The Use of Pedometers in Stroke Survivors: Are They Feasible and How Well Do They Detect Steps?

Carroll, Sarah L.; Greig, Carolyn; Lewis, Susan J.; McMurdo, Marion E. T.; Sniehotta, Falko F.; Johnston, Marie; Johnston, Derek; Scopes, Judy; Mead, Gillian

doi:10.1016/j.apmr.2011.08.047

Cited by 56 publications

(48 citation statements)

References 17 publications

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“…These devices include wrist-worn accelerometers, 294,326 ankle-worn accelerometers, 325 step-activity monitors, 328,350 and the more economical alternative, pedometers. 327 Recording movements allow the clinician to measure the quantity and sometimes the types of movements occurring in everyday life.…”

Section: Iia Bmentioning

confidence: 99%

Guidelines for Adult Stroke Rehabilitation and Recovery

Winstein¹,

Stein²,

Arena

et al. 2016

Stroke

2,187

840

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e98Purpose-The aim of this guideline is to provide a synopsis of best clinical practices in the rehabilitative care of adults recovering from stroke. Methods-Writing group members were nominated by the committee chair on the basis of their previous work in relevant topic areas and were approved by the American Heart Association (AHA) Stroke Council's Scientific Statement Oversight Committee and the AHA's Manuscript Oversight Committee. The panel reviewed relevant articles on adults using computerized searches of the medical literature through 2014. The evidence is organized within the context of the AHA framework and is classified according to the joint AHA/American College of Cardiology and supplementary AHA methods of classifying the level of certainty and the class and level of evidence. The document underwent extensive AHA internal and external peer review, Stroke Council Leadership review, and Scientific Statements Oversight Committee review before consideration and approval by the AHA Science Advisory and Coordinating Committee. Results-Stroke rehabilitation requires a sustained and coordinated effort from a large team, including the patient and his or her goals, family and friends, other caregivers (eg, personal care attendants), physicians, nurses, physical and occupational therapists, speech-language pathologists, recreation therapists, psychologists, nutritionists, social workers, and others. Communication and coordination among these team members are paramount in maximizing the effectiveness

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Section: Iia Bmentioning

confidence: 99%

Guidelines for Adult Stroke Rehabilitation and Recovery

Winstein¹,

Stein²,

Arena

et al. 2016

Stroke

2,187

840

View full text Add to dashboard Cite

show abstract

“…There are some studies using accelometers that proved a low PA level of stroke patients (12,31). As pedometers were also found feasible to evaluate the PA level of stroke patients (22,32), we preferred to use a pedometer and found that the step count and walking distance in the stroke group were significantly less than those in the healthy group. This means these ambulatory stroke patients should not be overlooked as they have a high motor function to be able to walk in the community.…”

Section: Discussionmentioning

confidence: 99%

“…OMRON step Counter type Walking Style II was used with this aim (22). OMRON step Counter type Walking Style II is a uniaxial spring-levered pedometer, which releases data on the total number of daily steps and total distance walked.…”

Section: Outcome Measurementsmentioning

confidence: 99%

Physical Activity Level of Ambulatory Stroke Patients: Is it Related to Neuropsychological Factors?

Hüseyinsinoğlu

Aslan

Tarakçı

et al. 2017

Arch Neuropsychiatr

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Introduction: Physical inactivity is an important risk factor for stroke and stroke recurrence. There is insufficient knowledge about the physical activity (PA) level in stroke patients who are ambulatory in the subacute phase. Our aim was to compare the PA level between ambulatory stroke patients and a population of the same age and to investigate neuropsychological factors that could affect the PA level in the same stroke group.Methods: Eighty-five subacute stroke patients and 58 healthy subjects were included. Patients' demographic features, disease-related features, and comorbidities were recorded. The PA level was assessed by the International Physical Activity Questionnaire-Short Version and a pedometer (OMRON Walking style II). The Apathy Rating Scale was applied to determine the apathy level. Depression level was investigated by the Geriatric Depression Scale. The standardized Mini-mental State Examination was performed to assess the cognitive status.Results: The PA level was significantly higher in the healthy group than in the stroke group (p<0.001).Step count and walking distance were significantly higher in healthy group (p=0.001 and p=0.04, respectively). The PA level of men was significantly higher than that of women (p=0.03). Participants who were classified as level 4 had a lower PA level than those who were classified as level 5 according to the Functional Ambulation Category. There was no relationship between the PA level and the apathy, cognitive, and depression levels in the stroke patients (p>0.05). Conclusion:Subacute stroke patients have a lower PA level than healthy subjects. This is not related to neuropsychological factors. The reasons for minor deficits related to ambulation should be researched further while developing strategies for increasing the PA level of subacute stroke patients.Keywords: Stroke, apathy, depression, cognition, physical activity ABSTRACT 155level cannot be explained only by loss of motor function, psychological and cognitive factors have been proposed to analyze (13,14). In light of these findings, we aimed to compare the PA level between ambulatory stroke patients and a population of the same age and to investigate the demographic features and disease-related and neuropsychological factors that could affect the PA level in the same stroke group. We hypothesized that the PA level of ambulatory subacute stroke patients would be less than that of healthy subjects. We further hypothesized that the PA level would be affected by neuropsychological factors in the same population.

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“…10) However, the validity for subjects with walking disabilities remains problematic. 9,11) Although previous studies have reported that the validity of the measured number of steps is influenced by the type of device used, the gait velocity, the cadence, and the position of the device (i.e., on the affected or unaffected side), [12][13][14] a consensus regarding optimal device usage has not been reached.…”

Section: Introductionmentioning

confidence: 92%

“…Previous studies 13,14,18) have reported the accuracy of step-count measurements for healthy people walking on a treadmill with different gait velocities. However, each of these reports set lower limits of gait velocity at approximately 0.90 m/s, and several devices underestimated the number of steps at such a low gait velocity.…”

Section: Discussionmentioning

confidence: 99%

Optimal Conditions for Obtaining Valid Step Count Measurements in Hospitalized Patients with Abnormal Gait

Oba

Iwase

Oshima

et al. 2017

PRM

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Objective: This study investigated the optimum conditions for obtaining valid step-count measurements for patients with abnormal gait. Methods: Subjects comprised 61 hospitalized patients with abnormal gait. Four different devices were tested: Active Style Pro (AS), Walking Style (WS), Lifecorder PLUS, and Steps. The same device type was attached to the waist on both the affected and the unaffected side. Patients then walked 25 m at a comfortable speed. This test was repeated four times, once for each device. The measurement error (ME) and walking parameters (gait velocity, step length, and cadence) were calculated from the test data. ME scores smaller than 3% and 10% were classified as valid: scores above these standards were classified as invalid.Walking parameter values that identified the invalid group with a specificity of 0.95 were set as the cut-off velocity (COV), the cut-off step length (COS), and the cut-off cadence. Sensitivity values >0.40 and positive predictive values >80% were then set as necessary conditions. Results: COV values were 0.90 m/s (AS on the unaffected side at 3% ME and AS on the affected side or the unaffected side at 10% ME), 0.92 m/s (WS on the unaffected side at 10% ME), and 0.98 m/s (WS on the affected side at 3% ME). COS values were 0.50 m (AS on the affected side at 10% ME) and 0.52 m (AS on the unaffected side at 3% ME). Conclusion: The most accurate measurements were obtained using AS attached to the unaffected side with a gait velocity of >0.90 m/s.

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The Use of Pedometers in Stroke Survivors: Are They Feasible and How Well Do They Detect Steps?

Cited by 56 publications

References 17 publications

Guidelines for Adult Stroke Rehabilitation and Recovery

Guidelines for Adult Stroke Rehabilitation and Recovery

Physical Activity Level of Ambulatory Stroke Patients: Is it Related to Neuropsychological Factors?

Optimal Conditions for Obtaining Valid Step Count Measurements in Hospitalized Patients with Abnormal Gait

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