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Baseline participant characteristics by fall status (n = 2901).

NIAID Data Ecosystem2026-05-01 收录

跌倒风险评估

健康基线特征

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https://figshare.com/articles/dataset/Baseline_participant_characteristics_by_fall_status_n_2901_/24937429 数据链接链接失效反馈

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Baseline participant characteristics by fall status (n = 2901).

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创建时间：

2024-01-03

老年人健康

跌倒风险评估

Background: Falls are the most common cause of injury and hospitalization and one of the principal causes of death and disability in older adults worldwide. This study aimed to determine

DataCite Commons2020-09-02 更新80

Comparison of fall risk metrics between the Markov chain and brute force methods.

跌倒风险评估

生物医学方法比较

The % Match column gives the percentage of Markov chain values that were within one standard deviation of the corresponding brute force values. The median error column give the median of the absolute

NIAID Data Ecosystem30

S1 Dataset -

骨关节炎康复

跌倒风险评估

Background Knee osteoarthritis (KOA), one of the most common musculoskeletal diseases in older adults, is associated with a high incidence of falls. Similarly, toe grip strength (TGS) is associated wi

NIAID Data Ecosystem30

Older U.S. Adult Physical Activity

年龄健康行为研究

跌倒风险评估

To understand the effects of barriers and facilitators of physical activity (PA) in older adults, U.S. participants (N = 667, age range 65-92) were surveyed using online research panels. The importanc

NIAID Data Ecosystem40

Fall incidence, circumstances and injuries by fall status for both cohorts.

跌倒风险评估

中风后跌倒研究

*Other, Stroke group: squatting (5); stepping on chair/step ladder (2). †Other, Control group: running (4); hiking (2); pushups (1); yoga (1); carrying a ladder (1).

NIAID Data Ecosystem30

Baseline participant characteristics by fall status (n = 2901).

资源简介：

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