Contribution of dysfunctional sleep-related cognitions on insomnia severity: a network perspective

被引:3
作者
Cha, Eun Jung [1 ]
Hong, Sumin [1 ]
Kim, Seolmin [1 ]
Chung, Seockhoon [2 ]
Jeon, Hong Jun [1 ,3 ]
机构
[1] Konkuk Univ, Med Ctr, Sch Med, Dept Psychiat, Seoul, South Korea
[2] Univ Ulsan, Coll Med, Asan Med Ctr, Dept Psychiat, Seoul, South Korea
[3] Konkuk Univ, Med Ctr, Dept Psychiat, 120-1 Neungdong Ro, Seoul, South Korea
来源
JOURNAL OF CLINICAL SLEEP MEDICINE | 2024年 / 20卷 / 05期
关键词
insomnia; dysfunctional beliefs; network analysis; relative importance network; BEHAVIORAL THERAPY; VALIDATION; ATTITUDES; DISORDER; BELIEFS; VERSION;
D O I
10.5664/jcsm.11006
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Objectives: Various models of insomnia stress the role of cognitive components, such as dysfunctional sleep -related beliefs, in maintenance and exacerbation of insomnia. This study aimed to use network analysis to identify the particular beliefs that are central and have strong associations with insomnia severity. In addition, we aimed to use a relative importance network to map out predictive pathways between types of dysfunctional beliefs and insomnia severity. Methods: This study was a retrospective study, with data collected from 219 patients with insomnia. Patients ' responses to the Dysfunctional Beliefs about Sleep Scale -16 (DBAS-16) and Insomnia Severity Index (ISI) were collected. All network analyses were performed using R Studio to produce 3 networks: (1) DBAS-16 network, (2) DBAS-16 and ISI network, and (3) relative importance network containing DBAS-16 subscales and ISI. Results: Beliefs reflecting overestimation of negative consequences of sleep (eg, "insomnia is ruining life "), loss of ability (eg, "worry about losing abilities to sleep "), and unpredictability (eg, "can 't predict sleep quality ") were identified as most central and strongly associated with insomnia severity. Worry/helplessness about insomnia had the largest predictive value on insomnia severity, and also acted as a mediator between other subscales and insomnia severity. Conclusions: The results of our study suggest that overestimation of negative consequences, loss of ability, and unpredictability are key beliefs that exacerbate and maintain insomnia, thus supporting existing cognitive models of insomnia.
引用
收藏
页码:743 / 751
页数:9
相关论文
共 35 条
[1]  
Abramowitz J S., 2020, Clinical handbook of fear and anxiety: Maintenance processes and treatment mechanisms, P7, DOI DOI 10.1037/0000150-001
[2]  
[Anonymous], 2014, INT CLASSIFICATION S, V3
[3]  
[Anonymous], 2000, Diagnostic and statistical manual of mental disorders: DSM-5, V4th, DOI [10.1176/appi.books.9780890425596, DOI 10.1176/APPI.BOOKS.9780890425596, 10.1176/appi.books.9780890420614.dsm-iv]
[4]   Validation of the Insomnia Severity Index as an outcome measure for insomnia research [J].
Bastien, Celyne H. ;
Vallieres, Annie ;
Morin, Charles M. .
SLEEP MEDICINE, 2001, 2 (04) :297-307
[5]  
BOOTZIN RR, 1992, J CLIN PSYCHIAT, V53, P37
[6]   Network Analysis: An Integrative Approach to the Structure of Psychopathology [J].
Borsboom, Denny ;
Cramer, Angelique O. J. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 :91-121
[7]   Validation of a Korean Version of the Insomnia Severity Index [J].
Cho, Yong Won ;
Song, Mel Ling ;
Morin, Charles M. .
JOURNAL OF CLINICAL NEUROLOGY, 2014, 10 (03) :210-215
[8]  
Dautovich ND, 2010, NAT SCI SLEEP, V2, P23
[9]   Cognitive behavioral therapy for treatment of chronic primary insomnia - A randomized controlled trial [J].
Edinger, JD ;
Wohlgemuth, WK ;
Radtke, RA ;
Marsh, GR ;
Quillian, RE .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 285 (14) :1856-1864
[10]   Estimating psychological networks and their accuracy: A tutorial paper [J].
Epskamp, Sacha ;
Borsboom, Denny ;
Fried, Eiko I. .
BEHAVIOR RESEARCH METHODS, 2018, 50 (01) :195-212