The Added Value of Combined Timed Up and Go Test, Walking Speed, and Grip Strength on Predicting Recurrent Falls in Chinese Community-dwelling Elderly

References

• Essien SK, Feng CX, Sun WJ, Farag M, Li LH, Gao YQ. Sleep duration and sleep disturbances in association with falls among the middle-aged and older adults in China: a population-based nationwide study. BMC Geriatr. 2018;18(1):1–4.29291720
   PubMed Web of Science ®Google Scholar
• Zhong Q, Ali N, Gao Y, et al. Gait kinematic and kinetic characteristics of older adults with mild cognitive impairment and subjective cognitive decline: a cross-sectional study. Front Aging Neurosci. 2021;13:664558. doi:10.3389/fnagi.2021.66455834413762
   PubMed Web of Science ®Google Scholar
• Wu TY, Chie WC, Yang RS, Kuo KL, Wong WK, Liaw CK. Risk factors for single and recurrent falls: a prospective study of falls in community dwelling seniors without cognitive impairment. Prev Med. 2013;57(5):511–517. doi:10.1016/j.ypmed.2013.07.01223872174
   PubMed Web of Science ®Google Scholar
• Hirase T, Inokuchi S, Matsusaka N, Nakahara K, Okita M. A modified fall risk assessment tool that is specific to physical function predicts falls in community-dwelling elderly people. J Geriatr Phys Ther. 2014;37(4):159–165. doi:10.1519/JPT.0b013e3182abe7cb24577358
   PubMed Web of Science ®Google Scholar
• Rosa MC, Marques A, Demain S, Metcalf CD. Fast gait speed and self-perceived balance as valid predictors and discriminators of independent community walking at 6 months post-stroke - a preliminary study. Disabil Rehabil. 2015;37(2):129–134. doi:10.3109/09638288.2014.91196924754638
   PubMed Web of Science ®Google Scholar
• Nofuji Y, Shinkai S, Taniguchi Y, et al. Associations of walking speed, grip strength, and standing balance with total and cause-specific mortality in a general population of Japanese elders. J Am Med Dir Assoc. 2016;17(2):184.e1–184.e7. doi:10.1016/j.jamda.2015.11.003
   Web of Science ®Google Scholar
• Kang L, Chen XY, Han PP, et al. A screening tool using five risk factors was developed for fall-risk prediction in Chinese community-dwelling elderly individuals. Rejuvenation Res. 2018;21(5):416–422. doi:10.1089/rej.2017.200529191108
   PubMed Web of Science ®Google Scholar
• Novin RS, Taylor E, Hermans T, Merryweather A. Development of a novel computational model for evaluating fall risk in patient room design. HERD. 2021;14(2):350–367. doi:10.1177/193758672095976632969295
   PubMedGoogle Scholar
• Severo IM, Kuchenbecker R, Vieira DFVB, et al. A predictive model for fall risk in hospitalized adults: a case-control study. J Adv Nurs. 2019;75(3):563–572. doi:10.1111/jan.1388230334584
   PubMed Web of Science ®Google Scholar
• Hansson EE, Valkonen E, Moller UO, Lin YC, Magnusson M, Fransson PA. Gait flexibility among older persons significantly more impaired in fallers than non-fallers-A longitudinal study. Int J Environ Res Public Health. 2021;18(13):7074.34281011
   PubMed Web of Science ®Google Scholar
• Groessl EJ, Kaplan RM, Rejeski WJ, et al. Physical activity and performance impact long-term quality of life in older adults at risk for major mobility disability. Am J Prev Med. 2019;56(1):141–146. doi:10.1016/j.amepre.2018.09.00630573142
   PubMed Web of Science ®Google Scholar
• Yang S, Chen C, Du SY, et al. Assessment of isokinetic trunk muscle strength and its association with health-related quality of life in patients with degenerative spinal deformity. BMC Musculoskel Dis. 2020;21(1):1–9. doi:10.1186/s12891-020-03844-8.
   Web of Science ®Google Scholar
• Sasaki E, Sasaki S, Chiba D, et al. Age-related reduction of trunk muscle torque and prevalence of trunk sarcopenia in community-dwelling elderly: validity of a portable trunk muscle torque measurement instrument and its application to a large sample cohort study. PLoS One. 2018;13(2):e0192687. doi:10.1371/journal.pone.019268729471310
   PubMed Web of Science ®Google Scholar
• Davis JC, Best JR, Khan KM, et al. Slow processing speed predicts falls in older adults with a falls history: 1-year prospective cohort study. J Am Geriatr Soc. 2017;65(5):916–923. doi:10.1111/jgs.1483028390178
   PubMed Web of Science ®Google Scholar
• Larsson BAM, Johansson L, Johansson H, et al. The timed up and go test predicts fracture risk in older women independently of clinical risk factors and bone mineral density. Osteoporosis Int. 2021;32(1):75–84. doi:10.1007/s00198-020-05681-w
   Web of Science ®Google Scholar
• Kang L, Han P, Wang J, et al. Timed up and go test can predict recurrent falls: a longitudinal study of the community-dwelling elderly in China. Clin Interv Aging. 2017;12:2009–2016. doi:10.2147/CIA.S13828729238175
   PubMed Web of Science ®Google Scholar
• Wang XY, Ma YX, Wang JZ, et al. Mobility and muscle strength together are more strongly correlated with falls in suburb-dwelling older Chinese. Sci Rep. 2016;6(1):1–7.28442746
   PubMed Web of Science ®Google Scholar
• Jiang H, Liu L, Liu T, Zhu S, Hou L. Current status on the ability of the elderly in rural China: implications for future nursing and policy. Cardiovasc Diagn Ther. 2020;10(5):1216–1225. doi:10.21037/cdt-20-55533224745
   PubMed Web of Science ®Google Scholar
• Zhang W, Shen SX, Wang W, et al. Poor lower extremity function was associated with pre-diabetes and diabetes in older Chinese people. PLoS One. 2014;9(12):e115883. doi:10.1371/journal.pone.011588325531769
   PubMed Web of Science ®Google Scholar
• Yu X, Hou L, Guo J, et al. Combined effect of osteoporosis and poor dynamic balance on the incidence of sarcopenia in elderly Chinese community suburban-dwelling individuals. J Nutr Health Aging. 2020;24(1):71–77. doi:10.1007/s12603-019-1295-631886811
   PubMed Web of Science ®Google Scholar
• Ho HH, Fang IY, Yu YC, et al. Is functional fitness performance a useful predictor of risk of falls among community-dwelling older adults? Arch Public Health. 2021;79(1):1–9. doi:10.1186/s13690-021-00608-1.33390163
   PubMed Web of Science ®Google Scholar
• Song PY, Han PP, Zhao YJ, et al. Muscle mass rather than muscle strength or physical performance is associated with metabolic syndrome in community-dwelling older Chinese adults. BMC Geriatr. 2021;21(1):1–9. doi:10.1186/s12877-021-02143-8.33388045
   PubMed Web of Science ®Google Scholar
• Suwa M, Imoto T, Kida A, Iwase M, Yokochi T. Age-related reduction and independent predictors of toe flexor strength in middle-aged men. J Foot Ankle Res. 2017;10(1):15. doi:10.1186/s13047-017-0196-328360943
   PubMed Web of Science ®Google Scholar
• Li FE, Zhang FL, Zhang P, et al. Sex-based differences in and risk factors for metabolic syndrome in adults aged 40 years and above in Northeast China: results from the cross-sectional China national stroke screening survey. BMJ Open. 2021;11(3):e038671.
   Web of Science ®Google Scholar
• Cella A, De Luca A, Squeri V, et al. Development and validation of a robotic multifactorial fall-risk predictive model: a one-year prospective study in community-dwelling older adults. PLoS One. 2020;15(6):e0234904. doi:10.1371/journal.pone.023490432584912
   PubMed Web of Science ®Google Scholar
• Sharif SI, Al-Harbi AB, Al-Shihabi AM, Al-Daour DS, Sharif RS. Falls in the elderly: assessment of prevalence and risk factors. Pharm Pract (Granada). 2018;16(3):1206. doi:10.18549/PharmPract.2018.03.120630416623
   PubMed Web of Science ®Google Scholar
• Chatzipetrou V, Begin MJ, Hars M, Trombetti A. Sarcopenia in chronic kidney disease: a scoping review of prevalence, risk factors, association with outcomes, and treatment. Calcif Tissue Int. 2021:1–31. doi:10.1007/s00223-021-00898-1
   Web of Science ®Google Scholar
• Jeon M, Gu MO, Yim J. Comparison of walking, muscle strength, balance, and fear of falling between repeated fall group, one-time fall group, and nonfall group of the elderly receiving home care service. Asian Nurs Res. 2017;11(4):290–296.
   PubMed Web of Science ®Google Scholar
• Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14(1):14. doi:10.1186/1471-2318-14-1424484314
   PubMed Web of Science ®Google Scholar
• Zhou H, Peng K, Tiedemann A, Peng J, Sherrington C. Risk factors for falls among older community dwellers in Shenzhen, China. Inj Prev. 2018;25(1):31–35.29475977
   PubMed Web of Science ®Google Scholar
• Bristow SM, Bolland MJ, Gamble GD, Leung W, Reid IR. Dietary calcium intake and change in bone mineral density in older adults: a systematic review of longitudinal cohort studies. Eur J Clin Nutr. 2021:1 doi:10.1038/s41430-021-00957-833452413
   PubMed Web of Science ®Google Scholar
• Pinto EB, Nascimento C, Monteiro M, et al. Proposal for a new predictive scale for recurrent risk of fall in a cohort of community-dwelling patients with stroke. J Stroke Cerebrovasc Dis. 2016;25(11):2619–2626. doi:10.1016/j.jstrokecerebrovasdis.2016.06.04527475520
   PubMed Web of Science ®Google Scholar
• Caetano MJD, Lord SR, Allen NE, et al. Executive functioning, muscle power and reactive balance are major contributors to gait adaptability in people with Parkinson’s disease. Front Aging Neurosci. 2019;11:154. doi:10.3389/fnagi.2019.0015431316371
   PubMed Web of Science ®Google Scholar
• Prato SCF, Andrade SM, Cabrera MAS, et al. Frequency and factors associated with falls in adults aged 55 years or more. Rev Saude Publica. 2017;51:37. doi:10.1590/s1518-8787.201705100540928489183
   PubMed Web of Science ®Google Scholar
• Sex LE. Differences in fear of falling among older adults with low grip strength. Iran J Public Health. 2016;45(5):569–577.27398329
   PubMed Web of Science ®Google Scholar
• Paillard T. Relationship between muscle function, muscle typology and postural performance according to different postural conditions in young and older adults. Front Physiol. 2017;8:585. doi:10.3389/fphys.2017.0058528861000
   PubMed Web of Science ®Google Scholar
• Laddu DR, Parimi N, Stone KL, et al. Physical activity trajectories and associated changes in physical performance in older men: the MrOS study. J Gerontol a Biol Sci Med Sci. 2020;75(10):1967–1973. doi:10.1093/gerona/glaa07332232383
   PubMed Web of Science ®Google Scholar
• Kato S, Murakami H, Demura S, et al. Abdominal trunk muscle weakness and its association with chronic low back pain and risk of falling in older women. BMC Musculoskelet Disord. 2019;20(1):273. doi:10.1186/s12891-019-2655-431159812
   PubMed Web of Science ®Google Scholar
• Xu JC, Silvano AP, Keller A, et al. Identifying and characterizing types of balance recovery strategies among females and males to prevent injuries in free-standing public transport passengers. Front Bioeng Biotechnol. 2021;9:670498. doi:10.3389/fbioe.2021.67049834291040
   PubMed Web of Science ®Google Scholar
• Gade GV, Jorgensen MG, Ryg J, Masud T, Jakobsen LH, Andersen S. Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL). BMC Geriatr. 2021;21(1):402. doi:10.1186/s12877-021-02346-z34193084
   PubMed Web of Science ®Google Scholar
• Martins AC, Moreira J, Silva C, et al. Multifactorial screening tool for determining fall risk in community-dwelling adults aged 50 years or over (FallSensing): protocol for a prospective study. JMIR Res Protoc. 2018;7(8):e10304. doi:10.2196/1030430072360
   PubMed Web of Science ®Google Scholar
• Pavol MJ, Owings TM, Foley KT, et al. Influence of lower extremity strength of healthy older adults on the outcome of an induced trip. J Am Geriatr Soc. 2002;50(2):256–262.
   Google Scholar
• Zhang SL, Liu D, Yu DZ, et al. Multisensory exercise improves balance in people with balance disorders: a systematic review. Curr Med Sci. 2021;41(4):635–648. doi:10.1007/s11596-021-2417-z34403086
   PubMed Web of Science ®Google Scholar
• Noohi F, Kinnaird C, De Dios Y, et al. Deactivation of somatosensory and visual cortices during vestibular stimulation is associated with older age and poorer balance. PLoS One. 2019;14(9):e0221954. doi:10.1371/journal.pone.022195431513630
   PubMed Web of Science ®Google Scholar