{"title":"有和没有特殊学习障碍的成人人格特征的网络分析。","authors":"Mohamad Ahmad Saleem Khasawneh","doi":"10.1007/s11126-025-10146-6","DOIUrl":null,"url":null,"abstract":"<p><p>The primary aim of this study was to examine the personality profile of adults with Specific Learning Disorders (SLDs) using the Personality Inventory for DSM-5 (PID-5) to assess maladaptive traits and explore the underlying network structure of these traits in comparison to healthy individuals. The sample included 181 adults with SLDs (mean age = 27.37 ± 6.82; 39.21% female) and 227 healthy adults (mean age = 30.08 ± 7.49; 35.36% female). All participants completed the PID-5 and a socio-demographic checklist. Group differences in PID-5 scores were analyzed using independent-sample t-tests. Network analysis, including the Network Comparison Test (NCT) and centrality assessments, was conducted to examine overall network organization and identify key traits within the maladaptive trait networks. The results showed that adults with SLDs had significantly higher scores in detachment (43.99 ± 22.70 vs. 32.27 ± 17.53, p < 0.05) and negative affectivity (111.97 ± 35.06 vs. 87.26 ± 40.58, p < 0.05) compared to healthy controls. Their personality trait network was more densely connected, with a global strength of 44.95, compared to 36.22 in the control group (p < 0.01). Key traits in the SLD network included suspiciousness (betweenness = 2.116, closeness = 2.286, strength = 1.266), anhedonia (betweenness = 2.240), and eccentricity (strength = 2.146, betweenness = 1.498), indicating stronger interactions among maladaptive traits. A particularly strong connection (edge weight = 0.4059) was observed between withdrawal and anhedonia. In contrast, the control group's network was more balanced, with the most dominant node (N5) exhibiting a strength of 2.1859 and betweenness of 3.5000. These findings highlight distinct personality patterns in individuals with SLDs, underscoring the need for tailored clinical interventions.</p>","PeriodicalId":20658,"journal":{"name":"Psychiatric Quarterly","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Network Analysis of Personality Traits in Adults with and Without Specific Learning Disorders.\",\"authors\":\"Mohamad Ahmad Saleem Khasawneh\",\"doi\":\"10.1007/s11126-025-10146-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The primary aim of this study was to examine the personality profile of adults with Specific Learning Disorders (SLDs) using the Personality Inventory for DSM-5 (PID-5) to assess maladaptive traits and explore the underlying network structure of these traits in comparison to healthy individuals. The sample included 181 adults with SLDs (mean age = 27.37 ± 6.82; 39.21% female) and 227 healthy adults (mean age = 30.08 ± 7.49; 35.36% female). All participants completed the PID-5 and a socio-demographic checklist. Group differences in PID-5 scores were analyzed using independent-sample t-tests. Network analysis, including the Network Comparison Test (NCT) and centrality assessments, was conducted to examine overall network organization and identify key traits within the maladaptive trait networks. The results showed that adults with SLDs had significantly higher scores in detachment (43.99 ± 22.70 vs. 32.27 ± 17.53, p < 0.05) and negative affectivity (111.97 ± 35.06 vs. 87.26 ± 40.58, p < 0.05) compared to healthy controls. Their personality trait network was more densely connected, with a global strength of 44.95, compared to 36.22 in the control group (p < 0.01). Key traits in the SLD network included suspiciousness (betweenness = 2.116, closeness = 2.286, strength = 1.266), anhedonia (betweenness = 2.240), and eccentricity (strength = 2.146, betweenness = 1.498), indicating stronger interactions among maladaptive traits. A particularly strong connection (edge weight = 0.4059) was observed between withdrawal and anhedonia. In contrast, the control group's network was more balanced, with the most dominant node (N5) exhibiting a strength of 2.1859 and betweenness of 3.5000. These findings highlight distinct personality patterns in individuals with SLDs, underscoring the need for tailored clinical interventions.</p>\",\"PeriodicalId\":20658,\"journal\":{\"name\":\"Psychiatric Quarterly\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychiatric Quarterly\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11126-025-10146-6\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatric Quarterly","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11126-025-10146-6","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
A Network Analysis of Personality Traits in Adults with and Without Specific Learning Disorders.
The primary aim of this study was to examine the personality profile of adults with Specific Learning Disorders (SLDs) using the Personality Inventory for DSM-5 (PID-5) to assess maladaptive traits and explore the underlying network structure of these traits in comparison to healthy individuals. The sample included 181 adults with SLDs (mean age = 27.37 ± 6.82; 39.21% female) and 227 healthy adults (mean age = 30.08 ± 7.49; 35.36% female). All participants completed the PID-5 and a socio-demographic checklist. Group differences in PID-5 scores were analyzed using independent-sample t-tests. Network analysis, including the Network Comparison Test (NCT) and centrality assessments, was conducted to examine overall network organization and identify key traits within the maladaptive trait networks. The results showed that adults with SLDs had significantly higher scores in detachment (43.99 ± 22.70 vs. 32.27 ± 17.53, p < 0.05) and negative affectivity (111.97 ± 35.06 vs. 87.26 ± 40.58, p < 0.05) compared to healthy controls. Their personality trait network was more densely connected, with a global strength of 44.95, compared to 36.22 in the control group (p < 0.01). Key traits in the SLD network included suspiciousness (betweenness = 2.116, closeness = 2.286, strength = 1.266), anhedonia (betweenness = 2.240), and eccentricity (strength = 2.146, betweenness = 1.498), indicating stronger interactions among maladaptive traits. A particularly strong connection (edge weight = 0.4059) was observed between withdrawal and anhedonia. In contrast, the control group's network was more balanced, with the most dominant node (N5) exhibiting a strength of 2.1859 and betweenness of 3.5000. These findings highlight distinct personality patterns in individuals with SLDs, underscoring the need for tailored clinical interventions.
期刊介绍:
Psychiatric Quarterly publishes original research, theoretical papers, and review articles on the assessment, treatment, and rehabilitation of persons with psychiatric disabilities, with emphasis on care provided in public, community, and private institutional settings such as hospitals, schools, and correctional facilities. Qualitative and quantitative studies concerning the social, clinical, administrative, legal, political, and ethical aspects of mental health care fall within the scope of the journal. Content areas include, but are not limited to, evidence-based practice in prevention, diagnosis, and management of psychiatric disorders; interface of psychiatry with primary and specialty medicine; disparities of access and outcomes in health care service delivery; and socio-cultural and cross-cultural aspects of mental health and wellness, including mental health literacy. 5 Year Impact Factor: 1.023 (2007)
Section ''Psychiatry'': Rank 70 out of 82