Key result
Higher acute:chronic workload ratio based on session time was significantly associated with lower heart rate variability throughout a college soccer season (-7.4 ± 3.6 m·s-1; p=0.04).
Why the study?
Does acute:chronic workload ratio predict heart rate variability in male college soccer players?
Observational (n=23)
Does acute:chronic workload ratio predict heart rate variability in male college soccer players?
Effect estimate: -7.4 ± 3.6 m·s-1
p-value: p=0.04
Higher acute:chronic workload ratio based on session time is significantly associated with lower heart rate variability in college soccer players, suggesting its utility in tracking physiological state.
May inform workload monitoring for autonomic status in soccer; hypothesis-generating and should not yet alter practice.
Sekiguchi, Y, Huggins, RA, Curtis, RM, Benjamin, CL, Adams, WM, Looney, DP, West, CA, and Casa, DJ. Relationship between heart rate variability and acute:chronic load ratio throughout a season in NCAA D1 men's soccer players. J Strength Cond Res 35(4): 1103-1109, 2021-The purpose of this study was twofold: (a) to examine the relationship between heart rate variability (HRV) and acute:chronic workload ratio (ACWR)-based training load (TL) metrics and (b) to examine relationships across various A:C ratio-based TL metrics. Heart rate variability in 23 male college soccer players (mean ± SD; age, 21 ± 1 years; body mass, 80.3 ± 5.8 kg; height, 181.9 ± 6.5 cm; %body fat, 11.9 ± 2.0%; and V̇o2max, 51.9 ± 5.0 ml·kg-1·min-1) was measured at 5 time points: week(W)1, W3, W7, W12, and W14 during the 2015 NCAA men's soccer season. Heart rate variability was calculated from beat to beat intervals using a heart rate monitor. Players donned a global position satellite-enabled device that measured the following TL metrics: session time (ST), Player Load (PL), PL·min-1, and total distance (TD). Acute:chronic workload ratio was calculated for each TL metric: ACWR-based ST (ACWRST), ACWR-based PL (ACWRPL), ACWR-based PL·min-1 (ACWRPLM), and ACWR-based TD (ACWRTD): ACWR = week average TLs/mo average (30 ± 1 days) TLs. Relationships between HRV and ACWR-based each TL metric were evaluated using mixed effects models. Tukey pairwise comparisons were used to examine differences between types of ACWR-based TL metrics. An increase in ACWRST significantly reduced HRV throughout a season (-7.4 ± 3.6 m·s-1; p = 0.04). There were significant differences between ACWRPLM and ACWRST, ACWRPL and ACWRTD at W1, ACWRPLM and ACWRST at W3 (p < 0.05). In conclusion, ACWRST, ACWRPL, and ACWRTD were significantly different from ACWRPLM. ACWRST was found to significantly predict HRV; higher ACWRST was significantly associated with lower HRV. Therefore, tracking of the ACWR using ST may help to optimize athlete's physiological state throughout a season.
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Sekiguchi et al. (2018) conducted an observational in Healthy athletes (NCAA D1 men's soccer players) (n=23). Acute:chronic workload ratio based on session time (ACWRST) was evaluated on Heart rate variability (HRV) (-7.4 ± 3.6 m·s-1, p=0.04). Higher acute:chronic workload ratio based on session time was significantly associated with lower heart rate variability throughout a college soccer season (-7.4 ± 3.6 m·s-1; p=0.04).
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