Tag Archives: diet
We’ve put together an nice list of articles for you to enjoy this weekend. As always, please get in touch if you have something you’d like us to share!
Finding Patterns in Personal Data by Kitty Ireland. Another great post from Kitty about using personal data to uncover interesting, and sometimes surprising, patterns. Some great examples in this post!
The Tale of a Fitness-Tracking Addict’s Struggles With Strava by Jeff Foss. Just because you can track, and you can get something out of it, might not mean you should. (I had a similar experience on a recent trip to Yosemite so this article was quite timely.)
Algorithmic skin: health-tracking technologies, personal analytics and the biopedagogies of digitized health and physical education by Ben Williamson. Quantified Self and self-tracking tools are not limited to only being used by conscious and willing adults. They’re also being developed for and used by a growing number of children and adolescents. What does this mean of health and fitness education, and how should we think about algorithms in the classroom and gym?
Seeing Ourselves Through Technology: How We Use Selfies, Blogs and Wearable Devices to See and Shape Ourselves by Jill Walker Rettberg. I just started this book and it appears offer some interesting perspectives on the current cultural shift toward technically mediated representation. The book includes a chapter on Quantified Self and is available for download in PDF and EPUB under a CC BY license.
Why Log Your Food by Amit Jakhu. Amit started tracking his food in March (2014) and has since learned a few things about his preconceived notions about his diet, food, and what it takes to keep track of it all.
Even When I’m active, I’m sedentary by Gary Wolf. Gary and I used our recently released QS Access app to download his historical step data. Using some simple charting in Excel we found some interesting patterns related to his daily movement.
When Do I Sleep Best by Jewel Loree. Jewel presented her sleep tracking project at a recent Seattle QS Meetup. The image above is just a small piece of a great set of visualizations of her data gathered with SleepCycle and Reporter apps.
It’s About Time by Hunter Whitney. A nice post here about the different methods of visualizing temporal data.
From the Forum
There has been a lot of great discussion on the forum lately. Check out some of the newest and most interesting topics below.
QS Access App
Hypoxic – An App for Breathing Exercises with HRV Tracking
Sleep Tracking & Hacking Google Hangout
Personal Analytics Service for Software Developers
Using Facial Images to Determine BMI
The Right Tool? (tracking and plotting sleep)
We hope you enjoy this weeks list. Feel free to submit articles, show&tell self-tracking stories, and QS data visualizations. Just email me!
Why can’t you track periods in Apple’s Health app? by Nat Buckley. With the recent re-release of Apple’s HealthKit enabled self-tracking and personal data system it no wonder that people are taking a long hard look at what data is being excluded. With the popularity of menstruation tracking apps (this app has nearly 30,000 ratings) it’s surprising this was overlooked. This excellent post is a must read on the topic.
Now That Cars Have Black Boxes, Am I Being Tracked? by Popular Science Editors. Questions and concerns about surveillance are becoming more commonplace. As someone who is looking to purchase a car in the next year or so I was happy to see this post come across my stream.
The Quantified Self community, lifelogging and the making of “smart” publics by Aristea Fotopoulou. I love it when people take a thoughtful look at the Quantified Self community and write about their experiences:
For me, the potential of QS for public participation lies in the show and tell meet-ups that constitute a central feature of this community. Meet-ups enable the exchange of stories about the success or failure of lifelogging practices; they allow people to connect and form synergies around common interests, and to explore wider questions such as personal data management and ownership. [...] members touch upon key political issues and create temporary spaces of dialogue: what happens to personal data, who has access to these data (is it private individuals, governments or corporations)? For what purposes (medical research)? And how can these data be interpreted (by algorithms, visualisations) and used to tell stories about people?
Stepping Down: Rethinking the Fitness Tracker by Sara M. Watson. Sara uses her personal journey of recovery from hip surgery to frame an interesting question: Should we trust our fitness trackers to prescribe movement goals?
Practical Statistical Modeling: The Dreaded After-School Carpool Pickup by Jamie Todd Rubin. Jamie wanted to understand if there was a way he could reduce how much time he spent waiting in line to pick up his son from school. Why not track it and model it!
Bulletproof Diet and Intermittent Fasting: 1.5 Year Results by Bob Troia. Bob takes a deep dive into his data to see if this particular diet is having beneficial health effects. Click for the great data, stay for the wonderful discussion and very, very thorough write-up.
Quotidian Record by Brian House. I’ve been a fan of Brian House since his early days visualizing Fitbit data. I was reminded of this work during a conversation about geolocation data and thought it would be a nice addition to our visualization list.
Visualizing My Daily Self-Management by Katie McCurdy.
What does my daily medication and self-management look like? How could I visualize this regimen? How can I communicate the ‘burden’ and work of caring for myself?
I decided to draw pictures of the things that I need to do on a daily basis; that way I could show the workshop attendees what my day was like instead of just telling them.
It’s Time to Eat by Karl Krehbiel. Karl, a data science intern at Jawbone used the data from their global community of users the determine the likelihood of food and drink consumption during the day. Really fun and interesting visualizations here.
On July 4th, 2009 Jan Szelagiewicz decided to make a change in his life. After taking stock of his personal health and his family history with heart disease he began a weight-loss journey that included a variety of self-tracking tools. Over the course of a few years Jan tracked his diet, activities such as cycling, swimming, and running, and his strength. In this talk, presented at the Quantified Self Warsaw meetup group, Jan describes how he used self-tracking to mark his progress and stay on course.
We’ve heard from our friend, and Pittsburgh QS meetup co-organizer, Anne Wright, many times before. She’s a wonderful proponent of the power of self-tracking and using data, research, and continuous exploration to discover and learn about what is meaningful in your life. All of that passion stems from a personal experience with overcoming various health issues. In this talk, presented at the London QS meetup group, Anne talks about how self-tracking played the key role in helping her recover. Anne then goes on to make the case for using self-tracking to learn how to forge your own unique path towards understanding in a world built around the idea of what is normal.
At the start of 2013 Ellis Bartholomeus decided to start keep track of her life. Since her friends were always asking about her eating habits (she was a consistent traveler and rarely at home) she decide to start tracking her food. Instead of entering in her food into a calorie counting app she started taking pictures of everything she ate. In this talk, presented at the 2013 Quantified Self Europe Conference, Ellis describes her process and some of the interesting things she learned along the way. I was especially interested to hear how these pictures served to act as “anchors” for other things going on in her life:
It became a great way to remember how I spent my days, where I was, with whom. These pictures are very clear reference, they work like anchors in my memory. It is very joyful to browse through the month food-wise since dinner and breakfast are so often a social occasions, and I was reminded of great conversations and situation while looking at the picture.
Max Gotzler wasn’t feeling his best during a long German winter. He decided to visit his physician to see if anything might be going on. This included various blood and micronutrient tests. When he received his results he noticed that his testosterone levels were on the low end of the acceptable range. Intrigued by this, he set out to figure out what affects his testosterone levels. Using a variety of self-tracking tools and methods he experimented with diet and lifestyle factors while tracking his testosterone values. Watch Max talk about what he found below and make sure to read his responses to our three prime questions.
Slides are also available here.
What did I do?
I explored how diet changes influenced my level of free testosterone. In addition, I observed how changes in testosterone related to my mood, sleep and energy level.
How did I do it?
Over the course of one year, I regularly checked my level of free (active) testosterone in saliva and correlated the results to other data I had collected using apps and tracking devices.
What did I learn?
I learned that eliminating carbs from my diet resulted in lower testosterone and adding carbs together with fat and protein increased testosterone. I also learned that sleep was closely tied to my level of testosterone. After good nights of sleep (usually more than 8 hours), my level was elevated the next morning.
We’ve learned a lot from the diabetics in our community, such as Jana Beck’s lessons from 100,000+ blood glucose readings, and Doug Kanter’s narrative visualizations of a year of his diabetes data. At the upcoming QS Europe Conference on May 10th and 11th in Amsterdam, we’re going to hear the interesting story of a non-diabetic who began tracking his fasting glucose to improve his health.
With the US Centers for Disease Control estimating that over a third of the US population shows signs of diabetes or pre-diabetes, it’s not surprising that the techniques of learning from blood glucose measurements are spreading more widely. After learning from his 23andMe profile that he had an elevated risk for developing Type 2 Diabetes, Bob Troia began tracking his fasting glucose daily while also tracking exercise, diet, and experimenting with supplements. He’s been reporting the results on his blog, Quantified Bob. If you’re curious about how to apply these techniques in our own life, join as at the upcoming meeting, or keep an eye out for the video of Bob’s talk at the New York Quantified Self show&tell.
The 2014 Quantified Self Europe Conference is just a few weeks away. Please join us!
Max Gotzler was smack dab in the middle of a long Berlin winter and he started experiencing reductions in this mood, energy levels, and sleep. After getting a blood test he found out he had low levels of vitamin D and testosterone (among other biomarkers). His prior reading and research led him to experimenting with his diet (primarily with carbohydrates). In this talk, filmed at the Berlin QS Meetup group, Max describes his diet experiments and the results he found over six months of tracking.
Katrina Rodzon thought she was a relatively healthy person until she realized that seemingly disconnected symptoms pointed towards something real, a gluten intolerance. She took this hunch and decided to test it out using a simple elimination diet along with tracking her weight and subjective bloating and mood ratings. Watch her great talk from our 2013 Global Conference to find out what she learned.
Chris Bartley worked on land mine removal as part of his undergraduate work, applying data collection and statistics to help with the process of removal. While on a trip for his research he contracted Reiter’s Syndrome. Even after he recovered he still felt like something was wrong. After consulting a physician he started tracking his wellness along with his diet and supplement intake. What follows is an amazing story about what Chris learned when he started applying his knowledge of statistics to his own data.
We’ll be posting videos from our 2013 Global Conference during the next few months. If you’d like see talks like this in person we invite you to join us in Amsterdam for our 2014 Quantified Self Europe Conference on May 10 and 11th.