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Erschienen in:

02.01.2020 | Original Article

A subjective cognitive impairments scale for migraine attacks: validation of the Italian version of the MIG-SCOG

verfasst von: Antonio Russo, Marcello Silvestro, Federica Garramone, Alessandro Tessitore, Maria Cropano, Fabrizio Scotto di Clemente, Luigi Trojano, Gioacchino Tedeschi, Gabriella Santangelo

Erschienen in: Neurological Sciences | Ausgabe 5/2020

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Abstract

Background

The MIG-SCOG is a questionnaire to assess self-reported subjective cognitive symptoms during migraine attacks, consisting of 9 items evaluating executive functions and language. The aim of the study was to evaluate the psychometric properties of the Italian version of the MIG-SCOG (I-MIG-SCOG) in patients with migraine without aura.

Methods

The I-MIG-SCOG underwent 20 Italian healthy subjects to assess its comprehensibility. Reliability and divergent validity of the I-MIG-SCOG were evaluated in a sample of 153 migraines without aura patients. They also underwent Montreal Cognitive Assessment, Beck Depression Inventory and Apathy Evaluation Scale.

Results

The final I-MIG-SCOG was easily comprehensible. There were no missing data, no floor and ceiling effects; mean I-MIG-SCOG score was 7.54 ± 3.98; Cronbach’s alpha was 0.814. The I-MIG-SCOG score correlated poorly with Montreal Cognitive Assessment, Beck Depression Inventory and Apathy Evaluation Scale.

Conclusion

The I-MIG-SCOG should represent a reliable and valid patient-centred and disease-related instrument to identify cognitive symptoms experienced during migraine attacks and to monitor the divergent effects of symptomatic treatments on cognitive functions also in Italian migraine patients.
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Metadaten
Titel
A subjective cognitive impairments scale for migraine attacks: validation of the Italian version of the MIG-SCOG
verfasst von
Antonio Russo
Marcello Silvestro
Federica Garramone
Alessandro Tessitore
Maria Cropano
Fabrizio Scotto di Clemente
Luigi Trojano
Gioacchino Tedeschi
Gabriella Santangelo
Publikationsdatum
02.01.2020
Verlag
Springer International Publishing
Erschienen in
Neurological Sciences / Ausgabe 5/2020
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-019-04200-y

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