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23 Sep 2024
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Development and validation of the Value of Physical Effort (VoPE) scale

Capturing Individual Differences in the Valuation of Physical Effort

Recommended by ORCID_LOGO based on reviews by Silvio Maltagliati and Erik Bijleveld
Physical effort has long been viewed as an aversive experience that people generally seek to avoid, giving rise to the so-called "law of least effort," which posits that, other things being equal, people tend to minimize effort when engaging in goal-directed tasks. This principle has recently been applied to physical activity behavior (Cheval & Boisgontier, 2021). 
 
However, beyond this general view of physical effort as an aversive experience to be avoided, substantial individual differences in the valuation of physical effort have been observed. This suggests that some individuals may actually evaluate physical effort positively. Contrary to the law of least effort, these individuals may prefer behavioral alternatives that require more effort, all else being equal (Inzlicht et al., 2018). Until the development of the Physical Effort Scale (Cheval et al., 2024) and the present work by Bieleke et al. (2024), no formal scale existed to capture such individual differences in the valuation of physical effort. The primary goal of the present study was to design, develop, and validate such a scale.
 
To achieve this goal, the authors conducted three independent studies (total N = 1,364) to establish the psychometric properties of the Value of Physical Effort (VoPE) scale (Bieleke et al., 2024). Across these studies, using both cross-sectional and longitudinal designs and a variety of statistical techniques (e.g., psychometric network analysis, elastic net regression), results indicated that the VoPE scale has robust associations with physical activity behaviors, strong test-retest reliability, and captures unique variance in predicting exercise behaviors. Taken together, these findings suggest that the VoPE scale is a valid and reliable measure of individual differences in the valuation of physical effort.
 
References

Bieleke M, Stähler J, Wolff W, Schüler J. Development and validation of the Value of Physical Effort (VoPE) scale.PsyArXiv. 2023, version 5. https://doi.org/10.31234/osf.io/pqw26. Peer-reviewed and recommended by Peer Community in Health and Movement Sciences. https://doi.org/10.24072/pci.healthmovsci.100115

Cheval B, Boisgontier MP. The theory of effort minimization in physical activity. Exerc Sport Sci Rev. 2021;49(3):168-178. https://doi.org/10.1249/JES.0000000000000252

Cheval B, Maltagliati S, Courvoisier DS, Marcora S, Boisgontier MP.Development and validation of the physical effort scale (PES). Psychology of Sport and Exercise. 2024;72:102607. https://doi.org/10.1016/j.psychsport.2024.102607

Inzlicht M, Shenhav A, Olivola CY. The effort paradox: effort is both costly and valued. Trends Cogn Sci. 2018;22(4):337-349. https://doi.org/10.1016/j.tics.2018.01.007
Development and validation of the Value of Physical Effort (VoPE) scaleMaik Bieleke, Johanna Stähler, Wanja Wolff, Julia Schüler<p>Physical effort has instrumental value because it helps people attain their goals. Growing evidence suggests that people might also experience the exertion of effort itself as valuable. To test this idea, we developed and examined the 4-item Va...Exercise & Sports Psychology, Physical ActivityBoris Cheval Erik Bijleveld, Silvio Maltagliati2024-04-10 11:44:26 View
30 Aug 2024
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Comparing arm to whole-body motor control disambiguates age-related deterioration from compensation

Aging of upper-limb and whole-body movement efficiency

Recommended by ORCID_LOGO based on reviews by Florian Monjo, Pierre Morel, Zack van Allen and 1 anonymous reviewer

This study by Mathieu et al. (2024) builds on previous computational research showing that human arm movements use gravity to save energy and be more efficient (Berret et al., 2008; Crevecoeur et al., 2009; Gaveau et al., 2014, 2021), as well as on experimental research showing that kinematic and electromyographic markers are directly related to this energetic efficiency (Gaveau et al., 2016). 
 
The primary objective of this study by Mathieu et al. (2024) was to compare the effect of age on movement efficiency in an upper limb task and three whole-body tasks. These two types of tasks are often studied independently in the literature. Therefore, testing them in the same study allows the generalizability of the effect of age on movement efficiency to be examined. Electromyographic and kinematic patterns were compared in younger (n = 20) and older adults (n = 24), and movement efficiency was assessed using an index based on the activity of antigravity muscles. Results suggest that the effect of age is dependent on the type of movement. Specifically, older adults used gravity less than younger adults when performing whole-body movements, whereas no such age effect was evidenced when performing arm movements. The authors interpret this effect as an adaptation of whole-body movement strategies that compensates for age-related changes in body structures and functions to stabilize postural balance.
 
These findings contribute to the literature on postural control and how it differs from movement control that does not include the constraint of maintaining body balance, i.e., avoiding falls. Specifically, these results suggest that our brain implements a movement strategy specific to movements that require body balance, and that the efficiency of this strategy is affected by age. Further research would help to determine whether this efficiency, although altered, remains optimal throughout the age-related decline of body systems, or whether priorities change across aging, with stability and fall avoidance becoming more valued than energetic efficiency.​
 
References
- Berret, B., Darlot, C., Jean, F., Pozzo, T., Papaxanthis, C., & Gauthier, J. P. (2008). The inactivation principle: mathematical solutions minimizing the absolute work and biological implications for the planning of arm movements. PLoS Computational Biology, 4(10), e1000194. https://doi.org/10.1371/journal.pcbi.1000194
- Crevecoeur, F., Thonnard, J. L., & Lefèvre, P. (2009). Optimal integration of gravity in trajectory planning of vertical pointing movements. Journal of Neurophysiology, 102(2), 786–796. https://doi.org/10.1152/jn.00113.2009
- Gaveau, J., Berret, B., Angelaki, D. E., & Papaxanthis, C. (2016). Direction-dependent arm kinematics reveal optimal integration of gravity cues. eLife, 5, e16394. https://doi.org/10.7554/eLife.16394
- Gaveau, J., Grospretre, S., Berret, B., Angelaki, D. E., & Papaxanthis, C. (2021). A cross-species neural integration of gravity for motor optimization. Science Advances, 7(15), eabf7800. https://doi.org/10.1126/sciadv.abf7800
- Mathieu, R., Chambellant, F., Thomas, E., Papaxanthis, C., Hilt, P., Manckoundia, P., Mourey, F., & Gaveau J. (20024). Comparing arm to whole-body motor control disambiguates age-related deterioration from compensation. bioRxiv, version 5. Peer-reviewed and recommended by Peer Community in Health and Movement Sciences. https://doi.org/10.1101/2024.02.16.576683

Comparing arm to whole-body motor control disambiguates age-related deterioration from compensationRobin Mathieu, Florian Chambellant, Elizabeth Thomas, Charalambos Papaxanthis, Pauline Hilt, Patrick Manckoundia, France Mourey, Jeremie Gaveau<p>As the global population ages, it is crucial to understand sensorimotor compensation mechanisms. These mechanisms are thought to enable older adults to remain in good physical health, but despite important research efforts, they remain essentia...Biomechanics, Sensorimotor ControlMatthieu Boisgontier2024-02-19 10:41:33 View
05 Jul 2024
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On the specifics of valuing effort: a developmental and a formalized perspective on preferences for mental and physical effort

Is effort evaluation domain-specific or general?

Recommended by ORCID_LOGO based on reviews by James Steele, Ines Pfeffer and 1 anonymous reviewer

The law of least effort suggests that, certis paribus, people tend to exert as little effort as possible when engaged in a goal-directed task (Cheval & Boisgontier, 2021). At the same time, however, large interindividual differences in the processing of effort have been observed, suggesting that effort per se can sometimes be valued positively (Inzlicht et al., 2018).  However, until the present study by Wolff et al. (2024), all previous studies had largely ignored whether these individual differences in the valuation of effort might depend on the context (mental versus physical), i.e., in layman's terms, we do not know whether people value any effort or whether these preferences are specific to the mental and/or physical domain. The aim of the present study (Wolff et al., 2024) was to answer this question on the basis of two independent studies.

Study 1 (N = 39) used a binary decision task to measure preferences for allocating mental versus physical effort and showed that people differ markedly in their preferred allocation of effort. Crucially, a disposition to value mental effort (as assessed by the Need for Cognition Scale) was associated with a higher preference for mental effort, whereas a disposition to value physical effort (as assessed by the recently developed Value of Physical Effort Scale) was associated with a preference for physical effort.

Study 2 (N = 300 students) confirmed the robustness of the findings and showed that the tendency to value mental effort was associated with better grades in math (but showed no evidence of such an association in sport), whereas the tendency to value physical effort was associated with better grades in sport (but showed no evidence of such an association in math). Furthermore, the study extended these findings by showing that valuing physical effort was associated with less boredom in sports, whereas valuing mental effort was associated with less boredom in math.

In summary, the results of this research provide the first evidence suggesting that the valuation of effort is domain-specific rather than general. This finding paves the way for future research aimed at improving our understanding of the valuation of physical or mental effort. This article makes an important contribution to the knowledge of the key issues surrounding whether effort valuation is domain-specific or general.

Since all reviewers have indicated that they are satisfied with the authors' revision, which accurately and comprehensively addresses the reviewers' and my comments, it is my pleasure to recommend this preprint.

 
References

Cheval B, Boisgontier MP. The theory of effort minimization in physical activity. Exerc Sport Sci Rev. 2021;49(3):168-178. https://doi.org/10.1249/JES.0000000000000252

Inzlicht M, Shenhav A, Olivola CY. The effort paradox: effort is both costly and valued. Trends Cogn Sci. 2018;22(4):337-349. https://doi.org/10.1016/j.tics.2018.01.007

Wolff W, Stähler J, Schüler J, Bieleke M. On the specifics of valuing effort: a developmental and a formalized perspective on preferences for mental and physical effort. PsyArXiv, version 3. Peer-reviewed and recommended by Peer Community in Health and Movement Sciences. 
https://doi.org/10.31234/osf.io/ycvxw
On the specifics of valuing effort: a developmental and a formalized perspective on preferences for mental and physical effortWanja Wolff, Johanna Stähler, Julia Schüler, Maik Bieleke<p>Effort is instrumental for goal pursuit. But its exertion is aversive and people tend to invest as little effort as possible. Contrary to this principle of least effort, research shows that effort is sometimes treated as if it was valuable in i...Exercise & Sports Psychology, Physical EducationBoris Cheval2023-09-06 09:05:07 View
15 Jun 2024
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Kinesiophobia and physical activity: A systematic review and meta-analysis

Evidence of the Association between Kinesiophobia and Physical Inactivity

Recommended by ORCID_LOGO based on reviews by Paquito Bernard and 1 anonymous reviewer

This article (Goubran et al., 2024) presents a comprehensive systematic review and meta-analysis examining the relationship between kinesiophobia and physical activity. The inclusion of multiple health conditions and diverse measures of physical activity and kinesiophobia provides a broad perspective on the issue. 

Kinesiophobia (i.e., an excessive, irrational, and debilitating fear of movement) is thought to contribute to negative affective associations towards physical activity and avoidance behaviors, leading to decreased engagement in physical activity. Thus, the relationship between kinesiophobia and physical activity merits further investigation, particularly in health conditions where physical activity has a preventative and/or therapeutic role. 

The results of this meta-analysis (k = 83, n = 12,278) indicate a small-to-moderate negative correlation between kinesiophobia and physical activity (r = −0.19; 95% CI: −0.26 to −0.13; I2 = 85.5%; p < 0.0001.) Substantial heterogeneity and publication bias were noted, but p-curve analysis suggested true effects. Notably, this finding was consistent across studies using both self-report and objective device-based measures, and there was no evidence of a moderating effect of different measurement instruments or physical activity outcomes. 

Subgroup analyses revealed that the negative association between kinesiophobia and physical activity is significant in patients with cardiac, rheumatologic, neurologic, or pulmonary conditions but not in those with chronic or acute pain. This latter finding underscores the need to distinguish kinesiophobia from pain. Understanding that the fear of pain, injury, or aggravating an underlying condition, rather than actual pain, is associated with physical inactivity is important to consider when developing interventions to promote physical activity. Tailored interventions that address kinesiophobia specific to different health conditions could enhance physical activity levels and improve health outcomes. Further research is needed to explore the mechanisms underlying kinesiophobia and evaluate the efficacy of targeted interventions to mitigate its impact. 

This article makes an important contribution to our understanding of the relationship between kinesiophobia and physical activity. It provides evidence that fear of movement can be a barrier to physical activity in certain health conditions and highlights the need for condition-specific approaches to address this issue. This work is highly relevant for clinicians, researchers, and public health policymakers aiming to improve physical activity levels and overall health outcomes in a variety of populations.

 

References

Goubran, M., Farajzadeh, A., Lahart, I.M., Bilodeau, M. & Boisgontier, M.P. (2024). Physical activity and kinesiophobia: A systematic review and meta-analysis. MedRxiv, version. 3 peer-reviewed and recommended by Peer Community in Health and Movement Science. https://doi.org/10.1101/2023.08.17.23294240

Kinesiophobia and physical activity: A systematic review and meta-analysisGoubran M, Farajzadeh A, Lahart IM, Bilodeau M, Boisgontier MP<p><strong>Objective. </strong>Physical activity contributes to the primary, secondary, and tertiary prevention of multiple diseases. However, in some patients, an excessive, irrational, and debilitating fear of movement (i.e., kinesiophobia) is t...Exercise & Sports Psychology, Health & Disease, Physical Activity, RehabilitationJasmin Hutchinson Paquito Bernard2023-08-21 07:07:46 View
06 Mar 2024
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Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention

Does aging affect implicit motor adaptation?

Recommended by based on reviews by Kevin Trewartha and Marit Ruitenberg
Motor adaptation to environmental perturbations (such as visuomotor rotations and force fields) is thought to be achieved through the interaction of  implicit and explicit processes [1]. However, the extent to which these processes are affected by aging is unclear, partly because of differences in experimental protocols. In this paper, Hermans et al. [2] address the question of whether the implicit component of learning is affected in older adults. 
 
Using a force-field adaptation paradigm, the authors examine implicit adaptation and spontaneous recovery in healthy young and older adults. Overall, the authors found that both total adaptation and implicit adaptation was not affected in older adults. They also found evidence that spontaneous recovery was associated with implicit adaptation, but was not affected in older adults. 
 
These results are noteworthy because they challenge some prior work in the field [3], but are also consistent with results from other experimental paradigms [4]. A main strength of the current paper is the rigor applied to testing this question. The authors provide robust, converging evidence from multiple analyses and statistical methods, and control for confounds both statistically and experimentally.
 
Readers might want to note that this is a ‘conceptual’ replication of the previous study [3], and there are some potentially important differences in experimental details, which are clearly outlined. The sensitivity of the findings to such experimental parameters needs further testing. More broadly, these results highlight the need for greater understanding of how age differences observed in other motor learning tasks [5] are reflective of deficits in learning mechanisms.
 
References
1.     Taylor, J. A., & Ivry, R. B. (2011). Flexible cognitive strategies during motor learning. PLoS computational biology, 7(3), e1001096. https://doi.org/10.1371/journal.pcbi.1001096
2.     Hermans, P., Vandevoorde, K., & Orban de Xivry, J. J. (2024). Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retention. bioRxiv, ver.2, peer-reviewed and recommended by PCI Health & Movement Sciences. https://doi.org/10.1101/2023.08.30.555501
3.     Trewartha, K. M., Garcia, A., Wolpert, D. M., & Flanagan, J. R. (2014). Fast but fleeting: adaptive motor learning processes associated with aging and cognitive decline. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(40), 13411–13421. https://doi.org/10.1523/JNEUROSCI.1489-14.2014
4.     Vandevoorde, K., & Orban de Xivry, J. J. (2019). Internal model recalibration does not deteriorate with age while motor adaptation does. Neurobiology of aging, 80, 138–153. https://doi.org/10.1016/j.neurobiolaging.2019.03.020
5.     Voelcker-Rehage, C. (2008). Motor-skill learning in older adults—a review of studies on age-related differences. European review of aging and physical activity 5, 5–16. https://doi.org/10.1007/s11556-008-0030-9
 
Not fleeting but lasting: Limited influence of aging on implicit adaptative motor learning and its short-term retentionPauline Hermans, Koen Vandevoorde, Jean-Jacques Orban de Xivry<p>In motor adaptation, learning is thought to rely on a combination of several processes. Two of these are implicit learning (incidental updating of the sensory prediction error) and explicit learning (intentional adjustment to reduce target erro...Sensorimotor ControlRajiv Ranganathan Marit Ruitenberg, Kevin Trewartha2023-09-02 13:23:44 View
18 Feb 2024
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Interlimb coordination in Parkinson’s Disease is minimally affected by a visuospatial dual task

A recommendation of ‘Interlimb coordination in Parkinson’s Disease is minimally affected by a visuospatial dual task’

Recommended by ORCID_LOGO based on reviews by Nicholas D'Cruz and 1 anonymous reviewer

Effective gait fundamentally requires spatial and temporal coordination of upper and lower limbs. Individuals with Parkinson’s disease (PD) often exhibit impaired coordination, leading to adverse events such as freezing of gait and falls (Plotnik et al. 2008). Despite their significance, the current literature lacks depth in our understanding of this characteristic, especially their adaptation to changing task demands and symptom laterality. Exploring these relationships may provide new insights into PD gait and facilitate the evaluation of potential treatments. With these objectives in mind, the present study conducted by Hill & Nantel (2024) includes 17 participants with mild to moderate PD and focuses on coordination within and between the more and less affected sides during both single and dual gait tasks. In the study, spatial coordination, assessed by range of motion, range of motion variability, and peak flexion for the shoulder and hip joints, was examined alongside temporal coordination, which was evaluated using the phase coordination index and variability of continuous relative phase.

Their analysis reveals that, due to dual tasking, only the shoulder range of motion and peak flexion decreased within the least affected side, adding to the existing knowledge on arm swing impairments in early-stage PD (Navarro-López et al. 2022). However, no significant difference was observed between the more and less affected sides. Hip range of motion showed dual task-related differences between sides, while lower intralimb phase variability did not. The primary strength of the article lies in its attempt to systematically explore these differences in PD. As the authors pointed out, to interpret the clinical significance of these differences as well as the null findings on temporal coordination, it may be necessary to include a healthy control group or other comparison groups, such as individuals with severe PD. When interpreting these results, readers may also pay attention to the methodological choices, such as the patient-reported most affected side and the choice of dual task. Overall, the study will be of interest to researchers studying intra- and inter-limb coordination during gait in PD.   

References

Plotnik, M., & Hausdorff, J. M. (2008). The role of gait rhythmicity and bilateral coordination of stepping in the pathophysiology of freezing of gait in Parkinson's disease. Movement disorders: official journal of the Movement Disorder Society, 23(S2), S444-S450. https://doi.org/10.1002/mds.21984 

Hill, A., & Nantel, J. (2024). Interlimb coordination in Parkinson’s Disease is minimally affected by a visuospatial dual task. bioRxiv, ver. 3 peer-reviewed and recommended by Peer Community in Health and Movement Science. https://doi.org/10.1101/2022.07.15.500215 

Navarro-Lopez, V., Fernandez-Vazquez, D., Molina-Rueda, F., Cuesta-Gomez, A., Garcia-Prados, P., del-Valle-Gratacos, M., & Carratala-Tejada, M. (2022). Arm-swing kinematics in Parkinson's disease: a systematic review and meta-analysis. Gait & Posture, 98, 85-95. https://doi.org/10.1016/j.gaitpost.2022.08.017 

Interlimb coordination in Parkinson’s Disease is minimally affected by a visuospatial dual taskAllen Hill, Julie Nantel<p style="text-align: justify;">Parkinson’s disease (PD) leads to reduced spatial and temporal interlimb coordination during gait as well as reduced coordination in the upper or lower limbs. Multi-tasking when walking is common during real-world a...Biomechanics, Health & Disease, Sensorimotor ControlDeepak Ravi2023-10-13 21:54:15 View
24 Aug 2023
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Comparing habit-behaviour relationships for organised versus leisure time physical activity

Habit-behaviour relationships in organised and leisure-time physical activity

Recommended by based on reviews by 2 anonymous reviewers

Despite public health campaigns, achieving recommended physical activity levels remains challenging. Investigating the factors influencing physical activity is essential for effective promotion. Habit strength is known to correlate with physical activity (Hagger, 2019), making habit formation a key intervention target. Newman et al. (2023) expand current knowledge on physical activity and habit strength. They investigate if habit strength and its association with behavior differ between organized and leisure-time physical activities. Given the broad definition of physical activity and individual differences in preferences, studying habit's influence on varied activities is crucial. The cross-sectional survey, spanning the UK, USA, Australia, and Switzerland, involves 120 young adults (mean age = 25) engaged in organized sports. Although self-report measures are used, excluding commuting and occupational activity, the study yields intriguing results: Authors find significant habit strength differences between organized sports and leisure-time activities, indicating potential distinctions in habit formation drivers. Investigating factors establishing habits in organized sports could inform broader interventions. Remarkably, the impact of habits on behavior is consistent across both activity types, suggesting a universal role of habits. Further analysis reveals stronger habit strength in team sports versus individual ones, with no behavior association difference. Diverse habit strength in organized versus leisure-time activities underscores the need for focused research. Understanding unique aspects of team sports that promote habituation can reshape interventions, aligning leisure activities with organized sports' characteristics.

References

Hagger, M. S. (2019). Habit and physical activity: Theoretical advances, practical implications, and agenda for future research. Psychology of Sport and Exercise, 42, 118–129. https://doi.org/10.1016/j.psychsport.2018.12.007

Newman, K., Forestier, C., Cheval, B., Zenko, Z., De Chanaleilles, M., Gardner, B., & Rebar, A. L. (2023). Comparing habit-behaviour relationships for organised versus leisure time physical activity. OSF Preprints, 1–11, version 4, peer-reviewed and recommended by Peer Community in Health & Movement Sciences. https://doi.org/10.31219/osf.io/x5e9d

 

Comparing habit-behaviour relationships for organised versus leisure time physical activityKaterina Newman, Cyril Forestier, Boris Cheval, Zackary Zenko, Margaux de Chanaleilles, Benjamin Gardner, Amanda L. Rebar<p>Evidence shows that people with strong physical activity habits tend to engage in more physical activity than those with weaker habits, but little is known about how habit influences specific types of physical activity. This study aimed to test...Health & Disease, Physical ActivityEleftheria Giannouli2023-03-01 08:59:18 View