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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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Zhuang Z, Yao M, Wong JYY, Liu Z, Huang T. Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis. BMC Med 2021; 19:100. [PMID: 33910581 PMCID: PMC8082910 DOI: 10.1186/s12916-021-01972-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 03/23/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accumulating evidences have suggested that high body fat percentage (BF%) often occurs in parallel with cardiovascular diseases (CVDs), implying a common etiology between them. However, the shared genetic etiology underlying BF% and CVDs remains unclear. METHODS Using large-scale genome-wide association study (GWAS) data, we investigated shared genetics between BF% (N = 100,716) and 10 CVD-related traits (n = 6968-977,323) with linkage disequilibrium score regression, multi-trait analysis of GWAS, and transcriptome-wide association analysis, and evaluated causal associations using Mendelian randomization. RESULTS We found strong positive genetic correlations between BF% and heart failure (HF) (Rg = 0.47, P = 1.27 × 10- 22) and coronary artery disease (CAD) (Rg = 0.22, P = 3.26 × 10- 07). We identified 5 loci and 32 gene-tissue pairs shared between BF% and HF, as well as 16 loci and 28 gene-tissue pairs shared between BF% and CAD. The loci were enriched in blood vessels and brain tissues, while the gene-tissue pairs were enriched in the nervous, cardiovascular, and exo-/endocrine system. In addition, we observed that BF% was causally related with a higher risk of HF (odds ratio 1.63 per 1-SD increase in BF%, P = 4.16 × 10-04) using a MR approach. CONCLUSIONS Our findings suggest that BF% and CVDs have shared genetic etiology and targeted reduction of BF% may improve cardiovascular outcomes. This work advances our understanding of the genetic basis underlying co-morbid obesity and CVDs and opens up a new way for early prevention of CVDs.
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Affiliation(s)
- Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China. 38 Xueyuan Road, Beijing, 100191, China
| | - Minhao Yao
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Zhonghua Liu
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China.
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, China. 38 Xueyuan Road, Beijing, 100191, China. .,Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, 100191, China. .,Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, 100191, China.
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Relationship of a big five personality questionnaire to the symptoms of affective disorders. J Affect Disord 2020; 277:14-20. [PMID: 32777603 DOI: 10.1016/j.jad.2020.07.122] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 06/18/2020] [Accepted: 07/28/2020] [Indexed: 12/30/2022]
Abstract
Online assessments allow cost-effective, large-scale screening for psychiatric vulnerability (e.g., university undergraduates or military recruits). However, conventional psychiatric questionnaires may worsen mental health outcomes due to overmedicalizing normal emotional reactions. Personality questionnaires designed for occupational applications could circumvent this problem as they utilise non-clinical wording and it is well-established that personality traits influence susceptibility to psychiatric illness. Here we present a brief, free-to-use occupational personality questionnaire, and test its sensitivity to symptoms of Bipolar Disorder (BD) and Major Depressive Disorder (MDD) in an online sample. Our study used a cross-sectional, self-report design to assess the relationship between self-reported symptoms of affective disorders and scores on the personality dimensions of openness, conscientiousness, extraversion, agreeableness and neuroticism. We used SEM to compare affective symptoms in 8,470 individuals (mean age 25.6 ± 7.0 years; 4,717 male) with scores on an online adaption of the TSDI, a public-domain 'Big Five' personality questionnaire. ROC curve analyses assessed cut off scores for the best predictors of overall vulnerability to affective disorders (represented by a composite screening score). Neuroticism was the most robust predictor of QIDS-16 depression symptoms and MDQ Hypomania symptoms (β = 0.68 and 0.39 respectively, p < .0001). Extraversion was the most robust predictor of HCL-16 Hypomania symptoms (β = 0.34, p < .0001). ROC curve analyses suggest if the TSDI was used for screening in this sample, neuroticism cut offs of approximately 58 for men and 70 for women would provide the most useful classification of overall vulnerability to affective disorders.
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