Volume 5, Issue 2

  • 2019, June

    original research

    Changes in Blood Bone Metabolism Markers with Oat Bran Consumption and Brisk Walking Exercise in Middle Age Hypercholesterolemic WomenOpen Access

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    Abstract [+]

    Purpose
    To investigate the additional beneficial effects of combined oat bran consumption and brisk walking exercise compared to oat bran consumption alone on bone metabolism markers in 40 to 50 years-old hypercholesterolemic women.

    Methods
    Thirty-three hypercholesterolemic women participants aged 40 to 50-years-old were recruited and were assigned into three groups, with eleven participants per group (n=11): sedentary without oat bran consumption control (C), oat bran consumption alone (Ob), and combined oat bran consumption and brisk walking exercise (ObEx) groups. Participants in the ObEx group performed brisk walking exercise sessions 30 minutes per session, 3 sessions per week for 6 weeks. Participants in the Ob group and ObEx group consumed 18 g of oat bran powder, 7 days per week for 6 weeks. Participants’ anthropometry and blood bone metabolism markers were measured at pre- and post-tests.

    Results
    There were no significant main effects of time (p>0.05) in serum total calcium, serum phosphorus and serum C-terminal telopeptide of type 1 collagen (1CTP) (bone resorption marker) concentrations in all the groups. However, significantly (p<0.05) increase in serum alkaline phosphatase (bone formation marker) concentration was observed in Ob group and ObEx group respectively.

    Conclusion
    The present observations did not show large difference in the beneficial effects of combined oat bran consumption and brisk walking compared to oat bran consumption alone on bone metabolism markers. Future studies with longer duration may be needed to elicit greater effects of combined oat bran consumption and brisk walking than oat bran consumption alone on bone metabolism markers in middle age hypercholesterolemic women.

    Keywords
    Bone metabolism; Brisk walking; Hypercholesterolemic; Oat bran consumption; Middle age women.


  • 2019, October

    original research

    The Relationship between Pre-Season Testing Performance and Playing Time among NCAA Division II Men’s Soccer Athletes Over a Competitive Season: A Pilot AnalysisOpen Access

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    Abstract [+]

    Aim

    The purpose of this study was to investigate the relationships between pre-season testing performance and playing time within a Division II men’s soccer team over a competitive season.

    Methods

    Data was collected from pre-season athletic performance testing data for 13 male National Collegiate Athletic Association (NCAA) Division II men’s soccer players (age=20±1.5-years; height=180±6 cm; weight=75±7 kg), and was analyzed to determine if relationships existed between physical performance tests (countermovement jump height, peak anaerobic power in watts derived from jump height], change-of-direction performance (505-agility, modified T-test), linear speed (10 m and 30 m sprint intervals), and aerobic fitness (20 m multi-stage fitness test), and playing time over a collegiate season were provided by the University’s coaching staff and retrospectively analyzed.

    Results

    A Pearson’s moment correlations correlation revealed significant (p<0.05) moderate relationships between playing time and 10 m speed (r=-0.569) only.

    Discussion

    These results suggest that linear speed, in particular acceleration over short distance, could be a key characteristic that has some influence on playing time for Division II men’s soccer players.

    Conclusion

    Pre-season testing of soccer players is commonly used to assess athletic potential. Minimal research has investigated the associations between these tests and playing time over the course of a collegiate season.

    Keywords

    Aerobic capacity; Power; Speed; Agility; National Collegiate Athletic Association (NCAA).


  • 2020, January

    research protocol

    Sports Science Data ProtocolOpen Access

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    Abstract [+]

    Purpose

    At the most elite level, even an increase of 1% improvement can make the difference between winning and losing. Sports scientists can help athletes gain insights that can be the differentiating factor. The purpose of this protocol is to delineate the process from the identification of key performance indicators to the presentation of the findings for sports scientists. It is designed to provide chronological steps in efforts to mitigate barriers of collecting data and tracking players as well as to help gain athlete buy-in to sports science by helping them maximize their performance.

    Study Design

    The competitive nature of professional sports leads to players, their agents, and teams to seek the expertise in sports performance areas such as those from athletic trainers, strength and conditioning coaches, physical therapists, nutritionists, and sports psychologists. However, much of the knowledge provided by these entities typically remain in silos. Thus, the whole picture of the athlete’s performance enhancement mechanism is not elucidated. This is where the significance of a sports scientist ensues, with the ability to integrate the data from each of the sports performance areas with the objective of obtaining a complete and comprehensive picture of the athlete.

    Data Collection

    This area of collecting data and monitoring athletes is becoming mainstream. As such professional sports leagues have started to implement privacy rules and regulations on the protection of athlete biometric data. It is important to be aware of the rules related to wearable technology and athlete biometric data as well as how to go about the process of collecting data from professional athletes. That is why it is important that care be taken and a protocol be followed to ensure the integrity of data collection in the field of sports science.

    Data Processing and Analyses

    Data mining is the extraction of data for the purpose of discovering meaningful patterns, normalization, and the choosing of statistical models that can help in making data driven decisions. The interpretation and presentation of the data can have a large impact on the decisions. As such, a protocol should be adhered to.

    Conclusion

    The following protocol will serve as a guide on how to collect data efficiently and successfully.

    Keywords

    Sports science; Data protocol; Sports performance; Sports scientists; Load; Professional athletes; Sports teams.