Abstract
Purpose
To determine the association between daily ambulatory activity patterns and exercise performance in patients with intermittent claudication.
Methods
One hundred thirty-three patients limited by intermittent claudication participated in this study. Patients were assessed on their ambulatory activity patterns for one week with a small, lightweight step activity monitor attached to the ankle using elastic velcro straps above the lateral malleolus of the right leg. The step activity monitor recorded the number of strides taken on a minute-to-minute basis, and the time spent ambulating. Patients also were characterized on ankle/brachial index (ABI), ischemic window (IW) after a treadmill test, as well as initial claudication distance (ICD), and absolute claudication distance (ACD) during treadmill exercise.
Results
The patient characteristics (mean ± SD) were as follows: ABI = 0.71 ± 0.23, IW = 0.54 ± 0.72 mmHg.min.meter−1, ICD = 236 ± 198 meters, and ACD = 424 ± 285 meters. The patients took 3366 ± 1694 strides/day, and were active for 272 ± 103 minutes/day. The cadence for the 30 highest, consecutive minutes of each day (15.1 ± 7.2 strides/minute) was correlated with ICD (r = 0.316, p < 0.001) and ACD (r = 0.471, p < 0.001), and the cadence for the 60 highest, consecutive minutes of each day (11.1 ± 5.4 strides/minute) was correlated with ICD (r = 0.290, p < 0.01) and ACD (r = 0.453, p < 0.001). Similarly, the cadences for the highest 1, 5, and 20 consecutive minutes, and the cadence for the 30 highest, non-consecutive minutes all were correlated with ICD and ACD (p < 0.05). None of the ambulatory cadences were correlated with ABI (p > 0.05) or with ischemic window (p > 0.05).
Conclusion
Daily ambulatory cadences are associated with severity of intermittent claudication, as measured by ACD and ICD, but not with peripheral hemodynamic measures.
INTRODUCTION
Peripheral arterial disease (PAD) is prevalent in 16 percent of the US population older than 55 years of age, and the symptom of intermittent claudication is prevalent in 5 percent.1 Intermittent claudication is ischemic muscular leg pain that occurs during ambulation when the peripheral circulation is inadequate to meet the metabolic requirement of the active leg musculature. Consequently, intermittent claudication leads to ambulatory dysfunction,2–5 a decline in daily physical activities,6 and lower health-related quality of life.7 The lifestyle limitations imposed by intermittent claudication further compounds poor long-term survival,8–12 as the mortality risk of sedentary patients with intermittent claudication is higher than their more active counterparts.13
Few studies have objectively quantified physical activity in patients with PAD6,14–16 Daily physical activity is lower in PAD patients than in age-matched controls, and is associated with the absolute claudication distance (ACD) during a standardized treadmill test,15 and with 6-minute walk distance15 in patients limited by intermittent claudication. However, it is not clear whether patients with worse exercise performance have lower daily physical activity because of spending less time in physical activity, because of engaging in less intense physical activity, or a combination of both. Decline in physical activity of moderate and high intensity are particularly noteworthy because this may reflect greater difficulty in performing activities of daily living, and because this increases the risk of mortality in patients with intermittent claudication.13
The purpose of this study was to determine the association between daily ambulatory activity patterns and exercise performance in patients with intermittent claudication.
METHODS
SUBJECTS
Recruitment
Patients between the ages of 50 and 90 years were evaluated in the General Clinical Research Center at the University of Oklahoma Health Sciences Center (HSC). Patients were recruited by referrals from the HSC vascular clinics and laboratories, as well as by newspaper advertisements for a free evaluation to assess peripheral vascular function in those who experience ambulatory leg pain. The procedures used in this study were approved by the Institutional Review Boards at the University of Oklahoma HSC. Written informed consent was obtained from each subject prior to investigation.
Patient Screening
Patients with intermittent claudication secondary to vascular insufficiency were included in this study if they met the following criteria: (a) positive test on the San Diego claudication questionnaire,17 (b) ambulation during a graded treadmill test limited by intermittent claudication,18 and (b) an ABI ≤ 0.90.1 Patients were excluded from this study for the following conditions: (a) absence of PAD (ABI > 0.90), (b) inability to obtain an ABI measure due to non-compressible vessels, (c) asymptomatic PAD, (d) rest pain PAD, (e) use of medications indicated for the treatment of intermittent claudication (cilostazol and pentoxifylline) initiated within three months prior to investigation, (f) exercise tolerance limited by factors other than leg pain (e.g., severe coronary artery disease, dyspnea, poorly controlled blood pressure), and (g) active cancer, renal disease, or liver disease. A total of 133 patients with intermittent claudication were deemed eligible for this investigation, whereas 17 subjects were ineligible.
MEASUREMENTS
Medical History
Demographic information, height, weight, waist and hip circumferences,19 cardiovascular risk factors, co-morbid conditions, claudication history, and a list of current medications were obtained during a medical history and physical examination to begin the evaluation.
Gardner Treadmill Test
Patients performed a progressive, graded treadmill protocol (2 mph, 0% grade with 2% increase every 2 minutes) until maximal claudication pain as previously described.18 The initial claudication distance (ICD), defined as the walking distance at which the patient first experienced pain, and the absolute claudication distance (ACD), defined as the walking distance at which ambulation could not continue due to maximal pain, were both recorded to quantify the severity of claudication. Exercise capacity was measured by oxygen uptake at peak exercise with a Medical Graphics VO2000 metabolic system. Using these procedures, the test-retest intraclass reliability coefficient is R = 0.89 for ICD,18 R = 0.93 for ACD18, and R = 0.88 for peak oxygen uptake.20 Additionally, ABI measures were obtained from the more severely diseased lower extremity before and 1, 3, 5, and 7 minutes after each treadmill test as previously described.18,21 Ankle systolic blood pressure was measured from the posterior tibial and dorsalis pedis arteries in both legs, and the higher of the two arterial pressures from the more severely diseased leg was recorded as the ankle pressure at rest.15,22 Ankle systolic pressure was taken from the same arterial location during measurements following the treadmill test. The reduction in ankle systolic blood pressure from the resting baseline value, and its recovery over time following treadmill exercise was quantified by calculating the area over the curve using the trapezoidal rule, referred to as the ischemic window.23 The ischemic window is a measure of the severity of the ischemic deficit of exercise.23 Because the ischemic deficit is a function of both PAD severity as well as the amount of exercise performed, the ischemic window was divided by ACD to normalize the ischemic window per meter walked.
Ambulatory Activity Monitoring
Daily ambulatory activity was assessed using a small (75 × 50 × 20 mm), lightweight (38 g) step activity monitor (Step Watch 3TM, Cyma Inc., Mountlake Terrace, WA) containing a sensor, electronics, and a battery inside a completely sealed and durable polycarbonate case.16 The monitor is a stride counter that utilizes a microprocessor linked accelerometer with filtering thresholds for cadence and motion parameters.24 The step activity monitor was programmed by placing the unit on a USB docking station connected to a computer with StepWatch3TM Analysis Software. Ambulatory activity was measured during seven consecutive days in which subjects were instructed to wear the monitor during waking hours and to remove it before retiring to bed. The step activity monitor was attached to the right ankle above the lateral malleolus using elastic Velcro straps, and continuously recorded the number of steps taken on a minute-to-minute basis. Subjects returned the monitor at the end of the seven-day period, and the data were downloaded into a subject file stored in the software program. The accuracy of the step activity monitor exceeds 99% ± 1% compared to hand-tallied step counts during a 6-minute walk test performed by a subset of subjects with intermittent claudication (n = 15) and controls (n = 15).16 This accuracy is similar to previous studies which have reported step count accuracies ranging from 96% to 99.9% in various clinical populations.24–28
Variables Obtained from the Step Activity Monitor
The step activity monitor records the number of ambulatory strides taken per minute for each minute throughout a 24-hour period. After data from the step activity monitor is downloaded to a computer, the software program displays the number of strides taken each day and the number of minutes spent ambulating each day. The daily ambulatory strides and time are further analyzed by the software program, and are quantified into the following variables: (a) daily strides taken and time spent ambulating at low cadence (between 1 and 15 strides/min), medium cadence (between 16 and 30 strides/min), and high cadence (more than 30 strides/min), (b) daily sedentary time in which no ambulation occurs (0 strides/min), (c) maximum cadence for 60, 30, 20, and 5 continuous minutes of ambulation each day, (d) maximum cadence for 1 minute of ambulation each day (i.e., the minute having the single highest cadence value each day), and (e) peak activity index obtained by ranking all minutes of the day according to cadence, and then taking the highest 30 values.
These outcome measures are recorded and averaged for each day, and then the daily averages are averaged over the seven-day monitoring period. The maximum 60-minute, maximum 30-minute, and maximum 20-minute cadences calculated from the software program are intended to provide information on whether individuals meet the traditional recommended guidelines to improve cardiopulmonary fitness by exercising between 20 to 60 minutes at moderate-to-high endurance exercise three or more times per week.29 The average cadence obtained for the maximum 60-minute, maximum 30-minute, and maximum 20-minute measures gives an indication of whether individuals ambulate at a sufficient rate over these durations to elicit a potential training stimulus to improve cardiopulmonary fitness. The peak activity index cadence is intended to provide information on whether individuals meet the newer recommended guidelines to attain health benefits by accumulating 30 minutes or more of moderate-intensity physical activity on most, preferably all, days of the week.29 The newer guidelines emphasize that physical activity does not need to be done continuously, but rather can be accumulated throughout the day in an intermittent manner. The average cadence obtained for the peak activity index indicates whether individuals intermittently ambulate at a sufficient rate for 30 minutes during the day to elicit potential health benefits. In contrast to these endurance-related measures, the maximum 5-minute and maximum 1-minute cadences calculated from the software program are more characteristic of short-duration activity, and may reflect the ability of individuals to ambulate quickly. The cadences attained during these short ambulatory durations are not a reflection of cardiopulmonary function, but rather they may be indicators of functioning of the lower extremities. In subjects with intermittent claudication, the test-retest intraclass reliability coefficient for the measurement of total daily strides and total daily minutes of activity over the 7-day period are R = 0.87 and R = 0.85, respectively.16 The intraclass reliability coefficients for the remaining variables pertaining to daily ambulatory strides, daily ambulatory durations, and daily ambulatory cadences range from R = 0.83 to R = 0.94.
STATISTICAL ANALYSES
Partial correlation coefficients were calculated to determine the association between daily ambulatory activity patterns and exercise performance in patients with intermittent claudication, adjusting for age, weight, BMI, sex, race, current smoking, diabetes, hypertension, dyslipidemia, abdominal obesity, obesity, coronary artery disease, chronic obstructive pulmonary disease, and congestive heart failure. It was noted that the distributions of some variables were asymmetric. To minimize the possible distorting effect of extreme values, both Pearson and Spearman partial correlation coefficients were computed for each pair of variables of interest, with Spearman used only if the two estimates differed by more than 0.1. Reported p values are for individual tests. All analyses were performed using the SPSS-PC statistical package. Statistical significance was set at p < 0.05. Measurements are presented as means ± standard deviations.
RESULTS
The clinical characteristics of the patients with intermittent claudication are shown in Table 1. The group consisted of a similar proportion of men and women, as well as Caucasians and African-Americans. The ABI, ICD, ACD, and cardiovascular risk factors are typical for those with intermittent claudication.
Table I.
Variables | Values |
---|---|
Age (years) | 67 (10) |
Weight (kg) | 82.5 (18.9) |
Body Mass Index | 29.2 (6.6) |
Ankle/Brachial Index | 0.71 (0.23) |
Ischemic Window (mmHg.min.meter−1) | 0.54 (0.72) |
ICD (meters) | 236 (198) |
ACD (meters) | 424 (285) |
Peak Oxygen Uptake (ml.kg−1.min−1) | 12.6 (4.0) |
Sex (% Men) | 50 |
Race (% Caucasian) | 49 |
Coronary Artery Disease (% yes) | 42 |
Chronic Obstructive Pulmonary Disease (% yes) | 26 |
Congestive Heart Failure (% yes) | 11 |
Current Smoking (% yes) | 32 |
Diabetes (% yes) | 29 |
Hypertension (% yes) | 79 |
Dyslipidemia (% yes) | 79 |
Abdominal Obesity (% yes) | 65 |
Obesity (% yes) | 39 |
ACD = absolute claudication distance, ICD = initial claudication distance,. Obesity was defined as having a body mass index ≥ 30 kg / m2. Abdominal obesity was defined as having a waist circumference > 102 cm for men and > 88 cm for women.
The ambulatory strides recorded during the one-week monitoring period, and their association with exercise performance in patients with intermittent claudication is shown in Table II. On average, the patients took 3366 daily strides in which 35% were at low cadence, 44% were at medium cadence, and 21% were at high cadence. The total daily strides were positively correlated with ACD (p < 0.001) and negatively correlated with ischemic window (p < 0.05). The daily strides at low cadence were negatively correlated with ischemic window (p < 0.05), and the percentage of strides at low cadence was negatively associated with ICD (p < 0.05) and ACD (p < 0.001). The daily strides at medium cadence, high cadence, and the percentage of strides at high cadence were all positively associated with ACD (p < 0.001). None of the stride variables were correlated with ABI (p > 0.05).
Table II.
Variables | Mean (SD) | ABI (r) |
IW (r) |
ICD (r) |
ACD (r) |
---|---|---|---|---|---|
Strides at Low Cadence (strides/day) | 1177 (461) | .172 | −.218* | −.067 | .071 |
Strides at Medium Cadence (strides/day) | 1477 (940) | .112 | −.169 | .135 | .255** |
Strides at High Cadence (strides/day) | 712 (779) | −.049 | −.076 | .143 | .336*** |
Total Strides (strides/day) | 3366 (1694) | .089 | −.213* | .121 | .314*** |
Percentage of Strides at Low Cadence (%) | 35 (11) | .062 | .049 | −.242* | −.345*** |
Percentage of Strides at Medium Cadence (%) | 44 (10) | .063 | −.134 | .111 | .077 |
Percentage of Strides at High Cadence (%) | 21 (13) | −.105 | .061 | .130 | .248** |
r = Pearson partial correlation coefficients or Spearman partial correlation coefficients (indicated in italicized print), adjusting for age, weight, BMI, sex, race, current smoking, diabetes, hypertension, dyslipidemia, abdominal obesity, obesity, coronary artery disease, chronic obstructive pulmonary disease, and congestive heart failure.
p < 0.05,
p < 0.01,
p < 0.001.
The ambulatory durations and their associations with exercise performance in patients with intermittent claudication are shown in Table III. On average, the patients were active for 272 minutes each day, in which 69% of the time was spent at low cadence, 25% was at medium cadence, and 6% was at high cadence. Total activity time was positively correlated with ACD (p < 0.05) and negatively correlated with ischemic window (p < 0.05). The percentage of activity time at low cadence was negatively correlated with ICD (p < 0.05) and ACD (p < 0.001). The activity time at medium cadence was positively correlated with ischemic window (p < 0.05) and ACD (p < 0.01), and the percentage of activity time at medium cadence was positively correlated with ICD (p < 0.05) and ACD (p < 0.01). The activity time at high cadence and the percentage of activity at high cadence were positively associated with ACD (p < 0.001). None of the activity durations were correlated with ABI (p > 0.05).
Table III.
Variables | Mean (SD) | ABI (r) |
IW (r) |
ICD (r) |
ACD (r) |
---|---|---|---|---|---|
Time at Low Cadence (min/day) | 188 (73) | .152 | −.149 | −.076 | .029 |
Time at Medium Cadence (min/day) | 67 (38) | .109 | −.222* | .128 | .277** |
Time at High Cadence (min/day) | 17 (18) | −.0173 | −.069 | .108 | .310*** |
Total Activity Time (min/day) | 272 (103) | .139 | −.202* | .011 | .211* |
Percentage of Activity Time at Low Cadence (%) | 69 (10) | −.066 | .096 | −.227* | −.345*** |
Percentage of Activity Time at Medium Cadence (%) | 25 (8) | −.002 | −.136 | .211* | .268** |
Percentage of Activity Time at High Cadence (%) | 6 (6) | −.122 | .013 | .125 | .268** |
r = Pearson partial correlation coefficients or Spearman partial correlation coefficients (indicated in italicized print), adjusting for age, weight, BMI, sex, race, current smoking, diabetes, hypertension, dyslipidemia, abdominal obesity, obesity, coronary artery disease, chronic obstructive pulmonary disease, and congestive heart failure.
p < 0.05,
p < 0.01,
p < 0.001.
The ambulatory cadences and their associations with exercise performance in patients with intermittent claudication are shown in Table IV. The average daily cadence was 12.2 strides per minute, ranging between 11.1 strides per minute for the most active 60 consecutive minutes of each day to 46.1 strides per minute for the most active single minute of each day. The cadence for the 30 highest, non-consecutive minutes of each day (peak activity index) was 28.3 strides per minute. All of the cadence variables were positively associated with ICD (p < 0.05) and ACD (p < 0.001). None of the ambulatory cadences were correlated with ABI (p > 0.05) or with ischemic window (p > 0.05).
Table IV.
Variables | Mean (SD) | ABI | IW | ICD | ACD |
---|---|---|---|---|---|
Maximum 1-minute cadence (strides/min) | 46.1 (5.4) | .064 | −.046 | .194* | .338*** |
Maximum 5-minute cadence (strides/min) | 29.5 (8.1) | .053 | −.050 | .351*** | .456*** |
Maximum 20-minute cadence (strides/min) | 18.6 (10.9) | −.034 | −.115 | .233* | .324*** |
Maximum 30-minute cadence (strides/min) | 15.1 (7.2) | .069 | −.158 | .316*** | .471*** |
Maximum 60-minute cadence (strides/min) | 11.1 (5.4) | .058 | −.174 | .290** | .453*** |
Peak Activity Index (strides/min) | 28.3 (7.3) | .027 | −.191 | .310*** | .473*** |
Average Cadence (strides/min) | 12.2 (3.2) | −.027 | −.089 | .194* | .311*** |
r = Pearson partial correlation coefficients or Spearman partial correlation coefficients (indicated in italicized print), adjusting for age, weight, BMI, sex, race, current smoking, diabetes, hypertension, dyslipidemia, abdominal obesity, obesity, coronary artery disease, chronic obstructive pulmonary disease, and congestive heart failure.
p < 0.05,
p < 0.01,
p < 0.001.
DISCUSSION
The major findings of this investigation are that (1) daily ambulatory strides, durations, and cadences are associated with ACD, (2) ambulatory cadences are more closely correlated with ACD and ICD than are ambulatory strides or ambulatory duration, and (3) daily ambulatory strides, durations, and cadences are not associated with ABI or with ischemic window.
The patients in this investigation ambulated for an average of 272 minutes each day and took an average of 3,366 strides, which are 13% and 20% lower than in controls of similar age.16 Both the total time and total strides during ambulation were positively associated with ACD, indicating that patients with milder intermittent claudication ambulate more in a community-based setting than patients with more severe symptoms. This observation is supported by previous investigations in our laboratory which found that ACD was correlated with the daily number of steps objectively recorded by a pedometer,6 and with total leisure-time physical activity subjectively measured with a questionnaire.6,30 Collectively, these results indicate that the total daily physical activity is associated with ACD in patients with intermittent claudication.
A novel finding in the present investigation is that the cadence of ambulation is a stronger correlate of ICD and ACD than are measures of total physical activity (e.g., total daily strides and total daily activity time). This suggests that ambulatory cadence in a community-based setting is the aspect of ambulation that is most associated with the severity of intermittent claudication. In particular, ambulatory cadence was more closely related to ACD than to ICD, suggesting that the ability or willingness to walk to maximal claudication pain (i.e., ACD) is partially explained by activity level as well as by the severity of vascular insufficiency, whereas ICD may be more related to the latter. On closer examination of the cadence data, the maximum cadence for 30-minute and 60-minute durations throughout the day were the highest correlates of ACD. Continuous ambulation for 30 minutes to one hour reflects endurance-related activities, and suggests that patients with lower ACD values must slow their cadence to complete ambulatory activities of prolonged durations compared to patients with higher ACD values.
The slower rate of continuous ambulation in patients with lower ACD compared to those with higher ACD may be an adopted strategy to delay the onset and development of intermittent claudication during prolonged, continuous ambulation. For example, patients with severe intermittent claudication may select a slow ambulatory pace while walking in the community setting as a strategy to avoid experiencing the onset of claudication. This is also evident for discontinuous ambulation, as peak activity index was directly correlated with ACD. Peak activity index represents the average stride rate for the highest 30 minutes of each day, regardless of whether they occurred continuously or discontinuously. Thus, patients with severe intermittent claudication may try to avoid experiencing claudication by ambulating slowly even during prolonged, intermittent ambulation.
Patients with shorter ACD also had patterns of slower ambulation for relatively short durations, as the maximum cadence attained for one-minute and five-minute durations throughout the day were associated with ACD. These slower ambulatory cadences, especially for the maximum one-minute duration, suggests that ambulatory pattern is altered even at the initiation of ambulation in those with shorter ACD. This agrees with our previous report that gait is altered in patients with intermittent claudication that favors stability over speed of ambulation even during pain-free ambulation.31 Another plausible explanation for the association between ACD and ambulatory cadence of short duration is that greater muscle weakness is associated with a progression of intermittent claudication. Isokinetic and isometric strength of the gastrocnemius, tibialis anterior, and dorsiflexor muscle groups are lower in patients with intermittent claudication than in controls, and are lower in the more symptomatic leg.32–34 Thus, impaired strength of the lower extremities as well as altered gait may account for the decline in community-based, short-duration ambulation in patients with severe intermittent claudication.
Although ambulatory cadences are associated with ACD, they are not associated with either ABI or ischemic window. These results suggest that community-based ambulatory cadences are primarily a function of the severity of intermittent claudication. Although poor ABI and ischemic window values are characteristic of patients with PAD and intermittent claudication, the lack of association between vascular measures and ambulatory cadences indicates that the severity of intermittent claudication is a better correlate of the paces performed during daily ambulation. ABI is not a strong predictor of ICD and ACD,4 suggesting that factors other than vascular insufficiency also are related to claudication distance and ambulation. These factors may include cardiopulmonary function,35 walking economy,36 muscle mass,37 muscle strength,32 ability of muscle to extract oxygen,38 obesity,4 and metabolic syndrome.39
The lack of association between ABI and ambulatory cadence is in disagreement with previous reports showing that ABI is related to self-reported leisure-time physical activity,30 monitored physical activity using an accelerometer,6,14,40 and energy expenditure of physical activity with the doubly-labeled water technique.15 The physical activity measures obtained with the accelerometer and with the doubly-labeled water technique are characteristic of the total amount of physical activity performed (i.e., ambulatory and non-ambulatory), which is distinct from the cadence (i.e., intensity) at which ambulation is performed. One of the advantages of the step activity monitor is that is can distinguish between the two, and the results from this trial suggest that ambulatory cadence throughout daily activities is more associated with symptoms than with ABI.
There are several limitations to this study. The correlations calculated from this cross-sectional design does not allow causality be established, as it is possible that daily ambulation influences ACD or vice versa. A longitudinal follow-up study is necessary to better understand the causality of this relationship in patients with intermittent claudication. A second limitation is that it is possible patients did not wear the step activity monitor during portions of their waking hours, thereby resulting in an underestimate of daily ambulation. We believe that this possibility is unlikely because long durations in which no active minutes were recorded during daytime hours were rarely evident from the software graphs depicting the number of strides taken on a minute-to-minute basis. Even during several hours of being sedentary, a few minutes in which some strides occurred were typically evident, indicating that the step activity monitor had not been removed. Another limitation is that the type of sedentary activity which took place during non-active minutes cannot be determined by the step activity monitor. Consequently, it is not possible to quantify the time spent in various sedentary activities such as watching television, taking naps, and sitting while eating. Furthermore, the step activity monitor does not quantify non-ambulatory physical activity, and therefore it underestimates the total amount of daily physical activity accomplished to some extent. The present findings are also limited to PAD patients with intermittent claudication, and may not be generalized to patients with less severe and more severe symptoms. However, subjects with intermittent claudication had a good proportion of women and African-Americans, and they had typical risk factors for PAD, including smoking, diabetes, hypertension, dyslipidemia, and obesity. Thus, the findings of the present study are generalizable to the majority of subjects with intermittent claudication who typically have numerous co-morbid conditions.
We conclude that daily ambulatory cadences are associated with the severity of intermittent claudication, as measured by ACD and ICD, but not with peripheral hemodynamic measures. Future trials should examine whether daily ambulatory cadences of patients with intermittent claudication change during long-term follow-up, and in response to interventions designed to improve symptoms.
Acknowledgments
This research was supported by grants from the National Institute on Aging (NIA) (R01-AG-16685, and R01-AG-24296; AWG), by a Oklahoma Center for the Advancement of Science and Technology grant (HR04-113S; AWG), and by the University of Oklahoma Health Sciences Center General Clinical Research Center grant (M01-RR-14467), sponsored by the National Center for Research Resources from the National Institutes of Health. The final peer-reviewed version of this manuscript is subject to the NIH Public Access Policy
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
REFERENCES
- 1.Weitz JI, Byrne J, Clagett GP, et al. Diagnosis and treatment of chronic arterial insufficiency of the lower extremities: a critical review. Circulation. 1996;94:3026–3049. doi: 10.1161/01.cir.94.11.3026. [DOI] [PubMed] [Google Scholar]
- 2.Bonde-Petersen F. Physical performance capacity in patients with dysbasia arteriosclerotica. II. Bicycle ergometry, walking tolerance and arteriographic diagnosis. Scand J Rehabil Med. 1974;6:26–30. [PubMed] [Google Scholar]
- 3.Gardner AW. Claudication pain and hemodynamic responses to exercise in younger and older peripheral arterial disease patients. J Gerontol. 1993;48:M231–M236. doi: 10.1093/geronj/48.5.m231. [DOI] [PubMed] [Google Scholar]
- 4.Gardner AW, Ricci MA, Case TD, Pilcher DB. Practical equations to predict claudication pain distances from a graded treadmill test. Vasc Med. 1996;1:91–96. doi: 10.1177/1358863X9600100201. [DOI] [PubMed] [Google Scholar]
- 5.Hiatt WR, Nawaz D, Regensteiner JG, Hossack KF. The evaluation of exercise performance in patients with peripheral vascular disease. J Cardiopulmonary Rehabil. 1988;12:525–532. [Google Scholar]
- 6.Sieminski DJ, Gardner AW. The relationship between free-living daily physical activity and the severity of peripheral arterial occlusive disease. Vasc Med. 1997;2:286–291. doi: 10.1177/1358863X9700200402. [DOI] [PubMed] [Google Scholar]
- 7.Feinglass J, McCarthy WJ, Slavensky R, Manheim LM, Martin GJ. Effect of lower extremity blood pressure on physical functioning in patients who have intermittent claudication. The Chicago Claudication Outcomes Research Group. J Vasc Surg. 1996;24:503–511. doi: 10.1016/s0741-5214(96)70066-6. [DOI] [PubMed] [Google Scholar]
- 8.Criqui MH, Langer RD, Fronek A, et al. Mortality over a period of 10 years in patients with peripheral arterial disease. N Engl J Med. 1992;326:381–386. doi: 10.1056/NEJM199202063260605. [DOI] [PubMed] [Google Scholar]
- 9.Feringa HH, Bax JJ, van WV, et al. The long-term prognostic value of the resting and postexercise ankle-brachial index. Arch Intern Med. 2006;166:529–535. doi: 10.1001/archinte.166.5.529. [DOI] [PubMed] [Google Scholar]
- 10.Howell MA, Colgan MP, Seeger RW, Ramsey DE, Sumner DS. Relationship of severity of lower limb peripheral vascular disease to mortality and morbidity: a six-year follow-up study. J Vasc Surg. 1989;9:691–696. doi: 10.1067/mva.1989.vs0090691. [DOI] [PubMed] [Google Scholar]
- 11.McDermott MM, Feinglass J, Slavensky R, Pearce WH. The ankle-brachial index as a predictor of survival in patients with peripheral vascular disease. J Gen Intern Med. 1994;9:445–449. doi: 10.1007/BF02599061. [DOI] [PubMed] [Google Scholar]
- 12.Garg PK, Tian L, Criqui MH, et al. Physical activity during daily life and mortality in patients with peripheral arterial disease. Circulation. 2006;114:242–248. doi: 10.1161/CIRCULATIONAHA.105.605246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Gardner AW, Montgomery PS, Parker DE. Physical activity is a predictor of all-cause mortality in patients with intermittent claudication. J Vasc Surg. 2008;47:117–122. doi: 10.1016/j.jvs.2007.09.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.McDermott MM, Liu K, O'Brien E, et al. Measuring physical activity in peripheral arterial disease: a comparison of two physical activity questionnaires with an accelerometer. Angiology. 2000;51:91–100. doi: 10.1177/000331970005100201. [DOI] [PubMed] [Google Scholar]
- 15.Gardner AW, Killewich LA, Katzel LI, et al. Relationship between free-living daily physical activity and peripheral circulation in patients with intermittent claudication. Angiology. 1999;50:289–297. doi: 10.1177/000331979905000404. [DOI] [PubMed] [Google Scholar]
- 16.Gardner AW, Montgomery PS, Scott KJ, Afaq A, Blevins SM. Patterns of ambulatory activity in subjects with and without intermittent claudication. J Vasc Surg. 2007;46:1208–1214. doi: 10.1016/j.jvs.2007.07.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Criqui MH, Denenberg JO, Bird CE, Fronek A, Klauber MR, Langer RD. The correlation between symptoms and non-invasive test results in patients referred for peripheral arterial disease testing. Vasc Med. 1996;1:65–71. doi: 10.1177/1358863X9600100112. [DOI] [PubMed] [Google Scholar]
- 18.Gardner AW, Skinner JS, Cantwell BW, Smith LK. Progressive vs single-stage treadmill tests for evaluation of claudication. Med Sci Sports Exerc. 1991;23:402–408. [PubMed] [Google Scholar]
- 19.Lohman TCRAMR. Anthropometric standardization reference manual. Human Kinetics Books. 1988:39–70. [Google Scholar]
- 20.Gardner AW. Reliability of transcutaneous oximeter electrode heating power during exercise in patients with intermittent claudication. Angiology. 1997;48:229–235. doi: 10.1177/000331979704800305. [DOI] [PubMed] [Google Scholar]
- 21.Gardner AW, Skinner JS, Smith LK. Effects of handrail support on claudication and hemodynamic responses to single-stage and progressive treadmill protocols in peripheral vascular occlusive disease. Am J Cardiol. 1991;68:99–105. doi: 10.1016/0002-9149(91)90719-2. [DOI] [PubMed] [Google Scholar]
- 22.Hiatt WR. Medical treatment of peripheral arterial disease and claudication. N Engl J Med. 2001;344:1608–1621. doi: 10.1056/NEJM200105243442108. [DOI] [PubMed] [Google Scholar]
- 23.Feinberg RL, Gregory RT, Wheeler JR, et al. The ischemic window: a method for the objective quantitation of the training effect in exercise therapy for intermittent claudication. J Vasc Surg. 1992;16:244–250. doi: 10.1067/mva.1992.36947. [DOI] [PubMed] [Google Scholar]
- 24.Macko RF, Haeuber E, Shaughnessy M, et al. Microprocessor-based ambulatory activity monitoring in stroke patients. Med Sci Sports Exerc. 2002;34:394–399. doi: 10.1097/00005768-200203000-00002. [DOI] [PubMed] [Google Scholar]
- 25.Foster RC, Lanningham-Foster LM, Manohar C, et al. Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. Prev Med. 2005;41:778–783. doi: 10.1016/j.ypmed.2005.07.006. [DOI] [PubMed] [Google Scholar]
- 26.Haeuber E, Shaughnessy M, Forrester LW, Coleman KL, Macko RF. Accelerometer monitoring of home- and community-based ambulatory activity after stroke. Arch Phys Med Rehabil. 2004;85:1997–2001. doi: 10.1016/j.apmr.2003.11.035. [DOI] [PubMed] [Google Scholar]
- 27.Resnick B, Nahm ES, Orwig D, Zimmerman SS, Magaziner J. Measurement of activity in older adults: reliability and validity of the Step Activity Monitor. J Nurs Meas. 2001;9:275–290. [PubMed] [Google Scholar]
- 28.Shepherd EF, Toloza E, McClung CD, Schmalzried TP. Step activity monitor: increased accuracy in quantifying ambulatory activity. J Orthop Res. 1999;17:703–708. doi: 10.1002/jor.1100170512. [DOI] [PubMed] [Google Scholar]
- 29.Pate RR, Pratt M, Blair SN, et al. Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA. 1995;273:402–407. doi: 10.1001/jama.273.5.402. [DOI] [PubMed] [Google Scholar]
- 30.Gardner AW, Clancy RJ. The relationship between ankle-brachial index and leisure-time physical activity in patients with intermittent claudication. Angiology. 2006;57:539–545. doi: 10.1177/0003319706293114. [DOI] [PubMed] [Google Scholar]
- 31.Gardner AW, Forrester L, Smith GV. Altered gait profile in subjects with peripheral arterial disease. Vasc Med. 2001;6:31–34. [PubMed] [Google Scholar]
- 32.Scott-Okafor HR, Silver KK, Parker J, my-Albert T, Gardner AW. Lower extremity strength deficits in peripheral arterial occlusive disease patients with intermittent claudication. Angiology. 2001;52:7–14. doi: 10.1177/000331970105200102. [DOI] [PubMed] [Google Scholar]
- 33.England JD, Ferguson MA, Hiatt WR, Regensteiner JG. Progression of neuropathy in peripheral arterial disease. Muscle Nerve. 1995;18:380–387. doi: 10.1002/mus.880180403. [DOI] [PubMed] [Google Scholar]
- 34.Hiatt WR, Wolfel EE, Meier RH, Regensteiner JG. Superiority of treadmill walking exercise versus strength training for patients with peripheral arterial disease. Implications for the mechanism of the training response. Circulation. 1994;90:1866–1874. doi: 10.1161/01.cir.90.4.1866. [DOI] [PubMed] [Google Scholar]
- 35.Womack CJ, Hyman BA, Gardner AW. Prediction of peak oxygen consumption in patients with intermittent claudication. Angiology. 1998;49:591–598. doi: 10.1177/000331979804900801. [DOI] [PubMed] [Google Scholar]
- 36.Womack CJ, Sieminski DJ, Katzel LI, Yataco A, Gardner AW. Oxygen uptake during constant-intensity exercise in patients with peripheral arterial occlusive disease. Vasc Med. 1997;2:174–178. doi: 10.1177/1358863X9700200303. [DOI] [PubMed] [Google Scholar]
- 37.Ryan AS, Katzel LI, Gardner AW. Determinants of peak V(O2) in peripheral arterial occlusive disease patients. J Gerontol A Biol Sci Med Sci. 2000;55:B302–B306. doi: 10.1093/gerona/55.6.b302. [DOI] [PubMed] [Google Scholar]
- 38.Bauer TA, Brass EP, Hiatt WR. Impaired muscle oxygen use at onset of exercise in peripheral arterial disease. J Vasc Surg. 2004;40:488–493. doi: 10.1016/j.jvs.2004.06.025. [DOI] [PubMed] [Google Scholar]
- 39.Gardner AW, Montgomery PS, Parker DE. Metabolic syndrome impairs physical function, health-related quality of life, and peripheral circulation in patients with intermittent claudication. J Vasc Surg. 2006;43:1191–1196. doi: 10.1016/j.jvs.2006.02.042. [DOI] [PubMed] [Google Scholar]
- 40.McDermott MM, Greenland P, Liu K, et al. The ankle brachial index is associated with leg function and physical activity: the Walking and Leg Circulation Study. Ann Intern Med. 2002;136:873–883. doi: 10.7326/0003-4819-136-12-200206180-00008. [DOI] [PubMed] [Google Scholar]