. Hong, R. Y. (2007). Worry and rumination: Differential associations with anxious and depressive symptoms and coping behavior. Behaviour Research and Therapy, 45(2), 277–290.  https://doi.org/10.1016/j.brat.2006.03.006.CrossRefPubMedGoogle Scholar
  42. Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–59.Google Scholar
  43. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.  https://doi.org/10.1080/10705519909540118.CrossRefGoogle Scholar
  44. Hur, J., Heller, W., Kern, J. L., & Berenbaum, H. (2017). A bi-factor approach to modeling the structure of worry and rumination. Journal of Experimental Psychopathology, 8(1), 1–30.Google Scholar
  45. IBM Corp. (2015). SPSS Statistics for Windows, Version 23.0 [Computer software]. Armonk: IBM Corp.Google Scholar
  46. Jersild, A. T. (1927). Mental set and shift. Archives of Psychology, Whole No. 89.Google Scholar
  47. Jewsbury, P. A., Bowden, S. C., & Strauss, M. E. (2016). Integrating the switching, inhibition, and updating model of executive function with the Cattell—Horn—Carroll model. Journal of Experimental Psychology: General, 145(2), 220–245.  https://doi.org/10.1037/xge0000119.CrossRefGoogle Scholar
  48. Jurado, M. B., & Rosselli, M. (2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17(3), 213–233.  https://doi.org/10.1007/s11065-007-9040-z.CrossRefPubMedGoogle Scholar
  49. Kessler, R. C., Sampson, N. A., Berglund, P., Gruber, M. J., Al-Hamzawi, A., Andrade, L., Bunting, B., Demyttenaere, K. (2015). Anxious and non-anxious major depressive disorder in the World Health Organization World Mental Health Surveys. Epidemiology and Psychiatric Sciences, 24(03), 210–226.CrossRefGoogle Scholar
  50. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.)). New York: Guilford Press.Google Scholar
  51. Krompinger, J. W., & Simons, R. F. (2011). Cognitive inefficiency in depressive undergraduates: Stroop processing and ERPs. Biological Psychology, 86(3), 239–246.  https://doi.org/10.1016/j.biopsycho.2010.12.004.CrossRefPubMedGoogle Scholar
  52. LaGarde, G., Doyon, J., & Brunet, A. (2010). Memory and executive dysfunctions associated with acute posttraumatic stress disorder. Psychiatry Research, 177(1–2), 144–149.  https://doi.org/10.1016/j.psychres.2009.02.002.CrossRefPubMedGoogle Scholar
  53. Lara, M. E., & Klein, D. N. (1999). Psychosocial processes underlying the maintenance and persistence of depression: Implications for understanding chronic depression. Clinical Psychology Review, 19(5), 553–570.CrossRefGoogle Scholar
  54. Lehto, J. E., Juujarvi, P., Kooistra, L., & Pulkkinen, L. (2003). Dimensions of executive function: Evidence from children. British Journal of Developmental Psychology, 21(1), 59.CrossRefGoogle Scholar
  55. Letkiewicz, A. M., Miller, G. A., Crocker, L. D., Warren, S. L., Infantolino, Z. P., Mimnaugh, K. J., & Heller, W. (2014). Executive function deficits in daily life prospectively predict increases in depressive symptoms. Cognitive Therapy and Research, 38(6), 612–620.CrossRefGoogle Scholar
  56. Levin, R. L., Heller, W., Mohanty, A., Herrington, J. D., & Miller, G. A. (2007). Cognitive deficits in depression and functional specificity of regional brain activity. Cognitive Therapy and Research, 31, 211–233.CrossRefGoogle Scholar
  57. Lezak, M. D. (1982). The problem of assessing executive functions. International Journal of Psychology, 17(2–3), 281–297.  https://doi.org/10.1080/00207598208247445.CrossRefGoogle Scholar
  58. Logan, G. D. (1994). On the ability to inhibit thought and action: A users’ guide to the stop signal paradigm. In D. Dagenbach & T. H. Carr (Eds.), Inhibitory processes in attention, memory, and language (pp. 189–239). San Diego: Academic Press.Google Scholar
  59. Loh, J., Schutte, N., & Thorsteinsson, E. (2014). Be happy: The role of resilience between characteristic affect and symptoms of depression. Journal of Happiness Studies, 15(5), 1125–1138.CrossRefGoogle Scholar
  60. Lonigan, C. J., Phillips, B. M., & Hooe, E. S. (2003). Relations of positive and negative affectivity to anxiety and depression in children: Evidence from a latent variable longitudinal study. Journal of Consulting and Clinical Psychology, 71(3), 465–481.CrossRefGoogle Scholar
  61. Madian, N., Warren, S. L., Towers, D. N., Miller, G. A., & Heller, W. (2015). The impact of perseverative thought on negative affect: The role of updating ability. New Orleans: Poster presented at the meeting of the Society for Research in Psychopathology.Google Scholar
  62. McEvoy, P. M., Watson, H., Watkins, E. R., & Nathan, P. (2013). The relationship between worry, rumination, and comorbidity: Evidence for repetitive negative thinking as a transdiagnostic construct. Journal of Affective Disorders, 151(1), 313–320.  https://doi.org/10.1016/j.jad.2013.06.014.CrossRefPubMedGoogle Scholar
  63. McLaughlin, K. A., & Nolen-Hoeksema, S. (2011). Rumination as a transdiagnostic factor in depression and anxiety. Behaviour Research & Therapy, 49(3), 186–193.  https://doi.org/10.1016/j.brat.2010.12.006.CrossRefGoogle Scholar
  64. Meiran, N., Diamond, G. M., Toder, D., & Nemets, B. (2011). Cognitive rigidity in unipolar depression and obsessive compulsive disorder: Examination of task switching, Stroop, working memory updating and post-conflict adaptation. Psychiatry Research, 185(1–2), 149–156.  https://doi.org/10.1016/j.psychres.2010.04.044.CrossRefPubMedGoogle Scholar
  65. Meyer, T. J., Miller, M. L., Metzger, R. L., & Borkovec, T. D. (1990). Development and validation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28(6), 487–495.  https://doi.org/10.1016/0005-7967(90)90135-6.CrossRefPubMedGoogle Scholar
  66. Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8–14.  https://doi.org/10.1177/0963721411429458.CrossRefPubMedPubMedCentralGoogle Scholar
  67. Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100.  https://doi.org/10.1006/cogp.1999.0734.CrossRefGoogle Scholar
  68. Moberly, N. J., & Watkins, E. R. (2008). Ruminative self-focus and negative affect: an experience sampling study. Journal of Abnormal Psychology, 117(2), 314–323.  https://doi.org/10.1037/0021-843X.117.2.314.CrossRefPubMedPubMedCentralGoogle Scholar
  69. Monsell, S. (1996). Control of mental processes. In V. Bruce (Ed.), Unsolved mysteries of the mind: Tutorial essays in cognition (pp. 93–148). Oxford: Erlbaum (UK) Taylor & Francis, Publ.Google Scholar
  70. Morris, N., & Jones, D. M. (1990). Memory updating in working memory: The role of the central executive. British Journal of Psychology, 81(2), 111–121.  https://doi.org/10.1111/j.2044-8295.1990.tb02349.x.CrossRefGoogle Scholar
  71. Muris, P., Roelofs, J., Meesters, C., & Boomsma, P. (2004). Rumination and worry in nonclinical adolescents. Cognitive Therapy and Research, 28(4), 539–554.CrossRefGoogle Scholar
  72. Muthén, L. K., & Muthén, B. O. (2015). Mplus user’s guide (7th edn.). Los Angeles: Muthén & Muthén.Google Scholar
  73. Nitschke, J. B., Heller, W., Imig, J. C., McDonald, R. P., & Miller, G. A. (2001). Distinguishing dimensions of anxiety and depression. Cognitive Therapy and Research, 25(1), 1–22.  https://doi.org/10.1023/A:1026485530405.CrossRefGoogle Scholar
  74. Nolen-Hoeksema, S. (1991). Responses to depression and their effects on the duration of depressive episodes. Journal of Abnormal Psychology, 100(4), 569–582.  https://doi.org/10.1037/0021-843X.100.4.569.CrossRefPubMedGoogle Scholar
  75. Nolen-Hoeksema, S. (2000). The role of rumination in depressive disorders and mixed anxiety/depressive symptoms. Journal of Abnormal Psychology, 109(3), 504–511.CrossRefGoogle Scholar
  76. Nolen-Hoeksema, S., & Morrow, J. (1993). Effects of rumination and distraction on naturally occurring depressed mood. Cognition and Emotion, 7(6), 561–570.  https://doi.org/10.1080/02699939308409206.CrossRefGoogle Scholar
  77. Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400–424.  https://doi.org/10.1111/j.1745-6924.2008.00088.x.CrossRefPubMedGoogle Scholar
  78. Papageorgiou, C., & Wells, A. (1999). Process and meta-cognitive dimensions of depressive and anxious thoughts and relationships with emotional intensity. Clinical Psychology and Psychotherapy, 6(2), 156–162.CrossRefGoogle Scholar
  79. Phillips, L. H. (1997). Do ‘‘frontal tests’’ measure executive function? Issues of assessment and evidence from fluency tests. In P. Rabbitt (Ed.), Methodology of frontal and executive function (pp. 191–213). Hove: Psychology Press.Google Scholar
  80. Reise, S. P. (2012). Invited paper: The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667–696.  https://doi.org/10.1080/00273171.2012.715555.CrossRefPubMedPubMedCentralGoogle Scholar
  81. Reise, S. P., Moore, T. M., & Haviland, M. G. (2010). Bifactor models and rotations: Exploring the extent to which multidimensional data yield univocal scale scores. Journal of Personality Assessment, 92(6), 544–559.  https://doi.org/10.1080/00223891.2010.496477.CrossRefPubMedPubMedCentralGoogle Scholar
  82. Riskind, J. H., Kleiman, E. M., & Schafer, K. E. (2013). ‘Undoing’ effects of positive affect: Does it buffer the effects of negative affect in predicting changes in depression? Journal of Social and Clinical Psychology, 32(4), 363–380.CrossRefGoogle Scholar
  83. Rose, E. J., & Ebmeier, K. P. (2006). Pattern of impaired working memory during major depression. Journal of Affective Disorders, 90(2–3), 149–161.  https://doi.org/10.1016/j.jad.2005.11.003.CrossRefPubMedGoogle Scholar
  84. Rose, S. A., Feldman, J. F., & Jankowski, J. J. (2011). Modeling a cascade of effects: The role of speed and executive function in preterm/full-term differences in academic achievement. Developmental Science, 14(5), 1161–1175.  https://doi.org/10.1111/j.1467-7687.2011.01068.x.CrossRefPubMedGoogle Scholar
  85. Ruscio, A. M., Seitchik, A. E., Gentes, E. L., Jones, J. D., & Hallion, L. S. (2011). Perseverative thought: A robust predictor of response to emotional challenge in generalized anxiety disorder and major depressive disorder. Behaviour Research and Therapy, 49(12), 867–874.  https://doi.org/10.1016/j.brat.2011.10.001.CrossRefPubMedPubMedCentralGoogle Scholar
  86. Satorra, A., & Bentler, P. M. (2010). Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika, 75(2), 243–248.  https://doi.org/10.1007/s11336-009-9135-y.CrossRefPubMedPubMedCentralGoogle Scholar
  87. Savalei, V., & Rhemtulla, M. (2013). The performance of robust test statistics with categorical data. The British Journal of Mathematical and Statistical Psychology, 66(2), 201–223.  https://doi.org/10.1111/j.2044-8317.2012.02049.x.CrossRefPubMedGoogle Scholar
  88. Segerstrom, S. C., Roach, A. R., Evans, D. R., Schipper, L. J., & Darville, A. K. (2010). The structure and health correlates of trait repetitive thought in older adults. Psychology and Aging, 25(3), 505–515.  https://doi.org/10.1037/a0019456.CrossRefPubMedPubMedCentralGoogle Scholar
  89. Segerstrom, S. C., Stanton, A. L., Alden, L. E., & Shortridge, B. E. (2003). A multidimensional structure for repetitive thought: What’s on your mind, and how, and how much? Journal of Personality and Social Psychology, 85(5), 909–921.  https://doi.org/10.1037/0022-3514.85.5.909.CrossRefPubMedGoogle Scholar
  90. Segerstrom, S. C., Tsao, J. C. I., Alden, L. E., & Craske, M. G. (2000). Worry and rumination: Repetitive thought as a concomitant and predictor of negative mood. Cognitive Therapy and Research, 24(6), 671–688.  https://doi.org/10.1023/A:1005587311498.CrossRefGoogle Scholar
  91. Shallice, T. (1982). Specific impairments of planning. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 298(1089), 199–209.CrossRefGoogle Scholar
  92. Shankman, S. A., & Klein, D. N. (2003). The relation between depression and anxiety: An evaluation of the tripartite, approach-withdrawal and valence-arousal models. Clinical Psychology Review, 23(4), 605–637.  https://doi.org/10.1016/S0272-7358(03)00038-2.CrossRefPubMedGoogle Scholar
  93. Snyder, H. R. (2013). Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review. Psychological Bulletin, 139(1), 81–132.  https://doi.org/10.1037/a0028727.CrossRefPubMedGoogle Scholar
  94. Snyder, H. R., Kaiser, R. H., Warren, S. L., & Heller, W. (2015a). Obsessive-compulsive disorder is associated with broad impairments in executive function: A meta-analysis. Clinical Psychological Science, 3(2), 301–330.CrossRefGoogle Scholar
  95. Snyder, H. R., Miyake, A., & Hankin, B. L. (2015b). Advancing understanding of executive function impairments and psychopathology: Bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6, 328–328.  https://doi.org/10.3389/fpsyg.2015.00328.CrossRefPubMedPubMedCentralGoogle Scholar
  96. Spector, A., & Biederman, I. (1976). Mental set and mental shift revisited. American Journal of Psychology, 89, 669–679.CrossRefGoogle Scholar
  97. Spinhoven, P., Drost, J., van Hemert, B., & Penninx, B. W. (2015). Common rather than unique aspects of repetitive negative thinking are related to depressive and anxiety disorders and symptoms. Journal of Anxiety Disorders, 33, 45–52.  https://doi.org/10.1016/j.janxdis.2015.05.001.CrossRefPubMedGoogle Scholar
  98. Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25(2), 173.CrossRefGoogle Scholar
  99. Stroop, J. R. (1935). Studies of interference in serial verbal reaction. Journal of Experimental Psychology, 18, 643–662.CrossRefGoogle Scholar
  100. Stuss, D. T., & Alexander, M. P. (2000). Executive functions and the frontal lobes: A conceptual view. Psychological Research Psychologische Forschung, 63(3/4), 289.CrossRefGoogle Scholar
  101. Teasdale, J. D. (1983). Negative thinking in depression: Cause, effect, or reciprocal relationship. Advances in Behaviour Research and Therapy, 5(1), 3–25.  https://doi.org/10.1016/0146-6402(83)90013-9.CrossRefGoogle Scholar
  102. Teasdale, J. D. (1988). Cognitive vulnerability to persistent depression. Cognition and Emotion, 2(3), 247–274.  https://doi.org/10.1080/02699938808410927.CrossRefGoogle Scholar
  103. Trapnell, P. D., & Campbell, J. D. (1999). Private self-consciousness and the five-factor model of personality: Distinguishing rumination from reflection. Journal of Personality and Social Psychology, 76(2), 284–304.  https://doi.org/10.1037/0022-3514.76.2.284.CrossRefPubMedGoogle Scholar
  104. van den Wildenberg, W. P. M., van Boxtel, G. J. M., & van der Molen, M. W. (2003). The duration of response inhibition in the stop-signal paradigm varies with response force. Acta Psychologica, 114(2), 115–129.  https://doi.org/10.1016/S0001-6918(03)00062-3.CrossRefPubMedGoogle Scholar
  105. Vaughan, L., & Giovanello, K. (2010). Executive function in daily life: Age-related influences of executive processes on instrumental activities of daily living. Psychology and Aging, 25(2), 343–355.  https://doi.org/10.1037/a0017729.CrossRefPubMedGoogle Scholar
  106. Warren, S. L., Crocker, L. D., Spielberg, J. M., Engels, A. S., Banich, M. T., Sutton, B. P., & Heller, W. (2013). Cortical organization of inhibition-related functions and modulation by psychopathology. Frontiers in human neuroscience, 7, 271.CrossRefGoogle Scholar
  107. Warren, S. L., Towers, D. N., Heller, W., & Miller, G. A. (in prep). Measuring nonverbal updating of working memory: The spatial updating task.Google Scholar
  108. Watkins, E., Moulds, M., & Mackintosh, B. (2005). Comparisons between rumination and worry in a non-clinical population. Behaviour Research and Therapy, 43(12), 1577–1585.  https://doi.org/10.1016/j.brat.2004.11.008.CrossRefPubMedGoogle Scholar
  109. Watson, D., & Clark, L. A. (1991). Mood and anxiety symptom questionnaire. Psyctests.  https://doi.org/10.1037/t13679-000.CrossRefGoogle Scholar
  110. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070.  https://doi.org/10.1037/0022-3514.54.6.1063.CrossRefGoogle Scholar
  111. Watson, D., Clark, L. A., Weber, K., Assenheimer, J. S., Strauss, M. E., & McCormick, R. A. (1995a). Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. Journal of Abnormal Psychology, 104(1), 15–25.CrossRefGoogle Scholar
  112. Watson, D., & Pennebaker, J. W. (1989). Health complaints, stress, and distress: Exploring the central role of negative affectivity. Psychological Review, 96(2), 234–254.  https://doi.org/10.1037/0033-295X.96.2.234.CrossRefPubMedGoogle Scholar
  113. Watson, D., Weber, K., Assenheimer, J. S., Clark, L. A., Strauss, M. E., & McCormick, R. A. (1995b). Testing a tripartite model: I. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales. Journal of Abnormal Psychology, 104(1), 3–14.  https://doi.org/10.1037/0021-843X.104.1.3.CrossRefPubMedGoogle Scholar
  114. Whitmer, A. J., & Banich, M. T. (2007). Inhibition versus switching deficits in different forms of rumination. Psychological Science, 18(6), 546–553.  https://doi.org/10.1111/j.1467-9280.2007.01936.x.CrossRefPubMedGoogle Scholar
  115. Whitmer, A. J., & Gotlib, I. H. (2012). Switching and backward inhibition in major depressive disorder: The role of rumination. Journal of Abnormal Psychology, 121(3), 570–578.  https://doi.org/10.1037/a0027474.CrossRefPubMedGoogle Scholar
  116. Yang, M. J., Kim, B. N., Lee, E. H., Lee, D., Yu, B. H., Jeon, H. J., & Kim, J. H. (2014). Diagnostic utility of worry and rumination: A comparison between generalized anxiety disorder and major depressive disorder. Psychiatry and Clinical Neurosciences, 68(9), 712–720.  https://doi.org/10.1111/pcn.12193.CrossRefPubMedGoogle Scholar
  117. Yntema, D. B. (1963). Keeping track of several things at once. Human Factors, 5, 7.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Psychiatry and Behavioral SciencesUniversity of New MexicoAlbuquerqueUSA
  2. 2.Department of PsychologyPalo Alto UniversityPalo AltoUSA
  3. 3.Department of PsychologyUniversity of Illinois at Urbana-ChampaignChampaignUSA
  4. 4.Center for Health Assessment Research and TranslationUniversity of DelawareNewarkUSA
  5. 5.Department of Psychology and Department of Psychiatry and Biobehavioral SciencesUniversity of CaliforniaLos AngelesUSA

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