Seon-Cheol Park, Eun-Young Jang, Gyung-Mee Kim, A. Avasthi, S. Grover, A. J. Tanra, Takahiro A. Kato, K. Chee, M. Chong, A. Javed, Chay-Hoon Tan, N. Sartorius, N. Shinfuku, Y. Park
{"title":"精神分裂症患者简易精神病学评定量表-兴奋成分(BPRS-EC)攻击行为分值的建立","authors":"Seon-Cheol Park, Eun-Young Jang, Gyung-Mee Kim, A. Avasthi, S. Grover, A. J. Tanra, Takahiro A. Kato, K. Chee, M. Chong, A. Javed, Chay-Hoon Tan, N. Sartorius, N. Shinfuku, Y. Park","doi":"10.1080/24750573.2019.1626067","DOIUrl":null,"url":null,"abstract":"ABSTRACT OBJECTIVE: We aimed to present the scalability and cut-off score for the presence of aggression on the Brief Psychiatric Rating Scale-Excited Component (BPRS-EC) in schizophrenia patients. METHODS: From the Research on Asian Psychotropic Prescription Patterns for Antipsychotics, 1,438 Asian patients with schizophrenia were recruited in present study. The Mokken analysis was used to evaluate scalability of the BPRS-EC. The receiver operating characteristic (ROC) curve was used to establish the optimal cut-off score for the presence of aggression on the BPRS-6 in schizophrenia patients. RESULTS: The Mokken model presented that the scalability of the BPRS-EC was considered to have a strong “unidimensionality” (coefficient of scalability = 0.57). The ROC curve showed that, with the cut-off score of 5, the total score on the BPRS-EC distinguished the absence and presence of aggression in schizophrenia patients. CONCLUSION: The BPRS-EC can be used as a supplementary scale for evaluating aggression in patients with schizophrenia.","PeriodicalId":20847,"journal":{"name":"Psychiatry and Clinical Psychopharmacology","volume":"26 1","pages":"407 - 410"},"PeriodicalIF":0.5000,"publicationDate":"2019-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishing the cut-off score for aggression on the Brief Psychiatric Rating Scale-Excited Component (BPRS-EC) in schizophrenia patients\",\"authors\":\"Seon-Cheol Park, Eun-Young Jang, Gyung-Mee Kim, A. Avasthi, S. Grover, A. J. Tanra, Takahiro A. Kato, K. Chee, M. Chong, A. Javed, Chay-Hoon Tan, N. Sartorius, N. Shinfuku, Y. Park\",\"doi\":\"10.1080/24750573.2019.1626067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT OBJECTIVE: We aimed to present the scalability and cut-off score for the presence of aggression on the Brief Psychiatric Rating Scale-Excited Component (BPRS-EC) in schizophrenia patients. METHODS: From the Research on Asian Psychotropic Prescription Patterns for Antipsychotics, 1,438 Asian patients with schizophrenia were recruited in present study. The Mokken analysis was used to evaluate scalability of the BPRS-EC. The receiver operating characteristic (ROC) curve was used to establish the optimal cut-off score for the presence of aggression on the BPRS-6 in schizophrenia patients. RESULTS: The Mokken model presented that the scalability of the BPRS-EC was considered to have a strong “unidimensionality” (coefficient of scalability = 0.57). The ROC curve showed that, with the cut-off score of 5, the total score on the BPRS-EC distinguished the absence and presence of aggression in schizophrenia patients. CONCLUSION: The BPRS-EC can be used as a supplementary scale for evaluating aggression in patients with schizophrenia.\",\"PeriodicalId\":20847,\"journal\":{\"name\":\"Psychiatry and Clinical Psychopharmacology\",\"volume\":\"26 1\",\"pages\":\"407 - 410\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2019-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychiatry and Clinical Psychopharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/24750573.2019.1626067\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatry and Clinical Psychopharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/24750573.2019.1626067","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Establishing the cut-off score for aggression on the Brief Psychiatric Rating Scale-Excited Component (BPRS-EC) in schizophrenia patients
ABSTRACT OBJECTIVE: We aimed to present the scalability and cut-off score for the presence of aggression on the Brief Psychiatric Rating Scale-Excited Component (BPRS-EC) in schizophrenia patients. METHODS: From the Research on Asian Psychotropic Prescription Patterns for Antipsychotics, 1,438 Asian patients with schizophrenia were recruited in present study. The Mokken analysis was used to evaluate scalability of the BPRS-EC. The receiver operating characteristic (ROC) curve was used to establish the optimal cut-off score for the presence of aggression on the BPRS-6 in schizophrenia patients. RESULTS: The Mokken model presented that the scalability of the BPRS-EC was considered to have a strong “unidimensionality” (coefficient of scalability = 0.57). The ROC curve showed that, with the cut-off score of 5, the total score on the BPRS-EC distinguished the absence and presence of aggression in schizophrenia patients. CONCLUSION: The BPRS-EC can be used as a supplementary scale for evaluating aggression in patients with schizophrenia.
期刊介绍:
Psychiatry and Clinical Psychopharmacology aims to reach a national and international audience and will accept submissions from authors worldwide. It gives high priority to original studies of interest to clinicians and scientists in applied and basic neurosciences and related disciplines. Psychiatry and Clinical Psychopharmacology publishes high quality research targeted to specialists, residents and scientists in psychiatry, psychology, neurology, pharmacology, molecular biology, genetics, physiology, neurochemistry, and related sciences.