ArticleJournal of aging research2013
The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing.
Article in Journal of aging research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
56 citing papers in PubMed.
- Conditions for the Successful Integration of an eHealth Tool "StopBlues" Into Community-Based Interventions in France: Results From a Multiple Correspondence Analysis.Journal of medical Internet research · 2022Trial
- Integrating social determinants of health and genetic risk in disease risk models.American journal of human genetics · 2026Article
- Strategy for Hepatitis B and C Virus Testing Campaigns Through Web Services and Digital Advertising in Japan: Nationwide Cross-Sectional Study With Correspondence Analysis.Journal of medical Internet research · 2026Article
- Multidimensional Profiles of Recovery: Using Correspondence Analysis to Visualize Physiotherapy Outcomes in Patients with Chronic Low Back Pain.Journal of clinical medicine · 2026Article
- Unveiling the complex landscape of successful weight loss: Perceived consequences and spontaneous self-concept insights.Journal of health psychology · 2026Article
- Multidimensional analysis of costs and outcomes in a Colombian cohort of pediatricHuman vaccines & immunotherapeutics · 2025Article
- Dietary patterns and socioeconomic disadvantage: an analysis of food consumption patterns and their determinants in Cochabamba, Bolivia.BMC global and public health · 2025Article
- Reconditioning Emotional Responses With the Break Method: Pilot Quantitative Study.JMIR formative research · 2025Article
- A Scalable Framework to Integrate Social Determinants of Health into Disease Risk Models using Biobank Survey Data.medRxiv : the preprint server for health sciences · 2025Article
- Prevalence of central line-associated bloodstream infections in patients with cancer and subgroup analysis using propensity score matching: A nationwide multicenter study in Italy.International journal of nursing sciences · 2025Article
- Investigating Associations Between Prognostic Factors in Gliomas: Unsupervised Multiple Correspondence Analysis.JMIR bioinformatics and biotechnology · 2025Article
- A multiple correspondence analysis of the fear of falling, sociodemographic, physical and mental health factors in older adults.Scientific reports · 2025Article
- The Effect of Nutrition, Physical Activity, and Sleep Pattern on Success in Medical Students.Medical science educator · 2025Article
- Towards Detecting Associations of Canine Astrovirus and Caliciviruses with Health and Living Characteristics of Dogs in Greece.Pathogens (Basel, Switzerland) · 2025Article
- Marketing strategies for promoting workplace hepatitis B and C virus testing: a cross-sectional study using correspondence analysis in Japan.Frontiers in public health · 2025Article
- Towards carbon neutrality: mapping mass retrofit opportunities in Cambridge, UK.Royal Society open science · 2025Article
- Causal Forest Machine Learning Analysis of Parkinson's Disease in Resting-State Functional Magnetic Resonance Imaging.Tomography (Ann Arbor, Mich.) · 2024Article
- Which support is provided in which country? Patterns among older adults in Europe.European journal of ageing · 2024Article
- Investigating the effect of prescribing status and patient characteristics on the therapeutic outcomes in patients with diabetes using a leftover drug adjustment protocol.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024Article
- Latent profile analysis for health-related quality of life, sleep quality, morning and evening type, and internet addiction among medical students.Scientific reports · 2023Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main focus of this study was to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing underlying structures in large datasets used to investigate cognitive ageing. Principal component analysis (PCA) was used to obtain main cognitive dimensions, and MCA was used to detect and explore relationships between cognitive, clinical, physical, and lifestyle variables. Two PCA dimensions were identified (general cognition/executive function and memory), and two MCA dimensions were retained. Poorer cognitive performance was associated with older age, less school years, unhealthier lifestyle indicators, and presence of pathology. The first MCA dimension indicated the clustering of general/executive function and lifestyle indicators and education, while the second association was between memory and clinical parameters and age. The clustering analysis with object scores method was used to identify groups sharing similar characteristics. The weaker cognitive clusters in terms of memory and executive function comprised individuals with characteristics contributing to a higher MCA dimensional mean score (age, less education, and presence of indicators of unhealthier lifestyle habits and/or clinical pathologies). MCA provided a powerful tool to explore complex ageing data, covering multiple and diverse variables, showing if a relationship exists and how variables are related, and offering statistical results that can be seen both analytically and visually.
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Registered trials
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