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1.
Respiration ; 88(2): 92-100, 2014.
Article in English | MEDLINE | ID: mdl-24851826

ABSTRACT

BACKGROUND: Physical activity recommendations are hardly studied in patients with chronic obstructive pulmonary disease (COPD), and specifically recommendations that are individualized to a patient's aerobic fitness level are not studied. OBJECTIVES: To compare individualized (relative) and nonindividualized (absolute) physical activity recommendations in patients with COPD and to assess whether there are differences between patients with mild to moderate and (very) severe COPD. METHODS: We compared 7 different physical activity recommendations that were described in the literature. Four recommendations were individualized based on the patient's aerobic fitness level measured by a maximal cycle ergometer test. Three recommendations were nonindividualized. The recommendations were measured with an accelerometer, pedometer or questionnaire in 115 patients with mild to very severe COPD (68% male, mean age 65 years, mean FEV1 58% predicted). RESULTS: The percentage of patients that met the different recommendations ranged from 22 to 86% and only 8 patients met all 7 recommendations. The agreement between the different recommendations was poor (intraclass correlation coefficient, 0.28). Individualizing the recommendations resulted in a higher number of patients with severe or very severe COPD meeting the individualized recommendations compared to the nonindividualized recommendations. In contrast, patients with mild to moderate COPD less frequently met the individualized recommendations. CONCLUSIONS: Our study showed that applying various physical activity recommendations with small differences in frequency, intensity or time led to large differences in the classification of patients with COPD into being sufficiently physically active or not. Consequently, the used recommendation will highly affect the proposed physical activity advice to the patient.


Subject(s)
Exercise , Pulmonary Disease, Chronic Obstructive/therapy , Aged , Exercise Test , Female , Forced Expiratory Volume , Humans , Male , Middle Aged , Patient Compliance/statistics & numerical data , Precision Medicine , Severity of Illness Index
2.
Eur J Sport Sci ; 14(3): 251-8, 2014.
Article in English | MEDLINE | ID: mdl-23581294

ABSTRACT

We hypothesised that experienced runners would select a stride frequency closer to the optimum (minimal energy costs) than would novice runners. In addition, we expected that optimal stride frequency could simply be determined by monitoring heart rate without measuring oxygen consumption (VO2). Ten healthy males (mean ±s: 24±2 year) with no running training experience and 10 trained runners of similar age ran at constant treadmill speed corresponding to 80% of individual ventilatory threshold. For two days, they ran at seven different stride frequencies (self-selected stride frequency ±18%) imposed by a metronome. Optimal stride frequency was based on the minimum of a second-order polynomial equation fitted through steady state VO2 at each stride frequency. Running cost (mean±s) at optimal stride frequency was higher (P < 0.05) in novice (236±31 ml O2·kg(-1.) km(-1)) than trained (189±13 ml O2·kg(-1.) km(-1)) runners. Self-selected stride frequency (mean ±s; strides(.)min(-1)) for novice (77.8±2.8) and trained runners (84.4±5.3) were lower (P < 0.05) than optimal stride frequency (respectively, 84.9±5.0 and 87.1±4.8). The difference between self-selected and optimal stride frequency was smaller (P < 0.05) for trained runners. In both the groups optimal stride frequency established with heart rate was not different (P > 0.3) from optimal stride frequency based on VO2. In each group and despite limited variation between participants, optimal stride frequencies derived from VO2 and heart rate were related (r > 0.7; P < 0.05). In conclusion, trained runners chose a stride frequency closer to the optimum for energy expenditure than novices. Heart rate could be used to establish optimal stride frequency.


Subject(s)
Oxygen Consumption/physiology , Running/physiology , Adult , Energy Metabolism/physiology , Exercise Test , Foot/physiology , Heart Rate/physiology , Humans , Male , Young Adult
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