کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6821008 1434046 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Latent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome
ترجمه فارسی عنوان
تجزیه و تحلیل خوشه های کلاس بالاتری از امتیاز علائم، زیر گروه های متمایز را در معرض خطر بالای بالینی سندرم روان
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی
The clinical-high-risk for psychosis (CHR-P) syndrome is heterogeneous in terms of clinical presentation and outcomes. Identifying more homogenous subtypes of the syndrome may help clarify its etiology and improve the prediction of psychotic illness. This study applied latent class cluster analysis (LCCA) to symptom ratings from the North American Prodrome Longitudinal Studies 1 and 2 (NAPLS 1 and 2). These analyses produced evidence for three to five subgroups within the CHR-P syndrome. Differences in negative and disorganized symptoms distinguished among the subgroups. Subgroup membership was found to predict conversion to psychosis. The authors contrast the methods employed within this study with previous attempts to identify more homogenous subgroups of CHR-P individuals and discuss how these results could be tested in future samples of CHR-P individuals.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Schizophrenia Research - Volume 197, July 2018, Pages 522-530
نویسندگان
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