Cognitive behavioral therapy on personality characteristics of cancer patients

BACKGROUND The main treatment methods for cancer include surgery,radiotherapy,chemotherapy,targeted drug therapy and so on.Patients often feel anger,anxiety,depression,and other negative psychological reactions in the process of treatment.AIM To explore the effects of cognitive behavioral therapy on the personality characteristics of cancer patients.METHODS According to the matching design requirements,150 cancer patients were divided into 3 groups based on sex,age,condition,and cultural background.Patients in the control group received conventional treatment.Patients in experimental group 1 received an intervention based on conventional treatment combined with cognitive behavioral therapy.Patients in experimental group 2 received family members'participation in addition to the treatment given in experimental group 1.An Eysenck personality questionnaire was used to investigate all the patients before and after the intervention,and the scores for psychosis,introversion,neuroticism,and concealment degree were analyzed.RESULTS Compared with the control group,for experimental group 1 and experimental group 2 before and after the intervention,the four dimensions of mental quality,neuroticism,introversion and concealment degree all decreased,and the difference was statistically significant(P<0.05).After the intervention,there were no obvious or statistically significant differences(P>0.05)among the control group,experimental group 1,and experimental group 2 for two personality traits,psychoticism and neuroticism,both inside and outside degree and all four dimensions.CONCLUSION Simple cognitive behavioral therapy could not change the personality characteristics of cancer patients quickly,but the patients’personality characteristics were significantly improved after treatment.

Influence of Personality Characteristics and Psychological Intervention on Treatment Satisfaction of Juvenile Orthodontic Patients

Orthodontics is the correction and treatment of malocclusion deformity caused by a variety of reasons.Malocclusion malformation has a direct impact on people’s facial features,while likely to cause some diseases involving the mouth in the long-term life.For adolescents,malocclusion has a great physical and mental impact.This article first have a simple overview of malocclusion deformity and orthodontic treatment,analysis of youth physical and mental development characteristics and adolescent personality traits.Through the way of completely random sampling,eighty teenage orthodontic patients can be divided into two groups,respectively as the control group and psychological intervention group.Though survey assessment after several stages treatment,explore impact on the psychological intervention in patients with juvenile orthodontic treatment satisfaction degree.

Correlation analysis of mental health conditions and personality of patients with alcohol addiction

BACKGROUND Alcohol addiction,or alcohol dependence,refers to a psychological state of strong craving for alcohol caused by drinking when both the drinking times and alcohol consumption reach a certain level.Alcohol addiction can cause irreversible damage,leading to mental illness or mental disorders,negative changes in their original personality,and a tendency to safety incidents such as committing suicide or violent attacks on others.Significant attention needs to be given to the mental health of alcohol addicts,which could reflect their abnormal personality traits.However,only a few papers on this issue have been reported in China.AIM To investigate the correlation between mental health and personality in patients with alcohol addiction.METHODS In this single-center observational study,we selected 80 patients with alcohol addiction as the research subjects,according to the criteria of the K10 scale to evaluate the mental health of patients with alcohol addiction,and divided these patients into four groups based on the evaluation results:Good,average,relatively poor and bad.And then analyzed the correlation between mental health conditions and personality characteristics from these four groups of patients.RESULTS The average score of the K10 scale(Kessler 10 Simple Psychological Status Assessment Scale)in 80 patients with alcohol addiction was 25.45 points,the median score was 25 points,the highest score was 50 points,and the lowest score was 11 points.Pearson's analysis showed that the K10 score was positively correlated with the scores of these two subscales,such as the P-subscale and the N-subscale(P<0.05).In contrast,the K10 score had no significant correlation with the scores from the E-subscale and the L-subscale(P>0.05).CONCLUSION The mental health conditions of patients with alcohol addiction are positively correlated with their personality characteristics.

Survey of Relationship between Personality Traits with Mental Health and Academic Staffs’ Job Satisfaction in the University of Guilan, Iran

The main aim of the research is survey of relationship between personality characteristics with academic staffs’ job satisfaction and mental health in the University of Guilan. The statistic population was all these academic staffs in the year of 2014 (500). 196 individuals have selected by Kerjecy & Morgan (1970) and random sampling method. The research instruments were personality characteristics (NEO), General Health Questionnaire (GHQ) and self-made questionnaires. Pearson’s Correlation, Multiple Regression and Multiple Variant (Manova) have used for analyzing data. Results showed that there was a relationship among neurotic and settlement’s personality characteristics with job satisfaction and neurotic, openness, extroversion personality characteristics and settlement with mental health. Some of personality characteristics had been anticipators of mental health and job satisfaction and personality characteristics with mental health and job satisfaction had differenced depend on sociologic variances relationships.

Vocational School Students With Five-Factor Model of Personality Determination of Personality Profile

Personality refers to the integration of feelings, thoughts, and behaviors specific to individual. The fact that personality has a distinguishing feature among individuals explains different behaviors of individuals against events and situations. This arises from the fact that personality is specific to individual and is affected by the effects of many factors with which it interacts, and from the integration of them. In this context, this research is based on the hypothesis that there is a relationship between vocs.tionai school students＇ demographic features including their family, socio-culture, geographical environments （gender, age, department, grade, parental education, number of siblings, birth order in the family, and the family＇s income levels）, and the personality profiles. The research was carded out as part of five-factor model of personality in an attempt to determine whether vocational school students＇ personality profiles vary according to demographic variables and to reveal the relationship between them. The research sample consisted of 220 students selected from the students studying in Altmta~ Vocational School in the Spring Term of the 2013-2014 Academic Year. Data were analyzed via SPSS 15.0 statistical package program by performing t-test, analysis of variance and logistic regression analysis. While a significant difference was found between students＇ five-factor personality profiles according to gender, age, department, average, father＇s education, and the number of siblings, no significant difference was found among grade, mother＇s education, birth order in the family, and income levels. Moreover, independent variables affecting students＇ academic averages were determined as a result of the logistic regression analysis.

Evaluation of clinical competence and its related factors among ICU nurses in Kermanshah-Iran: A cross-sectional study

Objectives:The present study was conducted to evaluate the clinical competence and its related demographic factors among critical care nurses in Kermanshah,Iran.Methods:In this cross-sectional study,155 Iranian nurses were selected by stratified random sampling.The data collection tools included a personal information form and the"Nurse Competence Scale".Data were analyzed using descriptive and analytical statistics.Results:The mean score of nurses'clinical competence was equal to 76.14±1.59 out of 100,which was at a"very good level".The mean score of using clinical competence in practice was equal to 70.38±15.25 out of 100,which was at a"good level".Among the subscales of clinical competence,the highest mean score was related to"managing situation".The mean score of"using clinical competence in practice"was related to the subscale of"therapeutic interventions".There was no statistically significant difference among the score of clinical competence of nurses varying with different gender,age,academic degree,and work experience.Conclusions:The clinical competence of critical care nurses in Kermanshah was at a"very good"level,and the use of clinical competence in practice was at a"good level."Given the importance of clinical competencies in practice,nurses'clinical competence should be evaluated objectively and positive measures should be taken to promote the application of their clinical competence.

Labor Market Dynamics and Structural Change： Evidence from China

Structural change theories usually assume agents are homogeneous. However, because of demand-side or supply-side heterogeneities, the probability of switching among sectors differs across people. This paper reveals these differences through restoring a long-period, individual-level panel dataset from China＇s Urban Household Survey for 1986-2009. We find that both for people who started working for the first time and those who switched jobs, the sector choice depends on personal characteristics. In particular, women and people with higher educational attainment or a previous white- collar job are more likely to join the tertiary sector and less likely to join the primary sector. These effects are substantial even if the macroeconomic variables used in conventional structural change theories are controlled. They are also robust in various periods and at more detailed industry levels. Our research suggests that it is important to pay greater attention to the labor composition when mal^ng policy related to economic structural change.