Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.4
Journals
IJERPH
Special Issues
Data Analytics and Statistical Approaches Applied in Injury Risk, Illness,...
ijerph-logo
Submit to IJERPH Review for IJERPH Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Data Analytics and Statistical Approaches Applied in Injury Risk, Illness, Well-Being, and Exercise Monitoring

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 6848

Special Issue Editor

Dr. Filipe Manuel Clemente

E-Mail Website
Guest Editor
Polytechnic Institute of Viana do Castelo, School of Sport and Leisure, 4960-320 Melgaço, Portugal
Interests: football; soccer; match analysis; performance analysis; network analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Assessment and monitoring of exercise are part of the daily process in recreational and professional contexts. These processes aim to provide relevant information for individualizing training plans as well as to help coaches and staff to make better decisions for people. With the progressing number of technological solutions, collecting data has become more relevant as well as increased the complexity of making good inferences for the practice.

Presently, assessing and monitoring exercise is part of the training puzzle and may meaningfully contribute to the final goals: better health and sports performance and reduced risk of injuries and illness.

Among others, performance analysis may include analysis of the physical fitness of athletes, technical/tactical skills, biomechanical characteristics, or even specific outcomes that can be extracted from a competition (i.e., match analysis). Therefore, mathematical methods, statistical techniques, instruments, and methodologies that can improve the collected information and treat it in an optimized way to provide useful and practical information are determinant.

In an effort to push forward innovative approaches, this Special Issue calls for original articles, systematic reviews, or meta-analyses that may meaningfully contribute to the field of data analysis related to injury risk, illness, well-being, and training and match load. Specific articles bridging the gap between science and practice are particularly welcomed.

Dr. Filipe Clemente
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • statistics
  • data analytics
  • machine learning
  • sports injuries
  • illness
  • training load
  • wellness

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 593 KiB  
Article
A Data Analytics Approach to Assess the Functional and Physical Performance of Female Soccer Players: A Cohort Design
by Francisco Tomás González-Fernández, Alfonso Castillo-Rodríguez, Lorena Rodríguez-García, Filipe Manuel Clemente and Ana Filipa Silva
Int. J. Environ. Res. Public Health 2022, 19(15), 8941; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19158941 - 22 Jul 2022
Viewed by 1613
Abstract
Background and Objectives: The aim of this study was twofold: (i) to observe the individual results of fitness status [countermovement jump (CMJ)], hop test, linear sprinting time, stride frequency, stride distance, force–power–velocity, peak power maximal and maximal speed, and repeated sprint ability (RSA) [...] Read more.
Background and Objectives: The aim of this study was twofold: (i) to observe the individual results of fitness status [countermovement jump (CMJ)], hop test, linear sprinting time, stride frequency, stride distance, force–power–velocity, peak power maximal and maximal speed, and repeated sprint ability (RSA) and functional performance (overhead squat, single-leg squat test, dumbbell hip-hinge, Thomas test, hip extension, and internal and external hip rotators) and (ii) to analyze the relationship between anthropometrical measures and values of fitness status with % of difference in the Thomas test, hip extension, and internal and external hip rotators. Materials and Methods: The study followed a cohort design. Sixteen female soccer players competing in the second division of the Spanish league were monitored during the first days of the pre-season. These players were evaluated three times during the preseason of the cohort period. The dataset showed a negative moderate correlation between time and percentage of difference in hip angle and another positive moderate correlation between maximal sprint and percentage of difference in hip angle (r = −0.54, p = 0.02 and r = 0.53, p = 0.04), respectively. The correlations of stride time and distance with hip extension are interesting, as professional soccer players should have higher levels of hip flexor flexibility during the stride phase, recoil of the instep kick action. Full article
(This article belongs to the Special Issue Data Analytics and Statistical Approaches Applied in Injury Risk, Illness, Well-Being, and Exercise Monitoring)
►▼ Show Figures

Figure 1

11 pages, 708 KiB  
Article
Analysis of Injuries and Wellness in Blind Athletes during an International Football Competition
by Jesús Muñoz-Jiménez, Luisa Gámez-Calvo, Daniel Rojas-Valverde, Kiko León and José M. Gamonales
Int. J. Environ. Res. Public Health 2022, 19(14), 8827; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19148827 - 20 Jul 2022
Cited by 2 | Viewed by 2176
Abstract
Five-a-side football for blind people is the only adapted football modality present at the Paralympic games. Fa5 is a collaborative-opposition sport in which its participants play with no vision, which causes numerous impacts. At the London 2012 Paralympic Games, it was the sport [...] Read more.
Five-a-side football for blind people is the only adapted football modality present at the Paralympic games. Fa5 is a collaborative-opposition sport in which its participants play with no vision, which causes numerous impacts. At the London 2012 Paralympic Games, it was the sport with the highest incidence of sports injuries. The main objective of this work is to analyse the association between pain perception; spatio-temporal, mechanical, and metabolic workload with injuries; and wellness in players during an international Fa5 competition. The following variables, monitored during an International Fa5 Tournament, were analysed: general well-being, perception of pain and injuries, and the spatio-temporal and metabolic workload. The results show that the incidence of injuries increases as the tournament progresses, where injured players reported greater muscle pain and stress before the matches started. Besides, the players’ internal and external load did not explain the incidence of injury. Still, the values obtained in the wellness questionnaire, the perception of pain, and stress suggested they contributed to the incidence of injury. Full article
(This article belongs to the Special Issue Data Analytics and Statistical Approaches Applied in Injury Risk, Illness, Well-Being, and Exercise Monitoring)
►▼ Show Figures

Figure 1

15 pages, 3493 KiB  
Article
An Exploratory Data Analysis on the Influence of Role Rotation in a Small-Sided Game on Young Soccer Players
by Moisés Falces-Prieto, Francisco Tomás González-Fernández, Jaime Matas-Bustos, Pedro Jesús Ruiz-Montero, Jesús Rodicio-Palma, Manuel Torres-Pacheco and Filipe Manuel Clemente
Int. J. Environ. Res. Public Health 2021, 18(13), 6773; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18136773 - 24 Jun 2021
Cited by 1 | Viewed by 2251
Abstract
The aim of the present study was to analyze the behavior of players in a standard small-sided game (SSG) according to the role played (offensive (OF), defensive (DF), and wildcard (W)) and its relationship with physical demands (PHYD), technical performance (TP), and internal [...] Read more.
The aim of the present study was to analyze the behavior of players in a standard small-sided game (SSG) according to the role played (offensive (OF), defensive (DF), and wildcard (W)) and its relationship with physical demands (PHYD), technical performance (TP), and internal load (RPE). A total of 24 young highly trained male soccer players (under 16: n = 12; under 19: n = 12) participated. During the SSG, the players alternated the three roles (OF, DF, and W). The duration of each repetition was 4 min with a passive rest of 3 min between them. Furthermore, it emphasized the high demand in all defensive parameters. In addition, DF roles showed higher values in PHYD and RPE, followed by the OF roles, and finally by the W roles. A complementary, positive moderate correlation was found between PHYD and RPE in the U16 dataset (r = 0.45, p < 0.006). Very large positive correlations were also found between PHYD and RPE in the U19 and merged dataset (r = 0.78, p < 0.001 and r = 0.46, p < 0.63, respectively). This information could be useful for coaches in order to structure the roles in SSGs and control training load. Full article
(This article belongs to the Special Issue Data Analytics and Statistical Approaches Applied in Injury Risk, Illness, Well-Being, and Exercise Monitoring)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop