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Ambulatory Activity in People with Early Parkinson's Disease

Published online by Cambridge University Press:  20 November 2015

Robyn M. Lamont ,
Meg E. Morris ,
Marjorie H. Woollacott  and
Sandra G. Brauer
Robyn M. Lamont*
Affiliation:
Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD 4072, Australia Asia-Pacific Centre for Neuromodulation, UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
Meg E. Morris
Affiliation:
School of Allied Health, College of Science, Health and Engineering, LaTrobe University, Melbourne, VIC 3086, Australia
Marjorie H. Woollacott
Affiliation:
Department of Human Physiology, The University of Oregon, Eugene, Oregon 97401, USA
Sandra G. Brauer
Affiliation:
Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
*
Address for correspondence: Robyn M. Lamont, Division of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane QLD 4072, Australia. E-mail: r.lamont@uq.edu.au
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Abstract

People with Parkinson's disease (PD) are encouraged to participate in physical activity levels equivalent to those recommended for the general population. Understanding factors that influence this activity is important for facilitating this participation. This study examined factors associated with participation in moderate and high intensity daily ambulatory activity in people with mild to moderate PD. Fifty community-dwelling people with mild-moderate PD were monitored with accelerometers over three days to characterise their daily ambulatory activity levels. Personal factors, disease characteristics, gait and cognitive capacity were measured. Prediction models were created to identify factors influencing ambulation activity. People with PD spent approximately 77 minutes walking per day, mostly at a moderate intensity resulting in a median of 6300 steps/day. Disease severity predicted time spent in moderate ambulation bouts (R2 = 0.116, p = .017). Gait (Timed Up and Go (TUG) Test) and executive function together predicted engagement in high intensity ambulatory activity (R2 > 0.170, p < .022). While disease severity, gait performance and executive function were predictive of engagement in moderate and high intensity walking activity, additional personal and social factors should be considered and are likely to also strongly impact on activity levels.

Keywords

Parkinson’s diseaseambulatory activityintensity
Type
Articles
Information
Brain Impairment , Volume 17 , Issue 1: Physical Activity in Neurological Populations , March 2016 , pp. 87 - 98
Copyright
Copyright © Australasian Society for the Study of Brain Impairment 2015 

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References

Allen, M.S., & Vella, S.A. (2015). Longitudinal determinants of walking, moderate, and vigorous physical activity in Australian adults. Preventive Medicine, 78, 101–104. doi: 10.1016/j.ypmed.2015.07.014.CrossRefGoogle ScholarPubMed
Asano, M., Miller, W.C., & Eng, J.J. (2007). Development and psychometric properties of the ambulatory self-confidence questionnaire. Gerontology, 53 (6), 373–381.CrossRefGoogle ScholarPubMed
Ayabe, M., Kumahara, H., Morimura, K., & Tanaka, H. (2013). Epoch length and the physical activity bout analysis: An accelerometry research issue. BMC Research Notes, 6, 20. doi: 10.1186/1756-0500-6-20.CrossRefGoogle ScholarPubMed
Benka Wallen, M., Franzen, E., Nero, H., & Hagstromer, M. (2015). Levels and patterns of physical activity and sedentary behavior in elderly individuals with mild to moderate Parkinson disease. Physical Therapy. doi: 10.2522/ptj.20140374.CrossRefGoogle ScholarPubMed
Brauer, S.G., Lamont, R.M., Morris, M.E., & Woollacott, M.H. (2010). Reliability and validity of the ambulatory self-confidence questionnaire in people with Parkinson's Disease. Movement Disorders, 25, S685.Google Scholar
Brauer, S.G., Woollacott, M.H., Lamont, R., Clewett, S., O’Sullivan, J., Silburn, P., . . . Morris, M.E. (2011). Single and dual task gait training in people with Parkinson's disease: A protocol for a randomised controlled trial. BMC Neurology, 11, 90.CrossRefGoogle ScholarPubMed
Burgess, P., & Shallice, T. (1997). The hayling and brixton tests. Bury St, Edmunds: Thames Valley Test Company.Google Scholar
Busse, M.E., van Deursen, R.W., & Wiles, C.M. (2009). Real-life step and activity measurement: Reliability and validity. Journal of Medical Engineering and Technology, 33 (1), 33–41. doi: 10.1080/03091900701682606.CrossRefGoogle ScholarPubMed
Cavanaugh, J.T., Ellis, T.D., Earhart, G.M., Ford, M.P., Foreman, K.B., & Dibble, L.E. (2012). Capturing ambulatory activity decline in Parkinson's disease. Journal of Neurologic Physical Therapy, 36 (2), 51–57. doi: 10.1097/NPT.0b013e318254ba7a.CrossRefGoogle ScholarPubMed
Chastin, S.F., Baker, K., Jones, D., Burn, D., Granat, M.H., & Rochester, L. (2010). The pattern of habitual sedentary behavior is different in advanced Parkinson's disease. Movement Disorders, 25 (13), 2114–2120. doi: 10.1002/mds.23146.CrossRefGoogle ScholarPubMed
Cohen, J.W. (1988). Statistical power for the behavioural sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Delis, D.C., Kaplan, E., & Kramer, J. (2001). Delis kaplan executive function system. San Antonio, TX: The Psychological Corporation.Google Scholar
Dontje, M.L., de Greef, M.H., Speelman, A.D., van Nimwegen, M., Krijnen, W.P., Stolk, R.P., . . . van der Schans, C.P. (2013). Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease. Parkinsonism Relat Disord, 19 (10), 878–882. doi: 10.1016/j.parkreldis.2013.05.014.CrossRefGoogle ScholarPubMed
Edwardson, C.L., & Gorely, T. (2010). Epoch length and its effect on physical activity intensity. Medicine and Science in Sports and Exercise, 42 (5), 928–934. doi: 10.1249/MSS.0b013e3181c301f5.CrossRefGoogle ScholarPubMed
Feito, Y., Bassett, D.R., & Thompson, D.L. (2012). Evaluation of activity monitors in controlled and free-living environments. Medicine and Science in Sports and Exercise, 44 (4), 733–741.CrossRefGoogle ScholarPubMed
Fisher, B.E., Wu, A.D., Salem, G.J., Song, J., Lin, C.H., Yip, J., . . . Petzinger, G. (2008). The effect of exercise training in improving motor performance and corticomotor excitability in people with early Parkinson's disease. Archives of Physical Medicine and Rehabilitation, 89 (7), 1221–1229. doi: 10.1016/j.apmr.2008.01.013.CrossRefGoogle ScholarPubMed
Goetz, C.G., Tilley, B.C., Shaftman, S.R., Stebbins, G.T., Fahn, S., Martinez-Martin, P., . . . LaPelle, N. (2008). Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Movement Disorders, 23 (15), 2129–2170. doi: 10.1002/mds.22340.CrossRefGoogle ScholarPubMed
Grant, P.M., Dall, P.M., Mitchell, S.L., & Granat, M.H. (2008). Activity-monitor accuracy in measuring step number and cadence in community-dwelling older adults. Journal of Aging and Physical Activity, 16 (2), 201–214.CrossRefGoogle ScholarPubMed
Hoehn, M.M., & Yahr, M.D. (1967). Parkinsonism: Onset, progression and mortality. Neurology, 17 (5), 427–442.CrossRefGoogle ScholarPubMed
Jack, E., & McCormack, G.R. (2014). The associations between objectively-determined and self-reported urban form characteristics and neighborhood-based walking in adults. The International Journal of Behavioral Nutrition and Physical Activity, 11, 71. doi: 10.1186/1479-5868-11-71.CrossRefGoogle ScholarPubMed
Jenkinson, C., Fitzpatrick, R., Peto, V., Greenhall, R., & Hyman, N. (1997). The Parkinson's disease questionnaire (PDQ-39): Development and validation of a Parkinson's disease summary index score. Age and Ageing, 26 (5), 353–357.CrossRefGoogle ScholarPubMed
Keus, Samyra H.J., Munneke, M., Graziano, M., Paltamaa, J., Pelosin, E., Domingos, J., . . . Bloem, B.R. (2014). European physiotherapy guideline for Parkinson's disease. Netherlands.Google Scholar
Knarr, B., Roos, M.A., & Reisman, D.S. (2013). Sampling frequency impacts measurement of walking activity after stroke. Journal of Rehabilitation Research and Development, 50 (8), 1107–1112. doi: 10.1682/jrrd.2012.12.0225.CrossRefGoogle ScholarPubMed
Lord, S., Godfrey, A., Galna, B., Burn, D., & Rochester, L. (2012). Patterns of daily ambulatory activity are different in early Parkinson's disease compared with controls. Movement Disorders, 27, S512–S513.Google Scholar
Lord, S., Godfrey, A., Galna, B., Mhiripiri, D., Burn, D., & Rochester, L. (2013). Ambulatory activity in incident Parkinson's: More than meets the eye? Journal of Neurology, 260 (12), 2964–2972. doi: 10.1007/s00415-013-7037-5.CrossRefGoogle ScholarPubMed
Manns, P.J., & Baldwin, E. (2009). Ambulatory activity of stroke survivors: Measurement options for dose, intensity, and variability of activity. Stroke, 40 (3), 864–867. doi: 10.1161/strokeaha.108.531590.CrossRefGoogle ScholarPubMed
Moore, S.T., MacDougall, H.G., & Ondo, W.G. (2008). Ambulatory monitoring of freezing of gait in Parkinson's disease. Journal of Neuroscience Methods, 167 (2), 340–348. doi: 10.1016/j.jneumeth.2007.08.023.CrossRefGoogle ScholarPubMed
Robertson, I.H., Ward, T., Ridgeway, V., & Nimmo-Smith, I. (1994). The test of everyday attention. Bury St. Edmunds: Thames Valley Test Company.Google Scholar
Ryan, C.G., Grant, P.M., Tigbe, W.W., & Granat, M.H. (2006). The validity and reliability of a novel activity monitor as a measure of walking. British Journal of Sports Medicine, 40 (9), 779–784.CrossRefGoogle ScholarPubMed
Skidmore, F.M., Mackman, C.A., Pav, B., Shulman, L.M., Garvan, C., Macko, R.F., . . . Heilman, K.M. (2008). Daily ambulatory activity levels in idiopathic Parkinson disease. Journal of Rehabilitation Research and Development, 45 (9), 1343–1348.CrossRefGoogle ScholarPubMed
Speelman, A.D., van de Warrenburg, B.P., van Nimwegen, M., Petzinger, G.M., Munneke, M., & Bloem, B.R. (2011). How might physical activity benefit patients with Parkinson disease? Nat Rev Neurol, 7 (9), 528–534. doi: 10.1038/nrneurol.2011.107.CrossRefGoogle ScholarPubMed
Speelman, A.D., van Nimwegen, M., Bloem, B.R., & Munneke, M. (2014). Evaluation of implementation of the ParkFit program: A multifaceted intervention aimed to promote physical activity in patients with Parkinson's disease. Physiotherapy, 100 (2), 134–141. doi: 10.1016/j.physio.2013.05.003.CrossRefGoogle Scholar
Tanaka, K., Quadros, A.C. Jr., Santos, R.F., Stella, F., Gobbi, L.T., & Gobbi, S. (2009). Benefits of physical exercise on executive functions in older people with Parkinson's disease. Brain and Cognition, 69 (2), 435–441. doi: 10.1016/j.bandc.2008.09. 008.CrossRefGoogle ScholarPubMed
Trail, M., Petersen, N.J., Nelson, N., & Lai, E.C. (2012). An exploratory study of activity in veterans with Parkinson's disease. Journal of Neurology, 259 (8), 1686–1693. doi: 10.1007/s00415-011-6400-7.CrossRefGoogle ScholarPubMed
van Nimwegen, M., Speelman, A.D., Hofman-van Rossum, E.J., Overeem, S., Deeg, D.J., Borm, G.F., . . . Munneke, M. (2011). Physical inactivity in Parkinson's disease. Journal of Neurology, 258 (12), 2214–2221. doi: 10.1007/s00415-011-6097-7.CrossRefGoogle ScholarPubMed
World Health Organization. (2001). International classification of functioning, disability and health. Geneva: World Health Organization.Google Scholar
World Health Organization. (2010). Global recommendations on physical activity for health. Switzerland: WHO Press.Google Scholar
Zigmond, M.J., & Smeyne, R.J. (2014). Exercise: Is it a neuroprotective and if so, how does it work? Parkinsonism & Related Disorders, 20 (Suppl. 1), S123–S127. doi: 10.1016/s1353-8020(13)70030-0.CrossRefGoogle ScholarPubMed