Fatigue Increases in Resting Muscle Oxygen Consumption after a Women’s Soccer Match

Abstract

<jats:title>Abstract</jats:title><jats:p>Currently, near infrared spectroscopy has a clear potential to explain the mechanisms of fatigue by assessing muscle oxygenation. The objective of the study was to observe the changes in muscle oxygen consumption after an official women’s soccer match. The sample was 14 players who competing in the second division of Spain of women’s soccer. They were evaluated before, immediately after and 24 h after the official match. Biochemical parameters were measured in blood plasma (BUN, GOT, LDH, CPK). The jumping in countermovement, perceived exertion and perceived muscle pain were also assessed. The muscle oxygen consumption and muscle oxygen saturation were evaluated in the gastrocnemius muscle with an arterial occlusion test. ANOVA of repeated measures, Pearson’s correlation and Hopkins’ statistics were applied to measure the magnitudes of change and effect size. There was observed an increase in kinetics of SmO2 at 24 h after the official match, using arterial occlusion. In addition, it was found that the increase in muscle oxygenation correlated with fatigue indicators, such as the increases in LDH, perceived muscle pain and the decrease in countermovement. It is confirmed that a women’s soccer match produced an increase of resting muscle oxygenation in 24 h after the official match.</jats:p>

Fatigue and Recovery Time Course After Female Soccer Matches: A Systematic Review And Meta-analysis

“…This percentage is similar to those reported in a recent systemic review of the representativeness of women in thermoregulation research, in which less than 30% of articles that included women reported their menstrual orientations (e.g., natural menstruating, hormonal contraceptive user, pregnant, and postmenopausal) and only 22% reported both menstrual orientation and phase [ 73 ]. Among the studies investigating female soccer, Bonilla et al [ 36 ] and Broodryk et al [ 37 ] evaluated the players only during the follicular phase to avoid variations in the data due to the menstrual cycle. Controlling for the menstrual cycle is relevant considering that CRP is increased in the early follicular phase [ 74 ], while reports of higher cortisol during the luteal phase also exist [ 75 ].…”

“…s −1 ) Match 1—Active group 102 ± 21 93 ± 25* Missing Missing Missing 101 ± 21 Match 1—Passive group 104 ± 21 95 ± 21* Missing Missing Missing 104 ± 21 Match 2—Active group 101 ± 21 96 ± 11 Match 2—Passive group 104 ± 21 98 ± 12 Peak torque extension (°. s −1 ) Match 1—Active group 175 ± 21 165 ± 25* Missing Missing Missing 170 ± 25 Match 1—Passive group 167 ± 16 154 ± 21* Missing Missing Missing 160 ± 25 Match 2—Active group 170 ± 25 166 ± 14 Match 2—Passive group 160 ± 25 154 ± 21 Bonilla et al [ 36 ] CMJ height (cm) …”

Measurement of resting muscle oxygenation and the relationship with countermovement jumps and body composition in soccer players (Medición de la oxigenación muscular en reposo y la relación con los saltos)

“…The device is considered valid for application in sports performance analysis (McManus et al, 2018). Furthermore, evaluating the SmO 2 variables at rest with AOM is an alternative method to finding the true muscle oxygen consumption at rest (Bonilla, et al, 2020).…”

“…Also, the difference between SmO ). These variables are widely described in the studies by Aldo Vasquez and Southern (Bonilla et al, 2020;Southern et al, 2014). All the variables were taken for the dominant leg (DL) and the nondominant (Non-DL) of each player in order.…”

Relación del salto contramovimiento y pruebas de velocidad (10-30 m) y agilidad en jóvenes futbolistas chilenos (Relationship of counter-movement jump and speed tests (10-30 m) and agility in young Chilean soccer players)

“…La normalidad de la distribución de datos se verificó mediante la prueba de Kolmogorov-Smirnov (Maureira, 2017). Para verificar la existencia de una correlación bivariada entre el CMJ y la velocidad (10-30 m) y agilidad, se utilizará el estadístico de Pearson, para lo cual se adaptaron los siguien-tes criterios ya sean positivos o negativos para interpretar la magnitud de la correlación (r) entre las medidas de prueba: <0.1 trivial, 0.1-0.3 pequeño, 0.3-0.5 moderado, 0.5-0.7 grande, 0.7-0.9 muy grande y 0.9-1.0, casi perfecto (Bonilla et al, 2020). Finalmente, se realizó una regresión lineal simple para determinar el coeficiente de determinación (r 2 ) entre el CMJ y la velocidad (10-30 m) y agilidad (Little & Williams, 2005;Maly et al, 2014).…”