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Centre for Policy on Ageing | |
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| Alternative statistical approaches to identifying dementia in a community-dwelling sample | | Author(s) | M Kuchibhatla, G G Fillenbaum |
| Journal title | Aging & Mental Health, vol 7, no 5, September 2003 |
| Pages | pp 383-389 |
| Source | http://www.tandfonline.com |
| Keywords | Dementia ; Living in the community ; Statistics ; United States of America. |
| Annotation | A sub-sample of the Duke University Established Populations for Epidemiologic Studies of the Elderly (EPESE) is used to compare two analytical approaches: logistic regression (which focuses on identifying specific characteristics, predictive here of dementia), and recursive partitioning methods using tree-based models (which permit identification of the characteristics of those groups with high dementing disorder). In the stepwise logistics regression model which included as potential predictors gender, age, history of chronic health conditions, scales of basic and instrumental activities of daily living (IADLs), and cognitive status, only IADL and cognitive status were significant predictors, with cognitive status the most significant factor. The classification tree approach also identified cognitive status as the most important criterion for dementia. Among those without cognitive impairment, older age was a risk factor, confirming previous findings in the literature. Among the cognitively impaired, IADL was an important risk factor. Those with 5 or more IADL problems were further classified into two risk groups, based on number of IADL problems. While tree-based models encourage identification of groups at risk, logistic regression encourages targeting of specific characteristics. (RH). |
| Accession Number | CPA-031007236 A |
| Classmark | EA: K4: 3Y: 7T |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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