Bo-Jian Wu1, Tsuo-Hung Lan2, Tsung-Ming Hu3, Shin-Min Lee4, Jiunn-Ying Liou5. 1. Department of Psychiatry, Yuli Hospital, Ministry of Health and Welfare, Hualien, Taiwan; Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan. 2. Department of Psychiatry, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan; Center for Neuropsychiatric Research, NHRI, Miaoli, Taiwan. 3. Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien, Taiwan. 4. Department of Psychiatry, Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan, Taiwan; Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. 5. Department of Psychiatry, Yuli Hospital, Ministry of Health and Welfare, Hualien, Taiwan. Electronic address: sabrina43262000@gmail.com.
Abstract
OBJECTIVES: The Positive and Negative Syndrome Scale (PANSS) is one of the most widely used instruments for measuring the severity of schizophrenia. However, until now, there has not been a published, validated Chinese Mandarin version of the five-factor model PANSS with confirmatory factor analysis (CFA) for schizophrenic patients in Taiwan. METHODS: A total of 813 subjects were recruited. Internal consistency was evaluated with Cronbach's alpha coefficient. For test re-test reliability, 57 patients were reassessed and intra-class correlation coefficients were calculated. For validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using a Structured Equation Model were implemented to identify the factor model. RESULTS: The Cronbach's alpha coefficient was 0.928. The intra-class coefficient was 0.878 (95% CI: 0.79-0.92). The final model was composed of five factors. EFA explained a total of 64.2% of the variance. CFA indicated a good fitting model. Except for the PANSS items G7 (motor retardation), G8 (uncooperativeness), N5 (abstract thinking), and G10 (disorientation), this study found that the items loaded on these factors were similar to the consensus items published in prior studies. CONCLUSIONS: In summary, these findings support the Chinese Mandarin version of the PANSS as a reliable and valid instrument for the assessment of the severity of psychopathology in hospitalized, stable patients with schizophrenia. More effective and specific treatment models targeting sub-culture differences are expected to be developed in future studies.
OBJECTIVES: The Positive and Negative Syndrome Scale (PANSS) is one of the most widely used instruments for measuring the severity of schizophrenia. However, until now, there has not been a published, validated Chinese Mandarin version of the five-factor model PANSS with confirmatory factor analysis (CFA) for schizophrenicpatients in Taiwan. METHODS: A total of 813 subjects were recruited. Internal consistency was evaluated with Cronbach's alpha coefficient. For test re-test reliability, 57 patients were reassessed and intra-class correlation coefficients were calculated. For validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using a Structured Equation Model were implemented to identify the factor model. RESULTS: The Cronbach's alpha coefficient was 0.928. The intra-class coefficient was 0.878 (95% CI: 0.79-0.92). The final model was composed of five factors. EFA explained a total of 64.2% of the variance. CFA indicated a good fitting model. Except for the PANSS items G7 (motor retardation), G8 (uncooperativeness), N5 (abstract thinking), and G10 (disorientation), this study found that the items loaded on these factors were similar to the consensus items published in prior studies. CONCLUSIONS: In summary, these findings support the Chinese Mandarin version of the PANSS as a reliable and valid instrument for the assessment of the severity of psychopathology in hospitalized, stable patients with schizophrenia. More effective and specific treatment models targeting sub-culture differences are expected to be developed in future studies.
Authors: S Galderisi; A Mucci; S Dollfus; M Nordentoft; P Falkai; S Kaiser; G M Giordano; A Vandevelde; M Ø Nielsen; L B Glenthøj; M Sabé; P Pezzella; I Bitter; W Gaebel Journal: Eur Psychiatry Date: 2021-02-18 Impact factor: 5.361
Authors: Konstantinos N Fountoulakis; Elena Dragioti; Antonis T Theofilidis; Tobias Wikilund; Xenofon Atmatzidis; Ioannis Nimatoudis; Erik Thys; Martien Wampers; Luchezar Hranov; Trayana Hristova; Daniil Aptalidis; Roumen Milev; Felicia Iftene; Filip Spaniel; Pavel Knytl; Petra Furstova; Tiina From; Henry Karlsson; Maija Walta; Raimo K R Salokangas; Jean-Michel Azorin; Justine Bouniard; Julie Montant; Georg Juckel; Ida S Haussleiter; Athanasios Douzenis; Ioannis Michopoulos; Panagiotis Ferentinos; Nikolaos Smyrnis; Leonidas Mantonakis; Zsófia Nemes; Xenia Gonda; Dora Vajda; Anita Juhasz; Amresh Shrivastava; John Waddington; Maurizio Pompili; Anna Comparelli; Valentina Corigliano; Elmars Rancans; Alvydas Navickas; Jan Hilbig; Laurynas Bukelskis; Lidija Injac Stevovic; Sanja Vodopic; Oluyomi Esan; Oluremi Oladele; Christopher Osunbote; Janusz Κ Rybakowski; Pawel Wojciak; Klaudia Domowicz; Maria Luisa Figueira; Ludgero Linhares; Joana Crawford; Anca-Livia Panfil; Daria Smirnova; Olga Izmailova; Dusica Lecic-Tosevski; Henk Temmingh; Fleur Howells; Julio Bobes; Maria Paz Garcia-Portilla; Leticia García-Alvarez; Gamze Erzin; Hasan Karadağ; Avinash De Sousa; Anuja Bendre; Cyril Hoschl; Cristina Bredicean; Ion Papava; Olivera Vukovic; Bojana Pejuskovic; Vincent Russell; Loukas Athanasiadis; Anastasia Konsta; Dan Stein; Michael Berk; Olivia Dean; Rajiv Tandon; Siegfried Kasper; Marc De Hert Journal: Int J Neuropsychopharmacol Date: 2019-11-01 Impact factor: 5.176