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1.
Clinics ; 68(7): 974-978, jul. 2013. tab
Article in English | LILACS | ID: lil-680697

ABSTRACT

OBJECTIVE: To assess the acute metabolic and cardiovascular responses to walking exercise at an intensity corresponding to the heart rate of claudication pain onset and to investigate the effects of a 12-week walking training program at this intensity on walking capacity. METHODS: Twenty-nine patients with intermittent claudication were randomly allocated to the walking training (n = 17) or control (CO, n = 12) group. The walking training group performed an acute exercise session comprising 15×2-min bouts of walking at the heart rate of claudication pain onset, with 2-min interpolated rest intervals. The claudication symptoms and cardiovascular and metabolic responses were evaluated. Walking training was then performed at the same intensity twice each week for 12 weeks, while the control group engaged in twice weekly stretching classes. The claudication onset distance and total walking distance were evaluated before and after the interventions. Brazilian Registry Clinical Trials: RBR-7M3D8W. RESULTS: During the acute exercise session, the heart rate was maintained within tight limits. The exercise intensity was above the anaerobic threshold and >80% of the heart rate peak and VO2peak. After the exercise training period, the walking exercise group (n = 13) showed increased claudication onset distance (309±153 vs. 413±201m) and total walking distance (784±182 vs. 1,100±236m) compared to the control group (n = 12) (p<0.05). CONCLUSION: Walking exercise prescribed at the heart rate of claudication pain onset enables patients with intermittent claudication to exercise with tolerable levels of pain and improves walking performance. .


Subject(s)
Aged , Female , Humans , Male , Middle Aged , Exercise Therapy/methods , Heart Rate/physiology , Intermittent Claudication/therapy , Walking/physiology , Analysis of Variance , Exercise Test , Intermittent Claudication/metabolism , Intermittent Claudication/physiopathology , Oxygen Consumption/physiology , Pain Measurement , Statistics, Nonparametric , Time Factors , Treatment Outcome
2.
Clinics ; 68(4): 537-541, abr. 2013. tab, graf
Article in English | LILACS | ID: lil-674235

ABSTRACT

OBJECTIVE: To estimate walking capacity in intermittent claudication patients through a prediction model based on clinical characteristics and the walking impairment questionnaire. METHODS: The sample included 133 intermittent claudication patients of both genders aged between 30 and 80 years. Data regarding clinical characteristics, the walking impairment questionnaire and treadmill walking test performance were obtained. Multiple regression modeling was conducted to predict claudication onset distance and total walking distance using clinical characteristics (age, height, mass, body mass index, ankle brachial index lower, gender, history of smoking and co-morbid conditions) and walking impairment questionnaire responses. Comparisons of claudication onset distance and total walking distance measured during treadmill tests and estimated by a regression equation were performed using paired t-tests. RESULTS: Co-morbid conditions (diabetes and coronary artery disease) and questions related to difficulty in walking short distances (walking indoors - such as around your house and walking 5 blocks) and at low speed (walking 1 block at average speed - usual pace) resulted in the development of new prediction models high significant for claudication onset distance and total walking distance (p<0.001). In addition, non-significant differences from the results obtained by the treadmill test and estimated by the current model (p>0.05) were observed. CONCLUSION: The current study demonstrated that walking capacity can be adequately estimated based on co-morbid conditions and responses to the walking impairment questionnaire. .


Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Intermittent Claudication/physiopathology , Peripheral Arterial Disease/physiopathology , Walking/physiology , Ankle Brachial Index , Body Mass Index , Exercise Test , Predictive Value of Tests , Reproducibility of Results , Risk Factors , Surveys and Questionnaires
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