Literature DB >> 34244801

Functional Reach Test, Single-Leg Stance Test, and Tinetti Performance-Oriented Mobility Assessment for the Prediction of Falls in Older Adults: A Systematic Review.

Humberto Omaña1, Kari Bezaire2, Kyla Brady2, Jayme Davies2, Nancy Louwagie2, Sean Power2, Sydney Santin2, Susan W Hunter1,2.   

Abstract

OBJECTIVE: The authors sought to systematically review the existing literature on the falls-related diagnostic test properties of the Functional Reach Test (FRT), single-leg stance test (SLST), and Tinetti Performance-Oriented Mobility Assessment (POMA) in older adults across settings and patient populations.
METHODS: The PubMed, EMBASE, and CINAHL databases were searched (inception-July 2020). Inclusion criteria were participants aged 60 years or more, prospectively recorded falls, and the reporting of falls-related predictive validity. Manuscripts not published in English were excluded. Methodological quality of reporting was assessed using the Tooth Scale.
RESULTS: Of 1071 studies reviewed, 21 met the inclusion criteria (12 POMA, 8 FRT, 6 SLST). Seven studies (58.3%) used a modified version of the POMA, and 3 (37.5%) used a modified FRT. For the outcome of any fall, the respective ranges of sensitivity and specificity were 0.076 to 0.615 and 0.695 to 0.97 for the POMA, 0.27 to 0.70 and 0.52 to 0.83 for the modified POMA, 0.73 and 0.88 for the FRT, 0.47 to 0.682 and 0.59 to 0.788 for the modified FRT, and 0.51 and 0.61 for the SLST in community-dwelling older adults. For the SLST, the sensitivity and specificity for recurrent falls in the community-dwelling setting were 0.33 and 0.712, respectively.
CONCLUSION: All the clinical tests of balance demonstrated an overall low diagnostic accuracy and a consistent inability to correctly identify fallers. None of these tests individually are able to predict future falls in older adults. Future research should develop a better understanding of the role that clinical tests of balance play in the comprehensive assessment of falls risk in older adults. IMPACT: Neither the FRT, SLST, nor POMA alone shows consistent evidence of being able to correctly identify fallers across fall types, settings, or older adult subpopulations. These clinical tests of balance cannot substitute a comprehensive falls risk assessment and thus should be incorporated in practice solely to identify and track balance impairment in older adults.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Accidental Falls; Gait; Postural Balance; Predictive Value of Tests; Systemic Review

Mesh:

Year:  2021        PMID: 34244801     DOI: 10.1093/ptj/pzab173

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  4 in total

Review 1.  Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall.

Authors:  Ioannis Bargiotas; Danping Wang; Juan Mantilla; Flavien Quijoux; Albane Moreau; Catherine Vidal; Remi Barrois; Alice Nicolai; Julien Audiffren; Christophe Labourdette; François Bertin-Hugaul; Laurent Oudre; Stephane Buffat; Alain Yelnik; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal
Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

2.  Correlation analysis of physical fitness and its impact on falls in 2130 community- dwelling older adults: a retrospective cross-sectional study.

Authors:  Wang-Sheng Lin; Nai-Wei Hsu; Meng-Jer Lee; You-Yuan Lin; Chih-Chun Tsai; Po-Jung Pan
Journal:  BMC Geriatr       Date:  2022-05-23       Impact factor: 4.070

3.  Exercise and physical performance in older adults with sarcopenic obesity: A systematic review.

Authors:  Laura Ghiotto; Valentina Muollo; Toni Tatangelo; Federico Schena; Andrea P Rossi
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-28       Impact factor: 6.055

Review 4.  Association of Cerebral Small Vessel Disease With Gait and Balance Disorders.

Authors:  Chen Su; Xiaoyu Yang; Shuqi Wei; Renliang Zhao
Journal:  Front Aging Neurosci       Date:  2022-07-08       Impact factor: 5.702

  4 in total

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