This document discusses quantified self and self-tracking in health. It provides examples of individuals who track various health metrics like blood glucose, exercise, diet, biomarkers and have found benefits like reduced insulin needs, weight loss, and cured illnesses. Common metrics tracked include blood glucose, heart rate, inflammation, microbiome, and DNA. The quantified self movement values first-person observations and experimentation to gain insights into one's own health and ways to improve it through lifestyle tracking and changes. There is a goal to aggregate user data to gain broader health insights through projects like the 100k Wellness Project.
2. ⢠Founded in 2009 (Dublin 2011)
⢠100 Meetup Groups
⢠Show & Tell N=1 Experiments
⢠Annual Conferences in US & EU
⢠700 Videos in QS Archive
⢠Quantified Self Website â Health Tags
⢠185 Tools
⢠209 People
⢠100+ Videos
4. ⢠Tracked
⢠Continuous Blood Glucose
⢠Exercise
⢠Diet
⢠Blood Biomarkers
⢠Heart Rate
⢠Ran 2012 Philadelphia Marathon
⢠40% Reduction in Insulin Basel Rates
⢠Healthiest Year Ever
5.
6. ď âWhere There Is Data There Is Hopeâ
ď Tracked
ď Weight, Heart Rate
ď Inflammation Biomarkers
ď DNA
ď Microbiome
ď Improved
ď Weight Loss
ď Clean Diet
ď Supplementing
16. âWe allow, respect, and support first person
Observations. First person involvement dramatically
affects the type of questions that can be asked and
the type of answers that are wanted.â
Gary Wolf
17. ⢠Share & Aggregate Users Data & Findings
⢠100k Wellness Project
⢠Tracking Progression of Health to Disease
⢠Working With:
⢠US Dept. Health
⢠National Cancer Institute
⢠Health-Tech Companies
Hinweis der Redaktion
* Tracked every single diabetes related detail
* blood biomarkers
* exercise
* diet
* All about optimizing certain biomarkers
* Blood glucose
* A1C haemoglobin
* Parsing results
* Worst day after marathon, ate shit loads after the marathon
* Eats more carbs in restaurants
* Exercise very important for diabetes - insulin sensitivity improves
* Wants to pool data from 1000-10000 people to guide new people
* Better feedback loop for patients
* Give data back to patients
* Tracked every single diabetes related detail
* blood biomarkers
* exercise
* diet
* All about optimizing certain biomarkers
* Blood glucose
* A1C haemoglobin
* Parsing results
* Worst day after marathon, ate shit loads after the marathon
* Eats more carbs in restaurants
* Exercise very important for diabetes - insulin sensitivity improves
* Wants to pool data from 1000-10000 people to guide new people
* Better feedback loop for patients
* Give data back to patients