Evidence map›Paper›PMID 36039912›Full record

ArticleResearch in psychotherapy (Milano)2022

Interpersonal emotion regulation questionnaire: psychometric properties of the Italian version and associations with psychopathology.

Irene Messina, Pietro Spataro, Alessandro Grecucci, Danielle M Moskow, Cristina Marogna, Stefan G Hofmann

Open access · goldAbstract read
In one paragraph

Article in Research in psychotherapy (Milano), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Irene MessinaDepartment of Economics, Mercatorum University, Rome, Italy; Department of Psychology and Cognitive Sciences, University of Trento. irene.messina@unimercatorum.it.
Pietro SpataroDepartment of Economics, Mercatorum University, Rome. pietro.spataro@unimercatorum.it.
Alessandro GrecucciDepartment of Psychology and Cognitive Sciences, University of Trento, Italy; Centre for Medical Sciences, University of Trento. alessandro.grecucci@unitn.it.
Danielle M MoskowDepartment of Psychological and Brain Sciences, Boston University. dmoskow@bu.edu.
Cristina MarognaDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padua. cristina.marogna@unipd.it.
Stefan G HofmannDepartment of Psychological and Brain Sciences, Boston University. shofmann@bu.edu.
Boston University · USUniversity of Trento · ITMercatorum University · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging field of interpersonal emotion regulation (IER) is drawing attention to forms of emotion regulation which involve communication and social interaction as part of the regulation process. The availability of instruments to measure IER in different languages represents significant promise for future work in this field. The goal of the present study was to validate an Italian adaptation of a self-report instrument for the assessment of IER, the Interpersonal Emotion Regulation Questionnaire (IERQ; Hofmann et al., 2016). In an Italian sample (N=448), exploratory and confirmatory factor analyses confirmed the original structure comprising four factors (Enhancing Positive Affect, Perspective Taking, Soothing and Social Modelling). Correlations with other measures of emotion regulation showed good convergent validity of the questionnaire.

Identifiers

PMID36039912
PMCPMC9472333
OpenAlexW4293168689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.