treadmill desk workloads. As such, it is unclear whether pedal or treadmill desks elicit greater EE responses when matched on workload. Moreover, it remains unknown whether pedal or treadmill desks elicit greater EE responses when users are given the option to self-select their own intensities (workloads
John M. Schuna Jr., Daniel S. Hsia, Catrine Tudor-Locke, and Neil M. Johannsen
Callum G. Brownstein, Derek Ball, Dominic Micklewright, and Neil V. Gibson
maturation occurs. An alternative approach that could address individual and maturational differences in fatigue susceptibility during repeated sprints is to allow participants to self-select between-sprint recovery intervals. This approach has been applied in adult populations, with studies finding that
Ashley A. Herda, Brianna D. McKay, Trent J. Herda, Pablo B. Costa, Jeffrey R. Stout, and Joel T. Cramer
self-selected intensities ( Elsangedy et al., 2013 ). Studies have reported greater adherence to lower intensity exercise compared with greater attrition with higher intensity exercise, regardless of the exercise mode ( Martin & Sinden, 2001 ). Having supervision or guidance during exercise improves
Antonio Dello Iacono, Marco Beato, and Israel Halperin
is, will performance improve due to the self-selected volume, leading to an enhanced fatigue–potentiation relationship, or will the fact that the participants are allowed to choose and act autonomously increase their motivation and drive to complete the task in a superior manner? To an extent, it is
Lucas Eduardo Rodrigues Santos, André dos Santos Costa, Eduardo Caldas Costa, Vinicius Oliveira Damasceno, Zhaojing Chen, Izaildo Alves de Oliveira, Karla Kristine Dames, Flávio Oliveira Pires, and Tony Meireles Santos
exercise at moderate intensity ( Ballin et al., 2019 ; Batacan et al., 2017 ; Boukabous et al., 2019 ; Gibala, 2020 ; Wewege et al., 2017 ). Currently, alternative forms to HIIT (e.g., Moderate-Intensity Interval Training, Self-Selected Exercises) have been investigated in order to promote optimal
Tércio A.R. Barros, Wagner L. do Prado, Thiago R.S. Tenório, Raphael M. Ritti-Dias, Antônio H. Germano-Soares, Babu P. Balagopal, James O. Hill, and Ricardo Freitas-Dias
major challenge in obesity treatment but also poses a significant barrier to translating the current scientific knowledge into effective public health policies ( 8 ). Self-selected intensity of exercise (SEI), enabling the participants to choose their own exercise intensity ( 8 ), has been proposed as
Rebecca L. Krupenevich and Ross H. Miller
joint kinetics and larger ankle kinetics compared with walking with a self-selected step length. Additionally, the active torque–angle relationship of the hip extensor muscles indicates that more torque can be generated at larger flexion angles. Therefore, we also hypothesized that, when maintaining an
Florian A. Engel, Stefan Altmann, Hamdi Chtourou, Alexander Woll, Rainer Neumann, Tomer Yona, and Billy Sperlich
competitive youth soccer matches ( 26 ). Gibson et al ( 26 ) suggested that it would be beneficial for repeated sprint assessment in young soccer players to be based on sprint sequences with self-selected recovery periods in order to increasingly resemble the nonuniform patterns of recovery periods during
Kate E. Sheppard and Gaynor Parfitt
This study examined the patterning of acute affective responses to prescribed and self-selected exercise intensities in a young adolescent population. Twenty-two young adolescents (13.3 ± .33 years) completed a maximal exercise test to identify ventilatory threshold (VT). Participants then completed two prescribed intensities (one set above and one below the VT) and a self-selected intensity. Pre-, during, and postexercise affective valence was measured. Results revealed that during exercise, affective valence assessed by the Feeling Scale (FS) remained positive in the self-selected and low-intensity conditions but declined in the high-intensity condition. Postexercise FS responses rebounded to preexercise levels, eradicating divergent trends that occurred during exercise.
Jerry Mayo, Brian Lyons, Kendal Honea, John Alvarez, and Richard Byrum
Rehabilitation specialists should understand cardiovascular responses to different movement patterns.
To investigate physiological responses to forward- (FM), backward- (BM), and lateral-motion (LM) exercise at self-selected intensities.
Within-subjects design to test independent variable, movement pattern; repeated-measures ANOVA to analyze oxygen consumption (VO2), heart rate (HR), respiratory-exchange ratio (RER), and ratings of perceived exertion (RPE).
10 healthy women.
VO2 and HR were significantly higher during LM than during FM and BM exercise. The respective VO2 (ml · kg · min–1) and HR (beats/min) values for each condition were FM 25.19 ± 3.6, 142 ± 11; BM 24.24 ± 2.7, 145 ± 12; and LM 30.5 ± 4.6, 160 ± 13. No differences were observed for RER or RPE.
At self-selected intensities all 3 modes met criteria for maintaining cardiovascular fitness. Practitioners can use these results to develop rehabilitation programs based on clients’ perception and level of discomfort