Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices

Domingo, Carlos Hernando; Hernando, Carla; Martínez-Navarro, Ignacio; Collado-Boira, Eladio; Panizo, Nayara; Hernando, Bárbara

doi:10.1038/s41598-020-58492-8

Cited by 13 publications

(12 citation statements)

References 49 publications

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“…These parameters explain 70% of the variance of the average running speed sustained during a marathon race [ 6 , 7 ] and are good indicators of the endurance performance of individuals of different ages, genders and disciplines [ 1 ]. A typical VO 2 max value for male top-class marathoners is about 70–85 mL/kg/min, for low-level athletes around 65 mL/kg/min and for recreational runners about 51–58 mL/kg/min [ 14 , 15 , 16 ]. Additionally, oxygen fractional utilization at lactate threshold (LTh) intensity, the point where blood lactate concentrations increase from baseline, is higher for top-class marathoners compared with low-level athletes (65–80% vs. 50–80% of VO 2 max, respectively) and is also higher at the lactate turn-point (LTP), the point where an abrupt increase in blood lactate is observed (85–90% vs. 80–85% of VO 2 max, respectively) [ 6 , 11 , 12 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners

Myrkos

Smilios

Kokkinou

et al. 2020

Sports

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This study examined physiological and race pace characteristics of medium- (finish time < 240 min) and low-level (finish time > 240 min) recreational runners who participated in a challenging marathon route with rolling hills, the Athens Authentic Marathon. Fifteen athletes (age: 42 ± 7 years) performed an incremental test, three to nine days before the 2018 Athens Marathon, to determine maximal oxygen uptake (VO2 max), maximal aerobic velocity (MAV), energy cost of running (ECr) and lactate threshold velocity (vLTh), and were analyzed for their pacing during the race. Moderate- (n = 8) compared with low-level (n = 7) runners had higher (p < 0.05) VO2 max (55.6 ± 3.6 vs. 48.9 ± 4.8 mL·kg−1·min−1), MAV (16.5 ± 0.7 vs. 14.4 ± 1.2 km·h−1) and vLTh (11.6 ± 0.8 vs. 9.2 ± 0.7 km·h−1) and lower ECr at 10 km/h (1.137 ± 0.096 vs. 1.232 ± 0.068 kcal·kg−1·km−1). Medium-level runners ran the marathon at a higher percentage of vLTh (105.1 ± 4.7 vs. 93.8 ± 6.2%) and VO2 max (79.7 ± 7.7 vs. 68.8 ± 5.7%). Low-level runners ran at a lower percentage (p < 0.05) of their vLTh in the 21.1–30 km (total ascent/decent: 122 m/5 m) and the 30–42.195 km (total ascent/decent: 32 m/155 m) splits. Moderate-level runners are less affected in their pacing than low-level runners during a marathon route with rolling hills. This could be due to superior physiological characteristics such as VO2 max, ECr, vLTh and fractional utilization of VO2 max. A marathon race pace strategy should be selected individually according to each athlete’s level.

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Section: Introductionmentioning

confidence: 99%

Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners

Myrkos

Smilios

Kokkinou

et al. 2020

Sports

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“…To further explore sex differences in marathon performance, and taking into account that there is a lack of gold standard for measuring energy consumption in free-living conditions (as a marathon race) [ 40 ], we used accelerometer-based devises for estimating the distribution of physical effort throughout the marathon according to runner’s sex [ 39 ]. Specifically, we estimated the time running at each of the six-relative intensity levels (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous) in each one of the nine race sections and in the entire marathon.…”

Section: Discussionmentioning

confidence: 99%

“…Details of data collection, processing and analysis have been previously described [ 40 ]. Four weeks before the marathon, participants completed a cardiopulmonary test.…”

Section: Methodsmentioning

confidence: 99%

“…The marathon race was divided into nine sections as previously described [ 40 ]. All analyses were performed for each of the nine race sections, as well as for the entire marathon distance.…”

Section: Methodsmentioning

confidence: 99%

“…With the aim of monitoring middle-aged recreational marathoners during a marathon using accelerometry-based devices, our research group has established the GENEActiv ® cut-off points, under lab-based conditions, for discriminating the six relative-intensity activity levels in female and male marathoners [ 39 ]. Once cut-off points were established, we used accelerometer output data for analyzing the running intensity distribution and energy consumption of runners during a marathon race (a free-living condition) [ 40 ]. Interestingly, accelerometer output data can also be used for inferring other useful parameters (i.e., running economy of the runner) in real conditions.…”

Section: Introductionmentioning

confidence: 99%

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Using Accelerometry for Evaluating Energy Consumption and Running Intensity Distribution Throughout a Marathon According to Sex

Domingo

Hernando

Martínez-Navarro

et al. 2020

IJERPH

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The proportion of females participating in long-distance races has been increasing in the last years. Although it is well-known that there are differences in how females and males face a marathon, higher research may be done to fully understand the intrinsic and extrinsic factors affecting sex differences in endurance performance. In this work, we used triaxial accelerometer devices to monitor 74 males and 14 females, aged 30 to 45 years, who finished the Valencia Marathon in 2016. Moreover, marathon split times were provided by organizers. Several physiological traits and training habits were collected from each participant. Then, we evaluated several accelerometry- and pace-estimated parameters (pacing, average change of speed, energy consumption, oxygen uptake, running intensity distribution and running economy) in female and male amateur runners. In general, our results showed that females maintained a more stable pacing and ran at less demanding intensity throughout the marathon, limiting the decay of running pace in the last part of the race. In fact, females ran at 4.5% faster pace than males in the last kilometers. Besides, their running economy was higher than males (consumed nearly 19% less relative energy per distance) in the last section of the marathon. Our results may reflect well-known sex differences in physiology (i.e., muscle strength, fat metabolism, VO2max), and in running strategy approach (i.e., females run at a more conservative intensity level in the first part of the marathon compared to males). The use of accelerometer devices allows coaches and scientific community to constantly monitor a runner throughout the marathon, as well as during training sessions.

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Fatigue assessment in distance runners: A scoping review of inertial sensor-based biomechanical outcomes and their relation to fatigue markers and assessment conditions

McConnochie,

Fox,

Badger

et al. 2025

Gait & Posture

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Estimation of energy consumed by middle-aged recreational marathoners during a marathon using accelerometry-based devices

Cited by 13 publications

References 49 publications

Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners

Physiological and Race Pace Characteristics of Medium and Low-Level Athens Marathon Runners

Using Accelerometry for Evaluating Energy Consumption and Running Intensity Distribution Throughout a Marathon According to Sex

Fatigue assessment in distance runners: A scoping review of inertial sensor-based biomechanical outcomes and their relation to fatigue markers and assessment conditions

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