{"title":"Heterogeneity of Alexithymia Subgroups","authors":"Chunna Hou, Haoling Shi, Yisheng Ma, Jun Chou","doi":"10.1027/1015-5759/a000828","DOIUrl":null,"url":null,"abstract":"Abstract: Alexithymia is a subclinical experience in which individuals struggle to identify, distinguish, and describe their own emotions. It is most commonly measured with the self-reported Toronto Alexithymia Scale-20 (TAS-20). However, scholars hold different views on its structure, resulting in challenges in classifying individuals with alexithymia, which is detrimental to clinical diagnosis, counseling, and intervention. The present study aimed to investigate the types (or subgroups) of alexithymia within a sample of college students ( n = 707) from four Chinese universities. Two latent classes of three-factor two-class model solution were effectively identified by the Factor Mixture Model (FMM) approach: a “High-EOT alexithymia” class (18.2%) and a “Non-alexithymia” class (81.8%). The two subgroups exhibited similar performance in difficulty in identifying feelings (DIF) and difficulty in describing feelings (DDF), but they differed significantly in externally oriented thinking (EOT). This suggests that EOT might be a diagnostic criterion for alexithymia.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":"53 9","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000828","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: Alexithymia is a subclinical experience in which individuals struggle to identify, distinguish, and describe their own emotions. It is most commonly measured with the self-reported Toronto Alexithymia Scale-20 (TAS-20). However, scholars hold different views on its structure, resulting in challenges in classifying individuals with alexithymia, which is detrimental to clinical diagnosis, counseling, and intervention. The present study aimed to investigate the types (or subgroups) of alexithymia within a sample of college students ( n = 707) from four Chinese universities. Two latent classes of three-factor two-class model solution were effectively identified by the Factor Mixture Model (FMM) approach: a “High-EOT alexithymia” class (18.2%) and a “Non-alexithymia” class (81.8%). The two subgroups exhibited similar performance in difficulty in identifying feelings (DIF) and difficulty in describing feelings (DDF), but they differed significantly in externally oriented thinking (EOT). This suggests that EOT might be a diagnostic criterion for alexithymia.
期刊介绍：
ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric.
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