PSYCH OpenIR  > 中国科学院心理健康重点实验室
Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second-generation clinical assessments (vol 248, pg 131, 2022)
Li, Shuai-biao1; Liu, Chao2; Zhang, Jian-biao2; Wang, Ling-ling3,4; Hu, Hui-xin3,4; Chu, Min-yi1; Wang, Yi3,4; Lv, Qin-yu1,5; Lui, Simon S. Y.6; Cheung, Eric F. C.7; Yi, Zheng-hui1,5,8,9; Chan, Raymond C. K.1,3,4,10
第一作者Li, Shuai-biao
通讯作者邮箱yizhenghui 1971@163.com (z.-h. yi), rchchan@psych.ac.cn (r.c.k. chan)
心理所单位排序3
摘要

Background: Negative symptoms are core symptom of schizophrenia, and many previous research studied the latent structure of negative symptoms based on a single measurement scale. Applying two second-generation negative symptom scales to the same sample can address measurement-invariance of latent structure.Methods: Three-hundred-and-five schizophrenia patients were assessed using the CAINS and the BNSS. Confirmatory Factor Analysis (CFA) tested four competing factor-models: (1) a 1-factor model; (2) a 2-factor model comprising the motivation and pleasure (MAP) domain and the diminished expression (EXP) domain; (3) a 5-factor model comprising anhedonia, avolition, asociality, blunted affect and alogia; (4) a hierarchical model comprising the "first-order" 5-domain factors and the "second-order" MAP & EXP factors.Results: The CFA results for the data of the CAINS showed that the 2-factor model had the best data fit over the other competing models. The CFA using the BNSS data in the same sample also supported the superiority of the 2factor model. Lastly, after combining the items of the BNSS and CAINS together in the same sample for CFA, the 2-factor model prevailed over the other competing models.Conclusions: The 2-factor model appears to be measurement-invariant latent structure of negative symptoms. The novel method of combining the items of the CAINS and BNSS might have circumvented the possible imperfect construct of a single scale. Our findings support the MAP and EXP factors as the latent structure for negative symptoms.

关键词Negative symptoms Diminished expression Motivation and pleasure
2023-02-01
语种英语
DOI10.1016/j.schres.2022.12.024
发表期刊SCHIZOPHRENIA RESEARCH
ISSN0920-9964
卷号252页码:206-207
期刊论文类型实证研究
收录类别SCI ; SSCI
出版者ELSEVIER
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:000993144000001
WOS分区Q2
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/45407
专题中国科学院心理健康重点实验室
通讯作者Yi, Zheng-hui; Chan, Raymond C. K.
作者单位1.Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Sch Med, Shanghai, Peoples R China
2.Nantong Fourth Peoples Hosp, Nantong, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Neuropsychol & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
5.Fudan Univ, Huashan Hosp, Sch Med, Dept Psychiat, Shanghai, Peoples R China
6.Univ Hong Kong, Sch Clin Med, Dept Psychiat, Hong Kong, Peoples R China
7.Castle Peak Hosp, Hong Kong, Peoples R China
8.Fudan Univ, Inst Mental Hlth, Shanghai, Peoples R China
9.Shanghai Mental Hlth Ctr, 600 South Wanping Rd, Shanghai, Peoples R China
10.Chinese Acad Sci, Inst Psychol, 16 Lincui Rd, Beijing 100101, Peoples R China
通讯作者单位认知与发展心理学研究室;  中国科学院心理研究所
推荐引用方式
GB/T 7714
Li, Shuai-biao,Liu, Chao,Zhang, Jian-biao,et al. Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second-generation clinical assessments (vol 248, pg 131, 2022)[J]. SCHIZOPHRENIA RESEARCH,2023,252:206-207.
APA Li, Shuai-biao.,Liu, Chao.,Zhang, Jian-biao.,Wang, Ling-ling.,Hu, Hui-xin.,...&Chan, Raymond C. K..(2023).Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second-generation clinical assessments (vol 248, pg 131, 2022).SCHIZOPHRENIA RESEARCH,252,206-207.
MLA Li, Shuai-biao,et al."Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second-generation clinical assessments (vol 248, pg 131, 2022)".SCHIZOPHRENIA RESEARCH 252(2023):206-207.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Revisiting the laten(1036KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Shuai-biao]的文章
[Liu, Chao]的文章
[Zhang, Jian-biao]的文章
百度学术
百度学术中相似的文章
[Li, Shuai-biao]的文章
[Liu, Chao]的文章
[Zhang, Jian-biao]的文章
必应学术
必应学术中相似的文章
[Li, Shuai-biao]的文章
[Liu, Chao]的文章
[Zhang, Jian-biao]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。