5 Matching Annotations
  1. Sep 2023
    1. impair the ability to evaporate sweat [Citation40Shi X, Zhu N, Zheng G. The combined effect of temperature, relative humidity and work intensity on human strain in hot and humid environments. Build Environ. 2013;69:72–80. [Crossref], [Web of Science ®], [Google Scholar]], which could lead to greater heat strain [Citation41Kenefick RW, Sawka MN. Heat exhaustion and dehydration as causes of marathon collapse. Sports Med. 2007;37(4):378–381. [Crossref], [PubMed], [Web of Science ®], [Google Scholar]]. However, this observation was absent when observing the female runner clusters, which could be attributed to the smaller size of the female runner clusters.

      I wonder if the absence of increased heat strain being less noticeable in females could be attributed to the effects of high testosterone. In any case, its interesting that the experiment and data collected did support the hypothesis.

    2. Firstly, naturally occurring groups within the data could be discovered and their characteristics summarized, so that the preliminary inspection of possible relationships between runners’ net time and the environmental parameters could be performed.

      I feel like the idea of naturally occurring groups within the data would add another factor to this experiment, since it would mean that not only is there a sort of significant meaning to the data, but there are measurable patterns that share similarities in the data points.

    3. Prior marathon experience was observed to affect runners’ consecutive marathon performance [Citation28Slovic P. Empirical study of training and performance in the marathon. Res Q Exerc Sport. 1977;48(4):769–777. [Google Scholar]], and Deaner et al. [Citation29Deaner RO, Carter RE, Joyner MJ, et al. Men are more likely than women to slow in the marathon. Med Sci Sports Exerc. 2015;47(3):607–616. [Crossref], [PubMed], [Web of Science ®], [Google Scholar]] showed that marathon pacing was more detrimentally affected amongst runners with < or = 3 y of marathon experience

      How exactly did they go about gathering the information from past races? I know there are websites that catalog past cares and times, but did they just average the time per mile for the estimate of the paces of those races? I feel like having an average would just be counterintutive to their experiment measuring minute differences in runners.

    4. the physiological challenge

      Building off of this concept, would physiological challenges such as location, terrain, or weather also have an impact on the psychological aspect of marathoning? It would probably be more difficult to measure and prove.

    5. investigated whether performance was poorer during an evening marathon compared with morning marathons.

      This is actually a really interesting method to investigate this hypothesis with. This method seems to be testing to see if the air quality (in terms of humidity) has to do with how well they actually do correlates. I wonder if this assumption has any basis.