Evidence map›Paper›PMID 30506757›Full record

ArticleInternational journal of methods in psychiatric research2019

Validation of an electronic version of the Self-Awareness Questionnaire in English and Italian healthy samples.

Laura Hughes, Sophie Betka, Mariachiara Longarzo

Abstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Examining item content validity using property fitting analysis via multidimensional scaling.International journal of methods in psychiatric research · 2019
    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

3 authors.

Laura HughesNeuroscience Department, Brighton and Sussex Medical School, Brighton, UK.
Sophie BetkaNeuroscience Department, Brighton and Sussex Medical School, Brighton, UK.
Mariachiara LongarzoNaplab, IRCCS SDN, Napoli, Italy.ORCID 0000-0001-6139-3264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInteroception is a general sensitivity to bodily sensations that informs motivational processes and behaviours. Interoceptive abilities seem to be impaired in several clinical conditions, and the development of new pragmatic instruments to assess subjective components of interoception are crucially needed. An easy to use paper and pencil questionnaire measuring sensitivity to bodily sensations was validated in an Italian sample (Self-Awareness Questionnaire; SAQ).

methodsIn the present study, we created and evaluated an electronic version of the SAQ in Italian and English language.

resultsPsychometric properties of both electronic versions of the SAQ were validated in an Italian (n = 206) and an English (n = 275) sample, using factorial analyses. Differences in factorial structures observed between the two samples were discussed in terms of cultural impact on emotional regulation and bodily sensations processing.

conclusionsThe electronic version of SAQ in English and Italian provides a pragmatic and validated tool to evaluate bodily signal sensitivity in clinical settings, informing the development of a new therapy targeting interoceptive processes, in a wide range of psychopathological conditions.

Indexed as

InteroceptionAdolescentAdultAffective SymptomsAgedAnxietyFactor Analysis, StatisticalFemaleHumansItalyMaleMiddle AgedPerceptionPsychometricsReproducibility of ResultsSoftwareawarenesselectronic versionEnglish populationinteroceptionItalian population

Identifiers

PMID30506757
PMCPMC7938397

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.