The research shows that personality assessment can be achieved by regression model based on electroencephalogram (EEG). Most of existing researches use event-related potential or power spectral density for personality assessment, which can only represent the brain information of a single region. But some research shows that human cognition is more dependent on the interaction of brain regions. In addition, due to the distribution difference of EEG features among subjects, the trained regression model can not get accurate results of cross subject personality assessment. In order to solve the problem, this research proposes a personality assessment method based on EEG functional connectivity and domain adaption. This research collected EEG data from 45 normal people under different emotional pictures (positive, negative and neutral). Firstly, the coherence of 59 channels in 5 frequency bands was taken as the original feature set. Then the feature-based domain adaptation was used to map the feature to a new feature space. It can reduce the distribution difference between training and test set in the new feature space, so as to reduce the distribution difference between subjects. Finally, the support vector regression model was trained and tested based on the transformed feature set by leave-one-out cross-validation. What's more, this paper compared the methods used in previous researches. The results showed that the method proposed in this paper improved the performance of regression model and obtained better personality assessment results. This research provides a new method for personality assessment.
Algorithms ; Brain ; Electroencephalography/methods* ; Emotions ; Humans ; Personality Assessment

PURPOSE: The purpose of this study was to investigate the relationship between depression and aggression in patients with coronary artery disease. METHODS: This study used Korean version of Personality Assessment Inventory (PAI). SPSS/WIN 23.0 statistical program was used. The data were analyzed by descriptive statistics, independent t-test, one-way ANOVA, and Scheffé-test to know the differences in depression and aggression according to the general characteristics. The correlation between depression and aggression was analyzed by Pearson's correlation coefficient and multiple linear regression analysis was conducted to determine the effect of depression on aggression. RESULTS: There was no statistically significant effect on verbal and physical aggression according to sub-factors of depression. However. aggressive attitude due to emotional depression was statistically significant (β=.23, p=.031). CONCLUSION: If nurses recognize the psychological and emotional problems as well as the physical symptoms of patients with coronary artery disease and train themselves in a systematic manner, they will be able to return to their normal daily lives.
Aggression ; Coronary Artery Disease ; Coronary Vessels ; Depression ; Humans ; Linear Models ; Personality Assessment

PURPOSE: This study was performed to identify the factors that influence dysmenorrhea. METHODS: In this study, 205 female participants were enrolled. Data were collected using a structured questionnaire that included scales to assess general characteristics, personality type, dietary assessment, eincrease exposure toward endocrine disrupting chemicals, and the occurrence of dysmenorrhea. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlational coefficient, and stepwise multiple regression, using the SPSS/WIN 21.0 program. RESULTS: The average score for dysmenorrhea was 85.04±32.69 points. The percentage of participants belonging to the Type D Personality group was 21.0%. Type D Personality (r=0.473, p < 0.001) and increase exposure toward endocrine disrupting chemicals (r=0.532, p < 0.001) correlated moderately with the level of dysmenorrhea. The correlation between the degree of dietary assessment and the level of dysmenorrhea was weakly negative (r=−0.170, p < 0.05). The most powerful predictor of dysmenorrhea was personality type (β=0.37, p < 0.001). A combination of the following factors accounted for 27.3% of the variance in dysmenorrhea: menstrual amount, menstrual regulation, occupation, and marital status. CONCLUSIONS: The results indicate that when nursing assessments and interventions are performed for women with dysmenorrhea, it is necessary for nurses to take into account the personality type of the patient.
Dysmenorrhea ; Endocrine Disruptors ; Female ; Humans ; Marital Status ; Nursing Assessment ; Occupations ; Type D Personality ; Weights and Measures

OBJECTIVES: The purpose of this study was to compare psychological test profiles of psychiatric outpatients with high and low depression/suicide ideation and to identify predictor variables for depression/suicide ideation. METHODS: Component scores of the Personality Assessment Inventory (PAI) and Minnesota Multiphasic Personality Inventory-2 (MMPI-2) were compared using t-tests. Discriminant analysis was conducted for predictor variables of depression/suicide ideation. RESULTS: Regarding PAI profiles, somatic complaints (SOM), anxiety (ANX), anxiety-related disorder (ARD), depression (DEP), paranoia (PAR), borderline features (BOR), antisocial features (ANT), mania (MAN) drug problems (DRG) scores were significantly elevated in high depression and high suicide ideation groups. Concerning MMPI-2 profiles, the scores of hypochondriasis (Hs), depression (D), hysteria (Hy), psychopathic deviate (Pd), paranoia (Pa), psychasthenia (Pt), schizophrenia (Sc), social introversion (Si) were significantly elevated in these same groups. The PAI and MMPI-2 profile shapes were remarkably similar between high depression and high suicide ideation groups. Therefore, in terms of psychological profile, depression and suicidal ideation seemed to reflect the same construct. However, in discriminant analysis, significant predictors for depression were found to be Pt and D Sc from MMPI-2, while those for suicide ideation were found to be Pa and Sc, suggest subtle differences. CONCLUSION: The superficial characteristics of depression and suicide ideation groups reflected by the psychological test profiles seemed similar, but the determining factors may differ. Thus, the psychological interventions for these two groups may have to follow different routes considering these subtle differences.
Anxiety ; Bipolar Disorder ; Depression ; Discriminant Analysis ; Humans ; Hypochondriasis ; Hysteria ; Introversion (Psychology) ; Minnesota ; Outpatients ; Paranoid Disorders ; Personality Assessment ; Psychological Tests ; Schizophrenia ; Suicidal Ideation ; Suicide

OBJECTIVES: This study was conducted to develop a Personality Assessment Scale for Hospital Employees (PAS-HE). Most current personality scales for recruiting employees have focused on evaluating the negative aspects of mental health. The present study sought to develop a Self-Report Questionnaire that assessed not only mental health problems but also positive personality traits and character strengths, as well as capabilities for hospital work. METHODS: Initially, a preliminary item pool was constructed and administered to psychiatry outpatients (n=44), hospital employees (n=217), and normal adults matched to hospital employees (n=217). Using the data from the three groups, the final 250 items for the PAS-HE were selected. Next, using data from 637 normal adults, internal consistency, test-retest reliability, and factor structure were examined and age norms were calculated for each of four age groups (18–25, 26–35, 36–45, 46–55 years). RESULTS: The PAS-HE showed moderate to high internal consistency, good temporal stability, and good construct validity. Factor structure and t-score norms (mean=50, SD=10) for each age group were established. CONCLUSION: The results of this study indicated the reliability and validity of the developed PAS-HE, suggesting that the PAS-HE can be time- and cost-efficient when used for recruitment and human resource management in hospitals.
Adult ; Humans ; Mental Health ; Outpatients ; Personality Assessment* ; Reproducibility of Results ; Weights and Measures

OBJECTIVES: The Personality Belief Questionnaire-Short Form (PBQ-SF) is a self-report instrument for assessment of dysfunctional beliefs based on Beck's cognitive formulations of personality disorders. The aims of this study was to examine the reliability and validity of the Korean version of PBQ-SF in clinical samples. METHODS: The Korean version of PBQ-SF was examined in 115 participants (50 patients with personality disorder and 65 patients without personality disorder). All participants were assessed for personality disorder using the semi-structured clinical interview of the Personality Assessment Schedule. The construction validity was examined by correlation with Beck Depression Inventory, Spielberger State-Trait Anxiety Inventory, and Neuroticism-Extraversion-Openness Five-Factor Inventory neuroticism scales. Twenty four randomly sampled patients were examined for the test-retest reliability. RESULTS: The Korean version of PBQ-SF showed good internal consistency [Cronbach's alpha=0.73 (schizoid)-0.92 (paranoid)] and test-retest reliability [r=0.74 (narcissistic)-0.92 (paranoid)]. The PBQ-SF was correlated with depression, anxiety, and neuroticism. The overall subscales of PBQ-SF were correlated with Diagnostic and Statistical Manual of Mental Disorders based diagnosis of personality disorders. CONCLUSION: Consistent with previous findings using the Korean full version of PBQ as well as the English version of PBQ-SF, our results support that the Korean version of PBQ-SF is a reliable and valid instrument for assessment of dysfunctional beliefs associated with personality pathology.
Anxiety ; Appointments and Schedules ; Depression ; Diagnosis ; Diagnostic and Statistical Manual of Mental Disorders ; Humans ; Pathology ; Personality Assessment ; Personality Disorders ; Reproducibility of Results ; Weights and Measures

PURPOSE: This cross-sectional, descriptive study analyzes the association between personality traits and internet addiction in adolescents. METHODS: The study was conducted with 328 adolescents attending two high schools in the Aegean region of Turkey. The data were collected using a sociodemographic information questionnaire, the Internet Addiction Scale and the Adjective Based Personality Scale from students who gave their informed consent to participate. Data were assessed by descriptive statistics, t tests, and logistic regression analysis, using SPSS software. RESULTS: The students had an average age of 16.43 +/- 1.47 years and 40.5% were female. The percentage of subjects at risk of internet addiction was 15.9% (n = 52), and 42.4% (n = 22) of them reported that the amounts of time they spent online was acceptable. We found statistically significant differences in the average subdimensional scores for extraversion (t = 2.310, p < .050) and openness to experience (t = 3.35, p < .001), and between students at risk of internet addiction (n = 52) and those who were not (n = 276). CONCLUSIONS: Adolescents who were found to be at risk of internet addiction nevertheless reported on the survey questionnaires that the amount of time they spent online was acceptable. The study determined that participants' risk of internet addiction was associated with their levels of extraversion and openness to experience.
Adolescent ; Adolescent Behavior/*psychology ; Behavior, Addictive/*psychology ; Cross-Sectional Studies ; Female ; Humans ; *Internet ; Male ; *Personality ; Risk Assessment ; Risk Factors ; Surveys and Questionnaires ; Turkey

OBJECTIVES: The purpose of this study was to examine the factor structure of the Adolescent Personality Assessment Inventory (PAI-A) in a standardized adolescent sample using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). METHODS: For this purpose, three models about factor structure of the PAI-A were explored with EFA in 490 adolescents and then were evaluated with CFA in 268 young offenders. RESULTS: The results showed that the five factor model was considered to be most appropriate for factor structures of the PAI-A in EFA. However, none of the factor models were appropriate for the factor structures of the PAI-A in CFA. CONCLUSION: These findings suggest that the "five factor model" is thought to explain the PAI-A the best, but further studies are needed.
Adolescent* ; Criminals ; Factor Analysis, Statistical* ; Humans ; Neuropsychological Tests ; Personality Assessment* ; Psychometrics

OBJECTIVES: The aims of this study were to evaluate acceptability and usefulness of the Korean version of Self-report Standardized Assessment of Personality-Abbreviated Scale (SAPAS-SR) as an instrument for screening patients with a personality disorder. METHODS: The Korean version of the SAPAS-SR was administered to a non-random sample of 186 psychiatric patients (155 patients with a personality disorder and 31 patients with no personality disorder). The International Classification of Diseases 10th version Personality Assessment Schedule was used as a gold standard in diagnosis of personality disorder. Receiver-operant-characteristics and validity indicators were determined. In addition, the SAPAS-SR was administered to 22 healthy men to examine the test-retest reliability. RESULTS: The area under the curve for the SAPAS-SR was 0.69 (95% confidence interval 0.59-0.79). The SAPAS-SR score of 4 or more correctly classified 67.2% of patients with a personality disorder. Sensitivity (0.67) and specificity (0.68) were slightly lower compared with the original English version. CONCLUSION: This study provides preliminary evidence of the usefulness of the Korean version of the SAPAS-SR as a self-administered instrument for screening personality disorders in the clinical population.
Appointments and Schedules ; Diagnosis ; Humans ; International Classification of Diseases ; Male ; Mass Screening* ; Personality Assessment ; Personality Disorders* ; Sensitivity and Specificity

OBJECTIVES: This study examined the characteristics and differences of PAI(Personality Assessment Inventory) profile between compensation-seeking(CS) and treatment-seeking(TS) patients with traumatic brain injury(TBI) and assessed the clinical meaning of the characteristics and differences of profiles between the two groups. METHODS: 36 TBI patients who visited the Wonkwang University Hospital were selected. The patients were categorized as compensation-seeking TBI patients(n=22) and treatment-seeking TBI patients(n=14). The PAI scales and subscales were used to compare differences between two groups. t-verification for each variable and comparison analysis were performed. RESULTS: In validity scales, CS group showed significantly higher NIM scores and lower PIM scores than TS groups. In full scales, CS group showed significantly higher SOM, ANX, ARD, DEP, and SCZ scores than TS group. In subscales, CS group showed significantly higher SOM-S, ANX-A, ARD-P, DEP(-C, A, P), (MAN-I), PAR-H, SCZ(-T, P), BOR(-A, N), and ANT-S scores than TS groups. In supplementary scales, CS group showed significantly higher SUI, NON and AGG-P, and lower RXR scores than TS group. CONCLUSIONS: There were significant differences in PAI scales with validity scales, some full and subscales according to compensation seeking status in TBI patients. The CS patients tended to exaggerate their symptoms on PAI, and showed higher scores representing somatic preoccupation and emotional distress. These results show the usefulness of PAI in reflecting the significant psychological differences between two groups.
Brain ; Brain Injuries* ; Compensation and Redress ; Humans ; Personality Assessment* ; Weights and Measures