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Original Articles

Comparison of seven fall risk assessment tools in community-dwelling Korean older women

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Pages 421-429 | Received 08 May 2015, Accepted 04 Apr 2016, Published online: 02 May 2016

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Taekyoung Kim, Xiaoqun Yu & Shuping Xiong. (2024) A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect. Ergonomics 67:1, pages 50-68.
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Articles from other publishers (15)

Juliana Pennone, Natasha Fioretto Aguero, Daniel Marczuk Martini, Luis Mochizuki & Alexandre Alarcon do Passo Suaide. (2024) Fall prediction in a quiet standing balance test via machine learning: Is it possible?. PLOS ONE 19:4, pages e0296355.
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Daniel Jiménez-Lupión, Luis Chirosa-Ríos, Darío Martínez-García, Manuel Rodríguez-Pérez & Daniel Jerez-Mayorga. (2023) Effects of Power Training on Functional Capacity Related to Fall Risk in Older Adults: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation 104:9, pages 1514-1525.
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Lisa McGarrigle, Yang Yang, Reena Lasrado, Matthew Gittins & Chris Todd. (2023) A systematic review and meta-analysis of the measurement properties of concerns-about-falling instruments in older people and people at increased risk of falls. Age and Ageing 52:5.
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Xiaoqun Yu, Seonghyeok Park & Shuping Xiong. (2023) Trunk range of motion: A wearable sensor-based test protocol and indicator of fall risk in older people. Applied Ergonomics 108, pages 103963.
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Arzu Demircioğlu, Ülkü Kezban Şahin & Sevim Acaröz. (2022) Discriminative Ability of the Four Balance Measures for Previous Fall Experience in Turkish Community-Dwelling Older Adults. Journal of Aging and Physical Activity 30:6, pages 980-986.
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Bo Sheng, Jianyu Zhao, Jing Tao, Yanxin Zhang, Chaoqun Duan & Jie Zhuang. (2022) Smart fall prediction paradigm for community-dwelling seniors through fitness screening protocols and machine learning. Measurement 200, pages 111584.
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Taekyoung Kim & Shuping Xiong. (2022) Effectiveness and Usability of a Novel Kinect-Based Tailored Interactive Fall Intervention System for Fall Prevention in Older People: A Preliminary Study. Frontiers in Public Health 10.
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Danique J.J. van Gulick, Sander I.B. Perry, Marike van der Leeden, Jolan G.M. van Beek, Cees Lucas & Martijn M. Stuiver. (2022) A Prediction Model for Falls in Community-Dwelling Older Adults in Podiatry Practices. Gerontology 68:11, pages 1214-1223.
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Hendrika de Clercq, Alida Naudé & Juan Bornman. (2020) Factors included in adult fall risk assessment tools (FRATs): a systematic review. Ageing and Society 41:11, pages 2558-2582.
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Muhamad Nurul Hisyam Yunus, Mohd Hafiidz Jaafar, Ahmad Sufril Azlan Mohamed, Nur Zaidi Azraai & Md. Sohrab Hossain. (2021) Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review. International Journal of Environmental Research and Public Health 18:16, pages 8342.
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Iza Faria-Fortini, Janaíne C. Polese, Christina D.C.M. Faria, Aline Alvim Scianni, Lucas R. Nascimento & Luci Fuscaldi Teixeira-Salmela. (2021) Fall Efficacy Scale–International cut-off score discriminates fallers and non-fallers individuals who have had stroke. Journal of Bodywork and Movement Therapies 26, pages 167-173.
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Takeshi Kera, Hisashi Kawai, Junta Takahashi, Hirohiko Hirano, Yutaka Watanabe, Yoshinori Fujiwara, Kazushige Ihara, Hunkyung Kim & Shuichi Obuchi. (2020) Association between ground reaction force in sit-to-stand motion and falls in community-dwelling older Japanese individuals. Archives of Gerontology and Geriatrics 91, pages 104221.
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Xiaoqun Yu & Shuping Xiong. (2019) A Dynamic Time Warping Based Algorithm to Evaluate Kinect-Enabled Home-Based Physical Rehabilitation Exercises for Older People. Sensors 19:13, pages 2882.
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Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu & Shuping Xiong. (2018) Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People. Scientific Reports 8:1.
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Ruth C Teh, Anne Wilson, Damith Ranasinghe & Renuka Visvanathan. (2017) Use and clinical efficacy of standard and health information technology fall risk assessment tools. Australasian Journal on Ageing 36:4, pages 327-331.
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