Gian Mario Migliaccio

Prof. Gian Mario Migliaccio

Dep. of Human Sciences and Promotion of the QoL, San Raffaele University of Rome, Rome, Lazio, Italy
orcid
Ph.D

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 May 2023 in Sports
Verified
Journal Article
Open access
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Gian Mario MigliaccioGian Mario Migliaccio
Gian Mario Migliaccio
Luca RussoLuca Russo
Luca Russo
MMMike Maric
Mike Maric
Johnny PaduloJohnny Padulo
Johnny Padulo
Breathing is a natural and necessary process for humans. At the same time, the respiratory pace and frequency can vary so much, depending on the status of the subject. Specifically, in sports, breathing can have the effect of limiting performance from a physiological point of view, or, on the other hand, breathing can regulate the psychological status of the athletes. Therefore, the aim of this narrative review is to focus on the literature about the physiological and psychological aspects of breathing pace in sports performance, merging these two aspects because they are usually considered split, in order to create a new integrated vision of breathing and sports performance. Voluntary breathing can be divided into a slow or fast pace (VSB and VFB, respectively), and their effects on both the physiological and psychological parameters are very different. VSB can benefit athletes in a variety of ways, not just physically but mentally as well. It can help improve cardiovascular fitness, reduce stress and anxiety, and improve overall health and well-being, allowing athletes to maintain focus and concentration during training and competition. VFB is normal during physical training and competition, but away from training, if it is not voluntary, it can cause feelings of anxiety, panic, dizziness, and lightheadedness and trigger a stress response in the body, affecting the athlete’s quality of life. In summary, the role of breathing in the performance of athletes should be considered, although no definitive data are available. The connection between breathing and sports performance is still unclear, but athletes can obtain benefits in focus and concentration using slow breathing strategies.

30 July 2024 in Applied Sciences
Verified
Journal Article
Open access
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Gian Mario MigliaccioGian Mario Migliaccio
Gian Mario Migliaccio
Johnny PaduloJohnny Padulo
Johnny Padulo
Luca RussoLuca Russo
Luca Russo
Wearable technologies have become increasingly popular in recent years, as athletes and coaches look for ways to gain a competitive edge. These devices can track a variety of metrics, including heart rate, sleep quality, and movement patterns. This information can be used to identify areas for improvement and make small, incremental changes that can lead to significant gains in performance. The purpose of this narrative review is to provide an integrative overview of the literature on the impact of wearable technologies on marginal gains in sports performance. The literature review was conducted using the Scopus, PubMed, and Web of Science databases, and a total of 55 papers were considered eligible. The results of the literature overview suggest that wearable devices can be classified into three main categories. (1) Location-based wearables (LBW) track an athlete’s location and movement, which can be used to analyze training patterns and identify potential injury risks. (2) Biometric wearables (BMW) track physiological data such as heart rate, sleep quality, and body temperature; these data can be used to monitor an athlete’s fitness levels and identify signs of overtraining. (3) Performance wearables (PMW) track performance metrics such as power output, speed, and distance; this information can be used to optimize training programs and track progress over time. For each category, this paper provides the five most important data points measured by each suggested device. Additionally, sport-specific examples are provided for each category based on the literature data. The limitations of wearable devices, such as accuracy, validity, reliability, interpretability, and cost, are also discussed. However, despite these limitations, the results of the literature review suggest that wearable technologies can be a valuable tool for athletes and coaches who are looking to improve performance. Ultimately, this technological evolution in sports science is likely to dramatically change the state of the art in athletic monitoring and sports analytics.

18 June 2024 in Journal of Strength & Conditioning Research
Verified
Journal Article
Closed access
WDWissem Dhahbi
Wissem Dhahbi
JPJohnny Padulo
Johnny Padulo
LRLuca Russo
Luca Russo
GRGhazi Racil
Ghazi Racil
Mohamed Amine LtifiMohamed Amine Ltifi
Mohamed Amine Ltifi
Gian Mario MigliaccioGian Mario Migliaccio
Gian Mario Migliaccio
Dhahbi, W, Padulo, J, Russo, L, Racil, G, Ltifi, M-A, Picerno, P, Iuliano, E, and Migliaccio, GM. Four- to 6-repetition maximum and 1-repetition maximum estimation in free-weight bench press and smith machine squat based on body mass in male athletes. J Strength Cond Res 38(8): 1366–1371, 2024—This study aimed to explore the feasibility and face validity of predicting maximum strength 1 repetition maximum (1-RM) and 4–6 RM in athletes across different sports specialties, based on the relationship between muscle strength and BM. One hundred fifteen male athletes, aged 23.63 ± 6.77 years and participating in diverse sports specialties, were included in this study. Muscle strength was assessed using the 4–6 RM and 1-RM tests in free-weight bench press (BP) and Smith machine squat (SQ) exercises, whereas BM was measured using a portable digital scale. A linear regression equation based on muscle strength and BM was performed. The 4–6 RM and 1-RM scores showed excellent intersession relative reliability (intraclass correlation coefficient (2,1) : 0.946–0.989) and absolute reliability (CV: 3.4–4.7%) in both BP and SQ exercises. In addition, the magnitude of the relationship and the coefficients used to estimate the 4–6 RM and 1RM, based on BM, differed among the subjects when they are grouped according to their sports specialties ( R 2 ranged from non-significant to 0.998). Overall, the 4–6 RM test showed a stronger correlation with BM ( R : 0.655 for SQ and R : 0.683 for BP) than the 1RM ( R : 0.552 for SQ and R : 0.629 for BP), and the general (i.e., not sport-specific) 4 to 6-RM prediction equations should be preferred over sport-specific ones because they are statistically more robust due to the larger sample size. In conclusion, the 4–6 RM can be predicted from BM with high reliability, a moderate association, and a prediction error that, when considering the 4–6 RM as a starting point for estimating of the 1RM, can be considered entirely acceptable in practical settings.

29 January 2014 in Nutrients
Verified
Journal Article
Open access
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MPMarco Pinna
Marco Pinna
SRSilvana Roberto
Silvana Roberto
RMRaffaele Milia
Raffaele Milia
EMElisabetta Marongiu
Elisabetta Marongiu
SOSergio Olla
Sergio Olla
ACAntonio Crisafulli
Antonio Crisafulli
The beneficial effects of beetroot juice supplementation (BJS) have been tested during cycling, walking, and running. The purpose of the present study was to investigate whether BJS can also improve performance in swimmers. Fourteen moderately trained male master swimmers were recruited and underwent two incremental swimming tests randomly assigned in a pool during which workload, oxygen uptake (VO2), carbon dioxide production (VCO2), pulmonary ventilation (VE), and aerobic energy cost (AEC) of swimming were measured. One was a control swimming test (CSW) and the other a swimming test after six days of BJS (0.5l/day organic beetroot juice containing about 5.5 mmol of NO3−). Results show that workload at anaerobic threshold was significantly increased by BJS as compared to the CSW test (6.3 ± 1 and 6.7 ± 1.1 kg during the CSW and the BJS test respectively). Moreover, AEC was significantly reduced during the BJS test (1.9 ± 0.5 during the SW test vs. 1.7 ± 0.3 kcal·kg−1·h−1 during the BJS test). The other variables lacked a statistically significant effect with BJS. The present investigation provides evidence that BJS positively affects performance of swimmers as it reduces the AEC and increases the workload at anaerobic threshold.

Gian Mario MigliaccioGian Mario Migliaccio
Gian Mario Migliaccio
GFGloria Di Filippo
Gloria Di Filippo
Luca RussoLuca Russo
Luca Russo
TOTania Orgiana
Tania Orgiana
Luca Paolo ArdigòLuca Paolo Ardigò
Luca Paolo Ardigò
Johnny PaduloJohnny Padulo
Johnny Padulo
Aim: Mental fatigue (MF) has been defined as a psychobiological state commonly caused by prolonged periods of demanding cognitive activity. However, the differences between women and men in their reaction times (RTs) to visual stimuli due to mental fatigue remain largely unknown. We compare the differences in RT and heart rate after an acute intervention of mental fatigue between male and female athletes. Materials and methods: For this aim, 64 participants (age 31.7 ± 6.2 y) performed a routine of 15 min of the Stroop test (PsyTool), with 600 tasks and five different colors. Their heart rate (HR) was registered before, during, and one, three, and five minutes after the Stroop test. Meanwhile, the RT was evaluated before and after the Stroop test. A general linear mixed model (GLMM) and a Bonferroni post hoc test were used to compare the HR between the conditions and an ANOVA two-way analysis was used to compare the values pre-/post-Stroop test. (α = 0.05). Results: The GLMM for HR showed an effect on the time (p < 0.001) and the time × group interaction (p = 0.004). The RT was significantly increased pre- to post-Stroop test (p < 0.05); however, there was no difference between the pre- and post-HR measurements (p = 1.000) and the measurements one (p = 0.559), three (p = 1.000) and five (p = 1.000) min after the Stroop test. Conclusion: The present findings suggest that the parasympathetic branch of the autonomous nervous system which functions as a relaxation system tends to be activated under increasing mental fatigue, with a decreased performance (RT) similarly in men and women. Therefore, athletes could use MF induced during training to improve the time delay related to motor tasks.

Luca RussoLuca Russo
Luca Russo
EMEleonora Montagnani
Eleonora Montagnani
Davide PietrantuonoDavide Pietrantuono
Davide Pietrantuono
FDFabiola D’angona
Fabiola D’angona
TFTommaso Fratini
Tommaso Fratini
Johnny PaduloJohnny Padulo
Johnny Padulo
This study evaluated the effects of a single exercise session of Self-Myofascial Release (SMR) on the posterior muscular chain flexibility after one hour from the intervention. Thirty-six participants performed SMR using a rigid ball under the surface of both feet. Participants were tested with the Sit and Reach (S&R) test at four different times: before (T0), immediately after (T1), 30 (T2), and 60 (T3) minutes after the SMR intervention. The sample (n = 36) was categorized into three groups: (1) flexible, (2) average, and (3) stiff, based on the flexibility level at T0 (S&R values of >10 cm, >0 but <10 cm and <0 cm, respectively). For the whole sample, we detected significant improvements in the S&R test between the T1, T2, and T3 compared to T0. The stiff group showed a significant (p < 0.05) improvement between T1–T2 and T1–T3. Results were similar between the average group and the whole sample. The flexible group did not show any significant difference (p > 0.05) over time. In conclusion, this investigation demonstrated that an SMR session of both feet was able to increase posterior muscular chain flexibility up to one hour after intervention. Considering that a standard training session generally lasts one hour, our study can help professionals take advantage of SMR effects for the entire training period. Furthermore, our results also demonstrate that physical exercise practitioners should also assess individuals’ flexibility before training, as the SMR procedure used in this work does not seem necessary in flexible individuals.