Health of Dennis J. Darland
Mail To: pal at dennisdarland dot com
Comments welcome

Health Information

  1. Raw Health Data
  2. Monthly Averages
  3. Nutrition vs Exercise vs Glucose
  4. Suspected Adverse Reactions
  5. Correlations of Monthly Data
  6. The Programs
  1. Raw Health Data

    1. Raw data for Several variables affecting glucose
    2. Some Raw Data
    3. Some More Raw Data
    4. Nutrition summary (gathered from diet power program) since June 2018 - when I started measuring Peanut Butter & margarine.
    5. Nutrition summary (gathered from diet power program) since 9/1/2007
      Early on I was guessing at peanut butter & margarine. My estimates were way too high which I learned when I started measuring.
      My cholesterol intake was low in spite of the mis-measuring.
    6. Nutrition Obtained from a different program after Diet Power stopped Working
    7. Summary of Labs since 2000 (gathered from lab reports)
    8. Summary of Labs done less frequently - correlations below do not include them.
    9. I'm trying to exercise a large consecutive streak (Like duolingo)
    10. Time spent on activities at:
      Time Records
      I started keeping track, because I never seemed to have enough time to do everything I wanted to do!
  2. Monthly Averages

    1. Result of snobol program - Weight, Glucose, blood pressure and pulse averages
    2. Result of snobol program - Sleep, secondary sleep, exercise and yoga averages
      There were some typos (descending dates) in this file (fixed 1/6/2022). There was error checking for this which was not working - fixed now.
      It would havev also, consequentially affected the correlations below. (they have been rerun now)
    3. Result of snobol program - A few other Items (oxygen, pulse, and temperature)
    4. # of days with # of BMs"
    5. # of times # of days without BM
    6. Other BM info
  3. Nutrition vs Exercise vs Glucose

    Compute Coefficients and testing various settings - results will change as I accumulate more testing on the settings

    1. Raw data for Several variables affecting glucose
    2. Processed more accurate monthly data
    3. Processed less accurate monthly data
    4. Raw monthly averages for Several variables affecting glucose
    5. Raw monthly averages for Several variables affecting glucose (more data but less accurate)
    6. Table Of Better General Results For various settings
    7. Table Of Better Specific Results For various settings
    8. Table Of All General Results For various settings
    9. Table Of All Specific Results For various settings
    10. Snobol Program to set constants
    11. Snobol Program to convert monthly average data to form for these programs
    12. Snobol Program to generate Maple Program depending
    13. Generated Maple Program
    14. Sample Maple Output
    15. 1st Snobol Program to massage output of maple Programs
    16. Sample Results with Several Variable Calculations
    17. 2nd Snobol Program to massage output of maple programs
    18. Sample Results with Several Variable Calculations
    19. Icon program to discard some number of low and high coefficients for averaging
    20. Snobol Program Generate Maple Program to Check Coefficients vs Data
    21. Sample Maple Test Program
    22. Snobol Program Massage Maple Program General Output
    23. Snobol Program Massage Maple Program General Output
    24. Snobol Program Massage Maple Program General Output
    25. Snobol Program Massage Maple Program General Output
    26. Icon program to discard worst results
    27. Ruby Program to All Accumulate General Results Into a Table
    28. Ruby Program to Better Accumulate General Results Into a Table
    29. Ruby Program to Accumulate All Specific Results Into a Table
    30. Ruby Program to Accumulate Better Specific Results Into a Table
    31. Intermediate file
    32. Intermediate file
    33. Intermediate file
    34. Intermediate file
    35. shell subscript to run programs
    36. shell script that should gibe very close results for testing
    37. shell scrpt for all data
    38. editing script
    39. editing subscript
    40. editing subscript
  4. Suspected Adverse Reactions

    1. Lactose Intolerance
      1. Flatulence - Gas - I've had much trouble with this
      2. Painful BM's - I called it constipation
      3. Fatigue - Severe at times
    2. Gluten intolerance
      1. Rashes - I had severe problems from infant to early 20's
      2. Constipation - Severe problems
      3. Fatigue - Severe at times
      4. Depression and Anxiety - Severe at times
      5. Unexplained aches and pains - Sometimes
    3. Lactose and gluten intolerance
      1. Sinuses - After using lactaid and gluten cutter my sinuses improved dramatically
    4. Caffeine
      1. Totally stopped caffeine 12/6/2022 No Glucose > 100 since 12/10/2022 (as of 1/9/2023)
  5. Correlations of Monthly Data

    1. I have fixed problems introduced when separating the "better" (but less) data from the less accurate (but more) data.
      The columns are the names of the correlation, the two data items, and the number of data points, and minimums and maximums for each item.
      Only pairs of data for which data is available for both in the same month.
      NOTE: PO=Personal Observation, DP = Diet Power Program; LA = Lab Reports
      Usually I only have labs every 3 or 4 months - the others are averages.
      A correlation of 1.0 indicates perfect linear correlation. A correlation of -1.0 indicates perfect anti-correlation.
      The closer the correlation is to 1 the better a straight line can go through all the points.
      If there are only 2 points, a straight line always goes through them, so the correlation will be 1.
      The more points there are, the more significant the correlation.
      However there could be a separate common cause such as improvement (or worsening) of diet or exercise.
      NOTE: Many of these correlations could be purely accidental.
      I am just looking for possibilities.
    2. Data with peanut butter and margarine measured - less but more accurate diet data
      1. I've added the differences (changes) and time (months since January of year of birth) to the master table.
      2. The correlations were calculated in APL, but changed now to Maple (due to memory limitations).
      3. The Monthly Correlations
      4. Particular Correlations (because all are too many to study)
        1. Glucose correlations
        2. A1C correlations
        3. Cholesterol
        4. Triglycerides correlations
        5. LDL correlations
        6. H2O (from scales) correlations
        7. water correlations
        8. sugar correlations
        9. protein correlations
        10. fat correlations
        11. fib correlations
        12. Miles walked, biked or playing pool
    3. Data without peanut butter and margarine measured - more but less accurate diet data
      1. I've added the differences (changes) and time (months since January of year of birth) to the master table.
      2. The correlations were calculated in APL, but changed now to Maple (due to memory limitations).
      3. The Monthly Correlations
      4. Particular Correlations (because all are too many to study)
        1. Glucose correlations
        2. A1C correlations
        3. Cholesterol
        4. Triglycerides correlations
        5. LDL correlations
        6. H2O (from scales) correlations
        7. water correlations
        8. sugar correlations
        9. protein correlations
        10. fat correlations
        11. fib correlations
        12. Miles walked, biked or playing pool
      1. Linux Script to explore data
      2. Linux Script to explore personal observation data
      3. Linux Script to explore diet power data
      4. Linux Script to explore lab data
  6. The Programs

    1. Snobol Program to generate Maple Program depending on order
    2. Generated Maple Program - 1st order
    3. Generated Maple - 1st + matching
    4. Generated Masple - + cross
    5. 1st Snobol Program to massage output of maple Programs
    6. 2nd Snobol Program to massage output of maple programs
    7. Snobol Program Chech predictions of Maple programs vs Data
    8. Unicon (really just icon) program to merge data from 4 data files into 1 master file
    9. Snobol4 program adding differences between monthly data.
    10. Unicon program extracting columns to files.
    11. Generating and running Maple for the correlations
    12. Snobol program to massage output - then sorted using Linux sort.
    13. Unicon program for BM stats (working 9/19/2019)
    14. Unicon program for BM stats (working 9/19/2019)
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