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1.
Clin J Sport Med ; 28(6): 509-515, 2018 11.
Article in English | MEDLINE | ID: mdl-29189337

ABSTRACT

OBJECTIVE: To investigate the correlation between acute exercise effects and chronic training effects on blood pressure (BP). DESIGN: Randomized, controlled training study focusing on the optimization of preventive effects of physical training. SETTING: The study was performed in a university department. PARTICIPANTS: One hundred twenty-seven healthy, untrained subjects. INTERVENTION: Subjects were divided into 4 groups: interval endurance training (IET) (n = 26, 4 × 4 min at 95% maximal heart rate), continuous endurance training (CET) (n = 23, 45 minutes at 60% heart rate reserve), strength endurance training (SET) (n = 40, 8 machine-based exercises, each 2 x 15 repetitions at the 20 repetition maximum), and control (CON) (n = 38). In the 3 training groups, subjects trained 3 times a week for 6 months, the CON group was asked to retain their sedentary lifestyle. MAIN OUTCOME MEASURES: The acute exercise effect on BP was defined as the change of BP after an exhaustive stage test, compared with baseline. The chronic training effect on BP was determined as the change of resting BP after the 6-month training period. RESULTS: For CET, a significant correlation between acute and chronic effects on systolic (r = 0.66, P = 0.001) and diastolic (r = 0.66, P = 0.001) BP was observed. For SET, a significant correlation (r = 0.45, P = 0.007) was found only for diastolic BP. No significant correlations were found for IET. CONCLUSIONS: It can be assumed that postexercise hypotension is an easy-to-use predictor for the efficacy of CET to reduce BP, and may be a valuable tool for physicians to individualize prescribed training schedules for patients to reduce cardiovascular risk. TRIAL REGISTRATION: www.clinicaltrials.gov; ID: NCT01263522.


Subject(s)
Blood Pressure , Exercise , Hypertension/prevention & control , Post-Exercise Hypotension/diagnosis , Adult , Exercise Test , Female , Heart Rate , Humans , Male , Middle Aged , Physical Endurance , Resistance Training , Sedentary Behavior
2.
J Appl Physiol (1985) ; 118(12): 1450-9, 2015 Jun 15.
Article in English | MEDLINE | ID: mdl-25663672

ABSTRACT

In the era of personalized medicine, interindividual differences in the magnitude of response to an exercise training program (subject-by-training interaction; "individual response") have received increasing scientific interest. However, standard approaches for quantification and prediction remain to be established, probably due to the specific considerations associated with interactive effects, in particular on the individual level, compared with the prevailing investigation of main effects. Regarding the quantification of subject-by-training interaction in terms of variance components, confounding sources of variability have to be considered. Clearly, measurement error limits the accuracy of response estimates and thereby contributes to variation. This problem is of particular importance for analyses on the individual level, because a low signal-to-noise ratio may not be compensated by increasing sample size (1 case). Moreover, within-subject variation in training efficacy may contribute to gross response variability. This largely unstudied source of variation may not be disclosed by comparison to a control group but calls for repeated interventions. A second critical point concerns the prediction of response. There is little doubt that exercise training response is influenced by a multitude of determinants. Moreover, indications of interaction between influencing factors of training efficacy lead to the hypothesis that optimal predictive accuracy may be attained using an interactive rather than additive approach. Taken together, aiming at conclusive inference and optimal predictive accuracy in the investigation of subject-by-training interaction entails specific requirements that are deducibly based on statistical principles but beset with many practical difficulties. Therefore, pragmatic alternatives are warranted.


Subject(s)
Data Interpretation, Statistical , Exercise/physiology , Physical Education and Training/statistics & numerical data , Humans
3.
BMC Med ; 11: 235, 2013 Nov 05.
Article in English | MEDLINE | ID: mdl-24191966

ABSTRACT

BACKGROUND: The recent discovery of a new myokine (irisin) potentially involved in health-related training effects has gained great attention, but evidence for a training-induced increase in irisin remains preliminary. Therefore, the present study aimed to determine whether irisin concentration is increased after regular exercise training in humans. METHODS: In a randomized controlled design, two guideline conforming training interventions were studied. Inclusion criteria were age 30 to 60 years, <1 hour/week regular activity, non-smoker, and absence of major diseases. 102 participants could be included in the analysis. Subjects in the training groups exercised 3 times per week for 26 weeks. The minimum compliance was defined at 70%. Aerobic endurance training (AET) consisted of 45 minutes of walking/running at 60% heart rate reserve. Strength endurance training (SET) consisted of 8 machine-based exercises (2 sets of 15 repetitions with 100% of the 20 repetition maximum). Serum irisin concentrations in frozen serum samples were determined in a single blinded measurement immediately after the end of the training study. Physical performance provided positive control for the overall efficacy of training. Differences between groups were tested for significance using analysis of variance. For post hoc comparisons with the control group, Dunnett's test was used. RESULTS: Maximum performance increased significantly in the training groups compared with controls (controls: ±0.0 ± 0.7 km/h; AET: 1.1 ± 0.6 km/h, P < 0.01; SET: +0.5 ± 0.7 km/h, P = 0.01). Changes in irisin did not differ between groups (controls: 101 ± 81 ng/ml; AET: 44 ± 93 ng/ml; SET: 60 ± 92 ng/ml; in both cases: P = 0.99 (one-tailed testing), 1-ß error probability = 0.7). The general upward trend was mainly accounted for by a negative association of irisin concentration with the storage duration of frozen serum samples (P < 0.01, ß = -0.33). After arithmetically eliminating this confounder, the differences between groups remained non-significant. CONCLUSIONS: A training-induced increase in circulating irisin could not be confirmed, calling into question its proposed involvement in health-related training effects. Because frozen samples are prone to irisin degradation over time, positive results from uncontrolled trials might exclusively reflect the longer storage of samples from initial tests.


Subject(s)
Exercise/physiology , Fibronectins/blood , Adult , Female , Humans , Male , Middle Aged , Serum/chemistry
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