Dennis J. Darland's Health

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

Health Information

Raw Health Data
1. My Main Food Costs
2. My Main Main Nutrituion
3. Source of most Nutrition data above - except cholesterol
4. Source for cholesterol
5. Raw data for Several variables affecting glucose
6. Some Raw Data
7. Some More Raw Data
8. Nutrition summary (gathered from diet power program) since June 2018 - when I started measuring Peanut Butter & margarine.
9. 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.
10. Nutrition Obtained from a different program after Diet Power stopped Working
11. Combined Nutrition Info
12. Combined Nutrition Info Including Less Accurate
13. Summary of Labs since 2000 (gathered from lab reports)
14. Summary of Labs done less frequently - correlations below do not include them.
15. I'm trying to exercise a large consecutive streak (Like duolingo)
16. 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!
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
7. Recent Glucose Chart Readings
8. Recent Weight Chart
9. Recent Basic Food Plan
Nutrition vs Exercise vs Glucose

Compute Coefficients and testing various settings - results will change as I accumulate more testing on the settings
Suspected Adverse Reactions
1. Lactose Intolerance
2. Gluten intolerance
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)
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)
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)
A shell script to extract select data from correlations.
Correlation data for weight & glucose for sugar, fat & calories (& calcium - because cal matched it)
Data combined & sorted.
Notes on Diet
1. I became vegetarian [not vegan] December 8, 2018
  Based on these videos:
  1. Cowspiracy [I have corresponding book - not started 12/10/2018]
  2. Diet for a Hot Planet [I have corresponding book - finished 12/18/2018]
  3. Daring Democracy [I have corresponding book - finished 12/6/2018]
  4. I also have Diet for a Small Planet (20th Anniversary edition) [started 12/2/2018] (I used 1st edition in 70s)
  5. Books by Laurie Endicott Thomas:
    I have read:
    1. Not Trivial
    2. Thin Diabetes Fat Diabetes
    Plan to Read:
    Where do Gorillas Get Their Protean?
Food and Diet Data - Etc.
Sciatica Exercises
1. Sciatica Exercises
Sleep and Health
1. About Chronotypes
2. I have also read:
  Roenneberg, Till - Internal Time: Chronotypes, Social Jet Lag, and Why You're So Tired
3. Daniel H. Pink on The Science of Perfect Timing
4. Also see On Sleep
5. And see: NY Times article on analyzing medical records
6. I think time misperception is one of my biggest problems.
7. Trying to make schedule I can manage to follow
Health and Laughter
1. On Norman Cousins (I took the Saturday Review in High School) and Laughter
2. On Jim Valvano and Laughter
3. For several years I have seldom been laughing - I am going to start trying to laugh using laughter yoga (except practicing alone instead of in a group)
4. Laughter Yoga
5. Laughter exercises
6. More Laughter exercises
Health and Exercise
1. Goals in order of priority
  1. Neck Exercises (60 repetitions of 3 exercises)
  2. Jiggin George 15 minutes at speed 3 twice a day
  3. Yoga (meditation - 60 minutes/day)
  4. Walk 1 mile if weather OK
  5. Sleep - 6.5 hours/day
  6. Stationary Bike - 1.1 miles - a day
  7. Stretches - if I find time
2. The Programs
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