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BioMed Research International
Volume 2014, Article ID 321048, 5 pages
http://dx.doi.org/10.1155/2014/321048
Research Article

A Pilot Study of Partial Unweighted Treadmill Training in Mobility-Impaired Older Adults

1Geriatric Research, Education and Clinical Center, Veteran’s Affairs Medical Center, Durham, NC 27710, USA
2Aging Center/Pepper OAIC, Duke University, Durham, NC 27710, USA
3Division of Geriatrics, Department of Medicine, Duke University, Durham, NC 27710, USA
4Division of Speech and Audiology, Department of Surgery, Duke University Medical Center, Durham, NC 27710, USA
5Pratt School of Engineering, Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA

Received 12 April 2013; Accepted 7 January 2014; Published 19 February 2014

Academic Editor: Eva Widerstrom-Noga

Copyright © 2014 Matthew J. Peterson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background. Partial unweighted treadmill training is a potentially effective modality for improving fitness and function in frail elders. We tested the feasibility of partial unweighted treadmill training in older, mobility-impaired veterans. Methods. Eight mobility-impaired elders participated in partial unweighted treadmill training three times/week for twelve weeks. Outcome measures included gait speed, performance-oriented mobility assessment (POMA), eight foot up and go, and the SF-36 physical functioning short form. Results. There was significant improvement in treadmill walking time (+8.5 minutes; ), treadmill walking speed (+0.14 meters/second; ), and percent of body weight support (−2.2%; ). Changes in physical performance included usual gait speed (+0.12 meters/second; ), rapid gait speed (+0.13 meters/second; ), POMA (+2.4 summary score; ), and eight foot up and go (−1.2 seconds; ). Conclusions. Partial unweighted treadmill training is feasible in mobility-impaired elders. Improvements in treadmill training capacity resulted in clinically meaningful improvements in fitness levels and improved mobility.

1. Introduction

Body weight supported treadmill training (BWSTT) has emerged over the last twenty years as a rehabilitation method focused on improving gait and function [110]. Reports of improved over-ground walking speed as a result of BWSTT are of particular interest, as impaired walking is a strong predictor of numerous adverse health outcomes [1113]. We view certain components of BWSTT (principally partial unweighting) as potentially very effective in improving the fitness and function of slow and/or unsteady walking elders. In a clinical setting, over many years, we have observed slow walking elders avoid treadmill training due to perceived or real functional deficits. Therefore, partial unweighted treadmill training has potential to fill a clinical need for mobility-impaired participants in an outpatient exercise and health promotion program for senior veterans (see program description below). We hypothesize that even a minimal amount of unweighting can increase comfort and safety, decrease cardiovascular and musculoskeletal system demands, increase treadmill time tolerated, and subsequently improve fitness and function.

2. Materials and Methods

2.1. Participants

Participants () were active patients in Gerofit, an outpatient exercise and health promotion program at the Durham Veteran’s Affairs Medical Center that has been described in detail [14, 15]. Entry into the Gerofit program requires VA primary provider approval, independence in activities of daily living (e.g., able to function independently in the program), and the ability to provide own transportation to and from the program. Additionally, exclusion criteria for Gerofit participation include unstable angina, proliferative diabetic retinopathy, oxygen dependence, incontinence, open wounds, active substance abuse or homelessness, and behavioral issues that preclude one from participating in a group setting.

The Gerofit program meets 3 days a week, with participants exercising for 60 to 90 minutes per session. A typical exercise session consists of 10 minutes of warm-up exercises, 20 to 40 minutes of aerobic exercise, 15 to 20 minutes of strengthening exercises, and 20 minutes of floor exercises designed to focus on musculoskeletal strengthening, flexibility, balance, and coordination. Participants were required to have been enrolled and actively participating in Gerofit for a minimum of six months to minimize physiologic training effects due to regular exercise. Study inclusion criteria also included either having a usual gait speed of less than 1.0 meter/second [12], or inability to walk safely on a treadmill as determined by Gerofit staff. This study was approved by the Durham VA Institutional Review Board, and all participants provided written consent prior to participation in the study.

2.2. Intervention

Partial unweighted treadmill training was conducted three days per week for twelve weeks. The initial weight support, treadmill speed, and walking time were individualized based on ability, and the training sessions were incorporated into the participants’ Gerofit routine. The baseline functional assessment, in particular usual gait speed, was used as an indicator of initial treadmill walking speed for participants. For example, if over-ground gait speed was 0.60 meters/sec (~1.3 miles/hour), then the target initial treadmill walking speed was at or near this walking speed. The first training session was then devoted to acclimation to the treadmill and harness system and confirming a comfortable walking speed and percent body weight support for each participant. An exercise physiologist supervised all training sessions, and progressions throughout the intervention followed the guidelines of the American College of Sports Medicine [16]. The Borg rating of perceived exertion [17] was used as a measure of exercise intensity and monitored throughout the intervention. The Borg scale ranges from 6 (no effort) to 20 (maximal effort), with a range of 12–14 generally indicating moderate intensity activity. Participants were asked after approximately one to two minutes of walking, “How hard are you working right now?” Treadmill speed was increased or decreased accordingly, based on exertion levels above or below the target window of 12–14. Perceived exertion was then reevaluated every two to three minutes throughout their treadmill walking session with the goal of remaining at the 12–14 exertion level. The focus of progression occurred in the following order: (1) walking time increased by approximately 10%, (2) walking speed increased by approximately 10%, and (3) weight support decreased by approximately 10%. Increasing treadmill walking time was the first priority, as the intervention replaced the aerobic portion of the participants’ Gerofit routine. If a participant was able to achieve twenty consecutive minutes of treadmill walking we then focused on increasing walking speed with a goal of 1.0 meters/second (~2.2 miles/hour). Changes in unweighting were given the lowest priority, as the amount required for safe and comfortable walking was minimal (~5-6%) from the onset.

2.3. Measures
2.3.1. Health and Functional Measures

Usual and rapid gait speed was collected by measuring time taken to walk eight feet at a normal pace and as fast as possible. This test was administered using a digital stop watch and strictly followed the instructions specific to measuring gait speed as part of the Short Physical Performance Battery [18], which is a well validated test [19]. The eight foot up and go was administered and consists of rising from a chair, walk around a cone eight feet away, and return to a seated position in the chair as fast as safely possible [20, 21]. The performance-oriented mobility assessment (POMA) consists of stability tasks that are related to daily activities as well as a qualitative examination of locomotion pattern. The summary score has a range from 0 to 28 [22]. The SF-36 physical functioning questionnaire was used as a measure of self-reported health limitations. Scores range from 0 to 100 with a higher score indicating better function [23]. A modified version of the Older Americans Resources and Services (OARS) Comorbidity Scale ascertained self-reported prevalent health conditions and symptoms [24]. The original OARS questionnaire is a yes or no checklist of thirty-two comorbid conditions. We modified the questionnaire by adding eleven highly prevalent symptoms in older veterans, including pain, feeling tired, trouble sleeping, depression or memory problems, muscle weakness, dizziness, shakiness, balance problems, fear of falling, and numbness or tingling.

2.3.2. Equipment

The treadmill pulley system was conceptualized, engineered, and assembled in-house by the study team. It essentially consisted of a climbing harness, which was belted around the participants’ thighs and shoulders with adjustable straps (see Figure 1). The harness was then attached to an overhead pulley system. A livestock grade, zeroed scale was suspended from the pulley cable to allow measurement of weight that the pulley system was supporting. The scale was not able to measure dynamic changes in weight due to walking; however, this is a common limitation in commercially available weight-assisted systems. Weight support was adjusted via a manual winch. A secondary safety cable was secured in the unlikely event of a failure of the pulley system.

321048.fig.001
Figure 1: Unweighted treadmill training system (cardiorespiratory data is also being collected).
2.3.3. Data Analysis

Baseline characteristics were examined using univariate procedures. The primary method of data analysis for repeated outcome measures was mixed models or hierarchical linear models, and baseline values for outcomes as well as number of diagnoses/symptoms were entered as covariates in all models. In these models, individual change is represented through a two-level hierarchical model. Significance was set at the level, and all analyses were conducted using SAS v 8.3 statistical software (SAS, Cary, NC).

3. Results

The mean age of the participants was eighty-two years (Table 1). Usual gait speed was less than 1.0 meter/second for all but participant number 3, whose gait speed was 1.1 meters/second. This participant was eligible for the study because of his inability to safely treadmill walk due to early onset Parkinson’s disease. Participant 6 dropped out of the study at seven weeks due to an injurious fall at home. This group had a high burden of disease and symptoms, with a mean of approximately eleven, indicating that this was a frail group as measured by the deficit accumulation index. The most prevalent diseases and symptoms at baseline are shown in Table 2. Hypertension, diabetes, and self-reported balance problems were reported in 56% of participants, while 50% reported hearing problems, heart trouble, muscle weakness, and a fear of falling. Arthritis or rheumatism was prevalent in 38% of participants.

tab1
Table 1: Baseline characteristics of participants.
tab2
Table 2: Prevalent diseases/symptoms in study participants () at baseline.
3.1. Impact on Treadmill Walking Capacity

There was a significant improvement in treadmill walking speed, weight support required, and walking duration (Table 3). The mean treadmill training walking speed improved from 0.80 meters/second at week one to 0.94 meters/second at twelve weeks (). By study completion no one of the participants required weight support during treadmill training. At week one the mean treadmill training time was approximately eleven minutes, and by study completion all participants had achieved the study goal of treadmill training for twenty consecutive minutes ().

tab3
Table 3: Change in speed, percent weight support, and walking time over twelve weeks ().
3.2. Impact on Functional Measures

Functional measures are reported in Table 4. The mean usual gait speed improved by 0.15 meters/second () and rapid gait speed improved by 0.16 meters/second () over twelve weeks. The mean POMA summary score improved by almost four points (21.1 to 24.9; ), and the time to complete the eight foot up and go improved by 1.18 seconds (). There was not a significant improvement in self-reported physical functioning (50.6 to 52.9; ).

tab4
Table 4: Change in functional measures over twelve weeks ().

4. Discussion

This pilot study of unweighted treadmill training in mobility-impaired elders yielded several important findings. Overall there was a 74% improvement in walking time during the intervention (11.5 to 20 minutes; ), suggesting improved aerobic fitness levels of the participants. Another training goal was to progress to treadmill training at a minimum of 1.0 meters/second, and as a group this goal was nearly achieved. This walking speed has been shown to be a clinically important threshold for increased risk of functional loss and declining health [12, 25].

The improvement in usual gait speed (+0.15 meters/second; ) is clinically very meaningful. Hardy and colleagues [26] reported that in Medicare and Veteran’s Affairs older patients, an improvement in gait speed of ≥0.1 meters/second was associated with a 58% reduction in eight-year mortality rates, compared to those whose gait never improved. If the improvements in usual gait speed observed in the present study were maintained, it is plausible that similar survival benefits would be conferred. The mean rapid gait speed at baseline (1.17 meters/second) was slower than published norms [27] and was associated with increased risk for early cognitive decline [28]; however, the improvements observed over twelve weeks (+0.16 meters/second; ) suggest an abatement of this risk.

At baseline, the mean POMA score of 21 suggested a moderate risk of falling [22]. However, at the study’s completion the significant improvement in the mean POMA score to approximately 25 () indicated that the group’s risk of falling was low. Similarly, with the eight foot up and go test, the group’s time to complete the test at baseline (9.3 seconds) was associated with an increased risk of falling (above nine seconds is the risk cut-off), and at twelve weeks (mean = 8.1 seconds; ) that risk was no longer present [20, 21]. These changes are of considerable importance to this group, as two of their most prevalent self-reported conditions at baseline were balance problems (56%) and a fear of falling (50%).

Limitations to this study include having no control group and drawing from a sample of convenience, so generalizing these findings broadly to the community dwelling older adult population should be done with caution. Due to the exploratory nature of this pilot study we cannot speculate into mechanisms (i.e., physiological, biological, and psychological) that lead to observed improvements. Follow-up studies are planned to explore these and other potential mechanisms for change. Whether these changes have an impact on, or are mitigated by, health conditions or their symptoms is of particular interest to us. Another limitation is that the intervention and outcome measures were administered by same person. Lastly, the length of the intervention was minimal at twelve weeks.

5. Conclusions

This pilot study demonstrated the feasibility of unweighted treadmill training in mobility-impaired elders. The significant gains in treadmill training capacity resulted in clinically meaningful improvements in fitness over twelve weeks. More importantly, the magnitude of the group’s improvements in over-ground gait, balance, and mobility was associated with lowered risk for a multitude of adverse health events.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This work was supported by a Burley McGraw Award from the Institute for Medical Research; Durham VA Medical Center; the Duke Claude D. Pepper Older Americans Independence Center NIH/NIA 1P30-AG-028716 and NIH/NCI KM1CA156687.

References

  1. R. Bogey and T. G. Hornby, “Gait training strategies utilized in poststroke rehabilitation: are we really making a difference?” Topics in Stroke Rehabilitation, vol. 14, no. 6, pp. 1–8, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. K. J. Sullivan, B. J. Knowlton, and B. H. Dobkin, “Step training with body weight support: effect of treadmill speed and practice paradigms on poststroke locomotor recovery,” Archives of Physical Medicine and Rehabilitation, vol. 83, no. 5, pp. 683–691, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. L. Finch and H. Barbeau, “Hemiplegic gait: new treatment strategies,” Physiotherapy Canada, vol. 38, no. 1, pp. 36–41, 1986. View at Google Scholar · View at Scopus
  4. B. E. Fisher, A. D. Wu, G. J. Salem et al., “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, vol. 89, no. 7, pp. 1221–1229, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. A. L. Hicks and K. A. Martin Ginis, “Treadmill training after spinal cord injury: it's not just about the walking,” Journal of Rehabilitation Research & Development, vol. 45, no. 2, pp. 241–248, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. A. C. Lo and E. W. Triche, “Improving gait in multiple sclerosis using robot-assisted, body weight supported treadmill training,” Neurorehabilitation & Neural Repair, vol. 22, no. 6, pp. 661–671, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. K. A. Mossberg, E. E. Orlander, and J. L. Norcross, “Cardiorespiratory capacity after weight-supported treadmill training in patients with traumatic brain injury,” Physical Therapy, vol. 88, no. 1, pp. 77–87, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Pohl, J. Mehrholz, C. Ritschel, and S. Rückriem, “Speed-dependent treadmill training in ambulatory hemiparetic stroke patients: a randomized controlled trial,” Stroke, vol. 33, no. 2, pp. 553–558, 2002. View at Publisher · View at Google Scholar · View at Scopus
  9. E. D. Vidoni, A. Tull, and P. Kluding, “Use of three gait-training strategies in an individual with multiple, chronic strokes,” Journal of Neurologic Physical Therapy, vol. 32, no. 2, pp. 88–96, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. E. Hoyer, R. Jahnsen, J. K. Stanghelle, and L. I. Strand, “Body weight supported treadmill training versus traditional training in patients dependent on walking assistance after stroke: a randomized controlled trial,” Disability and Rehabilitation, vol. 34, no. 3, pp. 210–219, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. J. M. Guralnik, “Understanding the relationship between disease and disability,” Journal of the American Geriatrics Society, vol. 42, no. 10, pp. 1128–1129, 1994. View at Google Scholar · View at Scopus
  12. S. Studenski, S. Perera, D. Wallace et al., “Physical performance measures in the clinical setting,” Journal of the American Geriatrics Society, vol. 51, no. 3, pp. 314–322, 2003. View at Publisher · View at Google Scholar · View at Scopus
  13. J. L. Purser, M. Weinberger, H. J. Cohen et al., “Walking speed predicts health status and hospital costs for frail elderly male veterans,” Journal of Rehabilitation Research & Development, vol. 42, no. 4, pp. 535–545, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. M. C. Morey, “Celebrating 20 years of excellence in exercise for the older veteran,” Federal Practitioner, vol. 24, no. 10, pp. 49–65, 2007. View at Google Scholar
  15. M. C. Morey, G. M. Crowley, M. S. Robbins, P. A. Cowper, and R. J. Sullivan Jr., “The Gerofit program: a VA innovation,” Southern Medical Journal, vol. 87, no. 5, pp. S83–S87, 1994. View at Google Scholar · View at Scopus
  16. American College of Sports Medicine, ACSM's Guidelines for Exercise Testing and Prescription, Lippincott Williams & Wilkins, Baltimore, Md, USA, 8th edition, 2009.
  17. G. Borg, Borg's Perceived Exertion and Pain Scales, Human Kinetics Books, Champaign, Ill, USA, 1998.
  18. J. M. Guralnik, T. E. Seeman, M. E. Tinetti, M. C. Nevitt, and L. F. Berkman, “Validation and use of performance measures of functioning in a non-disabled older population: MacArthur studies of successful aging,” Aging, vol. 6, no. 6, pp. 410–419, 1994. View at Google Scholar · View at Scopus
  19. J. M. Guralnik, L. Ferrucci, C. F. Pieper et al., “Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery,” The Journals of Gerontology A, vol. 55, no. 4, pp. M221–M231, 2000. View at Publisher · View at Google Scholar · View at Scopus
  20. R. E. Rikli and C. J. Jones, “Development and validation of a functional fitness test for community-residing older adults,” Journal of Aging and Physical Activity, vol. 7, no. 2, pp. 129–161, 1999. View at Google Scholar · View at Scopus
  21. R. E. Rikli and C. J. Jones, “Functional fitness normative scores for community-residing older adults, ages 60–94,” Journal of Aging and Physical Activity, vol. 7, no. 2, pp. 162–181, 1999. View at Google Scholar · View at Scopus
  22. M. E. Tinetti, “Performance-orientated assessment of mobility problems in elderly patients,” Journal of the American Geriatrics Society, vol. 34, no. 2, pp. 119–126, 1986. View at Google Scholar · View at Scopus
  23. J. E. Ware Jr. and C. D. Sherbourne, “The MOS 36-item short-form health survey (SF-36). I. conceptual framework and item selection,” Medical Care, vol. 30, no. 6, pp. 473–483, 1992. View at Google Scholar · View at Scopus
  24. G. G. Fillenbaum, “OARS multidimensional functional assessment questionnaire,” in The Encyclopedia of Aging, G. Maddox, Ed., Springer, New York, NY, USA, 1st edition, 1987. View at Google Scholar
  25. M. Cesari, S. B. Kritchevsky, B. W. H. J. Penninx et al., “Prognostic value of usual gait speed in well-functioning older people—results from the health, aging and body composition study,” Journal of the American Geriatrics Society, vol. 53, no. 10, pp. 1675–1680, 2005. View at Publisher · View at Google Scholar · View at Scopus
  26. S. E. Hardy, S. Perera, Y. F. Roumani, J. M. Chandler, and S. A. Studenski, “Improvement in usual gait speed predicts better survival in older adults,” Journal of the American Geriatrics Society, vol. 55, no. 11, pp. 1727–1734, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. R. W. Bohannon, “Comfortable and maximum walking speed of adults aged 20–79 years: reference values and determinants,” Age and Ageing, vol. 26, no. 1, pp. 15–19, 1997. View at Publisher · View at Google Scholar · View at Scopus
  28. A. L. Fitzpatrick, C. K. Buchanan, R. L. Nahin et al., “Associations of gait speed and other measures of physical function with cognition in a healthy cohort of elderly persons,” The Journals of Gerontology A, vol. 62, no. 11, pp. 1244–1251, 2007. View at Google Scholar · View at Scopus