Evidence map›Paper›PMID 40176871›Full record

SynthesisFrontiers in psychology2024

Cross-cultural adaptation and validation of cognitive emotion regulation questionnaire: a systematic review.

Fatemeh Fekar Gharamaleki, Zeinab Fathipour-Azar

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Fatemeh Fekar GharamalekiDepartment of Speech Therapy, Tabriz University of Medical Sciences, Tabriz, Iran.
Zeinab Fathipour-AzarDepartment of Occupational Therapy, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Cognitive Emotion Regulation Questionnaire (CERQ) is an important instrument for assessing the perceived effectiveness of emotional regulation strategies. It has been adapted into numerous regional languages worldwide. This systematic review seeks to explore the various versions of the CERQ, focusing on their processes of linguistic and cultural adaptation, as well as their validity and reliability. Methods: Articles were systematically extracted from the literature review using search engines such as PubMed, Google Scholar, Web of Science, and Scopus. The focus was on identifying studies published in English between the years 2000 and 2024. This review also encompassed various versions of the CERQ that had been adapted and validated to accommodate linguistic and cultural differences. Results: The original database yielded 1,476 search results. After filtering out duplicates, 420 articles were examined. Following a review of the titles and abstracts, 21 studies were identified for further evaluation. Ultimately, 13 versions were chosen for the final analysis. Conclusion: This review offers an in-depth insight into the difficulties faced in cross-cultural adaptation and the psychometric assessment processes. Notably, the predominant approach for translation identified in the reviewed literature was Brislin's classic back-translation model. The findings demonstrate strong test-retest reliability, excellent internal consistency, and reasonable construct validity across various languages, affirming the usability of the translated versions of the CERQ in different linguistic contexts.

Indexed as

assessmentcognitionemotional regulationsreliabilityvalidity

Identifiers

PMID40176871
PMCPMC11961981

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.