Skip to main content

Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study

Abstract

Background

Previous literature demonstrates the interest of gait analysis to predict cognitive decline in old people.

Aims

This pilot study aims to determine if gait speed or gait variability is a marker able to early identify, among mild cognitive impairment (MCI) subjects, those at risk to develop Alzheimer’s disease (AD) in the future.

Methods

13 MCI subjects were included in 2007. Their gait parameters (walking speed, stride length and gait frequency, regularity and symmetry) were measured in 2007 and 2008 in simple task (ST) and in dual task (DT) using a triaxial accelerometer (Locometrix®). Among the 13 MCI subjects included in 2007, 10 were assessed in 2008. So, 23 (13 in 2007 + 10 in 2008) gait tests were collected. In 2011, MCI people were considered as “MCI+” when they developed AD (between baseline and 2011) and as “MCI−” if they did not. Among the 23 gait tests, 15 were from MCI+ (9 gait tests in 2007 and 6 in 2008) and 8 from MCI− (4 gait tests in 2007 and 4 gait tests in 2008). Mann–Whitney non-parametric U test was used to compare gait parameters of MCI+ and MCI−.

Results

Gait speed, symmetry and regularity were lower in MCI+ than in MCI−.

Discussion

Despite the small sample size, the results presented in this original pilot study are in line as the infrequent previous literature related to this topic. The authors discuss lacks and strengths of this work.

Conclusions

These results suggest that both gait speed and gait variability could be markers to early identify MCI at risk to develop AD.

This is a preview of subscription content, access via your institution.

Abbreviations

AD:

Alzheimer disease

CIRS:

Cumulative Illness Rating Scale

DT:

Dual task

GDS-15:

Geriatric Depression Scale—15 items

MNA:

Mini Nutritional Assessment

MCI:

Mild Cognitive Impairment

MCI+:

MCI who will develop AD

MCI−:

MCI who will not develop AD

MCR:

Motor cognitive risk

MMSE:

Mini Mental State Evaluation

ST:

Simple task

References

  1. Scherder EJ, Eggermont LH, Swaab DF et al (2007) Gait in aging and associated dementias; its relationship with cognition. Neurosci Biobehav Rev 31:485–497

    Article  PubMed  Google Scholar 

  2. Verghese J, Wang C, Lipton RB et al (2007) Quantitative gait dysfunction and risk cognitive decline and dementia. J Neurol Neurosurg Psychiatry 78:929–935

    Article  PubMed  PubMed Central  Google Scholar 

  3. Zimmerman M, Lipton R, Pan J et al (2009) MRI− and MRS− derived hippocampal correlated on quantitative locomotor function in older adults. Brain Res 1291:73–81

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. Annweiler C, Beauchet O, Bartha R et al (2013) Slow gait in MCI is associated with ventricular enlargement: results from the Gait and Brain Study. J Neural Transmit 120:1083–1092

    CAS  Article  Google Scholar 

  5. Annweiler C, Montero-Odasso M (2012) Vascular burden as a substrate for higher-level gait disorders in older adults. A review of brain mapping literature. Panminerva Med 54:189–204

    CAS  PubMed  Google Scholar 

  6. Bruijn SM, Van Impe A, Duysens J et al (2014) White matter microstructural organization and gait stability in older adults. Frontiers Aging Neurosci 6:1–11

    Article  Google Scholar 

  7. Waite LM, Grayson DA, Piguet O et al (2005) Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study. J Neurol Sci 229–230:89–93

    Article  PubMed  Google Scholar 

  8. Mielke MM, Roberts RO, Savica R et al (2013) Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. J Gerontol 68:929–937

    Article  Google Scholar 

  9. Webster KE, Merory JR, Wittwer JE (2006) Gait variability in community dwelling adults with Alzheimer disease. Alzheimer Dis Assoc Disord 20:37–40

    Article  PubMed  Google Scholar 

  10. Ijmker T, Lamoth CJ (2012) Gait and cognition: the relationship between gait stability and variability with executive function in people with and without dementia. Gait Posture 35:126–130

    Article  PubMed  Google Scholar 

  11. Beauchet O, Allali G, Anneweiler C (2009) Gait variability among healthy adults: low and high stride to stride variability are both a reflection of gait stability. Gerontology 200955:702–706

    Article  Google Scholar 

  12. Helbostad JL, Moe-Nilssen R (2003) The effects of gait speed on lateral balance control during walking in healthy elderly. Gait Posture 18:27–36

    Article  PubMed  Google Scholar 

  13. Ayoubi F, Launay C, Anneweiler C et al (2013) Fear of falling, falls and gait variability in older community-dwelling individuals: is there an association? JAGS 61:1236–1238

    Article  Google Scholar 

  14. Beauchet O, Anneweiler C, Montero-Odasso M (2012) Gait control: a specific subdomain of executive function? J Neuro Eng Rehabil 9:12

    Article  Google Scholar 

  15. Moe-Nilssen R, Helbostad JL (2005) Interstride trunk acceleration variability but not step width variability can differentiate between fit and frail older adults. Gait Posture 21:164–170

    Article  PubMed  Google Scholar 

  16. Yogev-Seligman G, Rotem-Galili Y, Mirelman A et al (2010) How does explicit prioritization alter walking during dual-task performance? Effects of age and sex on gait speed and variability. Phys Ther 90:177–186

    Article  Google Scholar 

  17. Montero-Odasso M, Casas A, Hansen KT et al (2009) Quantitative gait analysis under dual-task in older people with mild cognitive impairment: a reliability study. J Neuro Eng Rehabil 6:35

    Article  Google Scholar 

  18. Petersen RC, Doody R, Kurz A et al (2001) Current concepts in mild cognitive impairment. Arch Neurol 58:1985–1992

    CAS  Article  PubMed  Google Scholar 

  19. Morris JC (1993) The clinical dementia rating (CDR): current version and scoring rules. Neurology 43:2412–2414

    CAS  Article  PubMed  Google Scholar 

  20. Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state: a practical method for grading the state of patients for the clinician. J Psychiatry Res 12:189–198

    CAS  Article  Google Scholar 

  21. Mc Kahn G, Drachman D, Folstein M et al (1984) Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s disease. Neurology 34:939–944

    Article  Google Scholar 

  22. Rubenstein LZ, Harker JO, Salva A et al (2001) Screening for undernutrition in geriatric practice: developing the short-form mini nutritional assessment (MNA-SF). J. Geront 56:366–377

    Article  Google Scholar 

  23. Linn BS, Linn MW, Gurel L (1968) Cumulative illness rating scale. J Am Geriatr Soc 16:622–626

    CAS  Article  PubMed  Google Scholar 

  24. Price DD, McGrath PA, Raffi A et al (1983) The validation of visual analogue scales as ratio scale measures of chronic and experimental pain. Pain 17:45–56

    CAS  Article  PubMed  Google Scholar 

  25. Wewers ME, Lowe NK (1990) A critical review of visual analogue scales in the measurement of clinical phenomena. Res Nurs Health 13:227–236

    CAS  Article  PubMed  Google Scholar 

  26. Sheikh JA, Yeasavage JA (1986) Geriatric depression scale (GDS): recent findings and development of a shorter version. In: Tl Brink (ed) Clinical gerontology: a guide to assessment and intervention. Howarth Press, New York, pp 165–172

    Google Scholar 

  27. Katz S, Ford AB, Moskovitz RW et al (1963) Studies of illness of in the aged: the index of MAL: a standardized measure of biological and psychosocial function. JAMA 185:914–919

    CAS  Article  PubMed  Google Scholar 

  28. Lawton MP, Brody EM (1999) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186

    Article  Google Scholar 

  29. Auvinet B, Chaleil D, Barrey E (1999) Accelerometric gait analysis for use in hospital outpatients. Rev Rhum 66:389–397

    CAS  Google Scholar 

  30. Auvinet B, Berrut G, Touzard C et al (2002) Reference data for normal subjects obtained with an accelerometric device. Gait Posture 16:124–134

    Article  PubMed  Google Scholar 

  31. Gillain S, Warzée E, Lekeu F et al (2009) The value of instrumental gait analysis in elderly healthy, MCI or Alzheimer’s disease subjects and a comparison with other clinical tests used in single and dual-task conditions. Ann Phys Rehabil Med 52:453–474

    CAS  Article  PubMed  Google Scholar 

  32. Maquet D, Lekeu F, Warzee E et al (2010) Gait analysis in elderly adult patients with mild cognitive impairment and patients with mild Alzheimer’s disease: simple versus dual task: a preliminary report. Clin Physiol Funct Imaging 30:51–56

    CAS  Article  PubMed  Google Scholar 

  33. Beauchet O, Dubost V, Aminian K et al (2005) Dual-task-related gait changes in the elderly: does the type of cognitive task matter. J Mot Behav 37:459–464

    Google Scholar 

  34. Hausdorff JM, Buchman AS (2013) What links gait speed and MCI with dementia? A fresh look at the association between motor and cognitive function. J Gerontol A Biol Sci Med Sci 68:409–411

    Article  PubMed  PubMed Central  Google Scholar 

  35. Verghese J, Wang C, Lipton RB et al (2013) Motoric cognitive risk syndrome and risk of dementia. J Gerontol A Biol Sci Med Sci 68:412–418

    Article  PubMed  PubMed Central  Google Scholar 

  36. Verghese J, Anneweiler C, Ayers E (2014) Motoric cognitive risk syndrome. Neurology 83:718–726

    Article  PubMed  PubMed Central  Google Scholar 

  37. Muir SW, Speechley M, Wells J et al (2012) Gait assessment in mild cognitive impairment and Alzheimer’s disease: the effect of dual-task challenges across the cognitive spectrum. Gait Posture 35:96–100

    Article  PubMed  Google Scholar 

  38. Montero-Odasso M, Muir SW, Speechley M (2012) Dual-Task complexity affects gait in people with mild cognitive impairment: the interplay between gait variability, dual tasking, and risk of falls. Arch Phys Med Rehabil 93:293–299

    Article  PubMed  Google Scholar 

  39. Beauchet O, Allali G, Anneweiler C et al (2009) Gait variability among healthy adults: low and high stride to stride variability are both a reflection of gait stability. Gerontology 55:702–706

    Article  PubMed  Google Scholar 

  40. Moe-Nilssen R, Aaslund MK, Hodt-Billington C et al (2010) Gait variability measures may represent different constructs. Gait Posture 32:98–101

    Article  PubMed  Google Scholar 

  41. Lindemann U, Najafi B, Zijlstra W et al (2008) Distance to achieve steady state walking speed in frail elderly persons. Gait Posture 27:91–96

    CAS  Article  PubMed  Google Scholar 

  42. Kressig R, Beauchet O (2006) Guidelines for clinical applications of spatio-temporal gait analysis in older adults. Aging clinical and experimental research 18:174–176

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge the Professor Olivier Beauchet, from the CHU of Angers in France, for his lecture and his precious advices in the preparation of this paper.

Conflict of interest

None of the authors have a financial or personal relationship with people or organizations that could inappropriately influence this work.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Author information

Affiliations

Authors

Corresponding author

Correspondence to S. Gillain.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Gillain, S., Dramé, M., Lekeu, F. et al. Gait speed or gait variability, which one to use as a marker of risk to develop Alzheimer disease? A pilot study. Aging Clin Exp Res 28, 249–255 (2016). https://doi.org/10.1007/s40520-015-0392-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-015-0392-6

Keywords

  • Variability
  • Regularity
  • Gait speed
  • MCI
  • Alzheimer disease