Title |
Predicting dementia using socio-demographic characteristics and the Free and Cued Selective Reminding Test in the general population
|
---|---|
Published in |
Alzheimer's Research & Therapy, March 2017
|
DOI | 10.1186/s13195-016-0230-x |
Pubmed ID | |
Authors |
Thibault Mura, Marieta Baramova, Audrey Gabelle, Sylvaine Artero, Jean-François Dartigues, Hélène Amieva, Claudine Berr |
Abstract |
Our study aimed to determine whether the consideration of socio-demographic features improves the prediction of Alzheimer's dementia (AD) at 5 years when using the Free and Cued Selective Reminding Test (FCSRT) in the general older population. Our analyses focused on 2558 subjects from the prospective Three-City Study, a cohort of community-dwelling individuals aged 65 years and over, with FCSRT scores. Four "residual scores" and "risk scores" were built that included the FCSRT scores and socio-demographic variables. The predictive performance of crude, residual and risk scores was analyzed by comparing the areas under the ROC curve (AUC). In total, 1750 subjects were seen 5 years after completing the FCSRT. AD was diagnosed in 116 of them. Compared with the crude free-recall score, the predictive performances of the residual score and of the risk score were not significantly improved (AUC: 0.83 vs 0.82 and 0.88 vs 0.89 respectively). Using socio-demographic features in addition to the FCSRT does not improve its predictive performance for dementia or AD. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 46 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 17% |
Student > Ph. D. Student | 8 | 17% |
Student > Master | 6 | 13% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Other | 8 | 17% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 11 | 23% |
Medicine and Dentistry | 9 | 19% |
Neuroscience | 4 | 9% |
Agricultural and Biological Sciences | 2 | 4% |
Computer Science | 2 | 4% |
Other | 9 | 19% |
Unknown | 10 | 21% |