Can Haematological and Hormonal Biomarkers Predict Fitness Parameters in Youth Soccer Players? A Pilot Study

Perroni, Fabrizio; Migliaccio, Silvia; Borrione, Paolo; Vetrano, Mario; Amatori, Stefano; Sisti, Davide; Rocchi, Marco; Salerno, Gerardo; Vescovo, Riccardo Del; Guidetti, Laura; Baldari, Carlo; Visco, Vincenzo

doi:10.3390/ijerph17176294

Cited by 15 publications

(12 citation statements)

References 57 publications

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“…En la actualidad, VO 2 máx, la respuesta de la frecuencia cardiaca y presión arterial, entre otros, permiten valorar y graduar el entrenamiento deportivo. 21,22 El presente estudio cumple con el objetivo de caracterizar valores de referencia de jugadoras de soccer en condiciones basales, antes de un juego competitivo. También permite apreciar las respuestas de variables hemáticas (citometría hemática), proinflamatorias y metabólicas como respuesta a un partido de fútbol, al destacar los límites como producto del esfuerzo en un juego, así como los valores mínimos esperados, los cuales se asocian frecuentemente a la intensidad del esfuerzo.…”

Section: Discussionunclassified

Biomarcadores hemáticos en jugadoras de fútbol <i>amateur</i>

González¹,

Gallo²,

Santillán³

et al. 2022

Revista Mexicana De Patología Clínica Y Medicina De Laboratorio

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Section: Discussionunclassified

Biomarcadores hemáticos en jugadoras de fútbol <i>amateur</i>

González¹,

Gallo²,

Santillán³

et al. 2022

Revista Mexicana De Patología Clínica Y Medicina De Laboratorio

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“…Ten milliliters of blood were drawn from either the participants’ left or right median cubital vein. The blood was centrifuged at 3000 rpm for 10 min, and the upper layer of serum was stored in a −80 °C freezer [ 27 ]. After blood was drawn, urine and saliva were collected from the participants.…”

Section: Methodsmentioning

confidence: 99%

Cranial Electrotherapy Stimulation to Improve the Physiology and Psychology Response, Response-Ability, and Sleep Efficiency in Athletes with Poor Sleep Quality

Chang

Tsou

Chen

et al. 2022

IJERPH

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Athletes often have poor sleep quality before a competition. Sleep quality can stabilize mood and improve sports performance. The randomized controlled study explored the effects of cranial electrotherapy stimulation (CES) on the physiology, psychology, response-ability, and sleep quality of athletes who had poor sleep quality before a competition. Athletes who had poor sleep quality (Pittsburgh Sleep Quality Scale score >5) and had a competition in less than 2 months were recruited. The athletes were grouped into the CES group, which received a 2-week CES treatment (n = 20, age = 21.55 ± 2.26 years), and a placebo group (n = 20, age = 21.05 ± 1.46 years), which received a 2-week sham CES treatment. We performed biochemical analysis, a simple reaction time test, choice reaction time tests, the Profile of Mood States, heart rate variability (HRV), and an Actigraphy activity recorder to measure outcomes before and after the interventions. Our results revealed no significant differences in blood urea nitrogen, creatine phosphate, testosterone, cortisol, and saliva pH between and within groups (p > 0.05). Significant decreases in negative mood states (i.e., anger, tension, and depression) and choice reaction time in the CES group were noted (p < 0.05), moreover, the anger, tension, and depression mood decreased from 0.36 ± 0.45 (95% CI = 0.16–0.55), 1.62 ± 0.97 (95% CI = 1.19–2.04), and 1.67 ± 1.06 (95% CI = 1.20–2.13) to 0.11 ± 0.20 (95% CI = 0.02–0.19, p = 0.03), 1.12 ± 0.74 (95% CI = 0.79–1.44, p = 0.04), and 0.81 ± 0.75 (95% CI = 0.48–1.13, p = 0.001), respectively. Additionally, choice reaction time was decreased from 420.85 ± 41.22 ms (95% CI = 402.78–438.91) to 399.90 ± 36.71 ms (95% CI = 383.81–415.98, p = 0.04) and was also noted in the CES group. For HRV, and Actigraphy activity for sleep measure, the low-frequency (LF)/high-frequency (HF) ratios changed from 1.80 ± 1.39 (95% CI = 1.19–2.40) to 1.21 ± 0.73 (95% CI = 0.89–1.53, p = 0.10), and sleep efficiency decreased from 87.94 ± 6.76% (95% CI = 84.97–90.90) to 81.75 ± 9.62% (95% CI = 77.53–85.96, p = 0.02) in the CES group. The change in LF/HF after the trial were found between CES and placebo groups (p < 0.05). Yet, the decrease in sleep efficiency in the placebo group were noted (p < 0.05). However, we found that the regression line for sleep efficiency was decreased less during the study while using CES. The CES intervention could reduce negative emotions, improve choice reaction times, enhance the parasympathetic and sympathetic nerve activity imbalances, and slow sleep efficiency deterioration. Regardless, small effect sizes of the application of CES on psychology response, response-ability, and sleep efficiency were concluded in athletes with poor sleep quality before a competition.

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“…Various studies have shown a large to very large association of fitness parameters with training load (Nobari et al, 2020a , c ) and endocrine markers (Mejri et al, 2005 ; Hammami et al, 2018 ; Perroni et al, 2020 ) in young soccer players. Therefore, the results were analyzed to obtain a sample size with at least 0.9 power.…”

Section: Methodsmentioning

confidence: 99%

Association Between Endocrine Markers, Accumulated Workload, and Fitness Parameters During a Season in Elite Young Soccer Players

et al. 2021

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The purpose of this study was to analyze differences between endocrine markers in soccer players, based on playing positions, and correlations between endocrine markers (testosterone, cortisol, growth hormone, and insulin-like growth factor-1), with accumulated workload training and fitness parameters [maximal oxygen uptake (VO2max), countermovement jump (CMJ), and isometric maximal strength (1-RM) of the knee for hamstring (ISH) and quadriceps (ISQ) muscles] during early-, mid-, and end-seasons. Twenty-four elite soccer players under 17 participated in this study. The results showed that there was no difference between levels of the endocrine markers among the different positions of the players. Significant correlations were observed between endocrines parameters and fitness performance (ISQ, ISH, VO2max, and CMJ). Regression analysis showed that 1-RM and VO2max were the best predictors of endocrine markers. These findings demonstrated that the activity profiles of youth soccer players were not influenced by endocrine markers. Also, it may be assumed that endocrines levels can be used to better explain the physical capacities of this population. Finally, endocrines markers may help to predict changes in 1-RM and VO2max.

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Can Haematological and Hormonal Biomarkers Predict Fitness Parameters in Youth Soccer Players? A Pilot Study

Cited by 15 publications

References 57 publications

Biomarcadores hemáticos en jugadoras de fútbol <i>amateur</i>

Biomarcadores hemáticos en jugadoras de fútbol <i>amateur</i>

Cranial Electrotherapy Stimulation to Improve the Physiology and Psychology Response, Response-Ability, and Sleep Efficiency in Athletes with Poor Sleep Quality

Association Between Endocrine Markers, Accumulated Workload, and Fitness Parameters During a Season in Elite Young Soccer Players

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