Kim Hyeonseong, Jeong Seohyun, Hwang Inae, Sung Kiyoung, Moon Woori, Shin Min-Sup
Psychiatry Department, Seoul National University Hospital, Seoul, Republic of Korea.
40FY Inc, Seoul, Republic of Korea.
Interact J Med Res. 2023 Sep 29;12:e48425. doi: 10.2196/48425.
Existing digital mental health interventions mainly focus on the symptoms of specific mental disorders, but do not focus on Maladaptive Personalities and Interpersonal Schemas (MPISs). As an initial step toward considering personalities and schemas in intervention programs, there is a need for the development of tools for measuring core personality traits and interpersonal schemas known to cause psychological discomfort among potential users of digital mental health interventions. Thus, the MPIS was developed.
The objectives of this study are to validate the MPIS by comparing 2 models of the MPIS factor structure and to understand the characteristics of the MPIS by assessing its correlations with other measures.
Data were collected from 234 participants who were using web-based community sites in South Korea, including university students, graduate students, working professionals, and homemakers. All the data were gathered through web-based surveys. Confirmatory factor analysis was used to compare a single-factor model with a 5-factor model. Reliability and correlation analyses with other scales were performed.
The results of confirmatory factor analysis indicated that the 5-factor model (χ=1278.1; Tucker-Lewis index=0.80; comparative fit index=0.81; and Root Mean Square Error of Approximation=0.07) was more suitable than the single-factor model (χ=2341.5; Tucker-Lewis index=0.52; comparative fit index=0.54; and Root Mean Square Error of Approximation=0.11) for measuring maladaptive personality traits and interpersonal relationship patterns. The internal consistency of each factor of the MPIS was good (Cronbach α=.71-.88), and the correlations with existing measures were statistically significant. The MPIS is a validated 35-item tool for measuring 5 essential personality traits and interpersonal schemas in adults aged 18-39 years.
This study introduced the MPIS, a concise and effective questionnaire capable of measuring maladaptive personality traits and interpersonal relationship schemas. Through analysis, the MPIS was shown to reliably assess these psychological constructs and validate them. Its web-based accessibility and reduced item count make it a valuable tool for mental health assessment. Future applications include its integration into digital mental health care services, allowing easy web-based administration and aiding in the classification of psychological therapy programs based on the obtained results.
ClinicalTrials.gov NCT05952063; https://www.clinicaltrials.gov/study/NCT05952063.
现有的数字心理健康干预主要关注特定精神障碍的症状,而非适应不良人格和人际关系图式(MPISs)。作为在干预项目中考虑人格和图式的第一步,需要开发用于测量已知会给数字心理健康干预潜在用户带来心理不适的核心人格特质和人际关系图式的工具。因此,开发了MPIS。
本研究的目的是通过比较MPIS因子结构的两种模型来验证MPIS,并通过评估其与其他测量方法的相关性来了解MPIS的特征。
数据收集自234名使用韩国网络社区网站的参与者,包括大学生、研究生、在职专业人员和家庭主妇。所有数据均通过网络调查收集。使用验证性因子分析来比较单因素模型和五因素模型。进行了与其他量表的信度和相关性分析。
验证性因子分析结果表明,五因素模型(χ=1278.1;塔克-刘易斯指数=0.80;比较拟合指数=0.81;近似均方根误差=0.07)比单因素模型(χ=2341.5;塔克-刘易斯指数=0.52;比较拟合指数=0.54;近似均方根误差=0.11)更适合测量适应不良人格特质和人际关系模式。MPIS各因子的内部一致性良好(克朗巴哈α系数=0.71-0.88),与现有测量方法的相关性具有统计学意义。MPIS是一种经过验证的35项工具,用于测量18-39岁成年人的5种基本人格特质和人际关系图式。
本研究介绍了MPIS,这是一种能够测量适应不良人格特质和人际关系图式的简洁有效的问卷。通过分析,MPIS被证明能够可靠地评估这些心理结构并对其进行验证。其基于网络的可及性和减少的项目数量使其成为心理健康评估的有价值工具。未来的应用包括将其整合到数字心理健康护理服务中,实现基于网络的便捷管理,并根据所得结果辅助心理治疗项目的分类。
ClinicalTrials.gov NCT05952063;https://www.clinicaltrials.gov/study/NCT05952063 。