Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions
Autor: | Gloria C. Chi, Eric B. Larson, Annette L. Fitzpatrick, David C. Atkins, Janice F. Bell, Lesley Steinman, Robin L. Whitney, Catherine Copeland, Francine Grodstein, Lucinda L. Bryant, Mark Snowden, Rebecca G. Logsdon |
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Rok vydání: | 2014 |
Předmět: |
Gerontology
Epidemiology Datasets as Topic Comorbidity Cellular and Molecular Neuroscience Developmental Neuroscience medicine Humans Dementia Medical diagnosis Longitudinal cohort Disease management (health) Cognitive impairment Internet Health Policy Cognition medicine.disease United States Data resources Europe Psychiatry and Mental health Sample size determination Data Interpretation Statistical Chronic Disease Neurology (clinical) Geriatrics and Gerontology Cognition Disorders Psychology |
Zdroj: | Alzheimer's & Dementia. 11:622-638 |
ISSN: | 1552-5279 1552-5260 |
Popis: | Background Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities. Results 117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries. Conclusions Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs. |
Databáze: | OpenAIRE |
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