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The impact of depressive symptoms on health-related quality of life in patients with subjective cognitive decline, mild cognitive impairment, and Alzheimer's disease

Published online by Cambridge University Press:  31 August 2016

G. Pusswald
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
D. Moser
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
M. Pflüger
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
A. Gleiss
Affiliation:
Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria
E. Auff
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
E. Stögmann
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
P. Dal-Bianco
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
J. Lehrner*
Affiliation:
Department of Neurology, Medical University of Vienna, Vienna, Austria
*
Correspondence should be addressed to: Ass. Prof. Priv. Doz. Mag. Dr Johann Lehrner, Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, A-1097 Wien. Phone: 0043-1-40400-31090; Fax: 0043-1-40400-31410. Email: Johann.Lehrner@meduniwien.ac.at.

Abstract

Background:

Health-related quality of life (HRQOL) is an important issue in the context of dementia care. The purpose of this study was to investigate the association between HRQOL and depressive symptoms in patients with subjective cognitive decline (SCD) and subtypes of mild cognitive impairment (MCI) and Alzheimer´s disease (AD).

Methods:

In this cross-sectional, observational study, a control group and four experimental groups (SCD, non-amnestic MCI, amnesticMCI, AD) were compared. Neuropsychological measurers (NTBV) and psychological questionnaires were used for data collection.

Results:

The control group scored higher than patients with SCD, naMCI, aMCI, or AD for the Mental Health Component Score (MHCS) of the Short Form of the Health Survey (SF-36). The Physical Health Component Score (PHCS) of the SF-36 differed only between some groups. Furthermore, cognitive variables were more strongly associated with the physical aspects of HRQOL, whereas depressive symptoms were more strongly related with the mental aspects of HRQOL.

Conclusions:

HRQOL and depressive symptoms are closely related in patients with cognitive impairments. Therefore, it is of great importance to assess patients with subjective impairment carefully in terms of depressive symptoms.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2016 

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References

Andersen, C. K., Wittrup-Jensen, K. U., Lolk, A., Andersen, K. and Kragh-Sorensen, P. (2004). Ability to perform activities of daily living is the main factor affecting quality of life in patients with dementia. Health and Quality of Life Outcomes, 2, 52.Google Scholar
Banerjee, S. et al. (2009). What do we know about quality of life in dementia? A review of the emerging evidence on the predictive and explanatory value of disease specific measures of health related quality of life in people with dementia. International Geriatrics, 24, 1524.Google Scholar
Bruvik, F. K., Ulstein, I. D., Ranhoff, A. H. and Engedal, K. (2012). The quality of life of people with dementia and their family carers. Dementia and Geriatric Cognitive Disorders, 34, 714.Google Scholar
Bullinger, M. (2006). Methodological basis and aspects of quality of life. Deutsche Medizinische Wochenschrift, 131, S5S7.CrossRefGoogle ScholarPubMed
Bullinger, M. and Ravens-Sieberer, U. (2006). Quality of life and chronic conditions: the perspective of children and adolescents in rehabilitation. Praxis der Kinderpsychologie und Kinderpsychiatrie, 55, 2335.Google Scholar
Bullinger, M. et al. (2015). Evaluation of the American-English quality of life in short stature youth (QoLISSY) questionnaire in the United States. Health and Quality of Life Outcomes, 13, 43.Google Scholar
Carvalho, J. O., Tan, J. E., Springate, B. A. and Davis, J. D. (2013). Self-reported depressive syndromes in mild cognitive impairment and mild Alzheimer's disease. International Psychogeriatrics, 25, 439444.Google Scholar
Conde-Sala, J. L. et al. (2016). Effects of anosognosia and neuropsychiatric symptoms on the quality of life of patients with Alzheimer's disease: a 24-month follow-up study. International Journal of Geriatric Psychiatry, 31, 109119.Google Scholar
Dilling, H., Mombour, W. and Schmidt, M. H. (Eds.) (2000). International klassifikation psychischer störungen. ICD-Kapitel V (F). Klinische -Diagnostische Leitlinien. Bern: Huber.Google Scholar
Erk, S., Spottke, A., Meisen, A., Wagner, M., Walter, H. and Jessen, F. (2011). Evidence of neuronal compensation during episodic memory in subjective memory impairment. Archives of General Psychiatry, 68, 845852.Google 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.Google Scholar
Geschke, K., Fellgiebel, A., Laux, N., Schermuly, I. and Scheurich, A. (2013). Quality of life in dementia: impact of cognition and insight on applicability of the SF-36. The American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, 21, 646654.Google Scholar
Greenaway, M. C., Smith, G. E., Tangalos, E. G., Geda, Y. E. and Ivnik, R. J. (2009). Mayo older americans normative studies: factor analysis of an expanded neuropsychological battery. Clinical Neuropsychologist, 23, 720.Google Scholar
Hautzinger, M., Keller, F. and Kühner, C. (2006). Beck Depressions-Inventar (BDI-II), Revised edn. Frankfurt am Main: Harcourt Test Zentrale.Google Scholar
Jessen, F. et al. (2014a). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers & Dementia: The Journal of the Alzheimer's Association, 10, 844852.Google Scholar
Jessen, F. et al. (2014b). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 10, 844852.Google Scholar
Lehmann, A., Burkert, S., Daig, I., Glaesmer, H. and Brahler, E. (2011). Subjective underchallenge at work and its impact on mental health. International Archives of Occupational and Environmental Health, 84, 655664.Google Scholar
Lehrner, J., Maly, J., Gliess, A., Auff, E. and Dal-Bianco, P. (2007). Demenzdiagnostik mit Hilfe der vienna neuropsychologischen testbatterie. Psychologie in Österreich, 4&5, 358365.Google Scholar
Lehrner, J. et al. (2014). Subjective memory complaints, depressive symptoms and cognition in patients attending a memory outpatient clinic. International Psychogeriatrics / IPA, 26, 463473.Google Scholar
Lehrner, J. et al. (2015). Awareness of memory deficits in subjective cognitive decline, mild cognitive impairment, Alzheimer's disease and Parkinson's disease. International Psychogeriatrics / IPA, 27, 357366.Google Scholar
Logsdon, R. G., Gibbons, L. E., Mccurry, S. M. and Teri, L. (2002). Assessing quality of life in older adults with cognitive impairment. Psychosomatic Medicine, 64, 510519.Google Scholar
Maki, Y. et al. (2014). The impact of subjective memory complaints on quality of life in community-dwelling older adults. Psychogeriatrics: The Official Journal of the Japanese Psychogeriatric Society, 14, 175181.Google Scholar
Mckhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of department of health and human services task force on Alzheimer's disease. Neurology, 34, 939944.Google Scholar
Morimoto, S. S., Kanellopoulos, D., Manning, K. J., Alexopoulos, G. S. (2015). Diagnosis and treatment of depression and cognitive impairment in late life. Annals of the New York Academy of Sciences, 1345, 3646.Google Scholar
Nasreddine, Z. S. et al. (2005). The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatric Society, 53, 695699.Google Scholar
Petersen, R. C. (2005). Mild cognitive impairment: useful or not? Alzheimers & Dementia, 1, 510.CrossRefGoogle ScholarPubMed
Pusswald, G. et al. (2013). Prevalence of mild cognitive impairment subtypes in patients attending a memory outpatient clinic–comparison of two modes of mild cognitive impairment classification. Results of the Vienna conversion to dementia study. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 9, 366376.Google Scholar
Pusswald, G. et al. (2015). Health-related quality of life in patients with subjective cognitive decline and mild cognitive impairment and its relation to activities of daily living. Journal of Alzheimer's Disease: JAD, 47, 479486.CrossRefGoogle ScholarPubMed
Ready, R. E., Ott, B. R. and Grace, J. (2004). Patient versus informant perspectives of quality of life in mild cognitive impairment and Alzheimer's disease. International Journal of Geriatric Psychiatry, 19, 256265.Google Scholar
Regan, B. and Varanelli, L. (2013). Adjustment, depression, and anxiety in mild cognitive impairment and early dementia: a systematic review of psychological intervention studies. International Psychogeriatric, 25, 19631984.Google Scholar
Reid, L. M. and Maclullich, A. M. (2006). Subjective memory complaints and cognitive impairment in older people. Dementia and Geriatric Cognitive Disorders, 22, 471485.Google Scholar
Saß, H., Wittchen, H. U., Zaudig, M. and Houben, I. (2003). Diagnostisches und Statistisches Manual Psychischer Störungen - Textrevision - DSM-IV-TR. Göttingen: Hogrefe Verlag für Psychologie.Google Scholar
Scheef, L. et al. (2012). Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment. Neurology, 79, 13321339.Google Scholar
Seidemann, G., Franke, G. H., Salewski, C. and Morfeld, M. (2010). Geschelchtsspezifische unterschiede in der gesundheitsbezogenen lebensqualität einer älteren Bevölkerungsgruppe. Zeitschrift für Medizinsche Psychologie, 19, 311.Google Scholar
Shrestha, S. et al. (2015). Predictors of change in quality of life in older adults with generalized anxiety disorder. International psychogeriatrics / IPA, 27, 12071215.Google Scholar
Stasinopoulus, D. M. and Rigby, A. (2007). Generalized additive models for location scale and shape (GAMLSS). Journal of Statistical Software, 23, 146.Google Scholar
Teng, E., Tassniyom, K. and Lu, P. H. (2012). Reduced quality-of-life ratings in mild cognitive impairment: analyses of subject and informant responses. The American Journal of Geriatric Psychiatry, 20, 10161025.CrossRefGoogle ScholarPubMed
Ware, J. E. and Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473483.Google Scholar