scholarly journals Perceived Exertion in Physical Activity Measurement Across the Lifecourse: Results from SWAN

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 902-903
Author(s):  
Kelly Ylitalo ◽  
Carrie Karvonen-Gutierrez ◽  
Barbara Sternfeld ◽  
Kelley Pettee Gabriel
Keyword(s):  
Physical Activity ◽  
High Intensity ◽  
Perceived Exertion ◽  
Absolute Intensity ◽  
Individual Characteristics ◽  
High Intensity Exercise ◽  
Moderate Intensity ◽  
Adult Women ◽  
Low Intensity ◽  
Perceived Intensity

Abstract Physical activity (PA) guidelines recommend 150 minutes of moderate-intensity or 75 minutes of vigorous-intensity PA, in addition to muscle strengthening activities, each week. Many questionnaires ascertain PA frequency, duration, and intensity to benchmark achievement of PA recommendations. However, most scoring algorithms utilize absolute intensity estimates when exertion may be influenced by age or other sociodemographic or health characteristics. This study compared PA estimates with and without adjustments for perceived exertion and determined if that difference was associated with individual characteristics. Women (n=2,711) from the longitudinal Study of Women’s Health Across the Nation who completed ≥3 Kaiser Physical Activity Surveys (KPAS) across 8 biennial visits were included (baseline age: 46.4±2.7 years). KPAS responses were converted to metabolic equivalent of a task (METs) using the Compendium of Physical Activities to estimate absolute and perceived intensity-adjusted MET values. Latent class growth modeling identified subgroups of participants following similar patterns of change in the difference between absolute intensity-based and perceived intensity-adjusted estimates across time. Four major trajectory classes emerged with patterns reflecting: (1) lessening high-intensity exercise (2.2%); (2) increasingly high-intensity exercise (3.1%); (3) consistently moderate-intensity exercise (92.0%); and (4) consistently low-intensity exercise (2.8%). Consistently low-intensity exercisers, for whom absolute intensity-based estimates exceeded perceived intensity-adjusted estimates, were more likely to be Japanese or Chinese (p<0.001) and have lower BMI (p=0.05). However, for most participants, absolute intensity-based estimates approximated perceived intensity-adjusted estimates over time, suggesting that traditional PA scoring techniques may provide sufficient estimates for PA in longitudinal cohort studies of mid-life and older adult women.

Roles of intensity and duration of nocturnal exercise in causing phase delays of human circadian rhythms.

1997 ◽  
Vol 273 (3) ◽  
pp. E536 ◽  
Author(s):  
O M Buxton ◽  
S A Frank ◽  
M L'Hermite-Balériaux ◽  
R Leproult ◽  
F W Turek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Circadian Rhythms ◽  
High Intensity ◽  
Real Life ◽  
Phase Shifts ◽  
High Intensity Exercise ◽  
Moderate Intensity ◽  
Low Intensity ◽  
Human Circadian Rhythms ◽  
Low Intensity Exercise

To determine the roles of intensity and duration of nocturnal physical activity in causing rapid phase shifts of human circadian rhythms, eight healthy men were studied three times under constant conditions with no exercise, a 3-h bout of moderate-intensity exercise, or a 1-h bout of high-intensity exercise. Exercise stimulus was centered at 0100. Circadian phase was estimated from the onsets of the nocturnal elevation of plasma thyrotropin (TSH) and melatonin. Mean phase shifts of TSH onsets were -18 +/- 8 (baseline), -78 +/- 10 (low-intensity exercise, P < 0.01), and -95 +/- 19 min (high-intensity exercise, P < 0.01). Mean phase delays of melatonin onsets were -23 +/- 10 (baseline), -63 +/- 8 (low-intensity exercise, P < 0.04), and -55 +/- 15 min (high-intensity exercise, P < 0.12). Taken together with our previous findings, this study indicates that nocturnal physical activity may phase delay human circadian rhythms and demonstrates that phase-shifting effects may be determined with exercise durations and intensities compatible with the demands of a real-life setting.

scholarly journals It’s about Time: Effects of Physical Exertion on Duration Estimates

2019 ◽  
Vol 4 (1) ◽  
pp. 6
Author(s):  
Britton W. Brewer ◽  
Lawrence O. Schwartz ◽  
Allen E. Cornelius ◽  
Judy L. Van Raalte ◽  
Edmundo L. Urbina ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Intensity ◽  
Perceived Exertion ◽  
Physical Exertion ◽  
Fundamental Aspect ◽  
Time Effects ◽  
Task Duration ◽  
Low Intensity ◽  
D Values ◽  
And Task

Background: Task duration is a fundamental aspect of exercise, but little is known about how completed bouts of physical activity are perceived. Consequently, the purpose of the five experiments conducted for this investigation was to examine the effects of engaging in physical tasks on retrospective duration estimates with college student participants. Methods: Across the five experiments, participants were 113 college students (82 women, 31 men). In Experiments 1 and 2, participants provided duration estimates of a period spent engaging in physical activity or rest. In Experiments 3, 4, and 5, participants provided duration estimates of periods spent engaged in physical tasks of high intensity and low intensity. Results: In Experiments 1, 2, and 3, participants engaged in physical activity tended to perceive durations as shorter than participants at rest. When completing less familiar tasks (Experiments 4 and 5), however, participants recalled a high intensity bout of physical activity as lasting longer than a low intensity bout of physical activity of comparable duration. Cohen’s d values for physical activity effects on duration estimates ranged from 0.40 to 1.60. Conclusion: The findings, which partially support a contextual-change interpretation, suggest that factors, such as perceived exertion and task familiarity, affect retrospective duration estimates.

Effects of Bout Duration on Players’ Internal and External Loads During Small-Sided Games in Young Soccer Players

2017 ◽  
Vol 12 (10) ◽  
pp. 1370-1377 ◽  
Author(s):  
Yusuf Köklü ◽  
Utku Alemdaroğlu ◽  
Hamit Cihan ◽  
Del P. Wong
Keyword(s):  
Heart Rate ◽  
High Intensity ◽  
Perceived Exertion ◽  
Young Male ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Moderate Intensity ◽  
Low Intensity ◽  
Playing Time ◽  
External Loads

Purpose: To investigate the effects of different bout durations on internal and external loads of young soccer players during different small-sided games (SSGs). Methods: Fifteen young male soccer players (average age 17 ± 1 y) participated in 2 vs 2, 3 vs 3, and 4 vs 4 SSGs. All games lasted 12 min playing time in total, but each SSG format further consisted of 4 bout durations: continuous (CON: 1 bout × 12 min) or interval with short (SBD: 6 bouts  × 2 min), medium (MBD: 3 bouts × 4 min), or long (LBD: 2 bouts × 6 min) bout durations. During the SSGs, heart-rate (HR) responses and distance covered in different speed zones (walking and low-intensity, moderate-intensity, and high-intensity running) were measured. Rating of perceived exertion (RPE) and blood lactate (La−) were determined at the end of each SSG. Results: The SBD format elicited significantly lower %HRmax responses compared to LBD and CON in all formats (P < .05). The SBD format also showed significantly shorter distances covered in walking and greater distances covered in moderate-intensity running, as well as significantly greater total distance covered compared to LBD and CON in all formats (P < .05). In addition, LBD produced significantly lower La− and RPE responses than SBD and CON in all formats (P < .05). Conclusions: These results suggest that coaches and sport scientists who want to achieve higher internal loads could use SBD and CON timing protocols, while those who want to achieve higher external loads might prefer to use SBD and MBD when planning all SSG formats.

scholarly journals The Quantification of Within-Week Session Intensity, Duration, and Intensity Distribution Across a Season in Australian Football Using the Session Rating of Perceived Exertion Method

2018 ◽  
Vol 13 (7) ◽  
pp. 940-946 ◽  
Author(s):  
Farhan Juhari ◽  
Dean Ritchie ◽  
Fergus O’Connor ◽  
Nathan Pitchford ◽  
Matthew Weston ◽  
...  
Keyword(s):  
Intensity Distribution ◽  
Mixed Models ◽  
High Intensity ◽  
Perceived Exertion ◽  
Linear Mixed Models ◽  
Training Session ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Low Intensity ◽  
Australian Football

Context: Team-sport training requires the daily manipulation of intensity, duration, and frequency, with preseason training focusing on meeting the demands of in-season competition and training on maintaining fitness. Purpose: To provide information about daily training in Australian football (AF), this study aimed to quantify session intensity, duration, and intensity distribution across different stages of an entire season. Methods: Intensity (session ratings of perceived exertion; CR-10 scale) and duration were collected from 45 professional male AF players for every training session and game. Each session’s rating of perceived exertion was categorized into a corresponding intensity zone, low (<4.0 arbitrary units), moderate (≥4.0 and <7.0), and high (≥7.0), to categorize session intensity. Linear mixed models were constructed to estimate session duration, intensity, and distribution between the 3 preseason and 4 in-season periods. Effects were assessed using linear mixed models and magnitude-based inferences. Results: The distribution of the mean session intensity across the season was 29% low intensity, 57% moderate intensity, and 14% high intensity. While 96% of games were high intensity, 44% and 49% of skills training sessions were low intensity and moderate intensity, respectively. Running had the highest proportion of high-intensity training sessions (27%). Preseason displayed higher training-session intensity (effect size [ES] = 0.29–0.91) and duration (ES = 0.33–1.44), while in-season game intensity (ES = 0.31–0.51) and duration (ES = 0.51–0.82) were higher. Conclusions: By using a cost-effective monitoring tool, this study provides information about the intensity, duration, and intensity distribution of all training types across different phases of a season, thus allowing a greater understanding of the training and competition demands of Australian footballers.

scholarly journals Exercise Intensities as Factors of Metabolic Outcomes in Type 2 Diabetes: A Systematic Review

2018 ◽  
Vol 31 (3) ◽  
pp. 193-203
Author(s):  
Elizabeth Moxley ◽  
Tory Bugaieski
Keyword(s):  
Type 2 Diabetes ◽  
High Intensity ◽  
Fasting Glucose ◽  
High Intensity Exercise ◽  
Systemic Review ◽  
Moderate Intensity ◽  
Low Intensity ◽  
Metabolic Outcomes ◽  
Low Intensity Exercise

Exercise is effective to prevent and treat type 2 diabetes, although currently underutilized. This review analyzes the metabolic response to exercise performance at various intensities in individuals with type 2 diabetes. These findings provide insight into the development of safe and efficacious exercise prescriptions and education. We conducted a systemic review of the literature to examine the association of various exercise protocols with metabolic outcomes in type 2 diabetes. Between 1984 and 2018, 29 studies were categorized per exercise mode and intensity levels according to the American College of Sports Medicine standards. The most consistent improvement was found in HbA1c following moderate- to high-intensity exercise—post-exercise fasting glucose improved to a lesser extent. Low-intensity exercise improved HOMA-IR (homeostasis model assessment for insulin resistance) levels. Glucose and HbA1c improved most following interval compared with continuous exercise, irrespective of intensity. A comparison of high-intensity exercise with moderate-intensity exercise demonstrated few differences in HbA1c, fasting glucose, fasting insulin, and HOMA-IR. Irrespective of exercise intensity, HbA1c improvements were observed, suggesting a delayed progression to diabetes-related complications. Initial low-intensity exercise, with increased quantities when feasible, will contribute to metabolic improvements. The variability in methodology and measurement contributed to inconsistent outcomes; additional research with larger samples sizes is warranted.

scholarly journals Adherence to and satisfaction with low-intensity physical activity and supervised moderate-high intensity exercise during chemotherapy for breast cancer

2019 ◽  
Vol 28 (5) ◽  
pp. 2115-2126 ◽  
Author(s):  
Hanna van Waart ◽  
Laurien M. Buffart ◽  
Martijn M. Stuiver ◽  
Wim H. van Harten ◽  
Gabe S. Sonke ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
High Intensity ◽  
High Intensity Exercise ◽  
Low Intensity ◽  
Intensity Physical Activity

P3598Cardiac Cycle - The effect of exercise on cardiac troponin release

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Marshall ◽  
K Lee ◽  
F E Strachan ◽  
T Fujisawa ◽  
S Stewart ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Physical Exercise ◽  
High Intensity ◽  
Cardiac Troponin ◽  
High Sensitivity ◽  
High Intensity Exercise ◽  
Moderate Intensity ◽  
Study Visit ◽  
Coronary Syndrome ◽  
Low Intensity

Abstract Introduction International guidelines recommend the use of low concentrations of high-sensitivity cardiac troponin to risk stratify patients with suspected acute coronary syndrome, however, troponin concentration may also rise due to physical exercise. Interpreting cardiac troponin concentration in this context is challenging because the magnitude and duration of troponin elevation following physical exercise is uncertain. Purpose To determine the effect of intensity and duration of physical exercise on cardiac troponin concentration. Methods We invited 10 physically active healthy volunteers (7 male and 3 female; mean age: 34±7) to attend 3 study visits, during which they underwent exercise on a stationary bicycle at prespecified intensities and durations. The first visit involved low intensity cycling (50–60% of the participant's lactate threshold [LT]) for 60 minutes. During the second visit, participants cycled at high intensity (80–90% LT) for 60 minutes and during the third study visit, participants cycled at moderate intensity (60–70% LT) for 4 hours. High-sensitivity cardiac troponin I (hs-cTnI) concentration was measured at the start of exercise and every hour up to 6 hours during each study visit and subsequently at 1, 2 and 7 days after each exercise visit. Results Study participants had a median hs-cTnI concentration of 1.8 ng/L (interquartile range [IQR] 0.8–5.7 ng/L) at baseline. Cardiac troponin concentration was elevated following moderate- and high-intensity exercise (P=0.006 and P<0.001, respectively) but not following low-intensity exercise (P=0.137). Troponin concentrations were significantly higher following the shorter duration of high-intensity exercise (peak hs-cTnI concentration = 13 ng/L [IQR 6.5–27.1 ng/L]) compared to the longer duration moderate-intensity exercise (peak hs-cTnI concentration = 6.9 ng/L [2.9–7.9 ng/L]; P-value <0.001). Following both moderate- and high-intensity exercise, cardiac troponin concentration returned to baseline within 48 hours (Figure 1). Troponin concentrations ng/L / time Conclusions Our study suggests that elevation in cardiac troponin concentration is associated with the intensity rather than duration of physical exercise, and that exercise-induced troponin elevations resolve within 48 hours. These findings have important implications for the interpretation of cardiac troponin in the risk stratification and diagnosis of patients who present with symptoms suggestive of acute coronary syndrome following physical exercise. Acknowledgement/Funding British Heart Foundation

scholarly journals Physiological Acute Response to High-Intensity Intermittent and Moderate-Intensity Continuous 5 km Running Performance: Implications for Training Prescription

2017 ◽  
Vol 56 (1) ◽  
pp. 127-137 ◽  
Author(s):  
Carolina Cabral-Santos ◽  
José Gerosa-Neto ◽  
Daniela S. Inoue ◽  
Fabrício E. Rossi ◽  
Jason M. Cholewa ◽  
...  
Keyword(s):  
Heart Rate ◽  
Oxygen Consumption ◽  
Oxygen Uptake ◽  
High Intensity ◽  
Perceived Exertion ◽  
Total Duration ◽  
High Intensity Exercise ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Post Exercise

AbstractThe aim of this study was to investigate the physiological responses to moderate-intensity continuous and high-intensity intermittent exercise. Twelve physically active male subjects were recruited and completed a 5-km run on a treadmill in two experimental sessions in randomized order: continuously (70% sVO2max) and intermittently (1:1 min at sVO2max). Oxygen uptake, excess post-exercise oxygen consumption, lactate concentration, heart rate and rating of perceived exertion data were recorded during and after each session. The lactate levels exhibited higher values immediately post-exercise than at rest (High-Intensity: 1.43 ± 0.25 to 7.36 ± 2.78; Moderate-Intensity: 1.64 ± 1.01 to 4.05 ± 1.52 mmol⋅L−1, p = 0.0004), but High-Intensity promoted higher values (p = 0.001) than Moderate-Intensity. There was a difference across time on oxygen uptake at all moments tested in both groups (High-Intensity: 100.19 ± 8.15L; Moderate-Intensity: 88.35 ± 11.46, p < 0.001). Both exercise conditions promoted increases in excess postexercise oxygen consumption (High-Intensity: 6.61 ± 1.85 L; Moderate-Intensity: 5.32 ± 2.39 L, p < 0.005), but higher values were observed in the High-Intensity exercise protocol. High-Intensity was more effective at modifying the heart rate and rating of perceived exertion (High-Intensity: 183 ± 12.54 and 19; Moderate-Intensity: 172 ± 8.5 and 16, respectively, p < 0.05). In conclusion, over the same distance, Moderate-Intensity and High-Intensity exercise exhibited different lactate concentrations, heart rate and rating of perceived exertion. As expected, the metabolic contribution also differed, and High-Intensity induced higher energy expenditure, however, the total duration of the session may have to be taken into account. Moreover, when following moderate-intensity training, the percentage of sVO2max and the anaerobic threshold might influence exercise and training responses.

Combined Effect of Number of Players and Dribbling on Game-Based-Drill Demands in Basketball

2020 ◽  
Vol 15 (6) ◽  
pp. 825-832 ◽  
Author(s):  
Davide Ferioli ◽  
Diego Rucco ◽  
Ermanno Rampinini ◽  
Antonio La Torre ◽  
Marco M. Manfredi ◽  
...  
Keyword(s):  
High Intensity ◽  
Repeated Measures ◽  
Perceived Exertion ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Perceptual Response ◽  
Basketball Players ◽  
Low Intensity ◽  
Time Motion ◽  
Analysis Technique

Purpose: To examine the physiological, physical, and technical demands of game-based drills (GBDs) with regular dribble (RD) or no dribble (ND) involving a different number of players (3 vs 3, 4 vs 4, and 5 vs 5). Methods: Ten regional-level male basketball players performed 6 full-court GBD formats (each consisting of 3 bouts of 4 min and 2 min rest) on multiple occasions. The physiological and perceptual responses were measured through heart rate and rating of perceived exertion. Video-based time–motion analysis was performed to assess the GBD physical demands. The frequencies of occurrence and the duration were calculated for high-intensity, moderate-intensity, low-intensity, and recovery activities. Technical demands were assessed with a notional-analysis technique. A 2-way repeated-measures analysis of variance was used to assess statistical differences between GBD formats. Results: A greater perceptual response (rating of perceived exertion) was recorded during 3 versus 3 than 5 versus 5 formats (P = .005). Significant interactions were observed for the number of recovery (P = .021), low-intensity activity (P = .007), and all movements (P = .001) completed. Greater time was spent performing low-intensity and high-intensity activities during RD than ND format. Greater technical demands were observed for several variables during 3 versus 3 than 4 versus 4 or 5 versus 5. A greater number of turnovers (P = .027), total (P ≤ .001), and correct passes (P ≤ .001) were recorded during ND than RD format. Conclusions: The number of players predominantly affected the perceptual response to GBD, while both the number of players and rule modification (RD vs ND) affected activities performed during GBD. Reducing the number of players increases the GBD technical elements, while ND format promotes a greater number of turnovers and passes.

Glucose kinetics during high-intensity exercise in endurance-trained and untrained humans

1995 ◽  
Vol 78 (3) ◽  
pp. 1203-1207 ◽  
Author(s):  
A. R. Coggan ◽  
C. A. Raguso ◽  
B. D. Williams ◽  
L. S. Sidossis ◽  
A. Gastaldelli
Keyword(s):  
Plasma Glucose ◽  
High Intensity ◽  
Glucose Utilization ◽  
Glucose Production ◽  
Absolute Intensity ◽  
High Intensity Exercise ◽  
Moderate Intensity ◽  
Moderate Intensity Exercise ◽  
Trained Subjects ◽  
Average Glucose

In humans, endurance training reduces the rates of glucose production and utilization during moderate-intensity exercise. It is uncertain, however, whether this is also true during high-intensity exercise. Accordingly, we studied eight endurance-trained cyclists and eight untrained subjects during 30 min of cycling at approximately 80% of maximal oxygen uptake (VO2max). Rates of glucose appearance (Ra) and disappearance (Rd) were determined using a primed, continuous infusion of [6,6–2H]glucose. Average glucose Ra during exercise did not differ in the trained and untrained subjects (34.3 +/- 3.6 vs. 36.0 +/- 1.7 mumol.min-1.kg-1; mean +/- SE; P, not significant). Plasma insulin, glucagon, norepinephrine, and epinephrine concentrations were also similar in the two groups. In contrast, glucose Rd during exercise was 19% lower in the trained compared with the untrained subjects (27.0 +/- 2.6 vs. 33.2 +/- 1.5 mumol.min-1.kg-1; P < 0.001). Consequently, during exercise, plasma glucose concentration rose significantly (P < 0.05) in the trained subjects but did not change in the untrained subjects. We conclude that utilization of plasma glucose is lower in trained subjects during high-intensity exercise, even when the exercise is performed at the same relative (and therefore a higher absolute) intensity as in the untrained state. Hyperglycemia in trained subjects during intense exercise appears to be due to this lower rate of glucose utilization rather than a higher rate of glucose production.

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