371名大学生微信朋友圈人格、自我呈现策略与情绪表达的关系

目的 探究大学生微信朋友圈人格、自我呈现策略和情绪表达间的关系。方法 采用社交网络自我呈现策略问卷、艾森克人格问卷简式量表、伯克利情绪表达问卷,对随机抽取的371名大学生进行调查。结果 ⑴外倾型人格总分与真实自我呈现策略总分呈正相关(r=0.170,P=0.001),与正性情绪表达呈正相关(r=0.166,P=0.001),与情绪表达强度呈正相关(r=0.184,P=0.001),真实自我呈现策略与正性情绪表达呈正相关(r=0.239,P=0.001)。⑵真实自我呈现策略在外倾型人格与正性情绪表达的关系中存在部分中介效应。结论 371名大学生的外倾型人格、真实自我呈现策略与正性情绪表达关系密切,真实自我呈现策略在外倾型人格与正性情绪表达的关系中存在部分中介效应。     

不同年龄段勃起功能障碍患者的心理状况与人格特征分析

目的探讨不同年龄段勃起功能障碍(ED)患者心理状况的差异。方法回顾性分析郑州大学第三附属医院2018年7月至2019年7月收治的401例ED患者的临床资料。年龄20~60岁。将所有患者按年龄段分为4组:A组158例,年龄20~29岁;B组182例,年龄30~39岁;C组38例,年龄40~49岁;D组23例,年龄50~60岁。基于国际勃起功能评分表(IIEF-5)评估患者的勃起功能情况。采用症状自评量表(SCL-90)评估患者的敌对、焦虑、精神病性、恐怖、偏执、强迫、躯体化、人际关系、抑郁等9项心理状况。采用状态-特质焦虑量表(STAI)区分患者是否存在状态性或特质性的焦虑情绪。采用艾森克人格问卷(EPQ)分析患者的人格类型。分析患者组与文献报道的全国常模组SCL-90、STAI和EPQ量表的差异。分析不同年龄组患者各项指标的差异。结果患者组SCL-90量表的敌对(1.64±0.67,t=4.81,P<0.001)、焦虑(1.58±0.66,t=6.83,P<0.001)、精神病性(1.62±0.68,t=11.87,P<0.001)、偏执(1.55±0.66,t=3.58,P<0.001)、强迫(1.95±0.70,t=9.56,P<0.001)、躯体化(1.43±0.58,t=2.10,P=0.036)、人际关系/敏感(1.74±0.74,t=2.79,P=0.005)、抑郁(1.66±0.74,t=4.50,P<0.001)等因子分,以及总分(1.53±0.63,t=3.07,P=0.002)均显著高于全国常模组。A、B、C、D组的人际关系/敏感得分差异有统计学意义(1.72±0.78、1.65±0.69、1.58±0.92、1.43±0.59,F=2.84,P=0.038)。患者组STAI量表的状态焦虑(t=7.35,P<0.001)、特质焦虑(t=6.31,P<0.001)等因子分和总分(t=8.41,P<0.001)均显著高于全国常模组,不同年龄组的状态焦虑(F=5.29,P=0.001)、特质焦虑(F=5.54,P<0.001)因子分和总分(F=5.66,P<0.001)差异有统计学意义。患者组的精神质(t=30.56,P<0.001)、情绪(t=45.94,P<0.001)、外倾-内倾(t=11.72,P<0.001)、掩饰性(t=29.16,P<0.001)等因子分和总分(t=30.56,P<0.001)均显著高于全国常模组。401例的人格类型分别为抑郁质183例(45.64%),胆汁质94例(23.44%),黏液质66例(16.46%),多血质58例(14.46%)。不同年龄组的抑郁质、胆汁质、黏液质、多血质人格类型分布分别为A组76、35、26、21例,B组87、40、32、23例,C组14、10、6、8例,D组6、9、2、6例,组间比较差异无统计学意义(χ^2=10.65,P=0.30)。结论ED患者存在一系列异常的情绪、躯体化的不适感,敏感的人际关系以及内向、情绪不稳定的人格特征;年龄越小的患者其焦虑情绪越严重,人际关系越敏感,可能与其内向的个性特征及情绪的不稳定性相关。     

Personality Changes With Dementia From the Informant Perspective: New Data and Meta-Analysis

Objective

To examine changes in personality in individuals with mild cognitive impairment (MCI) or dementia as observed by family members using both new data and a meta-analysis with the published literature.

Personality traits affect the influences of intensity perception and emotional responses on hedonic rating and preference rank toward basic taste solutions

This study aimed at determining, based on independent predictors of taste intensity and emotional response, whether individual personality traits could affect prediction models of overall liking and preference rank toward basic taste solutions. Sixty-seven participants rated taste intensities (TI) of four basic-taste solutions at both low and high concentrations, and of plain water. Emotional responses toward each sample were measured using a self-reported emotion questionnaire (SE), facial expressions (FE), and/or autonomic nervous system responses (ANS). Participants rated overall liking of the samples and ranked their preferences. Based on the results of a hierarchical cluster analysis of five personality traits measured using the Big Five Inventory, participants were classified into two clusters: cluster N (high neuroticism) and cluster E (high extraversion). Results showed that the SE measure for both clusters N and E was better than the TI, FE, and ANS measures in explaining variances of overall liking or preference rank. A measurement of effect size found that using FE and/or taste intensity measures, along with self-reported emotion measure, could enhance model predictability of overall liking or preference rank toward taste samples for cluster N, while the contribution to the prediction model for cluster E was minimal. ANS measures showed little contribution to the prediction model of overall liking for either cluster. In conclusion, this study shows that personality traits, in particular traits of extraversion and neuroticism, affect not only optimum measures of emotional responses, but also modulate predicting overall liking and preference rank toward basic taste solutions.     

The Relationship between Type D Personality and Heart Rate Variability in Community Mental Health Center Users

ObjectiveType D personality can be regarded as a promising cardiovascular risk marker that has been repeatedly linked to relevant indicators of mental health, quality of life, morbidity, and mortality in cardiac patients. Heart rate variability (HRV) is a non-invasive technology that can provide information regarding a patient''s sympathetic/parasympathetic balance and the control mechanisms of the autonomic systems in the cardiovascular system. As both type D personality and HRV are parameters related to the cardiovascular system, we assumed a relationship between type D personality and HRV. This study set out to identify the relationship between type D and HRV and the differences in HRV variables between type D and non-type D personalities.MethodsPatients who visited Guro Community Mental Health Center from January 2011 to December 2012 were surveyed. They were evaluated using both the Korean version of the Type D Personality-14 for type D personality and HRV. During the survey, those who reported major cardiovascular disease that can affect heart rate variability were excluded from the study.ResultsOur analysis included 559 participants, 249 of whom were classified as type D personality. No significant differences were found in the HRV variables between the type D group and the non-type D group. There were also no clinically meaningful correlations between HRV variables and type D total/subscale scores when controlled for patient age.ConclusionA relationship between HRV and type D personality was not identified using short-term HRV measurements in non-clinical patients with no definitive cardiovascular disease. Further studies using long-term HRV measurements in patients with cardiovascular disease are necessary to conclude an association between HRV and type D personality.