Balance perception as a potential tool for screening imbalance in the Timed Up and Go test among cognitively impaired older adults

Authors

DOI:

https://doi.org/10.1590/1980-0037.2025v27e87710

Keywords:

Aged, Cognitive Dysfunction, Mass Screening, Postural Balance, Self Report

Abstract

Imbalance is a common complaint in cognitively impaired older adults.  It is unknown whether cognitive impairment (CI) affects the validity and interpretability of balance perception in this population when standing up and walking. Investigate the validity of imbalance perception to screen performance limitations in the task proposed in the Timed Up and Go (TUG) test in older adults with CI. Cross-sectional study with data on older people assessed in 2019-2020 at a specialized geriatric care service. Participants were 136 older adults with CI identified by the Mini-Mental State Examination (MMSE). They were questioned about imbalance perception (test index) and submitted to the TUG test (reference standard; cutoff point>20 seconds). The answers given were confirmed with the caregiver. Sensitivity (SE), specificity (SP) and the positive (VPP) and negative predictive values (VPN) were estimated, and the agreement percentage was calculated (Cohen’s Kappa test). Of the 136 individuals studied, 60.3% reported imbalance in the TUG and 25.3% exhibited it during the test. Validity estimates showed high sensitivity and NPV values (SE=85.7%, SP=48.5%, PPV=36.6%, NPV=90.7%). Agreement between the two tools in the overall sample was 58.1%. Despite the low agreement between instruments, perceived imbalance showed low false-negative percentages, indicating that it could be a potential tool for screening limitations in the TUG, favoring the identification of individuals at risk of imbalance among older adults with CI. 

References

Bahureksa L, Najafi B, Saleh A, Sabbagh M, Coon D, Mohler MJ, et al. The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment. Gerontology 2017;63(1):67–83. https://doi.org/10.1159/000445831.

Uemura K, Shimada H, Makizako H, Doi T, Tsutsumimoto K, Lee S, Umegaki H, Kuzuya M, Suzuki T. Effects of Mild Cognitive Impairment on the Development of Fear of Falling in Older Adults: A Prospective Cohort Study. JAMA 2015;16(12):e9-13. https://doi.org/10.1016/j.jamda.2015.09.014.

Araújo RS, Nascimento ER do, Barros RS, Ritter SRF, Abreu AMS, Garcia PA. Can Clinical and Physical-Functional Factors Predict Falls in Cognitively Impaired Older Adults? Rev Bras Geriatr Gerontol. 2019;22(6). https://doi.org/10.1590/1981-22562019022.190211.

Bergquist R, Weber M, Schwenk M, Ulseth S, Helbostad JL, Vereijken B, et al. Performance-Based Clinical Tests of Balance and Muscle Strength Used in Young Seniors: A Systematic Literature Review. BMC Geriatr. 2019;19(1):1–14. https://doi.org/10.1186/s12877-018-1011-0.

Chiarovano E, Wang W, Reynolds P, MacDougall HG. Imbalance: Objective Measures versus Subjective Self-Report in Clinical Practice. Gait Posture 2018;59(1):217–221. https://doi.org/10.1016/j.gaitpost.2017.10.019.

Ayan C, Cancela JM, Gutiérrez A, Prieto I. Influence of the Cognitive Impairment Level on the Performance of the Timed “ Up & Go” Test (TUG) in Elderly Institutionalized People. Arch Gerontol Geriatr 2013;56(1):44–49. https://doi.org/10.1016/j.archger.2012.06.002.

Rolenz E, Reneker JC. Validity of the 8-Foot Up and Go, Timed Up and Go, and Activities-Specific Balance Confidence Scale in Older Adults with and without Cognitive Impairment. J Rehabil Res Dev 2016;53(4):511–518. https://doi.org/10.1682/JRRD.2015.03.0042.

Nightingale CJ, Mitchell SN, Butterfield SA. Validation of the Timed Up and Go Test for Assessing Balance Variables in Adults Aged 65 and Older. J Aging Phys Act. 2019;27(2):230–233. https://doi.org/10.1123/japa.2018-0049.

Rocha VCLG, Pereira DS, Pereira MJ, Silva SLA. Validade e Concordância Do Registro Em Prontuário Do Uso de Serviços Da Rede de Atenção à Saúde Por Idosos. Cien Saude Colet. 2020;25(6):2103–2112. https://doi.org/10.1590/1413-81232020256.19682018.

Francisco PMSB, Azevedo Barros MB, Segri NJ, Alves MCGP, Cesar CLG, Malta D. C. Comparação de Estimativas Para o Auto-Relato de Condições Crônicas Entre Inquérito Domiciliar e Telefônico - Campinas (SP), Brasil. Rev Bras Epidemiol. 2011;14 (suppl 1): 5–15. https://doi.org/10.1590/s1415-790x2011000500002.

Logsdon RG, Gibbons LE, McCurry SM, Teri L. Assessing Quality of Life in Older Adults with Cognitive Impairment. Psychosom Med. 2002;64(3):510–519. https://doi.org/10.1097/00006842-200205000-00016.

Almeida LRS, Valenca GT, Negreiros NN, Pinto EB, Oliveira-Filho J. Comparison of Self-Report and Performance-Based Balance Measures for Predicting Recurrent Falls in People With Parkinson Disease: Cohort Study. Phys Ther. 2016;96 (7):1074–1084. https://doi.org/10.2522/ptj.20150168.

Hansson EE, Månsson NO, Håkansson A. Balance Performance and Self-Perceived Handicap among Dizzy Patients in Primary Health Care. Scand J Prim Health Care. 2005;23(4):215–220. https://doi.org/10.1080/02813430500287299.

Mbongo F, Tran Ba Huy P, Vidal PP, de Waele C. Relationship between Dynamic Balance and Self-Reported Handicap in Patients Who Have Unilateral Peripheral Vestibular Loss. Otol Neurotol. 2007;28(7): 905–910.

Herbolsheimer F, Riepe MW, Peter R. Cognitive Function and the Agreement between Self-Reported and Accelerometer-Accessed Physical Activity. BMC Geriatr. 2018;18 (1): 56. https://doi.org/10.1186/s12877-018-0747-x.

Herrera E, Caramelli P, Silveira ASB, Nitrini R. Epidemiologic Survey of Dementia in a Community-Dwelling Brazilian Population. Alzheimer dis. assoc. disord. 2002;16(2):103–108. https://doi.org/10.1097/00002093-200204000-00007.

Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The Physical Activity Guidelines for Americans. JAMA. 2018;320(19): 2020. https://doi.org/10.1001/jama.2018.14854.

Lipschitz DA. Screening for Nutritional Status in the Elderly. Prim Care. 1994;21(1):55–67.

Dutra MC, dos Ribeiro RS, Pinheiro SB, de Melo GF, de Carvalho GA. Acurácia e Confiabilidade Do Questionário de Pfeffer Para a População Idosa Brasileira. Dement Neuropsychol. 2015;9(2):176–183. https://doi.org/10.1590/1980-57642015DN92000012.

Pfeffer RI, Kurosaki TT, Harrah CH, Chance JM, Filos S. Measurement of Functional Activities in Older Adults in the Community. J Gerontol. 1982;37(3):323–329. https://doi.org/10.1093/geronj/37.3.323.

Assis LDO, Assis MG, De Paula JJ, Malloy-Diniz LF. O Questionário De Atividades Funcionais De Pfeffer: Revisão Integrativa Da Literatura Brasileira. Estud Interdiscip Envelhec. 2015;20(1). https://doi.org/10.22456/2316-2171.50189.

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(1):1–36. https://doi.org/10.1519/JPT.0000000000000099.

Mancini M, Horak FB. The Relevance of Clinical Balance Assessment Tools to Differentiate Balance Deficits. Eur J Phys Rehabil Med 2010;46(2):239–248.

Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: Revised European Consensus on Definition and Diagnosis. Age Ageing. 2019;48(1):16–31. https://doi.org/10.1093/ageing/afy169.

Park SH. Tools for Assessing Fall Risk in the Elderly: A Systematic Review and Meta-Analysis. Aging Clin Exp Res. 2018;30(1):1–16. https://doi.org/10.1007/s40520-017-0749-0.

Downloads

Published

2026-01-06