FIT Project turns to interdisciplinarity to understand injury factors in youth football

To address the alarming injury rate in youth footballers in Sweden, the project Injury-Free Children and Adolescents: Towards Better Practice in Swedish Football (FIT project) seeks to fill in the knowledge gaps by bringing biomedical and social science together.

With its multi-angled and interdisciplinary approach, the project involves a sample of male and female Swedish football players aged 10 to 19, in order to provide concrete, evidence-based recommendations for injury prevention strategies for the use of sporting federations, sport education institutions, coaches, sport support staff, as well as players.

Strength sub-study

Having received funding by the Swedish Research Council for Sport Science, the grant proposal is published in the open-access journal Research Ideas and Outcomes (RIO Journal). Currently finalising its data collection stage, FIT project is being conducted at the Department of Food and Nutrition, and Sport Science, University of Gothenburg, Sweden, by PhD student Solveig Hausken, Dr Natalie Barker-Ruchti, Dr Astrid Schubring and Prof Stefan Grau.

While injuries in youth athletes could potentially instigate injuries later on in their careers or even force them to drop out of sport, so far, research has focused almost exclusively on the biomedical perspective and the identification of clinical and mechanical risk factors. However, little is known about the role of socio-cultural risk factors.

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In contrast, FIT Project turns simultaneously to the disciplines of biomechanics, sport medicine, sport coaching and sport sociology. The researchers conducted laboratory tests to determine the physical and sport-specific dispositions of each player; handed out questionnaires to register details about experienced injury; performed interviews with both coaches and players to shed light on the coaching-training dynamics; and made direct observations on the coaching methods and coach-athlete relationships within the sporting context. Each of these sub-studies is meant to produce a separate dataset to be subjected to an interdisciplinary analysis.

“The FIT project is a rare example of how injury research can integrate biomedical and social science disciplines to produce multiple data sets and an interdisciplinary data analysis procedure,” the team explains.

The researchers expect to identify injury risk factors including: growth and maturation; injury history and general health; biomechanical and clinical parameters; training factors such as training intensity and recovery time between trainings; and contextual factors such as pressure to perform, athletic ideals and knowledge of coaches about injury prevention.Movement analysis sub-study

Starting in January 2019, a pilot analysis including the multiple datasets will be conducted. The team will be publishing updates on the FIT project’s progress on its website.


Original source:

Hausken S, Barker-Ruchti N, Schubring A, Grau S (2018) Injury-Free Children and Adolescents: Towards Better Practice in Swedish Football (FIT project). Research Ideas and Outcomes 4: e30729.

New proposal published in RIO tackles problematic trial detection in

Clinical trials are crucial in determining the effectiveness of treatments and directly influence practical and policy decisions. However, their results could be even detrimental to real-life patients if data is fabricated or subject to errors. While it is about 2% of all researchers that admit to having manipulated their data, a new Dutch Fulbright project proposal, published via the innovative Research Ideas & Outcomes (RIO) Journal, suggests new methods to tackle these issues and to apply them to results reported in the database.

Decisions based on bad data, both clinical and policy ones made by medical doctors and governmental institutions, respectively, can pose direct risks on treated patients and the population in general. Such was the case of beta-blockers, for instance, used to be prescribed to cardiac patients in order to decrease perioperative mortality. However, a subsequent meta-analysis detected erroneous data in the related clinical trials. Moreover, it turned out that beta-blockers actually increase the risk of mortality.

The new Dutch Fulbright proposal led by Chris HJ Hartgerink, Tilburg University, Netherlands, and Dr. Stephen L George, Duke University, United States, proposes new additional statistical methods for erroneous data detection to provide an additional quality control filter for clinical trial results reported in the database.

Unfortunately, misleading data is not simply the product of bad practice, but could also result from human error or inadequate data handling. It is not even clear enough how often such mistakes or manipulations occur and have occurred in reality, let alone their prevalence in any science in particular. What is beyond doubt, however, is that additional methods and procedures of detecting bad data are needed in order to minimize the risk of bad decisions being taken when health and wellbeing are at stake.

“Detecting problematic data is a niche field with few experts around the world, despite its importance,” further explains Chris HJ Hartgerink. “Systematic application remains absent and this project hopes to push this field into this area. New estimates of how prevalent problematic data are welcome, because we currently rely on self-report measures, which suffer from human bias.”

Recently submitted to Fulbright, the 6-month project proposal has now been made open-access by the authors with RIO Journal, an innovative platform publishing all outputs of the research cycle, including: project proposals, data, methods, workflows, software, project reports and research articles.

“A grant proposal is a research output like any other but is only rewarded when it results in funding,” says Chris HJ Hartgerink. “We know that many good proposals are rejected and consequently not rewarded. Publishing the grant proposal shows the output, makes it rewardable and can help improve it by post-publication peer review.”



Original Source:

Hartgerink CHJ, George SL (2015) Problematic trial detection in Research Ideas and Outcomes 1: e7462. doi: 10.3897/rio.1.e7462


Additional Information:

The Research Ideas and Outcomes (RIO) Journal publishes all outputs of the research cycle, including: project proposals, data, methods, workflows, software, project reports and research articles together on a single collaborative platform offering one of the most transparent, open and public peer-review processes. Its scope encompasses all areas of academic research, including science, technology, the humanities and the social sciences.