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跌倒风险预测的新方法。

New methods for fall risk prediction.

作者信息

Ejupi Andreas, Lord Stephen R, Delbaere Kim

机构信息

aAssistive Healthcare Information Technology Group, Austrian Institute of Technology, Vienna, Austria bVienna University of Technology, Vienna, Austria cNeuroscience Research Australia, University of New South Wales, Sydney, Australia.

出版信息

Curr Opin Clin Nutr Metab Care. 2014 Sep;17(5):407-11. doi: 10.1097/MCO.0000000000000081.

Abstract

PURPOSE OF REVIEW

Accidental falls are the leading cause of injury-related death and hospitalization in old age, with over one-third of the older adults experiencing at least one fall or more each year. Because of limited healthcare resources, regular objective fall risk assessments are not possible in the community on a large scale. New methods for fall prediction are necessary to identify and monitor those older people at high risk of falling who would benefit from participating in falls prevention programmes.

RECENT FINDINGS

Technological advances have enabled less expensive ways to quantify physical fall risk in clinical practice and in the homes of older people. Recently, several studies have demonstrated that sensor-based fall risk assessments of postural sway, functional mobility, stepping and walking can discriminate between fallers and nonfallers.

SUMMARY

Recent research has used low-cost, portable and objective measuring instruments to assess fall risk in older people. Future use of these technologies holds promise for assessing fall risk accurately in an unobtrusive manner in clinical and daily life settings.

摘要

综述目的

意外跌倒是老年人与伤害相关死亡和住院的主要原因,每年超过三分之一的老年人至少经历一次或更多次跌倒。由于医疗资源有限,在社区大规模进行常规客观的跌倒风险评估是不可能的。需要新的跌倒预测方法来识别和监测那些跌倒风险高的老年人,他们将从参与预防跌倒计划中受益。

最新发现

技术进步使得在临床实践和老年人家庭中以更低成本量化身体跌倒风险成为可能。最近,几项研究表明,基于传感器的对姿势摇摆、功能活动能力、步幅和行走的跌倒风险评估能够区分跌倒者和非跌倒者。

总结

最近的研究使用了低成本、便携式且客观的测量仪器来评估老年人的跌倒风险。这些技术的未来应用有望在临床和日常生活环境中以不引人注意的方式准确评估跌倒风险。

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