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Sohrabi Z, Bigdeli S, Nadjafi S. The relationship between personality traits and learning styles in medical education students at Iran University of Medical Sciences: A cross-sectional study. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2023; 12:7. [PMID: 37034878 PMCID: PMC10079184 DOI: 10.4103/jehp.jehp_1696_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 01/29/2022] [Indexed: 06/19/2023]
Abstract
BACKGROUND The relationship between personality traits and learning styles is an attractive subject for researchers. "Learning Style" indicates on a method of education for effective studying. The Kolb's Learning Style is a known theory in the field of learning style. The Kolb's four learning styles include: Divergent, convergent, assimilating, and accommodating. Furthermore, personality, known as relatively fixed and durable characteristics that distinguish people from each other, and personality contains five broad identified traits of extraversion, agreeableness, openness, conscientiousness, and neuroticism. In this study, we intended to evaluate the relationship between personality traits and learning styles in medical education students. MATERIALS AND METHODS This research was an observational analytic cross-sectional study that was conducted on medical education students at Iran University of Medical Sciences, between 2018 and 2019, and 31 students were participated as volunteers. NEO Five-Factor Inventory and the Kolb's learning style inventory (version 3.1) were used to evaluate the students' personality traits and learning styles, respectively. The simple and multiple analysis of multinomial logistic regression were used for statistical analysis. RESULTS The results indicated that if one unit would be added to the score of the "Extraversion" personality trait, the estimated odds, by which the student's learning style would become "Accommodating" rather than "Assimilating," is 1.3 times more than the basic condition, in which "Extraversion" score would be remained unchanged (P = 0.035). CONCLUSION It seems that "Accommodating" learning style might be related to "Extraversion" personality trait in medical education students. However, researches with a larger population are suggested.
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Affiliation(s)
- Zohreh Sohrabi
- Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Shoaleh Bigdeli
- Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Shabnam Nadjafi
- Center for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Neuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran
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Jonsdottir GA, Einarsson G, Thorleifsson G, Magnusson SH, Gunnarsson AF, Frigge ML, Gisladottir RS, Unnsteinsdottir U, Gunnarsson B, Walters GB, Steinthorsdottir V, Helgadottir A, Jonsdottir I, Gislason T, Thorsteinsson HS, Sigurdsson E, Haraldsson M, Sigurdsson EL, Bjarnason R, Olafsson I, Thorgeirsson G, Sulem P, Holm H, Thorsteinsdottir U, Gudbjartsson DF, Bjornsdottir G, Thorgeirsson TE, Stefansson H, Stefansson K. Genetic propensities for verbal and spatial ability have opposite effects on body mass index and risk of schizophrenia. INTELLIGENCE 2021. [DOI: 10.1016/j.intell.2021.101565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Eisenbarth H, Krammer S, Edwards BG, Kiehl KA, Neumann C. Structural analysis of the PCL-R and relationship to BIG FIVE personality traits and parenting characteristics in an Hispanic female offender sample. PERSONALITY AND INDIVIDUAL DIFFERENCES 2018; 129:59-65. [PMID: 30333675 DOI: 10.1016/j.paid.2018.03.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Valid measurement of psychopathic traits in females using the Psychopathy Checklist Revised (PCL-R) continues to be an under researched topic. Previous latent variable and other psychometric studies have raised questions concerning the structure and predictive effects of psychopathic traits in females. New cross-cultural research finds good support for a four-factor model of psychopathy in females and the predictive effects of the psychopathy factors (Declercq, Carter, & Neumann, 2015; Neumann, Hare, & Pardini, 2015). Nevertheless, additional research is needed on females, especially individuals from diverse cultural backgrounds. We investigated the factor structure and construct validity of the PCL-R in a female Hispanic sample (n = 155). Confirmatory factor analysis showed that the four-factor model provided an adequate fit. Furthermore, structural equation modelling revealed significant negative and positive predictive effects, respectively, between general personality (Agreeableness and Conscientiousness), and indifferent/abusive parenting with the broad syndrome of psychopathy.
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Affiliation(s)
| | | | - Bethany G Edwards
- University of New Mexico and The Mind Research Network, An affiliate of Lovelace Biomedical, Inc
| | - Kent A Kiehl
- University of New Mexico and The Mind Research Network, An affiliate of Lovelace Biomedical, Inc
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Lo MT, Hinds DA, Tung JY, Franz C, Fan CC, Wang Y, Smeland OB, Schork A, Holland D, Kauppi K, Sanyal N, Escott-Price V, Smith DJ, O'Donovan M, Stefansson H, Bjornsdottir G, Thorgeirsson TE, Stefansson K, McEvoy LK, Dale AM, Andreassen OA, Chen CH. Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders. Nat Genet 2017; 49:152-156. [PMID: 27918536 PMCID: PMC5278898 DOI: 10.1038/ng.3736] [Citation(s) in RCA: 207] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 11/02/2016] [Indexed: 12/13/2022]
Abstract
Personality is influenced by genetic and environmental factors and associated with mental health. However, the underlying genetic determinants are largely unknown. We identified six genetic loci, including five novel loci, significantly associated with personality traits in a meta-analysis of genome-wide association studies (N = 123,132-260,861). Of these genome-wide significant loci, extraversion was associated with variants in WSCD2 and near PCDH15, and neuroticism with variants on chromosome 8p23.1 and in L3MBTL2. We performed a principal component analysis to extract major dimensions underlying genetic variations among five personality traits and six psychiatric disorders (N = 5,422-18,759). The first genetic dimension separated personality traits and psychiatric disorders, except that neuroticism and openness to experience were clustered with the disorders. High genetic correlations were found between extraversion and attention-deficit-hyperactivity disorder (ADHD) and between openness and schizophrenia and bipolar disorder. The second genetic dimension was closely aligned with extraversion-introversion and grouped neuroticism with internalizing psychopathology (e.g., depression or anxiety).
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Affiliation(s)
- Min-Tzu Lo
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
| | | | | | - Carol Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Chun-Chieh Fan
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
- Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA
| | - Yunpeng Wang
- Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Olav B. Smeland
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Andrew Schork
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
- Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA
| | - Dominic Holland
- Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Karolina Kauppi
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
- Department of Radiation Sciences, Umea University, Sweden
| | - Nilotpal Sanyal
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
| | | | - Daniel J. Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | | | | | | | - Linda K. McEvoy
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
| | - Anders M. Dale
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
- Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Ole A. Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Chi-Hua Chen
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
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