Patrício Costa|Nadine Correia Santos|Pedro Cunha|Jorge Cotter|Nuno Sousa
The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing
University of Minho|University of Minho|University of Minho|Centro Hospitalar de Trás os Montes e Alto Douro|University of Minho|Centro Hospitalar de Trás os Montes e Alto Douro|University of Minho
main focus study illustrate applicability multiple correspondence analysis mca detecting representing underlying structures large datasets used investigate cognitive ageing principal component analysis pca used obtain main cognitive dimensions mca used detect explore relationships cognitive clinical physical lifestyle variables two pca dimensions identified general cognitionexecutive function memory two mca dimensions retained poorer cognitive performance associated older age less school years unhealthier lifestyle indicators presence pathology first mca dimension indicated clustering generalexecutive function lifestyle indicators education second association memory clinical parameters age clustering analysis object scores method used identify groups sharing similar characteristics weaker cognitive clusters terms memory executive function comprised individuals characteristics contributing higher mca dimensional mean score age less education presence indicators unhealthier lifestyle habits andor clinical pathologies mca provided powerful tool explore complex ageing data covering multiple diverse variables showing relationship exists variables related offering statistical results seen analytically visually