The General Psychopathology Factor: Structural Stability and Generalizability to Within-Individual Changes

作者
Kia Gluschkoff,Markus Jokela,Tom Rosenström
出处
期刊:Frontiers in Psychiatry [Frontiers Media]
卷期号:10: 594-594 被引量:55
标识
DOI:10.3389/fpsyt.2019.00594
摘要

Objectives: Although cross-sectional investigations have found a bifactor structure of psychiatric comorbidity that includes a general psychopathology factor plus more specific factors, prospective evidence supporting the bifactor structure is still limited. We evaluated the structural stability (i.e., longitudinal invariance) of the bifactor model in comparison to an alternative structure, a correlated factors model without a general psychopathology factor. We also investigated the models’ generalizability to change processes in psychopathology. Methods: The analyses were conducted on 10-year follow-up data from 5001 respondents in the US National Comorbidity Survey. Invariance was evaluated through a series of nested invariance tests using confirmatory factor analysis, and the models’ generalizability to change processes was investigated using change scores of disorder status. Results: The bifactor model and the correlated factors model exhibited an equal degree of strong structural stability over time. Only the bifactor model satisfactorily characterized the structure of temporal changes in psychopathology. Conclusions: The bifactor structure with a general psychopathology factor is stable over time and describes temporal changes in psychopathology. The findings support the notion that the general psychopathology factor describes a transdiagnostic etiology and may therefore provide a useful target for intervention and treatment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LAN完成签到,获得积分10
刚刚
wlywdb发布了新的文献求助10
刚刚
小红发布了新的文献求助10
1秒前
1秒前
SciGPT应助刘屁屁采纳,获得10
1秒前
wyyt完成签到,获得积分10
1秒前
超威蓝猫完成签到,获得积分10
2秒前
wsnssbnhbx1发布了新的文献求助10
3秒前
3秒前
赵雅静完成签到,获得积分10
3秒前
3秒前
3秒前
科研通AI6.2应助海因伯顿采纳,获得10
4秒前
Tokgo发布了新的文献求助10
4秒前
ccccc发布了新的文献求助10
4秒前
情怀应助杨咩咩采纳,获得10
4秒前
Childwise完成签到,获得积分10
4秒前
5秒前
pupil完成签到,获得积分10
5秒前
尼克完成签到,获得积分10
6秒前
wooyn发布了新的文献求助10
7秒前
yongfeng发布了新的文献求助10
8秒前
8秒前
稀罕你完成签到,获得积分10
9秒前
香蕉觅云应助月如钩采纳,获得10
9秒前
糕67777yc发布了新的文献求助10
9秒前
嘻嘻嘻完成签到,获得积分10
10秒前
科研通AI6.2应助启程采纳,获得10
10秒前
共享精神应助七七采纳,获得10
10秒前
zwy发布了新的文献求助10
10秒前
11秒前
宁溪完成签到,获得积分10
12秒前
脑洞疼应助2255667采纳,获得10
12秒前
12秒前
hd完成签到,获得积分10
13秒前
13秒前
悦耳静枫发布了新的文献求助10
13秒前
大模型应助shichao采纳,获得10
14秒前
nspfuture发布了新的文献求助10
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774741
求助须知:如何正确求助?哪些是违规求助? 9316813
关于积分的说明 20352977
捐赠科研通 7361045
什么是DOI,文献DOI怎么找? 3317815
关于科研通互助平台的介绍 2466088
邀请新用户注册赠送积分活动 2333081