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Mild cognitive impairment and deficits in instrumental activities of daily living: a systematic review

Jekel, Katrin ; Damian, Marinella ; Wattmo, Carina ; Hausner, Lucrezia ; Bullock, Roger ; Connelly, Peter J. ; Dubois, Bruno ; Eriksdotter, Maria ; Ewers, Michael ; Graessel, Elmar ; Kramberger, Milica G. ; Law, Emma ; Mecocci, Patrizia ; Molinuevo, José L. ; Nygård, Louise ; Olde-Rikkert, Marcel GM ; Orgogozo, Jean-Marc ; Pasquier, Florence ; Peres, Karine ; Salmon, Eric ; Sikkes, Sietske AM ; Sobow, Tomasz ; Spiegel, René ; Tsolaki, Magda ; Winblad, Bengt ; Frölich, Lutz

In: Alzheimer's research & therapy, 7 (2015), Nr. 17. pp. 1-20. ISSN 1758-9193

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Download (598kB) | Lizenz: Creative Commons LizenzvertragMild cognitive impairment and deficits in instrumental activities of daily living: a systematic review by Jekel, Katrin ; Damian, Marinella ; Wattmo, Carina ; Hausner, Lucrezia ; Bullock, Roger ; Connelly, Peter J. ; Dubois, Bruno ; Eriksdotter, Maria ; Ewers, Michael ; Graessel, Elmar ; Kramberger, Milica G. ; Law, Emma ; Mecocci, Patrizia ; Molinuevo, José L. ; Nygård, Louise ; Olde-Rikkert, Marcel GM ; Orgogozo, Jean-Marc ; Pasquier, Florence ; Peres, Karine ; Salmon, Eric ; Sikkes, Sietske AM ; Sobow, Tomasz ; Spiegel, René ; Tsolaki, Magda ; Winblad, Bengt ; Frölich, Lutz underlies the terms of Creative Commons Attribution 3.0 Germany

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Abstract

Introduction: There is a growing body of evidence that subtle deficits in instrumental activities of daily living (IADL) may be present in mild cognitive impairment (MCI). However, it is not clear if there are IADL domains that are consistently affected across patients with MCI. In this systematic review, therefore, we aimed to summarize research results regarding the performance of MCI patients in specific IADL (sub)domains compared with persons who are cognitively normal and/or patients with dementia. Methods: The databases PsycINFO, PubMed and Web of Science were searched for relevant literature in December 2013. Publications from 1999 onward were considered for inclusion. Altogether, 497 articles were retrieved. Reference lists of selected articles were searched for potentially relevant articles. After screening the abstracts of these 497 articles, 37 articles were included in this review. Results: In 35 studies, IADL deficits (such as problems with medication intake, telephone use, keeping appointments, finding things at home and using everyday technology) were documented in patients with MCI. Financial capacity in patients with MCI was affected in the majority of studies. Effect sizes for group differences between patients with MCI and healthy controls were predominantly moderate to large. Performance-based instruments showed slight advantages (in terms of effect sizes) in detecting group differences in IADL functioning between patients with MCI, patients with Alzheimer’s disease and healthy controls. Conclusion: IADL requiring higher neuropsychological functioning seem to be most severely affected in patients with MCI. A reliable identification of such deficits is necessary, as patients with MCI with IADL deficits seem to have a higher risk of converting to dementia than patients with MCI without IADL deficits. The use of assessment tools specifically designed and validated for patients with MCI is therefore strongly recommended. Furthermore, the development of performance-based assessment instruments should be intensified, as they allow a valid and reliable assessment of subtle IADL deficits in MCI, even if a proxy is not available. Another important point to consider when designing new scales is the inclusion of technology-associated IADL. Novel instruments for clinical practice should be time-efficient and easy to administer.

Document type: Article
Journal or Publication Title: Alzheimer's research & therapy
Volume: 7
Number: 17
Publisher: BioMed Central
Place of Publication: London
Date Deposited: 09 Dec 2015 09:47
Date: 2015
ISSN: 1758-9193
Page Range: pp. 1-20
Faculties / Institutes: Service facilities > Zentralinstitut für Seelische Gesundheit
Service facilities > Netzwerk Alternsforschung
DDC-classification: 610 Medical sciences Medicine
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