Abstract
Research on balance and mobility in older adults has been conducted primarily in lab-based settings in individuals who live in the community. Although they are at greater risk of falls, residents of long-term care facilities, specifically residential care communities (RCCs), have been investigated much less frequently. We sought to determine the feasibility of using portable technology-based measures of balance and muscle strength (i.e., an accelerometer and a load cell) that can be used in any RCC facility. Twenty-nine subjects (age 87 ± 6 years) living in RCCs participated. An accelerometer placed on the back of the subjects measured body sway during different standing conditions. Sway in antero-posterior and mediolateral directions was calculated. Lower extremity strength was measured with a portable load cell and the within-visit reliability was determined. Assessments of grip strength, gait speed, frailty, and comorbidity were also examined. A significant increase in postural sway in both the AP and ML directions occurred as the balance conditions became more difficult due to alteration of sensory feedback (p < 0.001) or reducing the base of support (p < 0.001). There was an association between increased sway and increased frailty, more comorbidities and slower gait speed. All strength measurements were highly reliable (ICC = 0.93–0.99). An increase in lower extremity strength was associated with increased grip strength and gait speed. The portable instruments provide inexpensive ways for measuring balance and strength in the understudied RCC population, but additional studies are needed to examine their relationship with functional outcomes.
Similar content being viewed by others
References
Hyattsville MD National center for health statistics. http://www.cdc.gov/nchs/data/nsltcp/long_term_care_services_2013.pdf
Rubenstein LZ (2006) Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing 35(Suppl 2):ii37–ii41. doi:10.1093/ageing/afl084
Harris-Kojetin L, Sengupta M, Park-Lee E et al (2016) Long-term care providers and services users in the United States: data from the National Study of Long-Term Care Providers, 2013–2014. Vital Health Stat 3(38):x–xii 1–105
Koster A, Penninx BWJH, Newman AB et al (2007) Lifestyle factors and incident mobility limitation in obese and non-obese older adults. Obesity (Silver Spring) 15:3122–3132. doi:10.1038/oby.2007.372
Gill TM, Gahbauer EA, Murphy TE, Han L, Allore HG (2012) Risk factors and precipitants of long-term disability in community mobility: a cohort study of older persons. Ann Intern Med 156:131–140. doi:10.7326/0003-4819-156-2-201201170-00009
Rivera JA, Fried LP, Weiss CO, Simonsick EM (2008) At the tipping point: predicting severe mobility difficulty in vulnerable older women. J Am Geriatr Soc 56:1417–1423. doi:10.1111/j.1532-5415.2008.01819.x
Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society (2011) Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc 59:148–157. doi:10.1111/j.1532-5415.2010.03234.x
O’Sullivan M, Blake C, Cunningham C, Boyle G, Finucane C (2009) Correlation of accelerometry with clinical balance tests in older fallers and non-fallers. Age Ageing 38:308–313. doi:10.1093/ageing/afp009
Whitney SL, Roche JL, Marchetti GF et al (2011) A comparison of accelerometry and center of pressure measures during computerized dynamic posturography: a measure of balance. Gait Posture 33:594–599. doi:10.1016/j.gaitpost.2011.01.015
Chang W-D, Chang W-Y, Lee C-L, Feng C-Y (2013) Validity and reliability of wii fit balance board for the assessment of balance of healthy young adults and the elderly. J Phys Ther Sci 25:1251–1253. doi:10.1589/jpts.25.1251
Horak FB, Mancini M (2013) Objective biomarkers of balance and gait for Parkinson’s disease using body-worn sensors. Mov Disord 28:1544–1551. doi:10.1002/mds.25684
Spain RI, Mancini M, Horak FB, Bourdette D (2014) Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months. Gait Posture 39:958–964. doi:10.1016/j.gaitpost.2013.12.010
Culhane KM, O’Connor M, Lyons D, Lyons GM (2005) Accelerometers in rehabilitation medicine for older adults. Age Ageing 34:556–560. doi:10.1093/ageing/afi192
Stark T, Walker B, Phillips JK, Fejer R, Beck R (2011) Hand-held dynamometry correlation with the gold standard isokinetic dynamometry: a systematic review. PMR 3:472–479. doi:10.1016/j.pmrj.2010.10.025
Frese E, Brown M, Norton BJ (1987) Clinical reliability of manual muscle testing. Middle trapezius and gluteus medius muscles. Phys Ther 67:1072–1076
Conable KM, Rosner AL (2011) A narrative review of manual muscle testing and implications for muscle testing research. J Chiropr Med 10:157–165. doi:10.1016/j.jcm.2011.04.001
Stone CA, Nolan B, Lawlor PG, Kenny RA (2011) Hand-held dynamometry: tester strength is paramount, even in frail populations. J Rehabil Med 43:808–811. doi:10.2340/16501977-0860
Wikholm JB, Bohannon RW (1991) Hand-held dynamometer measurements: tester strength makes a difference. J Orthop Sport Phys Ther 13:191–198. doi:10.2519/jospt.1991.13.4.191
Dura JV, Gianikellis K, Forner A (1996) A strain-gauge uniaxial load cell to evaluate muscular strength level in isometric exercise. ISBS Conf Proc Arch 1:1
Rine RM, Schubert MC, Whitney SL et al (2013) Vestibular function assessment using the NIH toolbox. Neurology 80(Suppl 3):S25–S31. doi:10.1212/WNL.0b013e3182872c6a
Shumway-Cook a, Horak FB (1986) Assessing the influence of sensory interaction of balance. Suggestion from the field. Phys Ther 66:1548–1550. doi:10.2522/ptj.20080227
Guralnik JM, Simonsick EM, Ferrucci L et al (1994) A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 49:M85–M94
Rigler SK, Studenski S, Wallace D, Reker DM, Duncan PW (2002) Co-morbidity adjustment for functional outcomes in community-dwelling older adults. Clin Rehabil 16:420–428
Studenski SA, Lai SM, Duncan PW, Rigler SK (2004) The impact of self-reported cumulative comorbidity on stroke recovery. Age Ageing 33:195–198. doi:10.1093/ageing/afh056
Abellan van Kan G, Rolland Y, Andrieu S et al (2009) Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging 13:881–889
Fried LP, Tangen CM, Walston J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56:M146–M156. doi:10.1093/gerona/56.3.M146
Shrout PE, Fleiss JL (1979) Intraclass correlations. Uses Assessing Rater Reliabilit 86:420–428
Wolfson L, Whipple R, Derby CA et al (1992) A dynamic posturography study of balance in healthy elderly. Neurology 42:2069–2075
Kamen G, Patten C, Du CD, Sison S (1998) An accelerometry-based system for the assessment of balance and postural sway. Gerontology 44:40–45
Moe-Nilssen R, Helbostad JL (2002) Trunk accelerometry as a measure of balance control during quiet standing. Gait Posture 16:60–68
Marchetti GF, Bellanca J, Whitney SL et al (2013) The development of an accelerometer-based measure of human upright static anterior–posterior postural sway under various sensory conditions: test–retest reliability, scoring and preliminary validity of the balance accelerometry measure (BAM). J Vestib Res 23:227–235. doi:10.3233/VES-130490
Allum JH, Adkin AL, Carpenter MG, Held-Ziolkowska M, Honegger F, Pierchala K (2001) Trunk sway measures of postural stability during clinical balance tests: effects of a unilateral vestibular deficit. Gait Posture 14:227–237
Dayhoff NE, Suhrheinrich J, Wigglesworth J, Topp R, Moore S (1998) Balance and muscle strength as predictors of frailty among older adults. J Gerontol Nurs 24:18–27 (quiz 54-55)
Schwenk M, Mohler J, Wendel C et al (2015) Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the Arizona frailty cohort study. Gerontology 61:258–267. doi:10.1159/000369095
Martínez-Ramírez A, Lecumberri P, Gómez M, Rodriguez-Mañas L, García FJ, Izquierdo M (2011) Frailty assessment based on wavelet analysis during quiet standing balance test. J Biomech 44:2213–2220. doi:10.1016/j.jbiomech.2011.06.007
Doheny EP, McGrath D, Greene BR et al (2012) Displacement of centre of mass during quiet standing assessed using accelerometry in older fallers and non-fallers. Conf Proc Annu Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc Annu Conf 2012:3300–3303. doi:10.1109/EMBC.2012.6346670
McGrath D, Doheny EP, Walsh L et al (2012) Taking balance measurement out of the laboratory and into the home: discriminatory capability of novel centre of pressure measurement in fallers and non-fallers. Conf Proc Annu Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc Annu Conf 2012:3296–3299. doi:10.1109/EMBC.2012.6346669
Maki BE, Holliday PJ, Topper AK (1994) A prospective study of postural balance and risk of falling in an ambulatory and independent elderly population. J Gerontol 49:M72–M84
Hasegawa R, Lee C, Koizumi D, Rogers ME (2008) Threshold of lower body muscular strength necessary to perform ADL independently in community-dwelling older adults. Clin Rehabil 22:902–910. doi:10.1177/0269215508094713
Monsell EM, Furman JM, Herdman SJ, Konrad HR, Shepard NT (1997) Computerized dynamic platform posturography. Otolaryngol Head Neck Surg 117:394–398
Brenton-Rule A, Mattock J, Carroll M et al (2012) Reliability of the TekScan MatScan® system for the measurement of postural stability in older people with rheumatoid arthritis. J Foot Ankle Res 5:21. doi:10.1186/1757-1146-5-21
Acknowledgements
This study was supported by funds from the National Institutes of Health, National Institute on Aging (NIH R01AG028086), and by University of Pittsburgh Older Americans Independence Center (NIH P30 AG024827). We thank staff and participants of the following sites from which data has been collected: Asbury Heights site, Seneca Hills Village, and Cumberland Woods Village.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Ethical approval
The study was approved by the Institutional Review Board (IRB) of the University of Pittsburgh.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Rights and permissions
About this article
Cite this article
Alqahtani, B.A., Ferchak, M.A., Huppert, T.J. et al. Standing balance and strength measurements in older adults living in residential care communities. Aging Clin Exp Res 29, 1021–1030 (2017). https://doi.org/10.1007/s40520-016-0693-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40520-016-0693-4