PDF(Pubmed)
Abstract：
BACKGROUND: Falls are a major health problem among older adults. The risk of falling can be increased by polypharmacy, vision impairment, high blood pressure, environmental home hazards, fear of falling, and changes in the function of musculoskeletal and sensory systems that are associated with aging. Moreover, individuals who experienced previous falls are at higher risk. Nevertheless, falls can be prevented by screening for known risk factors.
OBJECTIVE: The objective of our study was to develop a multifactorial, instrumented, screening tool for fall risk, according to the key risk factors for falls, among Portuguese community-dwelling adults aged 50 years or over and to prospectively validate a risk prediction model for the risk of falling.
METHODS: This prospective study, following a convenience sample method, will recruit community-dwelling adults aged 50 years or over, who stand and walk independently with or without walking aids in parish councils, physical therapy clinics, senior\'s universities, and other facilities in different regions of continental Portugal. The FallSensing screening tool is a technological solution for fall risk screening that includes software, a pressure platform, and 2 inertial sensors. The screening includes questions about demographic and anthropometric data, health and lifestyle behaviors, a detailed explanation about procedures to accomplish 6 functional tests (grip strength, Timed Up and Go, 30 seconds sit to stand, step test, 4-Stage Balance test \"modified,\" and 10-meter walking speed), 3 questionnaires concerning environmental home hazards, and an activity and participation profile related to mobility and self-efficacy for exercise.
RESULTS: The enrollment began in June 2016 and we anticipate study completion by the end of 2018.
CONCLUSIONS: The FallSensing screening tool is a multifactorial and evidence-based assessment which identifies factors that contribute to fall risk. Establishing a risk prediction model will allow preventive strategies to be implemented, potentially decreasing fall rate.
UNASSIGNED: RR1-10.2196/10304.
OBJECTIVE: The objective of our study was to develop a multifactorial, instrumented, screening tool for fall risk, according to the key risk factors for falls, among Portuguese community-dwelling adults aged 50 years or over and to prospectively validate a risk prediction model for the risk of falling.
METHODS: This prospective study, following a convenience sample method, will recruit community-dwelling adults aged 50 years or over, who stand and walk independently with or without walking aids in parish councils, physical therapy clinics, senior\'s universities, and other facilities in different regions of continental Portugal. The FallSensing screening tool is a technological solution for fall risk screening that includes software, a pressure platform, and 2 inertial sensors. The screening includes questions about demographic and anthropometric data, health and lifestyle behaviors, a detailed explanation about procedures to accomplish 6 functional tests (grip strength, Timed Up and Go, 30 seconds sit to stand, step test, 4-Stage Balance test \"modified,\" and 10-meter walking speed), 3 questionnaires concerning environmental home hazards, and an activity and participation profile related to mobility and self-efficacy for exercise.
RESULTS: The enrollment began in June 2016 and we anticipate study completion by the end of 2018.
CONCLUSIONS: The FallSensing screening tool is a multifactorial and evidence-based assessment which identifies factors that contribute to fall risk. Establishing a risk prediction model will allow preventive strategies to be implemented, potentially decreasing fall rate.
UNASSIGNED: RR1-10.2196/10304.
摘要：
背景：跌倒是老年人的主要健康问题。通过多重用药可以增加跌倒的风险，视力障碍,高血压,家庭环境的危害，害怕跌倒，以及与衰老相关的肌肉骨骼和感觉系统功能的变化。此外，以前经历过跌倒的人风险较高。然而，可以通过筛查已知的危险因素来预防跌倒。
目的：我们研究的目的是开发一种多因素，仪表化,跌倒风险筛查工具，根据跌倒的关键风险因素，在葡萄牙社区居住的50岁或以上的成年人中，并前瞻性地验证跌倒风险预测模型。
方法：这项前瞻性研究，遵循方便的示例方法，将招募50岁或以上的社区居民，在教区议会中有或没有助行器的情况下独立站立和行走，物理治疗诊所,高级大学，以及葡萄牙大陆不同地区的其他设施。FallSensing筛查工具是一种用于跌倒风险筛查的技术解决方案，包括软件，一个压力平台，和2个惯性传感器。筛查包括有关人口统计和人体测量数据的问题，健康和生活方式行为，关于完成6项功能测试(握力、定时和去，30秒坐着站着，阶跃测试,4阶段平衡测试“已修改,\“和10米的步行速度)，3份关于家庭环境危害的问卷，以及与运动和自我效能感相关的活动和参与概况。
结果：2016年6月开始招生，我们预计2018年底完成研究。
结论：FallSensing筛查工具是一种多因素且以证据为基础的评估，可识别导致跌倒风险的因素。建立风险预测模型将允许实施预防性策略，潜在的下降率。
■RR1-10.2196/10304。
目的：我们研究的目的是开发一种多因素，仪表化,跌倒风险筛查工具，根据跌倒的关键风险因素，在葡萄牙社区居住的50岁或以上的成年人中，并前瞻性地验证跌倒风险预测模型。
方法：这项前瞻性研究，遵循方便的示例方法，将招募50岁或以上的社区居民，在教区议会中有或没有助行器的情况下独立站立和行走，物理治疗诊所,高级大学，以及葡萄牙大陆不同地区的其他设施。FallSensing筛查工具是一种用于跌倒风险筛查的技术解决方案，包括软件，一个压力平台，和2个惯性传感器。筛查包括有关人口统计和人体测量数据的问题，健康和生活方式行为，关于完成6项功能测试(握力、定时和去，30秒坐着站着，阶跃测试,4阶段平衡测试“已修改,\“和10米的步行速度)，3份关于家庭环境危害的问卷，以及与运动和自我效能感相关的活动和参与概况。
结果：2016年6月开始招生，我们预计2018年底完成研究。
结论：FallSensing筛查工具是一种多因素且以证据为基础的评估，可识别导致跌倒风险的因素。建立风险预测模型将允许实施预防性策略，潜在的下降率。
■RR1-10.2196/10304。
