【摘要】：目的 進(jìn)行大學(xué)生人格偏常流行病學(xué)調(diào)查,分析大學(xué)生人格偏常發(fā)生率的差異性和相關(guān)因素。從人格特質(zhì)視角對(duì)大學(xué)生格偏常進(jìn)行研究,結(jié)合自評(píng)與他評(píng)手段,探討大學(xué)生人格偏常的人口學(xué)特征,正常人格與偏常的人格特質(zhì)差異性,以及大學(xué)生群體人格特質(zhì)與人格偏常的相關(guān)性。 方法 根據(jù)方便抽樣方式,抽取1244名在讀本科生作為被試,其中男生320人(26.8%),女生874人(73.2%)。被試年齡18—24歲(20.53±1.501),年級(jí)2009-2012屆。收回有效問(wèn)卷1204份,有效率96.78%。利用一般情況調(diào)查表收集人口學(xué)資料,人格障礙診斷量表(PDQ-4)進(jìn)行大學(xué)生人格偏常流行病學(xué)調(diào)查,中國(guó)大五人格簡(jiǎn)版問(wèn)卷(CBF-PI-B)作為人格特質(zhì)自評(píng)工具,并根據(jù)美國(guó)精神障礙診斷與統(tǒng)計(jì)手冊(cè)第五版(DSM-5)的人格特質(zhì)評(píng)估工具編制他評(píng)問(wèn)卷作為人格特質(zhì)他評(píng)工具。用EpiDate3.02雙人輸入數(shù)據(jù),核對(duì)后導(dǎo)入SPSS17.0進(jìn)行統(tǒng)計(jì)分析。 結(jié)果 1、人格偏常檢出率最高的是強(qiáng)迫型人格障礙(44.7%,0.45±0.50),其次是回避型人格障礙(30.0%,0.30±0.46),檢出率最低的是反社會(huì)人格障礙(7.0%,0.07±0.25),40.6%的合并型人格偏常。 2、男性人格偏常各亞型的發(fā)生率均高于女性的,其中八種亞型有顯著性差異(p0.01)。 3、偏執(zhí)型、分裂型、自戀型和回避型四種偏常亞型檢出率在年級(jí)分類中有顯著性差異(p0.05),其中大三年級(jí)的檢出率最高。 4、偏常人格亞型在家庭結(jié)構(gòu)和獨(dú)生子女分類中沒(méi)有顯著性差異。 5、偏常人格與正常人格的學(xué)生在大五人格特質(zhì)的神經(jīng)質(zhì)、盡責(zé)性、宜人性和外傾性維度上有顯著性差異(p0.01)。 結(jié)論 人格偏常在大學(xué)生群體中存在一定發(fā)生率,其中檢出率最高的是強(qiáng)迫型,最低的是反社會(huì)型,且存在一定比例的合并偏常亞型。多個(gè)偏常亞型的性別和年級(jí)差異顯著。正常人格和偏常人格的大五特質(zhì)有差異。大五人格特質(zhì)與人格偏常有一定相關(guān)性�？傊�,大學(xué)生人格偏常有群體特征,人格特質(zhì)可以對(duì)人格偏常的診斷進(jìn)行描述和補(bǔ)充,人格特質(zhì)與人格偏常的結(jié)合是未來(lái)研究方向。
[Abstract]:Objective to investigate the prevalence of personality disorder in college students and analyze the related factors. From the perspective of personality trait, this paper studies the personality characteristics of college students, and discusses the demographic characteristics, the differences between normal personality and normal personality, combined with self-evaluation and other evaluation methods. And the correlation between personality traits and personality bias of college students. Methods according to the convenient sampling method, 1244 undergraduates were selected as subjects, including 320 males (26.8%) and 874 females (73.2%). The subjects were 18 to 24 years old (20.53 鹵1.501). 1204 valid questionnaires were collected and the effective rate was 96.78. Demographic data were collected by general situation questionnaire, personality disorder diagnosis scale (PDQ-4) was used to carry out epidemiological investigation of personality preference of college students, and Chinese Big five Personality inventory (CBF-PI-B) was used as a self-assessment tool of personality trait. According to the fifth edition (DSM-5) of the American Diagnostic and Statistical Manual for Mental Disorder (DSM-5), he questionnaire was compiled as a personality trait assessment tool. Use EpiDate3.02 double input data, check into SPSS17.0 for statistical analysis. Results 1. The highest prevalence of personality abnormality was obsessive personality disorder (44.70.45 鹵0.50), followed by avoidance personality disorder (30.030 鹵0.46). The lowest detection rate was antisocial personality disorder (7.00.7 鹵0.25). The incidence of each subtype was higher than that of female. There were significant differences among the eight subtypes (p0.01). There were significant differences among the four subtypes of narcissism and avoidance (p0.05), among which the detectable rate in junior grade was the highest, and the subtype of partial normal personality was not significant in family structure and only child classification. Sex difference. 5. The neuroticism of personality traits of students with normal personality and normal personality. There were significant differences in due diligence, amenity and extroversion (p 0.01). Conclusion there is a certain incidence of personality bias in college students, among which the highest detection rate is compulsive type, the lowest is anti-social type, and there is a certain proportion of combined subtypes. There were significant differences in sex and grade among different subtypes. The big five traits of normal personality and partial normal personality are different. Big five personality traits and personality often have certain correlation. In short, college students tend to have group characteristics, personality traits can be used to describe and supplement the diagnosis of personality bias, the combination of personality traits and personality bias is the future research direction.
【學(xué)位授予單位】：南京醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：B848

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