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The evaluation and design of a short depression screening tool in Turkish older adults

Published online by Cambridge University Press:  21 March 2018

Ozge Dokuzlar
Affiliation:
Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
Pinar Soysal
Affiliation:
Geriatric Center, Kayseri Education and Research Hospital, Kayseri, Turkey
Cansu Usarel
Affiliation:
Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
Ahmet Turan Isik*
Affiliation:
Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
*
Correspondence should be addressed to: Ahmet Turan ISIK, M.D., Unit for Aging Brain and Dementia, Department of Geriatric Medicine, Faculty of Medicine, Dokuz Eylul University, 35340 Balcova, Izmir, Turkey. Phone: +90-232-412-43-41; Fax: +90-232-412-43-39. Email: [email protected].
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Abstract

Introduction:

Depression is a common and serious healthcare problem for older adults. This study aimed to determine the validity and reliability of GDS-4 and GDS-5 in Turkish, and to establish a new short-form Geriatric Depression Scale (GDS) for our population, and also determine the superiority of each short scale to another.

Methods:

A total of 437 outpatients were enrolled in the study. A researcher evaluated all participants according to the Diagnostic and Statistical Manual of Mental Disorders-fifth edition (DSM-5) diagnostic criteria, and then another researcher applied GDS-15 to all participants. We obtained the answers of short GDS forms, examined in this study, from GDS-15 forms. After Cohen's κ analysis, we compared the diagnostic value of each question for geriatric depression according to their κ values, and developed three (TGDS-3), four (TGDS-4), five (TGDS-5), and six (TGDS-6) question scales to screen geriatric depression in Turkish population.

Results:

A total of 437 participants were assessed. The mean age (SD) of the patients was 72.95 years (7.37).Cronbach's α values of GDS-4 and GDS-5 were <0.70. Cronbach's α values of TGDS-3, TGDS-4, TGDS-5, and TGDS-6 were >0.70. The best cut-off values were ≥5 for GDS-15 and GDS-5, and ≥1 for others.

Discussion:

GDS-15 is the most powerful screening scale for geriatric depression. GDS-4 and GDS-5 are not eligible for depression screening in Turkish older adults. All new short scales are valid and reliable, and TGDS-4 is a practical, less time-consuming option for daily practice.

Type
Original Research Article
Copyright
Copyright © International Psychogeriatric Association 2018 

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References

Arslantas, D., Ünsal, A. and Ozbabalık, D. (2014). Prevalence of depression and associated risk factors among the elderly in Middle Anatolia, Turkey. Geriatrics & Gerontology International, 14, 100108.Google Scholar
Bailly, N., Maître, I. and Van Wymelbeke, V. (2015). Relationships between nutritional status, depression and pleasure of eating in aging men and women. Archives of Gerontology and Geriatrics, 61, 330336.Google Scholar
Burke, W. J., Roccaforte, W. H. and Wengel, S. P. (1991). The short form of the geriatric depression scale: a comparison with the 30-item form. Journal of Geriatric Psychiatry and Neurology, 4, 173178.Google Scholar
Castelo, M. S. et al. (2010). Validity of the Brazilian of the geriatric depression scale (GDS) among primary care patients. International Psychogeriatrics, 22, 109113.Google Scholar
Chakkamparambil, B., Chibnall, J. T., Graypel, E. A., Manepalli, J. N., Bhutto, A. and Grossberg, G. T. (2015). Development of a brief validated geriatric depression screening tool: the SLU “AM SAD. The American Journal of Geriatric Psychiatry, 23, 780783.Google Scholar
Chentsova-Dutton, Y. E., Ryder, A. G. and Tsai, J. (2015). Handbook of Depression. In Gotlib, I. H. and Hammen, C. L. (eds.), Understanding Depression across Cultural Contexts (pp. 337354). New York: Guilford Publications.Google Scholar
Choi, S., Hasche, L. and Nguyen, D. (2015). Effects of depression on the subsequent year's healthcare expenditures among older adults: two-year panel study. The Psychiatric Quarterly, 86, 225241.Google Scholar
Choi, S., Lee, S., Matejkowski, J. and Baek, Y. M. (2014). The relationships among depression, physical health conditions and healthcare expenditures for younger and older Americans. Journal of Mental Health, 23, 140145.Google Scholar
Crews, J. E. and Campbell, V. A. (2004). Vision impairment and hearing loss among community-dwelling older Americans: implications for health and functioning. American Journal of Public Health, 94, 823829.Google Scholar
Durmaz, B., Soysal, P., Ellidokuz, H. and Isik, A. T. (2018). Validity and Reliability of Geriatric Depression Scale-15 (short form) in Turkish older adults. Northern Clinics of Istanbul. doi: 10.14744/nci.2017.85047.Google Scholar
Fiske, A., Wetherell, J. L. and Gatz, M. (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363389.Google Scholar
Forlani, C. et al. (2014). Prevalence and gender differences in late-life depression: a population-based study. The American Journal of Geriatric Psychiatry, 22, 370380.Google Scholar
Fountoulakis, K. N. et al. (1999). The validation of the short form of the geriatric depression scale (GDS) in Greece. Aging: Clinical and Experimental Research, 11, 367372.Google Scholar
Friedman, B., Heisel, M. J. and Delavan, R. L. (2005). Psychometric properties of the 15-item geriatric depression scale in functionally impaired, cognitively intact, community-dwelling elderly primary care patients. Journal of the American Geriatrics Society, 53, 15701576.Google Scholar
Hall, C. A. and Reynolds-Iii, C. F. (2014). Late-life depression in the primary care setting: challenges, collaborative care, and prevention. Maturitas, 79, 147152.Google Scholar
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.Google Scholar
Iaboni, A. and Flint, A. J. (2013). The complex interplay of depression and falls in older adults: a clinical review. The American Journal of Geriatric Psychiatry, 21, 484492.Google Scholar
Imai, H. et al. (2014). Factor structures of a Japanese version of the geriatric depression scale and its correlation with the quality of life and functional ability. Psychiatry Research, 215, 460465.Google Scholar
Kok, R. M. and Reynolds, C. F. (2017). Management of depression in older adults. JAMA, 20, 21142122.Google Scholar
Li, J., Theng, Y. L. and Foo, S. (2015). Depression and psychosocial risk factors among community-dwelling older adults in Singapore. Journal of Cross-cultural Gerontology, 30, 409422.Google Scholar
Li, L. W. and Conwell, Y. (2009). Effects of changes in depressive symptoms and cognitive functioning on physical disability in home care elders. Journal of Gerontology: Medical Sciences, 64, 230–36.Google Scholar
Malakouti, S. K., Fatollahi, P., Mirabzadeh, A., Salavati, M. and Zandi, T. (2006). Reliability, validity and factor structure of the GDS-15 in Iranian elderly. International Journal of Geriatric Psychiatry, 21, 588593.Google Scholar
Marc, L. G., Raue, P. J. and Bruce, M. L. (2008). Screening performance of the 15-item geriatric depression scale in a diverse elderly home care population. The American Journal of Geriatric Psychiatry, 16, 914921.Google Scholar
McCall, W. V. and Kintziger, K. W. (2013). Late life depression: a global problem with few resources. The Psychiatric Clinics of North America, 36, 475481.Google Scholar
Mitchell, A. J., Rao, S. and Vaze, A. (2010). Do primary care physicians have particular difficulty identifying late-life depression? A meta-analysis stratified by age. Psychotherapy and Psychosomatics, 79, 285294.Google Scholar
Mizokami, F., Koide, Y., Noro, T. and Furuta, K. (2012). Polypharmacy with common diseases in hospitalized elderly patients. The American Journal of Geriatric Pharmacotherapy, 10, 123128.Google Scholar
Murphy, M. J. and Peterson, M. J. (2015). Sleep disturbances in depression. Sleep Medicine Clinics, 10, 1723.Google Scholar
Nyunt, M. S., Fones, C., Niti, M. and Ng, T. P. (2009). Criterion-based validity and reliability of the Geriatric Depression Screening Scale (GDS-15) in a large validation sample of community-living Asian older adults. Aging Mental Health, 13, 376382.Google Scholar
Owsley, C., McGwin, G. Jr., Scilley, K., Meek, G. C., Seker, D. and Dyer, A. (2007). Effect of refractive error correction on health-related quality of life and depression in older nursing home residents. Archives of Ophthalmology, 125, 14711477.Google Scholar
Reinlieb, M., Ercoli, L. M., Siddarth, P., St Cyr, N. and Lavretsky, H. (2014). The patterns of cognitive and functional impairment in amnestic and non-amnestic mild cognitive impairment in geriatric depression. The American Journal of Geriatric Psychiatry, 22, 14871495.Google Scholar
Rinaldi, P. et al. (2003). Validation of the five-item geriatric depression scale in elderly subjects in three different settings. Journal of the American Geriatrics Society, 51, 694698.Google Scholar
Robison, J., Gruman, C., Gaztambide, S. and Blank, K. (2002). Screening for depression in middle-aged and older puerto rican primary care patients. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 57, M308M314.Google Scholar
Sachs-Ericsson, N. et al. (2014). Differences between suicide attempters and nonattempters in depressed older patients: depression severity, white-matter lesions, and cognitive functioning. The American Journal of Geriatric Psychiatry, 22, 7585.Google Scholar
Soysal, P., Isik, A. T., Buyukaydin, B. and Kazancioglu, R. (2014). A comparison of end-stage renal disease and alzheimer's disease in the elderly through a comprehensive geriatric assessment. International Urology and Nephrology, 46, 16271632.Google Scholar
Soysal, P., Isik, A. T., Usarel, C., Kaya, D., Ellidokuz, H. and Grossberg, G. T. (2016). Validity and reliability of ‘AM SAD’, a short geriatric depression screening tool, in Turkish elderly people. Bulletin of Clinical Psychopharmacology, 26, 175–80.Google Scholar
Uluşahin, A., Başoğlu, M. and Paykel, E. S. (1994). A cross-cultural comparative study of depressive symptoms in British and Turkish clinical samples. Social Psychiatry and Psychiatric Epidemiology, 29, 3139.Google Scholar
van Bokhorst-de van der Schueren, M. A., Lonterman-Monasch, S., de Vries, O. J., Danner, S. A., Kramer, M. H. and Muller, M. (2013). Prevalence and determinants for malnutrition in geriatric outpatients. Clinical Nutrition, 32, 10071011.Google Scholar
van Marwijk, H. W., Wallace, P., de Bock, G. H., Hermans, J., Kaptein, A. A. and Mulder, J. D. (1995). Evaluation of the feasibility, reliability and diagnostic value of shortened versions of the geriatric depression scale. The British Journal of General Practice, 45, 195199.Google Scholar
Vieira, E. R., Brown, E. and Raue, P. (2014). Depression in older adults: screening and referral. Journal of Geriatric Physical Therapy, 37, 2430.Google Scholar
Wauters, M. et al. (2016). Polypharmacy in a Belgian cohort of community-dwelling oldest old (80+). Acta Clinica Belgica, 71, 158166.Google Scholar
Yesavage, J. A. et al. (1982–1983). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research, 17, 3749.Google Scholar