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26 - Anxiety, Depression and Cognitive Dysfunction

from Part V - Cognitive and Motivational Perspectives: Dynamic Processes of Personality

Published online by Cambridge University Press:  18 September 2020

Philip J. Corr
Affiliation:
City, University London
Gerald Matthews
Affiliation:
University of Central Florida
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Summary

One of the few incontrovertible assumptions concerning human personality is that it is influenced and determined by a wide range of factors. Of major importance are individual differences in genetic factors. This was shown very clearly by Vukasović and Bratko (2015) in their meta-analytic review of twin, family and adoption studies designed to assess the percentage of individual differences attributable to genetic factors for major personality factors or dimensions. With respect to H. J. Eysenck’s three orthogonal dimensions of extraversion, neuroticism and psychoticism (see H. J. Eysenck & M. Eysenck, 1985), the percentage figure ranged between 30 percent for psychoticism and 42 percent for neuroticism (which closely resembles trait anxiety).

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Publisher: Cambridge University Press
Print publication year: 2020

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References

Andrews, P. W., & Thomson, J. A. (2009). The bright side of being blue: Depression as an adaptation for analyzing complex problems. Psychological Review, 116, 620654.CrossRefGoogle ScholarPubMed
Armstrong, T., & Olatunji, B. (2012). Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis. Clinical Psychology Review, 32, 704723.CrossRefGoogle ScholarPubMed
Bardeen, J. R., & Orcutt, H. K. (2011). Attentional control as a moderator of the relationship between post-traumatic stress symptoms and attentional threat bias. Journal of Anxiety Disorders, 25, 10081018.CrossRefGoogle ScholarPubMed
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). Threat-related attentional bias in anxious and non-anxious individuals: A meta-analytic study. Psychological Bulletin, 133, 124.CrossRefGoogle Scholar
Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International Universities Press.Google Scholar
Beck, A. T., & Duzois, D. J. A. (2011). Cognitive therapy: Current status and future directions. Annual Review of Medicine, 62, 397409.Google Scholar
Beck, A. T., Brown, G., Steer, R. A., Eidelson, J. L., & Riskid, J. H. (1987). Differentiating anxiety and depression: A test of the cognitive content-specificity hypothesis. Journal of Abnormal Psychology, 96, 179183.CrossRefGoogle ScholarPubMed
Bethell, E. J., Holmes, A., Maclarnon, A., & Semple, S. (2012a). Cognitive bias in a non-human primate: Husbandry procedures influence cognitive indicators of psychological well-being in captive rhesus macaques. Animal Welfare – The UFAW Journal, 21, 185195.CrossRefGoogle Scholar
Bethell, E. J., Holmes, A., MacLarnon, A., & Semple, S. (2012b). Evidence that emotion mediates social attention in rhesus macaques. PLOS One, 7, e44387.Google Scholar
Bethell, E. J., Holmes, A., MacLarnon, A., & Semple, S. (2016). Emotion evaluation and response slowing in a non-human primate: New directions for cognitive bias measures of animal emotion? Behavioral Sciences, 6, article 2.Google Scholar
Blanchette, I., & Richards, A. (2010). The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning. Cognition and Emotion, 24, 561595.CrossRefGoogle Scholar
Blaney, P. H. (1986). Affect and memory: A review. Psychological Bulletin, 99, 229246.Google Scholar
Booth, R. W., Mackintosh, B., Mobini, S., Oztop, P., & Nunn, S. (2014). Cognitive bias modification of attention is less effective under working memory load. Cognitive Therapy and Research, 38, 634639.CrossRefGoogle Scholar
Booth, R. W., Mackintosh, B., & Sharma, D. (2017). Working memory regulates trait anxiety-related threat processing biases. Emotion, 17, 616627.CrossRefGoogle ScholarPubMed
Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100, 316336.CrossRefGoogle ScholarPubMed
Cristea, I. A., Kok, R. N., & Cuijpers, P. (2015). Efficacy of cognitive bias modification interventions in anxiety and depression: Meta-analysis. British Journal of Psychiatry, 206, 716.Google Scholar
Del Guidice, M., & Ellis, B. J. (2915). Evolutionary foundations of developmental psychopathology. In Ciccetti, D. (Ed.), Developmental psychopathology: Developmental neuroscience (Vol. 2, 3rd. ed., pp. 158). New York: Wiley.Google Scholar
Derryberry, D., & Reed, M. A. (2002). Anxiety-related attentional biases and their regulation by attentional control. Journal of Abnormal Psychology, 111, 225236.Google Scholar
Disner, S. G., Beevers, C. G., Haigh, E. A., & Beck, A. T. (2011). Neural mechanisms of the cognitive model of depression. Nature Reviews Neuroscience, 12, 467477.Google Scholar
Donaldson, C., Lam, D., & Mathews, A. (2007). Rumination and attention in major depression. Behaviour Research and Therapy, 45, 26642678.CrossRefGoogle ScholarPubMed
Durisko, Z., Mulsant, B. H., & Andrews, P. W. (2015). An adaptationist perspective on the aetiology of depression. Journal of Affective Disorders, 172, 315323.CrossRefGoogle ScholarPubMed
Everaert, J., Grahek, I., & Koster, E. H. W. (2017a). Individual differences in cognitive control over emotional material modules cognitive biases linked to depressive symptoms. Cognition and Emotion, 31, 736746.CrossRefGoogle Scholar
Everaert, J., Podina, I. R., & Koster, E. H. W. (2017b). A comprehensive meta-analysis of interpretation bias in depression. Clinical Psychology Review, 58, 3348.Google Scholar
Eysenck, H. J., & Eysenck, M. W. (1985). Personality and individual differences: A natural science approach. New York: Plenum.CrossRefGoogle Scholar
Eysenck, M. W. (1992). Anxiety: The cognitive perspective. Hove, UK: Psychology Press.Google Scholar
Eysenck, M. W. (1997). Anxiety and cognition: A unified theory. Hove, UK: Psychology Press.Google Scholar
Eysenck, M. W. (2016). Hans Eysenck: A research evaluation. Personality and Individual Differences, 103, 209219.CrossRefGoogle Scholar
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7, 336353.CrossRefGoogle ScholarPubMed
Eysenck, M. W., & Fajkowska, M. (2018). Anxiety and depression: Toward overlapping and distinctive features. Cognition and Emotion, 32, 13911400.CrossRefGoogle ScholarPubMed
Eysenck, M. W., & Keane, M. T. (2015). Cognitive psychology: A student’s handbook (7th ed.). Hove, UK: Psychology Press.Google Scholar
Eysenck, M. W., MacLeod, C., & Mathews, A. (1987). Cognitive functioning and anxiety. Psychological Research, 49, 189195.Google Scholar
Eysenck, M. W., Mogg, K., May, J., Richards, A., & Mathews, A. (1991). Bias in interpretation of ambiguous sentences related to threat in anxiety. Journal of Abnormal Psychology, 100, 144150.CrossRefGoogle ScholarPubMed
Eysenck, M. W., Payne, S., & Santos, R. (2006). Anxiety and depression: Past, present, and future events. Cognition and Emotion, 20, 274294.CrossRefGoogle Scholar
Eysenck, M. W., & Van Berkum, J. (1992). Trait anxiety, defensiveness, and the structure of worry. Personality and Individual Differences, 13, 12851290.Google Scholar
Foland-Ross, L. C., & Gotlib, I. H. (2012). Cognitive and neural aspects of information processing in major depressive disorder: An integrative perspective. Frontiers in Psychology, 3, article 489.Google Scholar
Gaddy, M. A., & Ingram, R. E. (2014). A meta-analytic review of mood-congruent implicit memory in depressed mood. Clinical Psychology Review, 34, 402416.CrossRefGoogle ScholarPubMed
Gotlib, I., & Cane, D. B. (1987). Construct accessibility and clinical depression: A Longitudinal investigation. Journal of Abnormal Psychology, 96, 199204.Google Scholar
Gotlib, I., & McCann, C. D. (1984). Construct accessibility and depression: An examination of cognitive and affective factors. Journal of Personality and Social Psychology, 47, 427439.Google Scholar
Grafton, B., MacLeod, C., Rudaizky, D., Holmes, E. A., Salemink, E., Fox, E., & Notebaert, L. (2017). Confusing procedures with process when appraising the impact of cognitive bias modification on emotional vulnerability. British Journal of Psychiatry, 211, 266271.Google Scholar
Hallion, L. S., & Ruscio, A. M. (2011). A meta-analysis of the effect of cognitive bias modification on anxiety and depression. Psychological Bulletin, 137, 940958.CrossRefGoogle ScholarPubMed
Harding, E. J., Paul, E. S., & Mendl, M. (2004). Animal behavior: Cognitive bias and affective state. Nature, 427, 312.CrossRefGoogle ScholarPubMed
Heeren, A., De Raedt, R., Koster, E. H. W., & Philpott, P. (2013). The (neuro)cognitive mechanisms behind attention bias modification in anxiety: Proposals based on theoretical accounts of attentional bias. Frontiers in Human Neuroscience, 7, article 119.Google Scholar
Herrera, S., Montorio, I., Cabrera, I., & Botella, J. (2017). Memory bias for threatening information related to anxiety: An updated meta-analytic review. Journal of Cognitive Psychology, 29, 832854.Google Scholar
Hertel, P. T., & El-Messidi, L. (2006). Am I blue? Depressed mood and the consequences of self-focus for the interpretation and recall of ambiguous words. Behavior Therapy, 37, 259268.CrossRefGoogle Scholar
Holland, A. C., & Kensinger, E. A. (2010). Emotion and autobiographical memory. Physics of Life Reviews, 7, 88131.CrossRefGoogle ScholarPubMed
Huppert, J. D. (2008). Anxiety disorders and depression comorbidity. In Antony, M. M. & Stein, M. B. (Eds.), Oxford handbook of anxiety and related disorders (pp. 572587). Oxford, UK: Oxford University Press.Google Scholar
Joormann, J., Yoon, K. L., & Zestche, U. (2007). Cognitive inhibition in depression. Applied and Preventative Psychology, 12, 128139.Google Scholar
Joormann, J., & Tanovic, E. (2015). Cognitive vulnerability to depression: Examining Cognitive control and emotion regulation. Current Opinions in Psychology, 4, 8692.Google Scholar
Judah, M. R., Grant, D. M., Lechner, W. V., & Mills, A. C. (2013). Working memory load moderates late attentional bias in social anxiety. Cognition and Emotion, 27, 502511.Google Scholar
Kaiser, R. H., Andrews-Hanna, J. R., Spielberg, J. M., Warren, S. L., Sutton, B. P., Miller, G. A., … Banich, M. T. (2015). Distracted and down: Neural mechanisms of affective interference in subclinical depression. Social, Cognitive and Affective Neuroscience, 10, 654663.Google Scholar
Khazanov, G. K., & Ruscio, A. M. (2016). Is low positive emotionality a specific risk factor For depression? A meta-analysis of longitudinal studies. Psychological Bulletin, 142, 9911015.CrossRefGoogle ScholarPubMed
Koster, E. H. W., Hoorelbeke, K., Onraedt, T., Owens, M., & Derakshan, N. (2017). Cognitive control interventions for depression: A systematic review of findings from training studies. Clinical Psychology Review, 53, 7992.Google Scholar
Lau, J. Y. F. (2015). Commentary: A glass half full or half empty? Cognitive bias Modification for mental health problems in children and adolescents – Reflections on the meta-analysis by Cristea et al. (2015). Journal of Child Psychology and Psychiatry, 56, 735737.Google Scholar
Lemogne, C., Delaveau, P., Freton, M., Guionnet, S., & Fossati, P. (2012). Medial prefrontal cortex and the self in major depression. Journal of Affective Disorders, 136, e1e11.Google Scholar
MacLeod, A. K. (2016). Prospection, well-being and memory. Memory Studies, 9, 266274.Google Scholar
Mitte, K. (2008). Memory bias for threatening information in anxiety and anxiety disorders: A meta-analytic review. Psychological Bulletin, 134, 886911.Google Scholar
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, 814.CrossRefGoogle ScholarPubMed
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49100.Google Scholar
Mogg, K., Bradley, B. P., & Williams, R. (1995). Attentional bias in anxiety and depression: The role of awareness. British Journal of Clinical Psychology, 34, 1736.Google Scholar
Mogg, K., Bradley, B. P., Williams, R., & Mathews, A. (1993). Subliminal processing of emotional information in anxiety and depression. Journal of Abnormal Psychology, 102, 304311.Google Scholar
Mogg, K., Waters, A. M., & Bradley, B. (2017). Attention bias modification (ABM): Review of effects of multi-session ABM on anxiety and threat-related attention in high-anxious individuals. Clinical Psychological Science, 5, 698717.Google Scholar
Murphy, F. C., Michael, A., & Sahakian, B. J. (2012). Emotion modulates cognitive flexibility in patients with major depression. Psychological Medicine, 42, 13731382.Google Scholar
Oatley, K., & Johnson-Laird, P. N. (1987). Towards a cognitive theory of emotions. Cognition and Emotion, 1, 2950.Google Scholar
Olatunji, B. O., Wolitzky-Taylor, K. B., Sawchuk, C. N., & Ciesielski, B. G. (2010). Worry and the anxiety disorders: A meta-analytic synthesis of specificity to GAD. Applied and Preventive Psychology, 14, 124.Google Scholar
Phillips, W. J., Hine, D. W., & Thorsteinsson, E. B. (2010). Implicit cognition and depression: A meta-analysis. Clinical Psychology Review, 30, 691709.Google Scholar
Pomerantz, A. M., & Rose, P. (2014). Is depression the past tense of anxiety? An empirical study of the temporal distinction. International Journal of Psychology, 49, 446452.Google Scholar
Raes, F., Hermans, D., Williams, J. M. G., Beyers, W., Eelen, P., & Brunfaut, E. (2006). Reduced autobiographical memory specificity and rumination in predicting the course of depression. Journal of Abnormal Psychology, 115, 699.Google Scholar
Richards, A., Blanchette, I., & Munjiza, J. (2007). Contextual influences in the resolution of ambiguity in anxiety. Cognition and Emotion, 21, 879890.Google Scholar
Richards, A., Holmes, A., Pell, P. J., & Bethell, E. J. (2013). Adapting effects of emotional expression in anxiety: Evidence for an enhanced late positive potential. Social Neuroscience, 8, 650664.Google Scholar
Rinaldi, L., Locati, F., Parolin, L., & Girelli, L. (2017). Distancing the present self from the past and the future: Psychological distance in anxiety and depression. The Quarterly Journal of Experimental Psychology, 70, 11061113.CrossRefGoogle ScholarPubMed
Sari, D. A., Koster, E. H. W., Pourtois, G., & Derakshan, N. (2016). Training working memory to improve attentional control in anxiety: A proof-of-principle study using behavioral and electrophysiological measures. Biological Psychology, 121, 203212.Google Scholar
Saunders, B., & Jentzsch, I. (2014). Reactive and proactive control adjustments under increased depressive symptoms: Insights from the classic and emotional-face Stroop task. Quarterly Journal of Experimental Psychology, 67, 684698.Google Scholar
Schacter, D. L. (1987). Implicit memory: History and current status. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 501518.Google Scholar
Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imaging, and the brain. Neuron, 76, 677694.Google Scholar
Starr, L. R., & Davila, J. (2012). Temporal patterns of anxious and depressed mood in generalized anxiety disorder: A daily diary study. Behaviour Research and Therapy, 50, 131141.Google Scholar
Sumner, J. A., Griffith, J. W., & Mineka, S. (2010). Overgeneral autobiographical memory as a predictor of the course of depression: A meta-analysis. Behaviour Research and Therapy, 48, 614625.Google Scholar
Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014). A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition. Proceedings of the National Academy of Sciences of the United States of America, 111, 1841418421.Google Scholar
Taylor, C. T., Cross, K., & Amir, N. (2016). Attentional control moderates the relationship between social anxiety symptoms and attentional disengagement from threatening information. Journal of Behavior Therapy and Experimental Psychiatry, 50, 6876.Google Scholar
Vukasović, T., & Bratko, D. (2015). Heritability of personality: A meta-analysis of behavior genetic studies. Psychological Bulletin, 141, 769785.CrossRefGoogle ScholarPubMed
Walsh, J. J., McNally, M. A., Skariah, A., Butt, A. A., & Eysenck, M. W. (2015). Interpretive bias, repressive coping, and trait anxiety. Anxiety, Stress and Coping, 28, 617633.Google Scholar
Watson, D. (2009). Differentiating the mood and anxiety disorders: A quadpartite model. Annual Review of Clinical Psychology, 5, 221247.Google Scholar
Watson, D., & Clark, L. A. (1984). Negative Affectivity: The disposition to experience aversive emotional states. Psychological Bulletin, 96, 465490.Google Scholar
Williams, J. M. G., Watts, F. N., MacLeod, C. M., & Mathews, A. (1997). Cognitive psychology and emotional disorders (2nd ed.). Chichester, UK: Wiley.Google Scholar
Winer, E. S., & Salem, T. (2016). Reward devaluation: Dot-probe meta-analytic evidence of avoidance of positive information in depressed persons. Psychological Bulletin, 142, 1878.Google Scholar
Wisco, B. E., & Nolen-Hoeksma, S. (2010). Interpretation bias and depression symptoms: The role of self-relevance. Behaviour Research and Therapy, 48, 11131122.Google Scholar
Wittchen, H.-U., Kessler, R. C., Pfister, H., & Lieb, M. (2000). Why do people with anxiety disorders become depressed? A prospective-longitudinal community study. Acta Psychiatrica Scandinavica, 102, 1423.Google Scholar

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