Kelsie T. Forbush, Yiyang Chen, Po-Yi Chen, Brittany K. Bohrer, Kelsey E. Hagan, Danielle A. N. Chapa, Kara A. Christensen Pacella, Victoria Perko, Brianne N. Richson, Sarah N. Johnson Munguia, Marianna L. Thomeczek, Sarah V. Nelson, Kylie Christian, Trevor J. Swanson, Jennifer E. Wildes
{"title":"整合“块状”与“分裂”的观点:从临床医生的评级走向饮食失调的层次维度分类","authors":"Kelsie T. Forbush, Yiyang Chen, Po-Yi Chen, Brittany K. Bohrer, Kelsey E. Hagan, Danielle A. N. Chapa, Kara A. Christensen Pacella, Victoria Perko, Brianne N. Richson, Sarah N. Johnson Munguia, Marianna L. Thomeczek, Sarah V. Nelson, Kylie Christian, Trevor J. Swanson, Jennifer E. Wildes","doi":"10.1177/21677026231186803","DOIUrl":null,"url":null,"abstract":"In this study, we describe a hierarchical dimensional model of eating-disorder (ED) classification based on the Hierarchical Taxonomy of Psychopathology. Participants were community-recruited adults with an ED ( N = 252; 81.9% female). We used a modified version of Goldberg’s method, which involved sequentially extracting latent factors using exploratory structural equation modeling, resulting in a 10-factor hierarchical-dimensional model. Dimensions predicted 92.4% and 58.7% of the variance in recovery outcomes at 6 months and 1 year, respectively. Compared with other illness indicators (e.g., Diagnostic and Statistical Manual of Mental Disorders [ DSM] diagnoses, dimensional ED impairment scores, weight/shape overvaluation, and DSM ED-severity specifiers), hierarchical dimensions predicted 0.88 to 334 times more variance in ED behaviors at baseline and 1.95 to 80.8 times more variance in psychiatric impairment at 1-year follow-up. Results suggest that reducing within-disorder heterogeneity for EDs within the broader context of internalizing symptoms provides a powerful framework from which to predict outcomes and understand symptoms experienced by people with EDs.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"42 1","pages":"0"},"PeriodicalIF":4.8000,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating “Lumpers” Versus “Splitters” Perspectives: Toward a Hierarchical Dimensional Taxonomy of Eating Disorders From Clinician Ratings\",\"authors\":\"Kelsie T. Forbush, Yiyang Chen, Po-Yi Chen, Brittany K. Bohrer, Kelsey E. Hagan, Danielle A. N. Chapa, Kara A. Christensen Pacella, Victoria Perko, Brianne N. Richson, Sarah N. Johnson Munguia, Marianna L. Thomeczek, Sarah V. Nelson, Kylie Christian, Trevor J. Swanson, Jennifer E. Wildes\",\"doi\":\"10.1177/21677026231186803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we describe a hierarchical dimensional model of eating-disorder (ED) classification based on the Hierarchical Taxonomy of Psychopathology. Participants were community-recruited adults with an ED ( N = 252; 81.9% female). We used a modified version of Goldberg’s method, which involved sequentially extracting latent factors using exploratory structural equation modeling, resulting in a 10-factor hierarchical-dimensional model. Dimensions predicted 92.4% and 58.7% of the variance in recovery outcomes at 6 months and 1 year, respectively. Compared with other illness indicators (e.g., Diagnostic and Statistical Manual of Mental Disorders [ DSM] diagnoses, dimensional ED impairment scores, weight/shape overvaluation, and DSM ED-severity specifiers), hierarchical dimensions predicted 0.88 to 334 times more variance in ED behaviors at baseline and 1.95 to 80.8 times more variance in psychiatric impairment at 1-year follow-up. Results suggest that reducing within-disorder heterogeneity for EDs within the broader context of internalizing symptoms provides a powerful framework from which to predict outcomes and understand symptoms experienced by people with EDs.\",\"PeriodicalId\":54234,\"journal\":{\"name\":\"Clinical Psychological Science\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2023-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Psychological Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/21677026231186803\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Psychological Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/21677026231186803","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Integrating “Lumpers” Versus “Splitters” Perspectives: Toward a Hierarchical Dimensional Taxonomy of Eating Disorders From Clinician Ratings
In this study, we describe a hierarchical dimensional model of eating-disorder (ED) classification based on the Hierarchical Taxonomy of Psychopathology. Participants were community-recruited adults with an ED ( N = 252; 81.9% female). We used a modified version of Goldberg’s method, which involved sequentially extracting latent factors using exploratory structural equation modeling, resulting in a 10-factor hierarchical-dimensional model. Dimensions predicted 92.4% and 58.7% of the variance in recovery outcomes at 6 months and 1 year, respectively. Compared with other illness indicators (e.g., Diagnostic and Statistical Manual of Mental Disorders [ DSM] diagnoses, dimensional ED impairment scores, weight/shape overvaluation, and DSM ED-severity specifiers), hierarchical dimensions predicted 0.88 to 334 times more variance in ED behaviors at baseline and 1.95 to 80.8 times more variance in psychiatric impairment at 1-year follow-up. Results suggest that reducing within-disorder heterogeneity for EDs within the broader context of internalizing symptoms provides a powerful framework from which to predict outcomes and understand symptoms experienced by people with EDs.
期刊介绍:
The Association for Psychological Science’s journal, Clinical Psychological Science, emerges from this confluence to provide readers with the best, most innovative research in clinical psychological science, giving researchers of all stripes a home for their work and a place in which to communicate with a broad audience of both clinical and other scientists.