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  • Open Access
  • Open Peer Review

A moderate 500-m treadmill walk for estimating peak oxygen uptake in men with NYHA class I-II heart failure and reduced left ventricular ejection fraction

BMC Cardiovascular DisordersBMC series – open, inclusive and trusted201818:67

https://doi.org/10.1186/s12872-018-0801-9

  • Received: 14 October 2017
  • Accepted: 4 April 2018
  • Published:
Open Peer Review reports

Abstract

Background

Maximal cardiopulmonary exercise testing (CPX) is the gold-standard for cardiorespiratory fitness assessment in chronic heart failure (CHF) patients. However, high costs, required medical supervision, and safety concerns make maximal exercise testing impractical for evaluating mobility-impaired adults. Thus, several submaximal walking protocols have been developed and currently used to estimate peak oxygen consumption (VO2peak) in CHF patients. However, these tests have to be performed at close to maximum exercise intensity. The aim of this study was to examine the validity of a 500-m treadmill-walking test carried out at moderate intensity for estimating VO2peak in community-dwelling adult and elderly patients with CHF and reduced left ventricular ejection fraction (HFrEF).

Methods

Forty-three clinically stable men with HFrEF (age 67.7 ± 9.2 years, and left ventricular ejection fraction, LVEF 38% ± 6%) underwent exercise testing during an outpatient cardiac rehabilitation/secondary prevention program. Each patients completed a CPX, and a moderate and self-paced (11–13/20 on the Borg scale) 500-m treadmill-walking test. Age, weight, height, walk time, and heart rate during the 500-m test were entered into prediction equations previously validated for VO2peak estimation from a 1000-m walking test in patients with cardiovascular disease and preserved LVEF.

Results

Directly measured and estimated VO2peak values were not different (21.6 ± 4.9 vs 21.7 ± 4.6 mL/kg/min). The comparison between measured and estimated VO2peak values yielded a correlation of R = 0.97 (SEE = 0.7 mL/kg/min, P < 0.0001). The slope and the intercept coincided with the line of identity (Passing and Bablock analysis, P = 0.50). Residuals were normally distributed, and the examination of the Bland-Altman analysis do not show systematic or proportional error.

Conclusions

A moderate and self-regulated 500-m treadmill-walking test is a valid tool for VO2peak estimation in patients with HFrEF. These findings may have practical implications in the context of transitioning from clinically based programs to fitness facilities or self-guided exercise programs in adults and elderly men with HFrEF.

Keywords

  • Heart failure
  • Left ventricular dysfunction
  • Cardiorespiratory fitness
  • Walking test

Background

Chronic heart failure (CHF) is an increasingly important health problem because of the aging population, improved survival rate after acute cardiovascular events, and the escalating costs attributable to symptoms and associated repeated hospitalizations, despite optimal medical therapy [1]. Cardiorespiratory fitness (CRF), usually best reflected by peak exercise oxygen consumption (VO2peak), has been shown to be a powerful and independent prognostic marker in patients with CHF [2, 3], and is strongly related to walking speed [4, 5].

Walking tests of varying distance and times are commonly used to assess exercise tolerance in various clinical conditions (including CHF). These tests have to be performed at an intensity close to maximum. In fact, the participants are instructed to “cover as much ground as you possibly can” during a certain time [6] or “to walk as fast as possible” for a certain distance [7, 8].

However, daily activities rarely require maximal effort, and thus the ability to perform sustained submaximal exercise is an important component of health-related fitness assessment. In this respect, examination of submaximal exercise capacity can be useful not only to functionally evaluate patients but also for developing appropriate exercise prescriptions, adjusting the medical regimen, and identifying the need for further diagnostic interventions [9].

Submaximal walking tests for CRF assessment may be useful for measuring improvements not captured by VO2peak such as the capacity to perform activities of daily living, particularly for populations whose health limits their ability to exercise at maximal effort [10]. Slow walking in older adults reflects disease severity and underlying frailty, and has significant consequences for the individual, and the public health system [11]. In addition, the need of using simple exercise tests to improve the admission on cardiac rehabilitation/secondary prevention programs has been recently emphasized, particularly for low-resource settings [12].

The moderate speed maintained during a 1-km treadmill walk (1 k-TWT) has been demonstrated to be a valid and simple tool for CRF estimation [13, 14], and is inversely related to survival [15, 16], and hospitalization [17] in outpatients with cardiovascular disease (CVD) and preserved left ventricular ejection fraction (LVEF). However, the 1 k-TWT can be time-consuming, particularly when performed by functionally limited patients. A shorter test providing similar functional information while limiting physical demands of patients and taking less time could be valuable. Thus, the aim of this study was to examine the validity of a 500-m treadmill-walking test carried out at moderate intensity for estimating peak oxygen consumption (VO2peak) in community-dwelling adult and elderly patients with CHF and reduced left ventricular ejection fraction (HFrEF).

Methods

Participants

43 consecutive medically stable male outpatients with HFrEF (LVEF ≤45%), aged 35 to 83 yrs. (67% over 65 yrs), classified as NYHA class I-II are included in the study. Each subject completed a clinical evaluation including personal and family history and a medical examination. Left ventricular ejection fraction was derived from recent echocardiographic evaluation. Standard blood chemistry analyses previously performed were recorded. Weight and height were measured and used to calculate body mass index (BMI). Blood pressure (BP) was measured, and hypertension was defined as systolic BP ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or use of antihypertensive agents. All patients performed a maximal cardiopulmonary exercise test (CPX) for direct VO2peak determination, and a 500-m moderate treadmill-walking test for VO2peak estimation. Patients were instructed not to change dietary habits, not to consume any food or beverages except water for ≥2 h before testing, and not to engage in any type of physical activity for two days before testing. All were evaluated while receiving their usual medications and were on a stable medical regimen for at least three months before testing. 37 (86%) subjects were receiving β-blockers as follows: bisoprolol (n = 19, 6 ± 3 mg/d), carvedilol (n = 11, 31 ± 19 mg/d), and metoprolol (n = 7, 135 ± 42 mg/d).

Exercise testing procedures

Cardiopulmonary exercise testing

VO2peak was determined using a treadmill ramp protocol beginning at speed of 1.5 mph (2.4 km/h) and 1.5% grade with subsequent increments of 0.1 mph and 0.5% grade every thirty seconds [18]. Patients performed the maximal test until subjective exhaustion, exertional chest pain or other untoward findings that would necessitate termination. Exercise was considered adequate if it was limited by dyspnea or muscle fatigue (Rate of perceived exertion, RPE ≥ 18/20), and by the attainment of at least two of the three following criteria: heart rate value ≥85% of the age-predicted maximum, VO2 plateau approaching maximal exertion, and a respiratory exchange ratio ≥ 1.05 [19, 20]. Tight gripping of the handrails was not permitted; finger or palm placement on the handrails was allowed for balance only when necessary. Standard 12-lead electrocardiograms were continuously monitored and recorded during the test (Quark T12x, Cosmed, Rome, Italy). Gas-exchange measurements were performed using a metabolic cart (Omnia 1.5, Cosmed, Rome, Italy). Calibration of the system was performed before each test using a three-liter syringe to calibrate the flowmeter and by using gases with known oxygen, carbon dioxide and nitrogen concentrations to calibrate the gas analyzers. VO2 and carbon dioxide output were acquired breath-by-breath and averaged over 15 s intervals. VO2peak was defined as the highest level of VO2 achieved during the test.

500-m treadmill-walking test

Within one week from the CPX, each patient performed a 500-m treadmill-walking test. Each patients were informed to adopt a comfortable walking pace sustainable for 10 to 20 min. Participants were educated to maintain a moderate perceived exercise intensity using the Borg 6–20 scale. The test was performed on the level, and began with a preliminary phase at 2.0 km/h, with subsequent increases of 0.3 km/h every 30 s up to a walking speed corresponding to a perceived exertion of 11–13 on the Borg scale. The 500-m walk was then started and the rate of perceived exertion acquired every 2 min. Walking speed was adjusted by the operator following the patient’s perceived intensity. In this way, the exercise intensity was individualized and maintained at moderate perceived exertion.

Heart rate was monitored continuously during the test using a Polar RS100 heart rate monitor (Polar Electro, Kempele, Finland). Blood pressure was monitored before and immediately after the test. Heart rate was averaged every five seconds and mean and maximal values during the test were determined. Age, height, weight, time to walk 500-m multiplied by two, and heart rate were entered into the equations developed to estimate VO2peak by the 1 k-TWT [13]. The two equations were determined using a multivariate forward stepwise regression procedure [13]. A coefficient of determination was calculated for each variable for the VO2peak estimation. After removal of variables that were not significant, the model included age, BMI, walking speed and heart rate. The model was set as follows:

$$ \mathrm{Y}={\upbeta}_0\hbox{--} {\upbeta}_1{\mathrm{X}}_1\hbox{--} {\upbeta}_2{\mathrm{X}}_2\hbox{--} {\upbeta}_3{\mathrm{X}}_3\hbox{--} {\upbeta}_4{\mathrm{X}}_4 $$
where Y = directly measured VO2peak; β = regression coefficient for each of the independent variables; X1 = mean walking speed in km/h; X2 = BMI in weight/height2; X3 = age in years; and X4 = higher heart rate in beats per minute (bpm). The resulting predictive equations were:
$$ \left[33.42+2.79\ \left(\mathrm{walking}\ \mathrm{speed}\right)\hbox{--} 0.49\ \left(\mathrm{BMI}\right)\hbox{--} 0.14\ \left(\mathrm{age}\right)\right] $$
and
$$ \left[46.11+4.41\ \left(\mathrm{walking}\ \mathrm{speed}\right)\hbox{--} 0.40\ \left(\mathrm{BMI}\right)\hbox{--} 0.30\ \left(\mathrm{age}\right)\hbox{--} 0.11\ \left(\mathrm{heart}\ \mathrm{rate}\right)\right] $$
for patients taking and not taking β-blockers, respectively.

Data analysis

Normal distribution of collected data has been verified by using D’Agostino Pearson test. Therefore, the predicting equations previously developed and validated [13] were applied using Pearson product moment correlations, SEE and paired t-test for comparison of measured and predicted VO2peak. Passing and Bablok regression analysis was used to determine the relationship between measured and predicted values. Agreement between methods has been assessed calculating the Concordance Correlation Coefficient. Appropriateness of the model was assessed using Bland-Altman analysis and normal probability plots of the residuals. The level of statistical significance was set at P < 0.05. Statistical analyses were performed using the package Medcalc 16.2 software (Ostende, Belgium).

Results

Both the CPX and the 500-m treadmill-walking tests were completed by all subjects without complications. Three subjects did not satisfy the criteria for adequate effort. One patient interrupted the test prematurely because of mask intolerance (i.e. claustrophobic). The analysis thus included the results of 39 subjects. Descriptive characteristics of the study population are presented in Table 1. CPX test results are presented in Additional file 1: Table S1.
Table 1

Descriptive characteristics of the participants

n

39

Age (y)

67.7 (9.2)

Body mass index (kg/m2)

28.8 (3.8)

Left ventricular ejection fraction (%)

38 (6)

Ischemic etiology (%)

72

NYHA functional class I/II (%)

62/38

Serum sodium (mEq/L)

140 (2)

Cardiovascular risk factors

 Family history of CVD (%)

66

 Hypertension (%)

72

 Fasting glucose (mg/dl)

105 (25)

 Total cholesterol (mg/dl)

167 (47)

 HDL cholesterol (mg/dl)

42 (9)

 Triglycerides (mg/dl)

107 (52)

 Serum creatinine (mg/dl)

1.03 (0.2)

 Current smoking (%)

6

Medical history (%)

 Coronary artery by-pass graft

41

 Myocardial infarction

39

 PTCA

30

 Valvular repair/replacement

11

 Other

8

Medications (%)

 ACE inhibitor or ARB

89

 Aspirin

80

 β-blockers

89

 Calcium antagonists

14

 Diuretics

81

 Statins

75

Data are presented as mean (standard deviation) or percentage. ACE angiotensin-converting enzyme, ARB angiotensin receptor blocker, CVD cardiovascular disease, NYHA New York Heart Association, PTCA Percutaneous Transluminal Coronary Angioplasty

Average walking speed during the 500-m treadmill-walking test was 4.37 ± 1.08 km/h. Mean heart rate was 90 ± 21 bpm, representing 59% ± 14% of the age-predicted maximal heart rate (based on 220-age).

VO2peak values measured by CPX and predicted from the 500-m treadmill-walking test resulted 21.6 ± 4.9 mL/kg/min and 21.7 ± 4.6 mL/kg/min respectively (t = 0.9, P = 0.37). 500-m test results are presented in Table 2.
Table 2

500-m treadmill walking test results

Variable

Mean (SD)

Exercise time (min:sec)

6:51 (2:24)

Mean walking speed (km/h)

4.37 (1.08)

Highest walking speed (km/h)

4.54 (1.06)

Mean heart rate (bpm)

90 (21)

Highest heart rate (bpm)

94 (17)

Estimated VO2peak (mL/kg/min)

21.7 (4.7)

Data are presented as mean (standard deviation)

The correlation coefficient between measured and predicted VO2peak was 0.97 (P < 0.0001), and the SEE was 0.7 mL/kg/min. The slope and the intercept of the relationship between measured and predicted VO2peak were not significantly different from the line of identity (Passing and Bablock analysis, P = 0.50, Fig. 1). The Concordance Correlation Coefficient resulted 0.97. Residuals were normally distributed with a mean residual value of − 0.1 mL/kg/min. Examination of the Bland-Altman analysis do not show systematic or proportional error (Fig. 2).
Fig. 1
Fig. 1

Regression of the VO2peak estimated from 500-m moderate treadmill-walking test on the measured VO2peak (y = 2,37 + 0,90×). The diagonal line represents the line of perfect agreement (line of identity), and the dotted lines represent confidence interval lines

Fig. 2
Fig. 2

Difference compared to the mean of VO2 measured by CPX and estimated from 500-m walk (Bland and Altman plot)

Discussion

The major finding of this study was the VO2peak prediction by a 500-m treadmill-walking test carried out at moderate intensity in subjects with HFrEF. Predicted VO2peak strongly paralleled VO2peak measured directly by CPX. This was supported by the high correlation and concordance coefficients, and by the small SEE (0.7 mL/kg/min). These findings suggest that the equations validated for predicting VO2peak using a 1000-m moderate treadmill walk in outpatients with CVD and preserved ejection fraction, are similarly appropriate for predicting VO2peak when using a 500-m moderate treadmill walk in CHF outpatients with mild to moderately reduced ejection fraction.

These results are in agreement with those obtained by others that have attempted to predict VO2peak using sub-maximal walking protocols, mainly in healthy subjects and in patients with CVD and preserved LVEF [5, 7, 2124].

In our study, by using population specific-equations developed for men with CVD and preserved LVEF, VO2peak was accurately estimated in adults and elderly subjects with HFrEF by performing a 500-m moderate walk. In addition, the relationship between moderate and perceptually regulated walking and cardiorespiratory fitness in CHF outpatients has not been determined in previous studies. Correlation coefficients observed in our original study [13] and the present results further support the strong association between walking speed and peak VO2 [4].

The 500-m treadmill-walking test relies on the familiar task of moderate walking, which is the most common activity engaged in by adults. In particular, older adults reported that walking was their preferred form of exercise [25, 26]. The habitual nature of walking reduces the possibility that lack of familiarity with the task reduces the predictive accuracy of the results. This characteristic may also make the 500-m walking test particularly appropriate for less fit patients or for those whom walking is their preferred form of physical activity. This reduces the influence that lack of familiarity with the task might have on the accuracy of the test. Various walking tests have also been proposed as functional tools s for patients with CHF; thus, we felt that a submaximal test such as the 500-m treadmill-walking test would be valuable in this population, particularly for low-resource settings [12].

An advantage of the 500-m treadmill-walking test is the fact that it is performed at an individualized and patient-determined moderate intensity (11 to 13 on the RPE scale). This was confirmed by the average 59% of the age-predicted maximal heart rate value in the present study, which falls within current recommended limits (55% to 69%) for moderate intensity [27]. Moreover, the average heart rate during the 500-m test was close and well correlated with the heart rate value at ventilatory threshold during CPX (90 ± 21 bpm vs 93 ± 16 bpm, R = 0.83, P < 0.0001).

As such, the test may also serve as a learning trial for proper intensity for an exercise prescription. In fact, the exercise intensity at an RPE value between 11 and 13/20 has been associated with the lactate threshold, independent of training state [28]. Aerobic conditioning at such an intensity has been demonstrated to be safe and optimal to enhance cardiorespiratory function in patients with chronic disease [28].

The 500-m treadmill-walking test is a simple test that could be applied to stable mild-to-moderate CHF subjects, accurately reflecting activities of daily living. The current results provide insights into the underlying characteristics and treatment of CHF patients with reduced left ventricular ejection fraction, which may be useful to help quantify CRF improvement or deterioration.

Study limitations

First, the small number of patients is a limit of this study. Second, our study comprised male participants only: thus, the results may not be generalizable to women. Third, participants were in the mid-range of reduced LVEF, and therefore the results may not apply to patients with more impaired ventricular function. Fourth, these results were obtained from patients with an interest in participating in an exercise-based secondary prevention program. Finally, reproducibility was not assessed in this study. However, we previously demonstrated good cross-validation and reproducibility among cardiac outpatients performing the test over the 1000-m distance [13]. Therefore, external validation of our findings is needed. In particular, future work should focus on the application of the protocol to women with CVD and to subjects with more impaired CRF, as well as to examine the prognostic value of the 500-m moderate walking test, including the determination of clinically meaningful cut-points.

Conclusions

In outpatients with mild-to-moderate CHF, the determination of submaximal exercise capacity by a moderate and perceptually-regulated the 500-m treadmill-walking test, accurately predicts VO2peak. Since it is important to document functional capacity in heart failure patients over time, the 500-m treadmill-walking test represents a simple and potentially useful tool in the serial evaluation of clinical status or the response to therapeutic interventions including exercise prescription. While the CPX remains the gold-standard for cardiorespiratory fitness assessment in chronic heart failure patients, the 500-m walking test may also provide an inexpensive screening tool in this and other patient groups in which it has been validated.

Abbreviations

1 k-TWT: 

1-km treadmill walking test

BMI: 

body mass index

BP: 

blood pressure

CHF: 

chronic heart failure

CPX: 

Cardiopulmonary exercise testing

CRF: 

cardiorespiratory fitness

CVD: 

cardiovascular disease

HFrEF: 

heart failure and reduced left ventricular dysfunction

LVEF: 

left ventricular dysfunction

NYHA: 

New York Hear Association

RPE: 

rate of perceived exertion

SEE: 

standard errors of estimate

VO2peak: 

peak oxygen uptake

VT: 

Ventilatory threshold

Declarations

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

GM, BS, GP, JM, SM, SV, FC, GC, GG takes responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation. All authors made substantial contributions to conception, design, acquisition of data, analysis and interpretation of data. All authors were involved in drafting the manuscript or revising it critically for important intellectual content and given final approval of the version to be published. Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy and integrity of any part of the work are appropriately investigated and resolved.

Ethics approval and consent to participate

The study was approved by the Human Studies Committee of the University of Ferrara, no. 22–13, and all subjects gave written informed consent.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
(2)
Public Health Department, AUSL Ferrara, Ferrara, Italy
(3)
Department of Medicine, Division of Cardiology, Cento Hospital, AUSL Ferrara, Ferrara, Italy
(4)
Department of Medicine, Division of Cardiology, “Delta” Hospital, AUSL Ferrara, Ferrara, Italy
(5)
Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
(6)
Stanford University School of Medicine, Stanford, CA, USA
(7)
Center of Biomedical Studies Applied to Sport, University of Ferrara, via Gramicia 35 -, 44123 Ferrara, Italy
(8)
Department of Medical Sciences, University of Ferrara, Ferrara, Italy
(9)
General Directorship for Public Health and Integration Policy, Emilia-Romagna Region, Bologna, Italy

References

  1. Ross R, Blair SN, Arena R, et al. Importance of assessing cardiorespiratory fitness in clinical practice: A case for fitness as a clinical vital sign. A Scientific Statement from the American Heart Association. Circulation 2016;134(24):e653–99. https://doi.org/10.1161/CIR.0000000000000461.
  2. Corrà U, Mezzani A, Bosimini E, et al. Cardiopulmonary exercise testing and prognosis in chronic heart failure: a prognosticating algorithm for the individual patient. Chest. 2004;126:942–50.View ArticlePubMedGoogle Scholar
  3. Corrà U, Piepoli MF, Carré F, et al. Secondary prevention through cardiac rehabilitation: physical activity counselling and exercise training. Eur Heart J. 2010;31:1967–76.View ArticlePubMedGoogle Scholar
  4. Simonsick EM, Fan E, Fleg JL. Estimating cardiorespiratory fitness in well-functioning older adults: treadmill validation of the long distance corridor walk. J Am Geriatr Soc. 2006;54:127–32.View ArticlePubMedGoogle Scholar
  5. Pober DM, Freedson PS, Kline GM, et al. Development and validation of a one-mile treadmill walk test to predict peak oxygen uptake in healthy adults ages 40 to 79 years. Can J Appl Physiol. 2002;27:575–88.View ArticlePubMedGoogle Scholar
  6. Beatty AL, Schiller NB, Whooley MA. Six-minute walk test as a prognostic tool in stable coronary heart disease. Arch Int Med. 2012;172:1096–102.View ArticleGoogle Scholar
  7. Kline GM, Porcari JP, Hintermeister R, et al. Estimation of VO2max from a one-mile track walk, gender, age, and body weight. Med Sci Sports Exerc. 1987;19:253–259.View ArticleGoogle Scholar
  8. Newman AB, Simonsick EM, Naydeck BL, et al. Association of long-distance corridor walk performance with mortality, cardiovascular disease, mobility limitation, and disability. JAMA. 2006;295:2018–26.View ArticlePubMedGoogle Scholar
  9. Morice A, Smithies T. The 100m walk: a simple and reproducible exercise test. Br J Dis Chest. 1984;78:392–4.View ArticlePubMedGoogle Scholar
  10. Clarke J, De Lannoy L, Ross R. Comparison of measures of maximal and submaximal fitness in response to exercise. Med Sci Sports Exerc. 2017;49:711–6.View ArticlePubMedGoogle Scholar
  11. Best JR, Liu-Ambrose T, Metti AL, et al. Longitudinal associations between walking speed and amount of self-reported time spent walking over a 9-year period in older women and men. J Gerontol Medical Sciences. 2017; https://doi.org/10.1093/gerona/glx129.
  12. Grace SL, Turk-Adawic KI, Contractor A, et al. Cardiac RehabilitationDeliveryModel for low-resource settings: an International Council of Cardiovascular Prevention and Rehabilitation Consensus Statement. Prog Cardiovasc Dis. 2016;59:303–22.View ArticlePubMedGoogle Scholar
  13. Chiaranda G, Myers J, Mazzoni G, et al. Peak oxygen uptake prediction from a moderate, perceptually regulated, 1-km treadmill walk in male cardiac patients. J Cardiopulm Rehabil Prev. 2012;32:262–9.View ArticlePubMedGoogle Scholar
  14. Grazzi G, Chiaranda G, Myers J, Pasanisi G, Lordi R, Conconi F, Mazzoni G. Outdoor reproducibility of a 1-km treadmill-walking test to predict peak oxygen consumption in cardiac outpatients. J Cardiopulm Rehab Prev. 2017;37(5):347–9.View ArticleGoogle Scholar
  15. Chiaranda G, Bernardi E, Codecà L, et al. Treadmill walking speed and survival prediction in men with cardiovascular disease: a 10-year follow-up study. BMJ Open. 2013;3:e003446.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Grazzi G, Myers J, Bernardi E, et al. Association between VO2peak estimated by a 1-km treadmill walk and mortality. A 10-year follow-up study in patients with cardiovascular disease. Int J Cardiol. 2014;173:248–52.View ArticlePubMedGoogle Scholar
  17. Grazzi G, Mazzoni G, Myers J, et al. Improved walking speed is associated with lower hospitalisation rates in patients in an exercise-based secondary prevention programme. Heart. 2016 Dec 1;102(23):1902–8. https://doi.org/10.1136/heartjnl-2015-309126.View ArticlePubMedGoogle Scholar
  18. American Association of Cardiovascular and Pulmonary Rehabilitation. Guidelines for cardiac rehabilitation and secondary prevention programs, 4th ed. Champaign, IL: Human Kinetics; 2004.Google Scholar
  19. Balady GJ, Arena R, Sietsema K, et al. Clinician’s guide to cardiopulmonary exercise testing in adults. A scientific statement from the American Heart Association. Circulation. 2010;122:191–225.View ArticlePubMedGoogle Scholar
  20. Guazzi M, Adams V, Conraads V, et al. Clinical recommendations for cardiopulmonary exercise testing data assessment in specific patient populations. Circulation. 2012;126:2261–74.View ArticlePubMedPubMed CentralGoogle Scholar
  21. American College of Sports Medicine’s Guidelines for Exercise Testing and Prescription 8th ed. Philadelphia. PA. In: Lippincot Williams & Wilkins; 2010.Google Scholar
  22. Lipkin DP, Scriven AJ, Crake T, et al. Six minute walking test for assessing exercise capacity in chronic heart failure. BMJ. 1988;292:653–5.View ArticleGoogle Scholar
  23. Vehrs PR, Georgea JA, Fellinghamb GW, et al. Submaximal treadmill exercise test to predict VO2max in fit adults. Meas Phys Educ Exerc Sci. 2007;11(2):61–72.View ArticleGoogle Scholar
  24. Widrick J, Ward A, Ebbeling C, et al. Treadmill validation of an over-ground walking test to predict peak oxygen consumption. Eur J Appl Physiol. 1992;64:304–8.View ArticleGoogle Scholar
  25. Belza B, Walwick J, Shiu-Thornton S, et al. Older adult perspectives on physical activity and exercise: voices from multiple cultures. Prev Chronic Dis. 2004;1:1–12.Google Scholar
  26. Burton E, Lewin G, Boldy D. Physical activity preferences of older home care clients. Int J Older People Nursing. 2015;10:170–8.View ArticleGoogle Scholar
  27. Mezzani A, Hamm LF, Jones AM, et al. European Association for Cardiovascular Prevention and Rehabilitation, American Association of Cardiovascular and Pulmonary Rehabilitation, Canadian Association of Cardiac Rehabilitation. Aerobic exercise intensity assessment and prescription in cardiac rehabilitation: a joint position statement of the European Association for Cardiovascular Prevention and Rehabilitation, the American Association of Cardiovascular and Pulmonary Rehabilitation and the Canadian association of cardiac rehabilitation. Eur J Prev Cardiol. 2013;20(3):442–67.View ArticlePubMedGoogle Scholar
  28. Nakagaichi M, Tanaka K. Development of a 12-min treadmill walk test at a self-selected pace for the evaluation of cardiorespiratory fitness in adult men. Appl Hum Sci. 1998;17(6):281–8.View ArticleGoogle Scholar

Copyright

© The Author(s). 2018

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