Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers

Falls remain a challenge for ageing societies. Strong evidence indicates that a previous fall is the strongest single screening indicator for a subsequent fall and the need for assessing fall risk without accounting for fall history is therefore imperative. Testing in three functional domains (using a total 92 measures) were completed in 84 older women (60–85 years of age), including muscular control, standing balance, and mean and variability of gait. Participants were retrospectively classified as fallers (n = 38) or non-fallers (n = 42) and additionally in a prospective manner to identify first-time fallers (FTFs) (n = 6) within a 12-month follow-up period. Principal component analysis revealed that seven components derived from the 92 functional measures are sufficient to depict the spectrum of functional performance. Inclusion of only three components, related to mean and temporal variability of walking, allowed classification of fallers and non-fallers with a sensitivity and specificity of 74% and 76%, respectively. Furthermore, the results indicate that FTFs show a tendency towards the performance of fallers, even before their first fall occurs. This study suggests that temporal variability and mean spatial parameters of gait are the only functional components among the 92 measures tested that differentiate fallers from non-fallers, and could therefore show efficacy in clinical screening programmes for assessing risk of first-time falling.

[1]  Jeffrey M. Hausdorff,et al.  Increased gait unsteadiness in community-dwelling elderly fallers. , 1997, Archives of physical medicine and rehabilitation.

[2]  A M O Bakheit,et al.  Comparison of three definitions of the mid-stance and mid-swing events of the gait cycle in children , 2006, Disability and rehabilitation.

[3]  T. Hortobágyi,et al.  Aberrations in the control of quadriceps muscle force in patients with knee osteoarthritis. , 2004, Arthritis and rheumatism.

[4]  C. Becker,et al.  Cost of falls in old age: a systematic review , 2010, Osteoporosis International.

[5]  Chunhua Shi Interventions for preventing falls in older people in care facilities and hospitals. , 2014, Orthopedic nursing.

[6]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

[7]  S. Cummings,et al.  Forgetting Falls , 1988, Journal of the American Geriatrics Society.

[8]  Marimuthu Palaniswami,et al.  Support vector machines for automated gait classification , 2005, IEEE Transactions on Biomedical Engineering.

[9]  Thurmon E Lockhart,et al.  Dynamic stability differences in fall-prone and healthy adults. , 2008, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[10]  Prospektiver Vergleich von Assessments zur Beurteilung der Sturzgefahr bei Pflegeheimbewohnern , 2009, Zeitschrift für Gerontologie und Geriatrie.

[11]  P. Beek,et al.  Is slow walking more stable? , 2009, Journal of biomechanics.

[12]  Ciara M O'Connor,et al.  Automatic detection of gait events using kinematic data. , 2007, Gait & posture.

[13]  Sarah E Lamb,et al.  Systematic review of accuracy of screening instruments for predicting fall risk among independently living older adults. , 2008, Journal of rehabilitation research and development.

[14]  Olivier Beauchet,et al.  A screening tool with five risk factors was developed for fall-risk prediction in community-dwelling elderly. , 2011, Journal of clinical epidemiology.

[15]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[16]  P. Gerdhem,et al.  Clinical history and biologic age predicted falls better than objective functional tests. , 2005, Journal of clinical epidemiology.

[17]  R. Sattin Falls among older persons: a public health perspective. , 1992, Annual review of public health.

[18]  Jaap H van Dieën,et al.  Local dynamic stability and variability of gait are associated with fall history in elderly subjects. , 2012, Gait & posture.

[19]  J. Close,et al.  Prevention of falls in older people , 2005, Disability and rehabilitation.

[20]  Andreas Daffertshofer,et al.  PCA in studying coordination and variability: a tutorial. , 2004, Clinical biomechanics.

[21]  R. Cumming,et al.  Interventions for preventing falls in older people in care facilities and hospitals. , 2014, Orthopedic nursing.

[22]  Ngaire Kerse,et al.  Interventions for preventing falls in older people in nursing care facilities and hospitals. , 2010, The Cochrane database of systematic reviews.

[23]  C. Persad,et al.  Assessing falls in the elderly: should we use simple screening tests or a comprehensive fall risk evaluation? , 2010, European journal of physical and rehabilitation medicine.

[24]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[25]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[26]  A Stefanie Mikolaizak,et al.  Gait parameter risk factors for falls under simple and dual task conditions in cognitively impaired older people. , 2013, Gait & posture.

[27]  Torsten Bumgarner,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[28]  L G Carlton,et al.  Old adults exhibit greater motor output variability than young adults only during rapid discrete isometric contractions. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  Keith Hill,et al.  Design-related bias in hospital fall risk screening tool predictive accuracy evaluations: systematic review and meta-analysis. , 2007, The journals of gerontology. Series A, Biological sciences and medical sciences.

[30]  Julie Byles,et al.  Validation of self-reported fall events in intervention studies , 2006, Clinical rehabilitation.

[31]  L. Bouter,et al.  Fall-risk screening test: a prospective study on predictors for falls in community-dwelling elderly. , 2001, Journal of clinical epidemiology.

[32]  S. Studenski,et al.  Gait Variability Is Associated with Subclinical Brain Vascular Abnormalities in High-Functioning Older Adults , 2007, Neuroepidemiology.

[33]  Navrag B. Singh,et al.  Kinematic measures for assessing gait stability in elderly individuals: a systematic review , 2011, Journal of The Royal Society Interface.

[34]  J. Knottnerus,et al.  A risk model for the prediction of recurrent falls in community-dwelling elderly: a prospective cohort study. , 2002, Journal of clinical epidemiology.

[35]  L L Lumsden,et al.  PUBLIC HEALTH PERSPECTIVE. , 1919, American journal of public health.

[36]  K. Delbaere,et al.  The Physical Performance Test as a predictor of frequent fallers: a prospective community-based cohort study , 2006, Clinical rehabilitation.

[37]  C R Palmer,et al.  Quality improvement for patients with hip fracture: experience from a multi-site audit , 2002, Quality & safety in health care.

[38]  T.E. Prieto,et al.  Measures of postural steadiness: differences between healthy young and elderly adults , 1996, IEEE Transactions on Biomedical Engineering.

[39]  Adamantios Arampatzis,et al.  Effect of fatigue on force fluctuations in knee extensors in young adults , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[40]  Daniel Hamacher,et al.  Towards clinical application: repetitive sensor position re-calibration for improved reliability of gait parameters. , 2014, Gait & posture.

[41]  Lora Giangregorio,et al.  A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work? , 2008, Age and ageing.

[42]  Eva Negri,et al.  Risk Factors for Falls in Community-dwelling Older People: A Systematic Review and Meta-analysis , 2010, Epidemiology.

[43]  Jeffrey M. Hausdorff Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling. , 2009, Chaos.

[44]  Peter J Beek,et al.  Stepping strategies for regulating gait adaptability and stability. , 2013, Journal of biomechanics.

[45]  P. Shekelle,et al.  Will my patient fall? , 2007, JAMA.

[46]  Orthopaedic Surgeons Panel On Falls Prevention Guideline for the Prevention of Falls in Older Persons , 2001 .

[47]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[48]  S. Studenski,et al.  Special article: gait measures indicate underlying focal gray matter atrophy in the brain of older adults. , 2008, The journals of gerontology. Series A, Biological sciences and medical sciences.

[49]  Kade Paterson,et al.  Stride dynamics, gait variability and prospective falls risk in active community dwelling older women. , 2011, Gait & posture.

[50]  Navrag B. Singh,et al.  Extreme Levels of Noise Constitute a Key Neuromuscular Deficit in the Elderly , 2012, PloS one.

[51]  H Nickens,et al.  Intrinsic factors in falling among the elderly. , 1985, Archives of internal medicine.

[52]  N. Hamajima,et al.  Influence of spinal sagittal alignment, body balance, muscle strength, and physical ability on falling of middle-aged and elderly males , 2013, European Spine Journal.

[53]  B. E. Maki,et al.  Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear? , 1997, Journal of the American Geriatrics Society.

[54]  B. E. Maki,et al.  A prospective study of postural balance and risk of falling in an ambulatory and independent elderly population. , 1994, Journal of gerontology.

[55]  R. Fitzpatrick,et al.  A structural equation model relating impaired sensorimotor function, fear of falling and gait patterns in older people. , 2007, Gait & posture.

[56]  L. Rubenstein Falls in older people: epidemiology, risk factors and strategies for prevention. , 2006, Age and ageing.

[57]  Pamela W. Duncan,et al.  Guideline for the Prevention of Falls in Older Persons , 2001 .

[58]  Sarah E Lamb,et al.  Interventions for preventing falls in older people living in the community. , 2009, The Cochrane database of systematic reviews.

[59]  Koen Milisen,et al.  Fall Prediction in Inpatients by Bedside Nurses Using the St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) Instrument: A Multicenter Study , 2007, Journal of the American Geriatrics Society.

[60]  R. Cumming,et al.  A simple tool predicted probability of falling after aged care inpatient rehabilitation. , 2011, Journal of clinical epidemiology.

[61]  A. Campbell,et al.  Risk factors for falls in a community-based prospective study of people 70 years and older. , 1989, Journal of gerontology.

[62]  René Schwesig,et al.  Can falls be predicted with gait analytical and posturographic measurement systems? A prospective follow-up study in a nursing home population , 2013, Clinical rehabilitation.

[63]  Tony W. Wilson,et al.  Stride-time variability and sensorimotor cortical activation during walking , 2012, NeuroImage.

[64]  Bart Jansen,et al.  Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk. , 2011, Gait & posture.

[65]  Edgar Ramos Vieira,et al.  Can Falls Risk Prediction Tools Correctly Identify Fall-Prone Elderly Rehabilitation Inpatients? A Systematic Review and Meta-Analysis , 2012, PloS one.