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Fleischmann E, Dalkner N, Fellendorf FT, Bengesser SA, Lenger M, Birner A, Queissner R, Platzer M, Tmava-Berisha A, Maget A, Wagner-Skacel J, Stross T, Schmiedhofer F, Smolle S, Painold A, Reininghaus EZ. The Big Five as Predictors of Cognitive Function in Individuals with Bipolar Disorder. Brain Sci 2023; 13:brainsci13050773. [PMID: 37239245 DOI: 10.3390/brainsci13050773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/02/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
The connection between cognitive function and the "Big Five" personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) in the general population is well known; however, studies researching bipolar disorder (BD) are scarce. Therefore, this study aimed to investigate the Big Five as predictors of executive function, verbal memory, attention, and processing speed in euthymic individuals with BD (cross-sectional: n = 129, including time point t1; longitudinal: n = 35, including t1 and t2). Participants completed the NEO Five-Factor Inventory, the Color and Word Interference Test, the Trail Making Test, the d2 Test of Attention Revised, and the California Verbal Learning Test. The results showed a significant negative correlation between executive function and neuroticism at t1. Changes in cognitive function between t1 and t2 did not correlate with and could not be predicted by the Big Five at t1. Additionally, worse executive function at t2 was predicted by higher neuroticism and lower conscientiousness at t1, and high neuroticism was a predictor of worse verbal memory at t2. The Big Five might not strongly impact cognitive function over short periods; however, they are significant predictors of cognitive function. Future studies should include a higher number of participants and more time in between points of measurement.
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Affiliation(s)
- Eva Fleischmann
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Frederike T Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Susanne A Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Melanie Lenger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Robert Queissner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Adelina Tmava-Berisha
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Alexander Maget
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Jolana Wagner-Skacel
- Department of Medical Psychology and Psychotherapy, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Tatjana Stross
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Franziska Schmiedhofer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Stefan Smolle
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Annamaria Painold
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
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Psychological risk factors and the course of depression and anxiety disorders: A review of 15 years NESDA research. J Affect Disord 2021; 295:1347-1359. [PMID: 34706448 DOI: 10.1016/j.jad.2021.08.086] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/24/2021] [Accepted: 08/26/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND The Netherlands Study of Depression and Anxiety (NESDA; Nbaseline=2981) is an ongoing longitudinal, multi-site, naturalistic, cohort study examining the etiology, course, and consequences of depression and anxiety. In this article we synthesize and evaluate fifteen years of NESDA research on prominent psychological risk factors for the onset, persistence, recurrence, and comorbidity of affective disorders. METHODS A narrative review of 62 NESDA articles examining the specificity and predictive value of neuroticism, behavioral inhibition, repetitive negative thinking, experiential avoidance, cognitive reactivity, locus of control, (implicit) self-esteem, (implicit) disorder-specific self-associations, and attentional bias for the course of affective disorders. RESULTS All self-reported risk factors showed cross-sectional relationships with singular and comorbid affective disorders, and prospective relationships with the development and chronicity of depression and anxiety disorders. High neuroticism, low self-esteem, and negative repetitive thinking showed most prominent transdiagnostic relationships, whereas cognitive reactivity showed most pronounced depression-specific associations. Implicit self-esteem showed predictive validity for the persistence and recurrence of anxiety and depression over and above self-reported risk factors. Automatic approach-avoidance behavior and attentional bias for negative, positive, or threat words showed no relationship with affective disorders. CONCLUSION NESDA identified both (a) transdiagnostic factors (e.g., neuroticism, low implicit self-esteem, repetitive negative thinking) that may help explain the comorbidity between affective disorders and overlap in symptoms, and (b) indications for disorder-specific risk factors (e.g., cognitive responsivity) which support the relevance of distinct disorder categories and disorder-specific mechanisms. Thus, the results point to the relevance of both transdiagnostic and disorder-specific targets for therapeutic interventions.
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