Site Issues Training Log & Site Support » Health Data Logging Rss Feed  
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2004-11-29 11:11 AM

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Subject: Health Data Logging

*HEALTH DATA*

  • For this to be graphed accurately, YOU MUST fill out soreness, stress, sleep and fatigue TOGETHER. Calculations are performed on these.
  • Try to precisely gauge each days health data. The more you are accurate, the better your graphs will be and you can spot trends of overtraining.
  • It would be wise to ALSO fill in 'Overall workout' and 'RHR' so you can spot overtraining trends in the graphing section. (see below)

Graphing of Health Data

- Just go to 'Graphs'

  • Health Data: Weight, %Body Fat, Resting Heart Rate and # Hours Slept - Line Graphs
  • SSSF - Sleep, Stress, Soreness, Fatigue
      • Stacked Bar Graph of the values of each. Max is 20...your feeling great!
  • SSSF versus Overall Workout versus Resting Heart-Rate
    • POWERFUL!!!!
    • Line graphs of all three of these data sets.
    • You can spot overtraining trends if you notice your RHR rises over 5 beats over a day or two OR if your SSSF is lower than normal. Sleep, stress, soreness and fatugue are signs of overtraining. If any two or more are 3 or below, YOU COULD BE OVERTRAINING. It would be wise to back off or take a rest day.
    • TO SEE THIS GRAPHICALLY, you MAY find a rise (spike) in your RHR while your 'overall workouts' and SSSF MAY be in decline. SO you can look at any of these three and note when you feel bad, get sick or are having poor workouts. NOW you can get up in the morning, plug some data in and take a look-see at the graph to see if you need a rest day...OR plug it in at night to see if you need the next day off.
    • OF COURSE, these 'indicators' will be different for different people. See what happens for you.
    • Remember...the health graphs ARE JUST indicators...nothing empirical or universal. Listen to your body, don't rely on data and graphs to tell you what to do...although in retrospect, you could spot some interesting trends.

    *Note, having your data range set to 'weekly' seems to eliminate noise from daily un-correlateable fluctuations for SSSF.

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