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Citing this Article

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Published on 02.08.18 in Vol 7, No 8 (2018): August

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

Works citing "Multifactorial Screening Tool for Determining Fall Risk in Community-Dwelling Adults Aged 50 Years or Over (FallSensing): Protocol for a Prospective Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/10304):

(note that this is only a small subset of citations)

  1. Pereira T, Cipriano I, Costa T, Saraiva M, Martins A. Exercise, ageing and cognitive function - Effects of a personalized physical exercise program in the cognitive function of older adults. Physiology & Behavior 2019;202:8
    CrossRef
  2. Martins AC, Guia D, Saraiva M, Pereira T. Effects of A “Modified” Otago Exercise Program on the Functional Abilities and Social Participation of Older Adults Living in the Community—The AGA@4life Model. International Journal of Environmental Research and Public Health 2020;17(4):1258
    CrossRef
  3. Silva J, Sousa I, Cardoso JS. Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. IEEE Journal of Biomedical and Health Informatics 2020;24(1):50
    CrossRef
  4. Ebihara S, Otsubo Y, Miyagi M. Role of physical therapists and aromatherapy for fall prevention in older people: A narrative review. Geriatrics & Gerontology International 2021;21(6):445
    CrossRef
  5. Nishchyk A, Chen W, Pripp AH, Bergland A. The Effect of Mixed Reality Technologies for Falls Prevention Among Older Adults: Systematic Review and Meta-analysis. JMIR Aging 2021;4(2):e27972
    CrossRef
  6. Lewis C, O’Caoimh R, Patton D, O’Connor T, Moore Z, Nugent LE. Utilisation of a Suite of Screening Tools to Determine Adverse Healthcare Outcomes in an Older Frail Population Admitted to a Community Virtual Ward. International Journal of Environmental Research and Public Health 2021;18(11):5601
    CrossRef
  7. Wang L, Song P, Cheng C, Han P, Fu L, Chen X, Yu H, Yu X, Hou L, Zhang Y, Guo Q. The Added Value of Combined Timed Up and Go Test, Walking Speed, and Grip Strength on Predicting Recurrent Falls in Chinese Community-dwelling Elderly. Clinical Interventions in Aging 2021;Volume 16:1801
    CrossRef
  8. Thapa R, Garikipati A, Shokouhi S, Hurtado M, Barnes G, Hoffman J, Calvert J, Katzmann L, Mao Q, Das R. Predicting Falls in Long-term Care Facilities: Machine Learning Study. JMIR Aging 2022;5(2):e35373
    CrossRef
  9. Nugraha S, Sabarinah S, Susilowati IH, Rahardjo TB. Intrinsic and Extrinsic Risk Factor for Fall among Community Dwelling Indonesian Elderly. Open Access Macedonian Journal of Medical Sciences 2022;10(B):619
    CrossRef
  10. Nugraha S, Prasetyo S, Susilowati IH, Rahardjo TBW, Coelho-Júnior HJ. Urban-Rural Dimension of Falls and Associated Risk Factors among Community-Dwelling Older Adults in West Java, Indonesia. Journal of Aging Research 2021;2021:1
    CrossRef
  11. Aguiar RN, Barcellos CM, Borges APO, Do Nascimento LCG. Impactos físicos em pessoas idosas após às quedas: uma revisão sistemática. Cuadernos de Educación y Desarrollo 2024;16(2 Edição Especial)
    CrossRef
  12. Pereira T, Cipriano I, Castanheira J. Effects of a Personalized Physical Exercise Program in the Ventricular-arterial Coupling of Older Adults. A Pilot Study. Artery Research 2020;26(1):56
    CrossRef
  13. Das S, Bagepally BS, Eerike M, Cherian JJ, Dasgupta S, Mathews G, Rao S. Performance in a Balance Test and Prediction of All-Cause Mortality in Community-Dwelling Elderly Ambulatory Individuals: A Systematic Review and Meta-analysis. Research on Aging 2024;
    CrossRef
  14. Pereira T, Santos F, Cipriano I. Effects of a Personalized Physical Exercise Program in the Arterial Stiffness in Older Adults. Artery Research 2019;25(1-2):57
    CrossRef