| Autor: |
Eleanor Hayes‐Larson, Taylor M. Mobley, Dan Mungas, Marissa J. Seamans, M. Maria Glymour, Paola Gilsanz, Charles DeCarli, Rachel A. Whitmer, Elizabeth Rose Mayeda |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Alzheimer'sdementia : the journal of the Alzheimer's Association. 18(11) |
| ISSN: |
1552-5279 |
| Popis: |
Most dementia studies are not population-representative; statistical tools can be applied to samples to obtain critically-needed population-representative estimates, but are not yet widely used.We pooled data from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) study and the California Behavioral Risk Factor Surveillance System (CA-BRFSS), a population-representative study. Using weights accounting for sociodemographic/health differences between KHANDLE and CA-BRFSS, we estimated cognitive impairment prevalence and age- and sex-adjusted racial/ethnic inequalities in California adults 65+ without prior dementia diagnosis.After weighting KHANDLE, the estimated cognitive impairment prevalence in California was 20.3% (95% confidence interval 17.8-23.0); unweighted prevalence was 24.8% (23.1%-26.6%). Inequalities (larger prevalences) were observed among Black and Asian groups versus whites.We used a novel statistical approach to estimate population-representative cognitive impairment prevalence and inequalities. Such statistical tools can help obtain population-representative estimates from existing studies and inform efforts to reduce racial/ethnic disparities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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