{"title":"缓解和恢复时间的预测因子","authors":"M. Zanarini","doi":"10.1093/med-psych/9780195370607.003.0012","DOIUrl":null,"url":null,"abstract":"This chapter reports on the bivariate and multivariate predictors of two of our most important outcomes—remission and recovery. In terms of time-to-remission, seven variables that span five areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, good premorbid vocational functioning, no history of childhood sexual abuse, no family history of substance abuse, and three aspects of temperament. In terms of time-to-recovery, five variables that span three areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, competence, and temperament. The clinical implications of these significant models and the significant bivariate predictors that did not end up in these models are discussed in detail.","PeriodicalId":275647,"journal":{"name":"In the Fullness of Time","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictors of Time-to-Remission and Recovery\",\"authors\":\"M. Zanarini\",\"doi\":\"10.1093/med-psych/9780195370607.003.0012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This chapter reports on the bivariate and multivariate predictors of two of our most important outcomes—remission and recovery. In terms of time-to-remission, seven variables that span five areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, good premorbid vocational functioning, no history of childhood sexual abuse, no family history of substance abuse, and three aspects of temperament. In terms of time-to-recovery, five variables that span three areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, competence, and temperament. The clinical implications of these significant models and the significant bivariate predictors that did not end up in these models are discussed in detail.\",\"PeriodicalId\":275647,\"journal\":{\"name\":\"In the Fullness of Time\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"In the Fullness of Time\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/med-psych/9780195370607.003.0012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"In the Fullness of Time","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/med-psych/9780195370607.003.0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This chapter reports on the bivariate and multivariate predictors of two of our most important outcomes—remission and recovery. In terms of time-to-remission, seven variables that span five areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, good premorbid vocational functioning, no history of childhood sexual abuse, no family history of substance abuse, and three aspects of temperament. In terms of time-to-recovery, five variables that span three areas of prediction were found to be significant in multivariate analyses. These areas were: lack of chronicity, competence, and temperament. The clinical implications of these significant models and the significant bivariate predictors that did not end up in these models are discussed in detail.