Agreement between the prediction equations of the handgrip strength for hospitalized elderly people

Authors

DOI:

https://doi.org/10.62827/eb.v23i1.3n19

Keywords:

hand strenght; physical therapy; predictive value of tests.

Abstract

Introduction: Elderly individuals often experience a reduction in muscular strength, particularly when they are sedentary. The decrease in grip strength is associated with unfavorable outcomes in this population, with the dynamometer being the validated instrument in the literature for its measurement. Additionally, there are equations for predicting grip strength, which may overestimate or underestimate the results of dynamometry, leading to an error in the clinical interpretation of the obtained result.Objectives: To analyze the agreement among three prediction equations of handgrip strength for the hospitalized elderly population. Methods: Cross-sectional study evaluating handgrip strength in 44 elderly individuals between 70 and 90 years old with different health conditions using a Camry hydraulic dynamometer, model EH-10. The results obtained were compared with the predicted values by the equations of Novaes et al. (2009), Neves et al. (2014) and Tveter et al. (2014). To measure the agreement between the obtained handgrip strength values and those predicted by prediction equations analyzed, the Bland-Altman test was used. To classify the degree of agreement, the categorizations proposed by Landis and Koch were used. For all analyzes and graphics creation, GraphPad 5® software was used. Results: When comparing the obtained values with the predicted ones, there was a significant difference among the three equations (p<0.001). Conclusion: Regardless of the prediction equation of the handgrip strength, the results obtained for the hospitalized elderly people were below the predicted values, characterizing a condition of dynapenia. There was a moderate agreement among the prediction equations. We suggest that the Novaes equation be used for the hospitalized elderly population, since it is specific for the Brazilian population, without overestimating the predicted values.

Author Biographies

  • Katia Martins de Moura Barbosa , IFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), RJ, Brasil 

  • Jaqueline Peixoto Lopes, UFRJ

    Centro Universitário Serra dos Órgãos (UNIFESO), Programa de Mestrado Profissional para Formação em Pesquisa Biomédica, Instituto de Biofísica Carlos Chagas Filho (MPT – IBCCF/UFRJ), Rio de Janeiro, RJ, Brasil 

  • Emanoele Anastácia da Silva Araujo Melo, UFRJ

    Programa de Mestrado Profissional para Formação em Pesquisa Biomédica, Instituto de Biofísica Carlos Chagas Filho (MPT – IBCCF/UFRJ), Hospital Universitário Antonio Pedro (HUAP), Rio de Janeiro, RJ, Brasil 

  • Marco Orsini, UNIG

    Universidade Federal do Rio de Janeiro, (UFRJ), Programa de Mestrado em Vigilância em Saúde, Universidade Iguaçu (UNIG), Rio de Janeiro, RJ, Brasil 

  • Thiago de Mello Tavares , UnC

     Graduado pela Universidade do Contestado (UnC), SC, Secretaria Municipal de Saúde de Santo Amaro da Imperatriz, Florianópolis, SC, Brasil 

  • Ricardo Gaudio de Almeida, IFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Rio de Janeiro, RJ, Brasil 

  • Tiago Batista da Costa Xavier , UFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Programa de Mestrado Profissional para Formação em Pesquisa Biomédica, Instituto de Biofísica Carlos Chagas Filho (MPT – IBCCF/UFRJ), Rio de Janeiro, RJ, Brasil 

  • Cristiane Sousa Nascimento Baez Garcia, IFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Rio de Janeiro, RJ, Brasil

  • Luciana Moisés Camilo, UFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Programa de Mestrado Profissional para Formação em Pesquisa Biomédica, Instituto de Biofísica Carlos Chagas Filho (MPT – IBCCF/UFRJ), Rio de Janeiro, RJ, Brasil

  • Mauricio de Sant’Anna Junior, UFRJ

    Insituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Programa de Mestrado Profissional para Formação em Pesquisa Biomédica, Instituto de Biofísica Carlos Chagas Filho (MPT – IBCCF/UFRJ), Rio de Janeiro, RJ, Brasil 

References

Oliveira Hévelyn Moreira Lourenço de et al. Fisioterapia na prevenção de quedas em idosos: revisão de literatura. Revista Interdisciplinar de Estudos Experimentais-Animais e Humanos [Internet]. 2023 Jun 28 [cited 2023 Jan 3];9(1):43-47.Available from: http://periodicos.ufjf.br/index.php/riee/article/view/24040

Junior MCMS, Santos MR dos, Jesus SLF de, Almeida MRM de, Rocha JDN da, Neves J de S, et al. Avaliação da diferença na força muscular periférica entre admissão e alta em idosos hospitalizados. Acta Fisiátrica [Internet]. 2021 Jun 30 [cited 2022 Jan 9];28(2):73–7. Available from: https://www.revistas.usp.br/actafisiatrica/article/view/183118

Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019 Jan 1;48(1):16-31.

Clark B, Manini T. Sarcopenia ≠ Dynapenia [Internet]. 2008 Aug [cited 2022 Nov 8]. Available from: https://academic.oup.com/biomedgerontology/article/63/8/829/567368

Costa RR, Reichert T, Kruel LFM. Adaptações do músculos esquelético ao envelhecimento e ao treinamento de força: uma revisão narrativa sobre a sarcopenia e a dinapenia [Internet]. [cited 2022 Nov 8]. Available from: https://www.seer.ufrgs.br/RevEnvelhecer/article/view/76610

Nepomuceno BJRV, Neto MG. Avaliação da força muscular dos membros superiores através dinamometrohandheld: estudo piloto. Revista De Ciências Médicas E Biológicas [Internet]. 2020 Sep 24 [cited 2022 Oct 20];19(2):325. Available from: https://periodicos.ufba.br/index.php/cmbio/article/download/28035/23201

Noda DG, Marchetti PH, Junior G de BV. A ELETROMIOGRAFIA DE SUPERFÍCIE EM ESTUDOS RELATIVOS À PRODUÇÃO DE FORÇA Surface electromyography in studiesontheproductionof force [Internet]. [cited 2022 Nov 8]. Available from: https://www.cpaqv.org/revista/CPAQV/ojs- 2.3.7/index.php?journal=CPAQV&page=article&op=view&path%5B%5D=55

Robles PG, Mathur S, Janaudis-Fereira T, Dolmage TE, Goldstein RS, Brooks D. Measurement of Peripheral Muscle Strength in Individuals With Chronic Obstructive Pulmonary Disease. Journal of Cardiopulmonary Rehabilitation and Prevention [Internet]. 2011 [cited 2020 Oct 28];31(1):11–24. Available from: https://journals.lww.com/jcrjournal/Abstract/2011/01000/Measurement_of_Peri pheral_Muscle_Strength_in.3.aspx

Reidel LT, Cecchele B, Sachetti A, Calegari L. Efeitos da eletroestimulação neuromuscular de quadríceps sobre a funcionalidade de idosos frágeis e pré- frágeis hospitalizados: ensaio clínico randomizado. Fisioterapia e Pesquisa [Internet]. 2020 Jun [cited 2023 Jan 6];27(2):126–32. Available from: https://www.scielo.br/j/fp/a/j4J88tjHmmgyJWV4JRTPMCP/abstract/?lang=pt

Silva MG, Moreira PVS, Rocha HM. Development of a low cost force platform for biomechanical parameters analysis. Research on Biomedical Engineering [Internet]. 2017 Sep 12 [cited 2022 Nov 6];33(3):259–68. Available from: https://www.scielo.br/j/reng/a/FBpsjYfBsjKKfdycF46CLYv/?lang=en

Negaresh R, Ranjbar R, Baker J, Habibi A, Mokhtarzade M, Gharibvand M, et al. Skeletal muscle hypertrophy, insulin-like growth factor 1, myostatin and follistatin in healthy and sarcopenic elderly men: The effect of whole-body resistance training. International Journal of Preventive Medicine [Internet]. 2019 [cited 2023 Jan 6];10(1):29. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425763

Manini TM, Clark BC. Dynapenia and Aging: An Update. The Journals of Gerontology: Series A [Internet]. 2012 Mar 28 [cited 2022 Nov 11];67A(1):28– 40. Available from: https://academic.oup.com/biomedgerontology/article- abstract/67A/1/28/583360

Mori H, Kuroda A, Matsuhisa M. Clinical impact of sarcopenia and dynapenia on diabetes. Diabetology International [Internet]. 2019 Jun 19 [cited 2022 Nov 14];10(3):183–7. Available from: https://link.springer.com/article/10.1007/s13340-019-00400-1

Lelis CM. CHEILA MAÍRA LELIS Avaliação da força de preensão digital em trabalhadores de enfermagem [Internet]. 2015 Apr [cited 2022 Nov 8]. Available from: https://www.teses.usp.br/teses/disponiveis/22/22132/tde-03022015-104512/publico/CHEILAMAIRALELIS.pdf

Neves RS, Lopes AJ, Menezes SLS de, Lima TR de L, Ferreira A de S, Guimarães FS. Hand grip strength in healthy young and older brazilian adults: development of a linear prediction model using simple anthropometric variables. Kinesiology [Internet]. 2017 [cited 2023 Apr 6];49(2):208–16. Available from: https://hrcak.srce.hr/ojs/index.php/kinesiology/article/view/5700

Novaes RD, Miranda AS de, Silva J de O, Tavares BVF, Dourado VZ. Equações de referência para a predição da força de preensão manual em brasileiros de meia idade e idosos. Fisioterapia e Pesquisa [Internet]. 2009 Sep [cited 2022 Oct 13];16(3):217–22. Available from: https://www.scielo.br/j/fp/a/69F7KC6H7HzWV6DhtQR8Dbm/abstract/?lang=pt

Tveter AT, Dagfinrud H, Moseng T, Holm I. Health-Related Physical Fitness Measures: Reference Values and Reference Equations for Use in Clinical Practice. Archives of Physical Medicine and Rehabilitation [Internet]. 2014 Jul [cited 2022 Mar 15];95(7):1366–73. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0003999314001762

Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A, et al. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. Journal of Applied Physiology [Internet]. 2003 Nov [cited 2023 Jun 26];95(5):1851–60. Available from: https://pubmed.ncbi.nlm.nih.gov/14555665/

Tournadre A, Vial G, Capel F, Soubrier M, Boirie Y. Sarcopenia. Joint Bone Spine [Internet]. 2019 May [cited 2023 May 15];86(3):309–14. Available from: https://pubmed.ncbi.nlm.nih.gov/30098424/

Pereira AVN, Santos L dos, Pedreira RBS, Miranda CGM, Fernandes MH, Carneiro JAO. Prevalence and factors associated with dynapenia in older women using different diagnostic criteria. Motriz: Revista de Educação Física [Internet]. 2022 [cited 2023 May 16];28. Availablefrom: https://www.scielo.br/j/motriz/a/bjYY3Vz7r5SWvHkPfXmh6gL/abstract/?lang= en

Borges VS, Lima-Costa MFF, Andrade FB de. A nationwide study on prevalence and factors associated with dynapenia in older adults: ELSI-Brazil. Cadernos de SaúdePública [Internet]. 2020 [cited 2023 May 16];36(4). Available from: https://www.scielo.br/j/csp/a/8QVSjyV8cXpRCBTCnHtrcNn/?format=html&la ng=en

Lino VTS, Rodrigues NCP, O’Dwyer G, Andrade MK de N, Mattos IE, Portela MC. Handgrip Strength and Factors Associated in Poor Elderly Assisted at a Primary Care Unit in Rio de Janeiro, Brazil. Alway SE, editor. PLOS ONE [Internet]. 2016 Nov 10 [cited 2023 May 18];11(11):e0166373. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166373

Alexandre T da S, Duarte YA de O, Santos JLF, Lebrão ML. Prevalência e fatores associados à sarcopenia, dinapenia e sarcodinapenia em idosos residentes no Município de São Paulo - Estudo SABE. RevistaBrasileira de Epidemiologia [Internet]. 2018 [cited 2023 May 23];21(suppl 2). Available from: https://www.scielo.br/j/rbepid/a/rdHTbFf4RCCSkQm5zMWhPgw/

Souza LMV. Ciências Do Esporte E Educação física: Saúde E Desempenho 2 [Internet]. AtenaEditora 2022 [cited 2023 Jun 9]. Available from: https://www.atenaeditora.com.br/catalogo/ebook/ciencias-do-esporte-e- educacao-fisica-saude-e-desempenho-2

Komatsu TR, Borim FS, Neri AL, Corona LP. Association of dynapenia, obesity and chronic diseases with all-cause mortality of community-dwelling older adults: A path analysis. Geriatrics & Gerontology International [Internet]. 2018 Nov 22 [cited 2023 Jun 6];19(2):108–12. Available from: https://pubmed.ncbi.nlm.nih.gov/30565817/

Rossi AP, Fantin F, Abete P, Bellelli G, Bo M, Cherubini A, et al. Association between hospitalization-related outcomes, dynapenia and body mass index: The Glisten Study. European Journal of Clinical Nutrition [Internet]. 2019 May 1 [cited 2023 May 18];73(5):743–50. Available from: https://www.nature.com/articles/s41430-018-0184-0

Erdogan T, Bahat G. Incidence of Sarcopenia and Dynapenia According to Stage in Patients with Idiopathic Parkinson’s Disease. Neurological Sciences [Internet]. 2018 Oct 18 [cited 2023 May 18];40(3):625–5. Available from: https://link.springer.com/article/10.1007/s10072-018-3612-y

Uchida S, Kamiya K, Hamazaki N, Nozaki K, Ichikawa T, Nakamura T, et al. Prognostic Utility of Dynapenia in Patients with Cardiovascular Disease. Clinical Nutrition [Internet]. 2021 Apr [cited 2023 May 18];40(4):2210–8. Available from: https://www.sciencedirect.com/science/article/pii/S0261561420305227

Published

2024-05-24

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Artigos originais

How to Cite

Agreement between the prediction equations of the handgrip strength for hospitalized elderly people. (2024). Enfermagem Brasil, 23(1), 1258-1272. https://doi.org/10.62827/eb.v23i1.3n19