five

13EVAL_Older_Adults_FALLS

收藏
DataCite Commons2026-05-06 更新2026-05-07 收录
下载链接:
https://zenodo.org/doi/10.5281/zenodo.19665098
下载链接
链接失效反馈
官方服务:
资源简介:
The CSV file contains data extracted from the 13EVAL study, collected from older adults living in the community. In the order of columns 1 to 22, it includes the following data: Subject number // Age (in years) // Gender (F, female; M, male) // Weight (kg) // Heigt (m) // BMI // Number of years of education (years) Number of falls: number of fall(s) in the past year Fall_Risk_Score: This score ranges from 1 to 12 and defines a level of risk of falling. It is determined using a multifactorial screening tool: the “Score de Risque de Chute des Centres d’Examen de Santé” (SRC-CES). Fall_Risk_Cat: There are hree categories of fall risk: low (0-3), moderate (4-6), and high (7-12). Spontaneous_Walking_Speed (m/s) MoCA_Score_ADJ (score range: 0-30): The global cognition of the participants was measured using the MoCA. MoCA scores were adjusted for educational level according to the recommendations of Nasreddine et al. (2005). TMT_A (s) // TMT_B (s): execution time measured in part A and B of the Trail Making Test respectively. Delta_TMT (s): TMT_B - TMT_A 6MWT_ST (s) // 6MWT_DT (s): mean of execution times measured on two trials in the simple-task and double-task conditions of a 6-meters walking test. WTMT_N (s) // WTMT_A (s) // WTMT_B (s): execution time measured in part N, A and B of the Walking Trail Making Test respectively. TMT_A_Norm_Amieva: Execution times measured in part A were compared to the normative standard of the TMT-A established by Amieva et al. (2009). These norms consider the person’s gender, age, and level of education. Using the provided percentiles, four normative classes were defined: deficient (below the 10th), inferior (between the 10th and 25th), average (from the 25th to the 75th), and superior (above the 75th). TMT_B_Norm_Amieva: Execution times measured in part B were compared to the normative standard of the TMT-B established by Amieva et al. (2009). See above.
提供机构:
Zenodo
创建时间:
2026-04-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作