This paper is in the following e-collection/theme issue:

mHealth for Screening (296) Falls Prevention in the Elderly (101) Usability of Apps and User Perceptions of mHealth (1188) Design and Formative Evaluation of Mobile Apps (809)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23663, first published .
A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

Authors of this article:

Devinder Kaur Ajit Singh1 Author Orcid Image ;   Jing Wen Goh1 Author Orcid Image ;   Muhammad Iqbal Shaharudin1, 2 Author Orcid Image ;   Suzana Shahar1 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Strutz N, Brodowski H, Kiselev J, Heimann-Steinert A, Müller-Werdan U. App-Based Evaluation of Older People’s Fall Risk Using the mHealth App Lindera Mobility Analysis: Exploratory Study. JMIR Aging 2022;5(3):e36872 View
  2. Bube B, Zanón B, Lara Palma A, Klocke H. Wearable Devices in Diving: Scoping Review. JMIR mHealth and uHealth 2022;10(9):e35727 View
  3. Mustafa Khalid N, Ponvel P, Ibrahim A, Mohd Safien A, Md Fadzil N, Singh D, Mat Ludin A, Ibrahim N, Subramaniam P, Haron H, Rajikan R, Vanoh D, Shahar S. Development and Evaluation of Content Validity and Acceptance of a Multidomain Intervention Module for Reversal of Cognitive Frailty Among Older Adults. Clinical Interventions in Aging 2024;Volume 19:1189 View
  4. Alves S, Temme S, Motamedi S, Kura M, Weber S, Zeichen J, Pommer W, Baumgart A. Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis. JMIR Aging 2024;7:e55681 View
  5. Leite M, Silva A, Funghetto S, de Lima L, Mezavila Abdelmur S, Pinheiro H, de Souza Silva C, Dutra M, Stival M. Home-Based Exercise and Fall Prevention in Older Adults: Development, Validation and Usability of the Mais Equilíbrio Mobile App. JMIR Aging 2025;8:e80724 View
  6. Ooi T, Rivan N, Shahar S, Singh D. Dynamic transitions in falls and physical activity among older adults in Malaysia: a longitudinal multi-state analysis. BMC Public Health 2025;25(1) View
  7. Raeder K, Strutz N, Kuntz S, Strube-Lahmann S, Schwesig R, Müller-Werdan U, Lahmann N. Using 3D skeleton tracking for gait analysis in older adults compared to a kinect-based mobility analysis system. BMC Geriatrics 2025 View

Books/Policy Documents

  1. Kemmler W. Artificial Intelligence in Sports, Movement, and Health. View

Conference Proceedings

  1. Garimella K, Pillai A. 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). Comparison of Fall Risk Prediction of Patients using Tree Algorithms implemented on a wearable belt View