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Anxiety in Multiple Sclerosis: psychometric properties of the State-Trait Anxiety Inventory.

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Title: Anxiety in Multiple Sclerosis: psychometric properties of the State-Trait Anxiety Inventory.
Authors: Santangelo, G., Sacco, R., Siciliano, M., Bisecco, A., Muzzo, G., Docimo, R., De Stefano, M., Bonavita, S., Lavorgna, L., Tedeschi, G., Trojano, L., Gallo, A.
Source: Acta Neurologica Scandinavica. Dec2016, Vol. 134 Issue 6, p458-466. 9p.
Subjects: Multiple sclerosis research, Anxiety diagnosis, State-Trait Anxiety Inventory, Psychometrics, Cognition disorders, Multiple sclerosis, Patients
Abstract: Objective The aims of the present study were to examine psychometric properties of the Spielberger State-Trait Anxiety Inventory ( STAI-Y-1 and STAI-Y-2, respectively) in a Multiple Sclerosis ( MS) population and to identify a cut-off score to detect those MS patients with high level of state and/or trait anxiety who could be more vulnerable to development of depression and/or cognitive defects. Material and methods The STAI-Y-1 and STAI-Y-2 was completed by a group of patients ( n = 175) affected by MS and a group of healthy subjects ( n = 150) matched for age, educational level, and gender. In MS patients internal consistency, divergent and discriminant validities were evaluated. Construct validity was examined by exploratory factor analysis for each scale. Results There was no missing data, no floor or ceiling effects for both scales. The two scales showed high internal consistency, good divergent, and Known-groups validities. To identify high levels of state and trait anxiety in a patient with MS, we proposed three gender specific screening cut-off values (1, 1.5, 2 SD) for the STAI-Y-1 and the STAI-Y-2. Conclusions The findings showed that the STAI-Y-1 and the STAI-Y-2 are a valid tool for clinical use in MS patients and can be useful to measure the severity of anxiety and to identify those patients with high anxiety to introduce them in specific non-pharmacological intervention. [ABSTRACT FROM AUTHOR]
Copyright of Acta Neurologica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Anxiety in Multiple Sclerosis: psychometric properties of the State-Trait Anxiety Inventory.
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  Data: <searchLink fieldCode="AR" term="%22Santangelo%2C+G%2E%22">Santangelo, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Sacco%2C+R%2E%22">Sacco, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Siciliano%2C+M%2E%22">Siciliano, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Bisecco%2C+A%2E%22">Bisecco, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Muzzo%2C+G%2E%22">Muzzo, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Docimo%2C+R%2E%22">Docimo, R.</searchLink><br /><searchLink fieldCode="AR" term="%22De+Stefano%2C+M%2E%22">De Stefano, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Bonavita%2C+S%2E%22">Bonavita, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Lavorgna%2C+L%2E%22">Lavorgna, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Tedeschi%2C+G%2E%22">Tedeschi, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Trojano%2C+L%2E%22">Trojano, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Gallo%2C+A%2E%22">Gallo, A.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Acta+Neurologica+Scandinavica%22">Acta Neurologica Scandinavica</searchLink>. Dec2016, Vol. 134 Issue 6, p458-466. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Multiple+sclerosis+research%22">Multiple sclerosis research</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety+diagnosis%22">Anxiety diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22State-Trait+Anxiety+Inventory%22">State-Trait Anxiety Inventory</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders%22">Cognition disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Patients%22">Patients</searchLink>
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  Data: Objective The aims of the present study were to examine psychometric properties of the Spielberger State-Trait Anxiety Inventory ( STAI-Y-1 and STAI-Y-2, respectively) in a Multiple Sclerosis ( MS) population and to identify a cut-off score to detect those MS patients with high level of state and/or trait anxiety who could be more vulnerable to development of depression and/or cognitive defects. Material and methods The STAI-Y-1 and STAI-Y-2 was completed by a group of patients ( n = 175) affected by MS and a group of healthy subjects ( n = 150) matched for age, educational level, and gender. In MS patients internal consistency, divergent and discriminant validities were evaluated. Construct validity was examined by exploratory factor analysis for each scale. Results There was no missing data, no floor or ceiling effects for both scales. The two scales showed high internal consistency, good divergent, and Known-groups validities. To identify high levels of state and trait anxiety in a patient with MS, we proposed three gender specific screening cut-off values (1, 1.5, 2 SD) for the STAI-Y-1 and the STAI-Y-2. Conclusions The findings showed that the STAI-Y-1 and the STAI-Y-2 are a valid tool for clinical use in MS patients and can be useful to measure the severity of anxiety and to identify those patients with high anxiety to introduce them in specific non-pharmacological intervention. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acta Neurologica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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