کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6811398 1433781 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Cluster analysis reveals subclinical subgroups with shared autistic and schizotypal traits
ترجمه فارسی عنوان
تجزیه و تحلیل خوشه ای، زیر گروه های زیر کلاسی را با ویژگی های مشترک اوتیستیک و اسکیزوتایپیک نشان می دهد
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی روانپزشکی بیولوژیکی
چکیده انگلیسی
Autism and schizophrenia spectrum research is typically based on coarse diagnostic classification, which overlooks individual variation within clinical groups. This method limits the identification of underlying cognitive, genetic and neural correlates of specific symptom dimensions. This study, therefore, aimed to identify homogenous subclinical subgroups of specific autistic and schizotypal traits dimensions, that may be utilised to establish more effective diagnostic and treatment practices. Latent profile analysis of subscale scores derived from an autism-schizotypy questionnaire, completed by 1678 subclinical adults aged 18-40 years (1250 females), identified a local optimum of eight population clusters: High, Moderate and Low Psychosocial Difficulties; High, Moderate and Low Autism-Schizotypy; High Psychosis-Proneness; and Moderate Schizotypy. These subgroups represent the convergent and discriminant dimensions of autism and schizotypy in the subclinical population, and highlight the importance of examining subgroups of specific symptom characteristics across these spectra in order to identify the underlying genetic and neural correlates that can be utilised to advance diagnostic and treatment practices.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Psychiatry Research - Volume 265, July 2018, Pages 111-117
نویسندگان
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