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Development and validation of a short form of the Geriatric Anxiety Inventory – the GAI-SF

Published online by Cambridge University Press:  18 June 2010

Gerard J. Byrne*
Affiliation:
School of Medicine, University of Queensland, and Royal Brisbane and Women's Hospital, Brisbane, Australia
Nancy A. Pachana
Affiliation:
School of Psychology, University of Queensland, Brisbane, Australia
*
Correspondence should be addressed to: Associate Professor Gerard Byrne, Discipline of Psychiatry, School of Medicine, University of Queensland, K Floor, Mental Health Centre, Royal Brisbane and Women's Hospital, Herston QLD 4029, Australia. Phone: +61 7 3365 5148; Fax: +61 7 3365 5488. Email: gerard.byrne@uq.edu.au.

Abstract

Background: Anxiety symptoms and anxiety disorders are highly prevalent among older people and are associated with considerable disability burden. While several instruments now exist to measure anxiety in older people, there is a need for a very brief self-report scale to measure anxiety symptoms in epidemiological surveys, in primary care and in acute geriatric medical settings. Accordingly, we undertook the development of such a scale, based on the Geriatric Anxiety Inventory.

Methods: This is a cross-sectional study of randomly selected, community-residing, older women (N = 284; mean age 72.2 years) using receiver operating characteristic (ROC) analyses. DSM-IV diagnostic interviews were undertaken using the Mini International Diagnostic Interview, fifth edition (MINI-V).

Results: We developed a 5-item version of the Geriatric Anxiety Inventory, which we have termed the Geriatric Anxiety Inventory – Short Form (GAI-SF). We found that a score of three or greater was optimal for the detection of DSM-IV Generalized Anxiety Disorder (GAD) in this community sample. At this cut-point, sensitivity was 75%, specificity was 87%, and 86% of participants were correctly classified. GAI-SF score was not related to age, MMSE score, level of education or perceived income adequacy. Internal consistency was high (Cronbach's α = 0.81) and concurrent validity against the State-Trait Anxiety Inventory was good (rs = 0.48, p < 0.001).

Conclusions: The GAI-SF is a short form of the Geriatric Anxiety Inventory, which we recommend for use in epidemiological studies. It may also be useful in primary care and acute geriatric medical settings.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2010

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References

Bryant, C., Jackson, H. and Ames, D. (2008). The prevalence of anxiety in older adults: methodological issues and a review of the literature. Journal of Affective Disorders, 109, 233250.CrossRefGoogle Scholar
Calleo, J. et al. (2009). Generalized anxiety disorder in older medical patients: diagnostic recognition, mental health management and service utilization. Journal of Clinical Psychology in Medical Settings, 16, 178185.CrossRefGoogle ScholarPubMed
Cooper, C., Balamurali, T. B. and Livingston, G. (2007). A systematic review of the prevalence and covariates of anxiety in caregivers of people with dementia. International Psychogeriatrics, 19, 175195.CrossRefGoogle ScholarPubMed
Crum, R. M., Anthony, J. C., Bassett, S. S. and Folstein, M. F. (1993). Population-based norms for the Mini-mental State Examination by age and educational level. JAMA, 269, 23862391.CrossRefGoogle ScholarPubMed
Edelstein, B. A. et al. (2007). Older adult psychological assessment: Current instrument status and related considerations. Clinical Gerontologist, 31, 135.CrossRefGoogle Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle ScholarPubMed
Henderson, A. S., Jorm, A. F., Korten, A. E., Jacomb, P., Christensen, H. and Rodgers, B. (1998). Symptoms of depression and anxiety during adult life: evidence for a decline in prevalence with age. Psychological Medicine, 28, 13211328.CrossRefGoogle ScholarPubMed
Hoyl, M. T. et al. (1999). Development and testing of a five-item version of the Geriatric Depression Scale. Journal of the American Geriatrics Society, 47, 873878.CrossRefGoogle ScholarPubMed
Khoo, S. K., O'Neill, S., Travers, C., Oldenburg, B.and the LAW Study Group. (2008). Age-related changes relevant to health in women: design, recruitment, and retention strategies for the Longitudinal Assessment of Women (LAW) study. Journal of Women's Health, 17, 135146.CrossRefGoogle ScholarPubMed
King-Kallimanis, B., Gum, A. M. and Kohn, R. (2009). Comorbidity of depressive and anxiety disorders for older Americans in the national comorbidity survey-replication. American Journal of Geriatric Psychiatry, 17, 782792.CrossRefGoogle ScholarPubMed
Kvaal, K., Laake, K. and Engedal, K. (2001). Psychometric properties of the state part of the Spielberger State-Trait Anxiety Inventory (STAI) in geriatric patients. International Journal of Geriatric Psychiatry, 16, 980986.CrossRefGoogle ScholarPubMed
Lyketsos, C. G., Lopez, O., Jones, B., Fitzpatrick, A. L., Breitner, J. and DeKosky, S. (2002). Prevalence of neuropsychiatric symptoms in dementia and mild cognitive impairment: results from the cardiovascular health study. JAMA, 288, 14751483.CrossRefGoogle ScholarPubMed
Monastero, R., Mangialasche, F., Camarda, C., Ercolani, S. and Camarda, R. (2009). A systematic review of neuropsychiatric symptoms in mild cognitive impairment. Journal of Alzheimers Disease, 18, 1130.CrossRefGoogle ScholarPubMed
Pachana, N. A., Byrne, G. J. A., Siddle, H., Koloski, N., Harley, E. and Arnold, E. (2007a). Development and validation of the Geriatric Anxiety Inventory. International Psychogeriatrics, 19, 103114.CrossRefGoogle ScholarPubMed
Pachana, N. A., Woodman, R. and Byrne, G. J. A. (2007b). Treatment of specific phobia in older adults. Clinical Interventions in Aging, 2, 469476.Google ScholarPubMed
Porensky, E. K. et al. (2009). Anxiety disorder: effects on disability, health-related quality of life, and healthcare utilization. American Journal of Geriatric Psychiatry, 17, 473482.CrossRefGoogle ScholarPubMed
Rozzini, L. et al. (2009). Anxiety symptoms in mild cognitive impairment. International Journal of Geriatric Psychiatry, 24, 300305.CrossRefGoogle ScholarPubMed
Sheikh, J. and Yesavage, J. (1986). Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. In Sheikh, J. I. and Yesavage, J. A. (eds.), Clinical Gerontology: A Guide to Assessment and Intervention (pp 165173). NY: The Haworth Press.Google Scholar
Sheehan, D. V. and Lecrubier, Y. (2002). MINI International Neuropsychiatric Interview for DSM-IV (English Version 5.0.0). Tampa: University of South Florida.Google Scholar
Spielberger, C. D., Gorsuch, R. and Lushene, R. E. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.Google Scholar
Steffens, D. C. and McQuoid, D. R. (2005). Impact of symptoms of generalized anxiety disorder on the course of late-life depression. American Journal of Geriatric Psychiatry, 13, 4047.CrossRefGoogle ScholarPubMed
Teesson, M., Slade, T. and Mills, K. (2009). Comorbidity in Australia: findings of the 2007 National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry, 43, 606614.CrossRefGoogle ScholarPubMed