In articles on the methodology of studies investigating affective and enjoyment responses to high-intensity interval training, we noted that, occasionally, exercise conditions described as involving “high” intensity exhibited heart rates that were only as high as, or even lower than, heart rates recorded during comparator conditions described as being of “moderate” intensity. Drs. Vollaard, Metcalfe, Kinghorn, Jung, and Little suggest instead that exercise intensity in high-intensity interval-training studies can be defined in terms of percentages of peak workload. Although we maintain that defining exercise intensity in terms of percentages of maximal heart rate is a suboptimal way to quantify the degree of homeostatic perturbations in response to exercise, we are unconvinced that definitions of intensity relying solely on workload are appropriate for studies investigating affective and enjoyment responses to exercise. The reason is that affect is theorized to have evolved to relay information about homeostatic perturbations to consciousness.
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When Studying Affective Responses to Exercise, the Definition of “Intensity” Must Reference Homeostatic Perturbations: A Retort to Vollaard et al.
Panteleimon Ekkekakis, Mark E. Hartman, and Matthew A. Ladwig
Perceived Barriers to Physical Activity Among Youth Living in Rural and Urban Canadian Communities: A Nationally Representative Cross-Sectional Study
Taru Manyanga, Nicole White, Larine Sluggett, Annie Duchesne, David Anekwe, and Chelsea Pelletier
Background: We used nationally representative data to explore associations among location of residence (rural/urban) and perceived barriers to physical activity (PA) in Canadian youth. Methods: We analyzed the 2017 Canadian Community Health Survey, Barriers to Physical Activity Rapid Response data for 12- to 17-year-old youth. Nine items from the survey assessing perceived barriers to PA were combined into 3 barrier domains: resources, motivational, and socioenvironmental. The likelihood of reporting barriers to PA based on rural–urban location was examined using survey-weighted binary logistic regression following a model fitting approach. Sociodemographic factors were modeled as covariates and tested in interaction with location. For each barrier domain, we derived the best-fitting model with fewest terms. Results: There were no location-specific effects related to reporting any barrier or motivation-related PA barriers. We found a sex by location interaction predicting the likelihood of reporting resource-related barriers. Rural boys were less likely to report resource-related barriers compared with urban boys (odds ratio [OR] = 0.42 [0.20, 0.88]). Rural girls were more likely to report resource-related barriers compared with boys (OR = 3.72 [1.66, 8.30]). Regarding socioenvironmental barriers, we observed a significant body mass index by location interaction demonstrating that rural youth with body mass index outside the “normal range” showed a higher likelihood of reporting socioenvironmental barriers compared with urban youth (OR = 2.38 [1.32, 4.30]). For urban youth, body mass index was unrelated to reporting socioenvironmental barriers (OR = 1.07 [0.67, 1.71]). Conclusion: PA barriers are not universal among Canadian youth. Our analyses highlight the importance of testing interactions in similar studies as well as considering key sociodemographic characteristics when designing interventions.
Percentage of Peak Workload Is Suitable for Quantification of Exercise Intensity During High-Intensity Intervals: A Comment on Ekkekakis, Hartman, and Ladwig
Niels B.J. Vollaard, Richard S. Metcalfe, Daniel Kinghorn, Mary E. Jung, and Jonathan P. Little
Green Exercise as an Opportunity to Promote Equity in Physical Activity Engagement Across Diverse Populations
Iris Lesser, Cynthia Thomson, and Melissa Lem
Where Are Czech Adolescents Active? The Patterns of Movement and Transport Behavior in Different Active Living Domains
Michal Vorlíček, Tom Stewart, Jan Dygrýn, Lukáš Rubín, Josef Mitáš, Jaroslav Burian, Scott Duncan, Jasper Schipperijn, and Michael Pratt
To understand the environmental determinants of physical activity (PA), precise spatial localization is crucial. This cross-sectional study focuses on the spatiotemporal distribution of PA among Czech adolescents (n = 171) using Global Positioning System loggers and accelerometers. The results showed that adolescents spent most of their time in sedentary behavior, with 57.2% and 58.5% of monitored time at home and school, respectively. The park and playground had the lowest proportion of sedentary behavior but also the lowest amount of moderate to vigorous PA (MVPA). However, when considering the time spent in each domain, the highest proportion of MVPA was seen in publicly accessible playgrounds (13.3% of the time). Chi-square analysis showed that the relative distribution of different PA intensities did not differ across spatial domains. Based on these results, the authors propose 2 key strategies for increasing MVPA in adolescents: Increase the time spent in activity-supportive environments, such as parks and playgrounds, and design techniques to increase MVPA at home and school settings.
A Self-Paced Walk Test for Individual Calibration of Heart Rate to Energy Expenditure
Kate Westgate, Tomas I. Gonzales, Stefanie Hollidge, Tim Lindsay, Nick Wareham, and Søren Brage
Introduction: Estimating free-living physical activity (PA) with continuous heart rate (HR) monitoring is challenging due to individual variation in the relationship between HR and energy expenditure. This variation can be captured through individual calibration with graded exercise tests, but structured tests with prescribed load require medical screening and are not always feasible in population settings. We present and evaluate an individual calibration method using HR response to a less demanding self-paced walk test. Methods: Six hundred and forty-three participants from the Fenland Study (Cambridgeshire, the United Kingdom) completed a 200-m self-paced walk test, a treadmill test, and 1 week of continuous HR and accelerometry monitoring. Mixed-effects regression was used to derive a walk test calibration model from HR response to the walk using treadmill-based parameters as criterion. Free-living PA estimates from the calibration model were compared with treadmill-calibrated and non-exercise-calibrated estimates. Results: Walk calibration captured 57% of the variance in the HR–energy expenditure relationship determined by the treadmill test. Applying walk calibration to data from free-living yielded similar PA estimates to those using treadmill calibration (52.7 vs. 52.0 kJ·kg−1·day−1; mean difference: 0.7 kJ·kg−1·day−1, 95% confidence interval [−0.0, 1.5]) and high correlation (r = .89). Individual differences were observed (root mean square error: 10.0 kJ·kg−1·day−1; 95% limits of agreement: −20.6, 19.1 kJ·kg−1·day−1). Walk calibration improved precision by 29% compared with nonexercise group calibration (root mean square error: 14.0 kJ·kg−1·day−1; 95% limits of agreement: −30.4, 24.5 kJ·kg−1·day−1). Conclusions: A 200-m self-paced walk test captures between-individual variation in the HR–energy expenditure relationship and facilitates estimation of free-living PA in population settings.
Erratum. No or Low Moderate-to-Vigorous Physical Activity: Focusing on the Least Active as an Additional Approach for Physical Activity Surveillance
Journal of Physical Activity and Health
No or Low Moderate-to-Vigorous Physical Activity: Focusing on the Least Active as an Additional Approach for Physical Activity Surveillance
Raphael H.O. Araujo, André O. Werneck, R. Glenn Weaver, Rafael M. Tassitano, Célia L. Szwarcwald, Gilmar M. Jesus, Deborah C. Malta, Javier Brazo-Sayavera, Grégore I. Mielke, Mark S. Tremblay, and Danilo R.P. Silva
Erratum. SKIPping With PAX: Evaluating the Effects of a Dual-Component Intervention on Gross Motor Skill and Social–Emotional Development
Journal of Motor Learning and Development
Promotion of Physical Activity by Québec Primary Care Physicians: What Has Changed in the Last Decade?
Suzanne Laberge, Véronique Gosselin, Kim Lestage, Miguel Chagnon, and Claude Guimond
Objective: This study aimed to assess the changes in the frequency of physical activity (PA) counseling and in the predictors of primary care PA promotion in Québec primary care physicians (PCPs) between 2010 and 2020. Methods: In 2010, we conducted a survey among Québec PCPs. Questions included: frequency of promoting PA to patients, perceived barriers, needs to improve PA promotion practice, frequency of PCPs’ PA practice, and sociodemographic information. In 2020, we took over the 2010 questionnaire to document the evolution of the PA promotion practice. Results: The proportion of PCPs discussing PA with their patients significantly increased (P < .05) in 2020 for the following health conditions: depression, low back pain, chronic obstructive pulmonary disease, and cancer; it declined (P < .05) for overweight patients, those with metabolic syndrome, and in primary prevention. Collaboration with PA professionals was the major need identified, and it increased in 2020. PCPs’ own practice of PA was a predictor of PA promotion in 2010 (odds ratio = 6.679; P < .001) and in 2020 (odds ratio = 6.679; P < .001). In both 2010 and in 2020, older or more experienced PCPs were more likely to discuss PA with their patients without diagnosed diseases than younger ones or those with less experience. Conclusions: Over the last 10 years, there has been a significant increase in PCPs promoting PA in Québec; however, it has been mainly oriented toward secondary prevention. It is concerning that PA counseling in primary prevention has declined, notably among younger PCPs. The stronger claim for closer collaboration with kinesiologists suggests that PCPs are in favor of an interprofessional strategy, namely collaboration with PA specialists.
