Individual cardiovascular responsiveness to work-matched exercise within the moderate- and severe-intensity domains

Maturana, Felipe Mattioni; Schellhorn, Philipp; Erz, Gunnar; Burgstahler, Christof; Widmann, Manuel; Munz, Barbara; Soares, Rogério N.; Murias, Juan M.; Thiel, Ansgar; Nieß, Andreas M.

doi:10.1007/s00421-021-04676-7

Cited by 28 publications

(45 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HR was collected throughout all sessions using a HR belt (3-channel ECG; custo med GmbH, Ottobrunn, Germany). Based on this training monitoring, HR was adjusted to fitness changes over the weeks (for details, see Mattioni Maturana et al, 2021b ). This ensured that participants were always exercising within the originally prescribed relative intensity of exercise.…”

Section: Methodsmentioning

confidence: 99%

Different Endurance Exercise Modalities, Different Affective Response: A Within-Subject Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

Affect experienced during an exercise session is supposed to predict future exercise behavior. However, empirical evidence reveals high variability in affective response to different exercise modalities. Thus, the purpose of the present study was to compare acute affective response and its variation during three different endurance exercise modalities: (a) moderate-intensity continuous exercise (MICE), (b) vigorous-intensity continuous exercise (VICE), and (c) high-intensity interval exercise (HIIE). Using the dual-mode theory as a theoretical framework, cognitive and interoceptive factors were considered as potential predictors of in-task affective response. In a within-subject design, 40 insufficiently active healthy participants (aged from 20 to 40 years) attended three sessions per exercise modality on a cycle ergometer. Affective valence (measured by the Feeling Scale), two cognitive factors (perceived competence and awareness of interoceptive cues), and one interoceptive factor (heart rate) were assessed before, during, and after each exercise session. Mixed models with three levels (subject, exercise session, and time point) revealed more positive affective valence during MICE compared with VICE (p < 0.001) and HIIE (p < 0.01), while there was no significant difference between the latter two. Levene's test results showed the highest variability of in-task affective valence during VICE (ps < 0.01). Regarding the course across the session, MICE was associated with a constant slight increase in affective valence from pre- to post-exercise (p < 0.05), whereas VICE and HIIE caused a decline in pleasure, followed by an affective rebound immediately after exercise termination (ps < 0.01). The highest importance of cognitive and interoceptive factors for in-task affective valence was observed in VICE (ps < 0.05). The current findings provide support for the tenets of the dual-mode theory, however, indicating that there may be differences in the affect-intensity relationship between continuous and interval exercise. In conclusion, the study results concerning previously insufficiently active individuals extend the knowledge of how exercise can positively shape affective well-being depending on exercise modality and psychophysiological influences. This knowledge enables public health practitioners to design more individualized activity recommendations, thereby improving the subjective experience of exercise.

show abstract

Section: Methodsmentioning

confidence: 99%

Different Endurance Exercise Modalities, Different Affective Response: A Within-Subject Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

“…In this way, we retrieved one averaged dataset for each week. Thereafter, the weekly average response was compared with zones of smallest worthwhile difference around the prescribed heart rate [for further details, please see (Maturana et al, 2021)]. Minimum adherence: in order for participants to be included in the final analyses, a minimum of 15 out of the 18 prescribed exercise sessions in each training period had to be completed (minimum adherence = 83.3%).…”

Section: Exercise Training Interventionmentioning

confidence: 99%

Does Becoming Fit Mean Feeling (f)it? A Comparison of Physiological and Experiential Fitness Data From the iReAct Study

Gropper

Maturana

Nieß

et al. 2021

Front. Sports Act. Living

Self Cite

View full text Add to dashboard Cite

Regular exercise fosters fitness-enhancing benefits. We assume that exercise interventions become successful and sustainable if physiological benefits of exercise are also subjectively perceivable. The goal of this study was to examine how young inactive adults physiologically respond to an exercise intervention and how those responses are subjectively experienced. Furthermore, we aimed to assess whether the sequence of two distinct endurance-based exercise modes has an impact on physiological and subjectively experienced physical fitness. Thirty-one young inactive adults were assessed for this substudy of the larger iReAct study. Participants were randomly assigned to a high-intensity interval training (HIIT) or a moderate-intensity continuous training (MICT) group for 6 weeks and subsequently switched groups for a second training period. Physiological fitness data was collected at baseline, follow-up I, and follow-up II using a graded cardiopulmonary exercise test. Subjectively reconstructed (i.e., retrospective constructions) experiences relating to physical fitness were assessed at follow-up II using a biographical mapping method. A repeated-measures one-way ANOVA on each training group was performed to see whether physiological and subjectively experienced fitness differed across training periods. The rate of change between all variables was calculated for the first and the second training period in order to compare the agreement between physiological and subjective fitness improvements. Participants increased their fitness across the intervention period both physiologically and subjectively. However, the rate of change depended on the sequence of the two training modes. While VO2max increased significantly in both training periods in the MICT-HIIT sequence, a significant increase in VO2max in the HIIT-MICT sequence was only observed in the HIIT period. Participants similarly perceived those increases subjectively in their exercise-related physical fitness, although they experienced a significant decrease in the second period of the HIIT-MICT sequence. For subjectively perceived physical fitness relating to everyday activities, significant increases were only observed for the first period of the MICT-HIIT sequence. Young inactive adults can improve both their physiological and their subjectively perceived fitness through regular exercise. However, exercise modes and their sequence can make a substantial difference regarding measured and perceived physical fitness. Additionally, despite a favorable tendency toward HIIT over MICT, inter- and intra-individual variability, particularly in the subjective experiences of fitness, reiterates the necessity of individualized approaches to exercise.

show abstract

“…Those initially presenting in the lowest quintile ofV O 2 max appear to have a potentiated capacity to experience the greatest health reward in response to increases inV O 2 max (Harber et al, 2017). It appears that baselineV O 2 max affects subsequent response to training whereby a higher baselineV O 2 max hinders the potential for further adaptation (Astorino & Schubert, 2014;Saltin et al, 1969;Sisson et al, 2009 (Astorino & Schubert, 2014;Hautala et al, 2006;Maturana et al, 2021). It is plausible that a ceiling may exist in those with an already developed phenotype whereby the ability to elicit a metabolic strain potent enough to invoke adaptive signalling becomes diminished.…”

Section: Baseline Cardiorespiratory Fitnessmentioning

confidence: 99%

Biological and methodological factors affecting response variability to endurance training and the influence of exercise intensity prescription

Meyler

Bottoms

Muniz‐Pumares

2021

Experimental Physiology

View full text Add to dashboard Cite

Changes in cardiorespiratory fitness (CRF) in response to endurance training (ET) exhibit large variations, possibly due to a multitude of biological and methodological factors. It is acknowledged that ∼20% of individuals may not achieve meaningful increases in CRF in response to ET. Genetics, the most potent biological contributor, has been shown to explain ∼50% of response variability, whilst age, sex and baseline CRF appear to explain a smaller proportion. Methodological factors represent the characteristics of the ET itself, including the type, volume and intensity of exercise, as well as the method used to prescribe and control exercise intensity. Notably, methodological factors are modifiable and, upon manipulation, alter response rates to ET, eliciting increases in CRF regardless of an individual's biological predisposition.Particularly, prescribing exercise intensity relative to a physiological threshold (e.g., ventilatory threshold) is shown to increase CRF response rates compared to when intensity is anchored relative to a maximum physiological value (e.g., maximum heart rate). It is, however, uncertain whether the increased response rates are primarily attributable to reduced response variability, greater mean changes in CRF or both.Future research is warranted to elucidate whether more homogeneous chronic adaptations manifest over time among individuals, as a result of exposure to more homogeneous exercise stimuli elicited by threshold-based practices.

show abstract

Individual cardiovascular responsiveness to work-matched exercise within the moderate- and severe-intensity domains

Cited by 28 publications

References 97 publications

Different Endurance Exercise Modalities, Different Affective Response: A Within-Subject Study

Different Endurance Exercise Modalities, Different Affective Response: A Within-Subject Study

Does Becoming Fit Mean Feeling (f)it? A Comparison of Physiological and Experiential Fitness Data From the iReAct Study

Biological and methodological factors affecting response variability to endurance training and the influence of exercise intensity prescription

Contact Info

Product

Resources

About