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Validation of the short-cognitive inventory of subjective distress (S-CISD)

Published online by Cambridge University Press:  23 September 2014

Carole Fantini-Hauwel ,
Eliane Dovi  and
Pascal Antoine
Carole Fantini-Hauwel*
Affiliation:
Research Center in Clinical Psychology, Psychopathology and Psychosomatics, Université Libre de Bruxelles, Belgium
Eliane Dovi
Affiliation:
Research Center in Clinical Psychology, Psychopathology and Psychosomatics, Université Libre de Bruxelles, Belgium
Pascal Antoine
Affiliation:
University Lille North of France–UPRES URECA EA 1059–“Family, Health and Emotion” Group, Villeneuve d’Ascq, France
*
Correspondence should be addressed to: Pr Fantini-Hauwel Carole. Email: [email protected].
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Abstract

Background:

This investigation aimed to develop a screening tool based on the Cognitive Inventory of Subjective Distress (CISD). Two studies were designed in order to test the second-order factorial structure of the CISD, to shorten its length and to assess its replicability on a second large independent sample.

Methods:

We recruited a first sample (n = 290) living at home or in retirement centers and a second community-based sample (n = 1,429). The first sample completed the original CISD as well as cognitive, autonomy, anxiety, and depression assessments. The second sample completed the Short-CISD (S-CISD).

Results:

Factor analyses supported a second-order factorial structure allowing to engage in a refinement of the scale. We retained seven items corresponding to a dimension of cognitive schemas. Confirmatory Factor Analysis (CFA) demonstrated that the S-CISD exhibited satisfying psychometric properties as well as factorial replicability and structural invariance in two different samples. Further, the internal consistency of the S-CISD is acceptable.

Conclusion:

The S-CISD is a relevant screening tool for rapidly assessing psychological distress. It is directed towards old and very old individuals either living at home or in a retirement center, while also taking into account the fatigability and potential cognitive impairment of this population. This screening tool can be confidently used for psychopathological assessment and can serve as a baseline for following patients over time or in the course of therapy.

Keywords

distressdepressionanxietyassessmentaging
Type
Research Article
Information
International Psychogeriatrics , Volume 27 , Issue 2 , February 2015 , pp. 261 - 266
Copyright
Copyright © International Psychogeriatric Association 2014 

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References

Antoine, P., Antoine, C. and Nandrino, J. L. (2008). Development and validation of the cognitive inventory of subjective distress. International Journal of Geriatric Psychiatry, 23, 1175–1181.CrossRefGoogle ScholarPubMed
Antoine, P., Antoine, C. and Poinsot, R. (2007). Elderly distress: cognitive schema identification. Psychologie et NeuroPsychiatrie du Vieillissement, 5, 305–314.Google ScholarPubMed
Baltes, P. B. and Smith, J. (1997). A systemic-wholistic view of psychological functioning in very old age: introduction to a collection of articles from the Berlin aging study. Psychology and Aging, 12, 395–409.CrossRefGoogle ScholarPubMed
Bollen, K. A. (1989). Structural Equations with Latent Variables. New York: John Wiley & Sons.CrossRefGoogle Scholar
Devanand, D. P. (2002). Comorbid psychiatric disorders in late life depression. Biological Psychiatry, 51, 236–242.CrossRefGoogle Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). ‘Mini-Mental State’: a practical method for grading the state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle Scholar
Hu, L. A. and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi: 10.1080/10705519909540118.CrossRefGoogle Scholar
Kindynis, S., Burlacu, S., Louville, P. and Limosin, F. (2013). Thérapie des schémas du sujet âgé: impact sur la dépression, l’anxiété et les schémas cognitifs typiques. L’Encéphale, 39, 393–400.CrossRefGoogle Scholar
Lawton, M. P. and Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist, 9, 179–186.CrossRefGoogle ScholarPubMed
Schmidt, N. B. and Joiner, T. E. (2004). Global maladaptive schemas, negative life events, and psychological distress. Journal of Psychopathology and Behavioral Assessment, 26, 65–72.CrossRefGoogle Scholar
Sheikh, J. I. and Yesavage, J. A. (1986). Geriatric Depression Scale (GDS). Recent evidence and development of a shorter version. In Brink, T. L. (eds.), Clinical Gerontology: A Guide to Assessment and Intervention (pp. 165–173). New York: The Haworth Press.Google Scholar
Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory (form Y), Palo Alto, CA: Consulting Psychologist Press.Google Scholar
Yesavage, J. et al. (1983). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatry Research, 17, 37–49.CrossRefGoogle Scholar