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Title:
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SEARCHING FOR FALLS TRAJECTORIES OF THE ELDERLY |
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Author(s):
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Ndiaye Amadou Maguette Djiogomaye, Michel Harel, Joseph Ngatchou-Wandji, Justine Trimouillas, Nassima Toumi, Caroline Gayot, Sophie Boyer and Achille Edem Tchalla |
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ISBN:
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978-989-8704-50-4 |
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Editors:
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Piet Kommers, Mário Macedo, Guo Chao Peng and Ajith Abraham |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Geriatrics, Fall, Elderly, Mathematical Modeling, Longitudinal Data |
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Type:
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Full |
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First Page:
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123 |
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Last Page:
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130 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The fall of the elderly is of great interest in geriatric. It can be linked to other diseases that make the elderly person frailer. Using Group Based Trajectory Modeling (GBTM) and K-means for longitudinal data (KML), we were able to find the trajectories that characterize our study population. Our participants were initially divided in two, randomly. We explored the trajectories that characterize the control group and the intervention group. We found five with the KML and four with the GBTM in the total study population and in each group. One of the groups is the intervention group and the other is the control group. The trajectories obtained in the intervention group testify to the impact of home-based interventions. The effectiveness of post-fall prevention is observed in both groups. However, the size of the sample and the limited number of falls recorded are a hindrance to the generalization of the results of the study. |
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