The psychometric properties of the cognitive emotion regulation questionnaire (CERQ) in a clinical sample of adults with recurrent depression.
Confirmatory factor analysis
Construct Validity
Depression
Emotion regulation
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
01 11 2020
01 11 2020
Historique:
received:
05
06
2019
revised:
17
05
2020
accepted:
14
06
2020
pubmed:
23
7
2020
medline:
16
2
2021
entrez:
23
7
2020
Statut:
ppublish
Résumé
Affective dysregulation is central to depression. However, emotion regulation (ER) tendencies in depression remain poorly understood. It is critical, therefore, to validate measures of habitual ER in clinical populations. The current study aimed to validate the Cognitive Emotion Regulation Questionnaire (CERQ) in a sample of individuals with a history of recurrent depression who are currently in remission. The CERQ measures ER tendencies with 36 self-report items that are divided into nine subscales. Each subscale is purported to assess one of five adaptive and four maladaptive ER strategies. The CERQ was administered to 476 adults (mean age = 46.76 years; 75% female) that were currently in remission with a history of recurrent depression, who were recruited from primary care settings. We first investigated the CERQ's nine factor structure, internal consistency, convergent and criterion validity. The nine-factor structure did not fit the CERQ structure in a sample of individuals with recurrent depression and convergent validity was poor. Instead, a five-factor structure fit the data best and showed acceptable convergent and criterion validity. The generalisability of the findings may be limited due to relative lack of diversity in terms of gender and ethnicity of the sample. These results suggest that the taxonomic structure of the CERQ does not fit emotion regulation patterns in adults with a history of depression. These findings highlight the importance of validating measures in clinical samples.
Sections du résumé
BACKGROUND
Affective dysregulation is central to depression. However, emotion regulation (ER) tendencies in depression remain poorly understood. It is critical, therefore, to validate measures of habitual ER in clinical populations. The current study aimed to validate the Cognitive Emotion Regulation Questionnaire (CERQ) in a sample of individuals with a history of recurrent depression who are currently in remission.
METHOD
The CERQ measures ER tendencies with 36 self-report items that are divided into nine subscales. Each subscale is purported to assess one of five adaptive and four maladaptive ER strategies. The CERQ was administered to 476 adults (mean age = 46.76 years; 75% female) that were currently in remission with a history of recurrent depression, who were recruited from primary care settings. We first investigated the CERQ's nine factor structure, internal consistency, convergent and criterion validity.
RESULTS
The nine-factor structure did not fit the CERQ structure in a sample of individuals with recurrent depression and convergent validity was poor. Instead, a five-factor structure fit the data best and showed acceptable convergent and criterion validity.
LIMITATIONS
The generalisability of the findings may be limited due to relative lack of diversity in terms of gender and ethnicity of the sample.
CONCLUSION
These results suggest that the taxonomic structure of the CERQ does not fit emotion regulation patterns in adults with a history of depression. These findings highlight the importance of validating measures in clinical samples.
Identifiants
pubmed: 32697701
pii: S0165-0327(20)32458-7
doi: 10.1016/j.jad.2020.06.061
pmc: PMC7613961
mid: EMS158081
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
212-219Subventions
Organisme : Department of Health
ID : 08/56/01
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 209127/A/17/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 209127
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U105579215
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00005/14
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U105579212
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Informations de copyright
Copyright © 2020. Published by Elsevier B.V.
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