Subscribe to RSS
DOI: 10.1590/0004-282X-ANP-2022-S107
Falls in older adults: a practical approach
Queda em idosos: uma abordagem práticaABSTRACT
Background: Falls are a major problem in public health since they are an important cause of morbidity and mortality. To evaluate the risk of fall and prescribe preventive interventions may be a challenging task. Objectives: The objectives of this study are to summarize the most relevant information on the topic “falls in the elderly” and to give a critical view and practical clinical approach on this topic. Methods: In March 2022, a search of Pubmed database was performed, using the terms “fall elderly”, fall prevention”, “fall risk”, with the following parameters: five years, review, systematic review, meta-analysis, practice guidelines. Results: There are several risk factors for falls that can be grouped in different areas (psychosocial, demographic, medical, medication, behavioral, environmental). The clinical evaluation of an older adult prone to falls must include identification of risk factors through history and examination and identification of risk of falls through an assessment tool such as gait velocity, functional reach test, timed up and go, Berg balance test, and miniBEST test. Fall prevention strategies can be single or multiple, and physical activity is the most cited. Technology can be used to detect and prevent falls. Conclusion: A systematic approach to the older patient in risk of falls is feasible and may impact fall prevention.
RESUMO
Antecedentes: As quedas são um grande problema de saúde pública, uma vez que são uma importante causa de morbidade e mortalidade. A avaliação do risco de queda e a prescrição de intervenções preventivas podem ser tarefas desafiadoras. Objetivo: Estudo visa sintetizar as informações mais relevantes sobre o tema “quedas em idosos” e apresentar uma visão crítica e uma abordagem da prática clínica neste tema. Métodos: Em março de 2022, foi feita uma revisão bibliográfica no Pubmed, utilizando-se os termos “fall elder”, fall prevention”, “fall risk”, com os seguintes parâmetros s: 5 anos, revisão, revisão sistemática, meta-análise, diretrizes práticas. Resultados: Há inúmeros fatores de risco para quedas que podem ser agrupados em diferentes domínios (psicossocial, demográfico, condições clínicas, uso de medicamentos, comportamental, ambiental). A avaliação clínica de um idoso propenso a queda deve incluir a identificação de fatores de risco por meio da história e exame físico e identificação do risco de queda por meio de um instrumento de avaliação como velocidade da marcha, teste de alcance funcional, timed up and go, teste de equilíbrio de Berg, escala miniBEST. As estratégias de prevenção de quedas podem ser únicas ou múltiplas, sendo a atividade física a mais citada. Tecnologias podem ser usadas para detectar e prevenir quedas. Conclusão: Uma abordagem sistemática ao paciente idoso em risco de queda é possível, deve ser realizada e pode impactar na prevenção de quedas.
Authors’ contributions:
CBP, AMKK: literature review and preparation of the manuscript
Publication History
Received: 15 March 2022
Accepted: 29 April 2022
Article published online:
06 February 2023
© 2022. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
-
References
- 1 Bergen G, Stevens MR, Burns ER. Falls and fall injuries among adults ages over 65 years. MMWR Morb Mortal Wkly Rep 2016; 65 (37) 993-998 https://doi.org/10.15585/mmwr.mm6537a2
- 2 Tricco AC, Thomas SM, Veroniki AA, Hamid JS, Cogo E, Strifler L. et al. Comparisons of interventions for preventing falls in older adults: a systematic review and meta-analysis. JAMA 2017; 318 (17) 1687-1699 https://doi.org/10.1001/jama.2017.15006
- 3 World Health Organization. WHO global report on falls prevention in older age [Internet]. Geneva (CH): World Health Organization; 2014. [cited 2022 Mar 3]. 53 p. Available from: https://extranet.who.int/agefriendlyworld/wp-content/uploads/2014/06/WHo-Global-report-on-falls-prevention-in-older-age.pdf
- 4 Klenk J, Becker C, Palumbo P, Schwickert L, Rapp K, Helbostad JL. et al. Conceptualizing a dynamic fall risk model including intrinsic risks and exposures. J Am Med Dir Assoc 2017; 18 (11) 921-927 https://doi.org/10.1016/j.jamda.2017.08.001
- 5 Lord SR, Menz HB, Sherrington C, Falls in older people: risk factors and strategies for prevention. Geusens P, Sambrook PN, Lindsay R. Osteoporosis in clinical practice: a practical guide for diagnosis and treatment. London (UK): Springer; 2004: 93-99
- 6 Kim J, Lee W, Lee SH. A systematic review of the guidelines and delphi study for the multifactorial fall risk assessment of community-dwelling elderly. Int J Environ Res Public Health 2020; 17 (17) 6097-6097 https://doi.org/10.3390/ijerph17176097
- 7 Petersen N, König H-H, Hajek A. The link between falls, social isolation and loneliness: a systematic review. Arch Gerontol Geriatr 2020; 88: 104020-104020 https://doi.org/10.1016/j.archger.2020.104020
- 8 Zhang W, Low L-F, Schwenk M, Mills N, Gwynn JD, Clemson L. Review of Gait, Cognition, and Fall Risks with Implications for Fall Prevention in Older Adults with Dementia. Dement Geriatr Cogn Disord 2019; 48 1-2 17-29 https://doi.org/10.1159/000504340
- 9 Jehu DA, Davis JC, Falck RS, Bennett KJ, Tai D, Souza MF. et al. Risk factors for recurrent falls in older adults: a systematic review with meta-analysis. Maturitas 2021; 144: P23-P28 https://doi.org/10.1016/j.maturitas.2020.10.021
- 10 Saftari LN, Kwon O-S. Ageing vision and falls: a review. J Physiol Anthropol 2018; 37 (01) 11-11 https://doi.org/10.1186/s40101-018-0170-1
- 11 Reed-Jones RJ, Solis GR, Lawson KA, Loya AM, Cude-Islas D, Berger CS. Vision and falls: a multidisciplinary review of the contributions of visual impairment to falls among older adults. Maturitas 2013; 75 (01) P22-P28 https://doi.org/10.1016/j.maturitas.2013.01.019
- 12 Pasma JH, Engelhart D, Schouten AC, van der Kooij H, Maier AB, Meskers CGM. Impaired standing balance: the clinical need for closing the loop. Neuroscience 2014; 267: 157-165 https://doi.org/10.1016/j.neuroscience.2014.02.030
- 13 Gambaro E, Gramaglia C, Azzolina D, Campani D, Dal Molin A, Zeppegno P. The complex associations between late life depression, fear of falling and risk of falls. A systematic review and meta-analysis. Ageing Res Rev 2022; 73: 101532-101532 https://doi.org/10.1016/j.arr.2021.101532
- 14 Cuevas-Trisan R. Balance problems and fall risks in the elderly. Phys Med Rehabil Clin N Am 2017; 28 (04) 727-737 https://doi.org/10.1016/j.pmr.2017.06.006
- 15 Bolding DJ, Corman E. Falls in the geriatric patient. Clin Geriatr Med 2019; 35 (01) P115-P126 https://doi.org/10.1016/j.cger.2018.08.010
- 16 van Poelgeest EP, Pronk AC, Rhebergen D, van der Velde N. Depression, antidepressants and fall risk: therapeutic dilemmas-a clinical review. Eur Geriatr Med 2021; 12 (03) 585-596 https://doi.org/10.1007/s41999-021-00475-7
- 17 Lord SR, Menz HB, Tiedemann A. A physiological profile approach to falls risk assessment and prevention. Phys Ther 2003; 83 (03) 237-252 https://doi.org/10.1093/ptj/83.3.237
- 18 Gafner SC, Allet L, Hilfiker R, Bastiaenen CHG. Reliability and diagnostic accuracy of commonly used performance tests relative to fall history in older persons: a systematic review. Clin Interv Aging 2021; 16: 1591-1616 https://doi.org/10.2147/CIA.S322506
- 19 Park S-H. Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clin Exp Res 2018; 30 (01) 1-16 https://doi.org/10.1007/s40520-017-0749-0
- 20 Lusardi MM, Fritz S, Middleton A, Allison L, Wingood M, Phillips E. et al. Determining risk of falls in community dwelling older adults: a systematic review and meta-analysis using posttest probability. J Geriatr Phys Ther 2017; 40 (01) 1-36 https://doi.org/10.1519/JPT.2022s1072022s1070099
- 21 Weiner DK, Duncan PW, Chandler J, Studenski S. Functional reach: a marker of physical frailty. J Am Geriatr Soc 1992; 40 (03) 203-207 https://doi.org/10.1111/j.1532-5415.1992.tb02068.x
- 22 Thomas JI, Lane JV. A pilot study to explore the predictive validity of 4 measures of falls risk in frail elderly patients. Arch Phys Med Rehabil 2005; 86 (08) 1636-1640 https://doi.org/10.1016/j.apmr.2005.03.004
- 23 Middleton A, Fritz SL, Lusardi M. Walking speed: the functional vital sign. J Aging Phys Act 2015; 23 (02) 314-322 https://doi.org/10.1123/japa.2013-0236
- 24 Graham JE, Ostir GV, Fisher SR, Ottenbacher KJ. Assessing walking speed in clinical research: a systematic review. J Eval Clin Pract 2008; 14 (04) 552-562 https://doi.org/10.1111/j.1365-2753.2007.00917.x
- 25 Steffen TM, Hacker TA, Mollinger L. Age- and gender-related test performance in community-dwelling elderly people: Six-Minute Walk Test, Berg Balance Scale, Timed Up & Go Test, and gait speeds. Phys Ther 2002; 82 (02) 128-137 https://doi.org/10.1093/ptj/82.2.128
- 26 Montero-Odasso M, Schapira M, Soriano ER, Varela M, Kaplan R, Camera LA. et al. Gait velocity as a single predictor of adverse events in healthy seniors aged 75 years and older. J Gerontol A Biol Sci Med Sci 2005; 60 (10) 1304-1309 https://doi.org/10.1093/gerona/60.10.1304
- 27 Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health 1992; 83 (Suppl. 02) S7-11
- 28 Lima CA, Ricci NA, Nogueira EC, Perracini MR. The Berg Balance Scale as a clinical screening tool to predict fall risk in older adults: a systematic review. Physiotherapy 2018; 104 (04) P383-P394 https://doi.org/10.1016/j.physio.2018.02.002
- 29 Park S-H, Lee Y-S. The diagnostic accuracy of the berg balance scale in predicting falls. West J Nurs Res 2017; 39 (11) 1502-1525 https://doi.org/10.1177/0193945916670894
- 30 Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991; 39 (02) 142-148 https://doi.org/10.1111/j.1532-5415.1991.tb01616.x
- 31 Franchignoni F, Horak F, Godi M, Nardone A, Giordano A. Using psychometric techniques to improve the Balance Evaluation Systems Test: the mini-BESTest. J Rehabil Med 2010; 42 (04) 323-331 https://doi.org/10.2340/16501977-0537
- 32 Magnani PE, Genovez MB, Porto JM, Zanellato NFG, Alvarenga IC, Freire Jr RC. et al. Use of the BESTest and the Mini-BESTest for fall risk prediction in community-dwelling older adults between 60 and 102 years of age. J Geriatr Phys Ther 2020; 43 (04) 179-184 https://doi.org/10.1519/JPT.2022s1072022s1070236
- 33 Marques A, Almeida S, Carvalho J, Cruz J, Oliveira A, Jácome C. Reliability, validity, and ability to identify fall status of the balance evaluation systems test, mini-balance evaluation systems test, and brief-balance evaluation systems test in older people living in the community. Arch Phys Med Rehabil 2016; 97 (12) P2166-P2173 e1 https://doi.org/10.1016/j.apmr.2016.07.011
- 34 Senderovich H, Tsai PM. Do exercises prevent falls among older adults: Where are we now? A systematic review. J Am Med Dir Assoc 2020; 21 (09) P1197-P1206 e2 https://doi.org/10.1016/j.jamda.2020.05.010
- 35 Gillespie LD, Robertson MC, GIllespie WJ, Sherrington C, Gates S, Clemson LM. et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev 2012; 2012 (09) CD007146-CD007146 https://doi.org/10.1002/14651858.CD007146.pub3
- 36 Skelton DA Todd CJ. ProFaNE Group. Prevention of Falls Network Europe: a thematic network aimed at introducing good practice in effective falls prevention across Europe. Four years on. J Musculoskelet Neuronal Interact 2007; 7 (03) 273-278
- 37 Hopewell S, Adedire O, Copsey BJ, Boniface GJ, Sherrington C, Clemson L. et al. Multifactorial and multiple component interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev 2018; 7 (07) CD012221-CD012221 https://doi.org/10.1002/14651858.CD012221.pub2
- 38 Marusic U, Verghese J, Mahoney JR. Cognitive-based interventions to improve mobility: a systematic review and meta-analysis. J Am Med Dir Assoc 2018; 19 (06) P484-P491 e3 https://doi.org/10.1016/j.jamda.2018.02.002
- 39 Sherrington C, Fairhall NJ, Wallbank GK, Tiedemann A, Michaleff ZA, Howard K. et al. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev 2019; 1 (01) CD012424 https://doi.org/10.1002/14651858.CD012424.pub2
- 40 Sherrington C, Fairhall N, Wallbank G, Tiedemann A, Michaleff ZA, Howard K. et al. Exercise for preventing falls in older people living in the community: an abridged Cochrane systematic review. Br J Sports Med 2020; 54 (15) 885-891 https://doi.org/10.1136/bjsports-2019-101512
- 41 Finnegan S, Seers K, Bruce J. Long-term follow-up of exercise interventions aimed at preventing falls in older people living in the community: a systematic review and meta-analysis. Physiotherapy 2019; 105 (02) 187-199 https://doi.org/10.1016/j.physio.2018.09.002
- 42 Sun M, Min L, Xu N, Huang L, Li X. The effect of exercise intervention on reducing the fall risk in older adults: a meta-analysis of randomized controlled trials. Int J Environ Res Public Health 2021; 18 (23) 12562-12562 https://doi.org/10.3390/ijerph182312562
- 43 Smith LM, Gallagher JC, Suiter C. Medium doses of daily vitamin D decrease falls and higher doses of daily vitamin D3 increase falls: a randomized clinical trial. J Steroid Biochem Mol Biol 2017; 173: 317-322 https://doi.org/10.1016/j.jsbmb.2017.03.015
- 44 Khaw K-T, Stewart AW, Waayer D, Lawes CMM, Toop L, Camargo Jr CA. Effect of monthly high-dose vitamin D supplementation on falls and non-vertebral fractures: secondary and post-hoc outcomes from the randomised, double-blind, placebo-controlled ViDA trial. Lancet Diabetes Endocrinol 2017; 5 (06) P438-P447 https://doi.org/10.1016/S2213-8587(17)30103-1
- 45 Ling Y, Xu F, Xia X, Dai D, Xiong A, Sun R. et al. Vitamin D supplementation reduces the risk of fall in the vitamin D deficient elderly: an updated meta-analysis. Clin Nutr 2021; 40 (11) P5531-P5537 https://doi.org/10.1016/j.clnu.2021.09.031
- 46 Murad MH, Elamin KB, Elnour NOA, Elamin MB, Alkatib AA, Fatourechi MM. et al. The effect of vitamin D on falls: a systematic review and meta-analysis. J Clin Endocrinol Metab 2011; 96 (10) 2997-3006 https://doi.org/10.1210/jc.2011-1193
- 47 Tanwar R, Nandal N, Zamani M, Manaf AA. Pathway of trends and technologies in fall detection: a systematic review. Healthcare (Basel) 2022; 10 (01) 172-172 https://doi.org/10.3390/healthcare10010172
- 48 Usmani S, Saboor A, Haris M, Khan MA, Park H. Latest research trends in fall detection and prevention using machine learning: a systematic review. Sensors (Basel) 2021; 21 (15) 5134-5134 https://doi.org/10.3390/s21155134
- 49 Oh-Park M, Doan T, Dohle C, Vermiglio-Kohn V, Abdou A. Technology utilization in fall prevention. Am J Phys Med Rehabil 2021; 100 (01) 92-99 https://doi.org/10.1097/PHM.2022s1072022s1071554