I finally got to try the Fit 3D body scan and I’m excited to share the type of data you can expect to get !
I had the opportunity to do the Fit 3D body scan while in New York city earlier this month. I just had to stop by and check out the facility. It is essentially every biohacker’s dream with all the best and latest machines and technology to upgrade your wellness, fitness, and recovery.
The woman behind the vision for HackdFitness is Pamela Gold, who is just a beutiful person inside and out. It’s reflected in the atmosphere and culture as soon as you enter the gym. All the trainers are genuinely welcoming, knowledgeable, and want to see you succeed.
Pamela’s vision is to create a positive biohacking community in New York city and help people train and recover more efficiently – if you ever find yourself in New York, I highly recommend that you check out this gym and experience all the available technology for yourself !
I got a tour of the gym, and got to try a few of the machines and devices, which I will be reviewing in a series of posts.
The first technology that I tried at Hackd was Fit 3D ProScanner which I’ll be reviewing in this post. This is a patented 3D Body Scanner which in 35 seconds captures all your body composition data, including your body shape, body fat, posture, and measurements of all your body parts, etc. It essentially makes over 200 measurements and then it scores you against the bell curve of other users in your age range and of the same gender. The data is stored in your private profile and if you do subsequent scans in the future, the new data gets added to the profile so you can see your progress scan to scan.
Seeing my Fit 3D scan results was a VERY humbling and motivating experience and I’ll be sharing some of my data below so you can see what type of report you can expect !
About Fit3D Total Body Assessment Platform
Fit3D became a company in 2012 and since then, the ProScanner has been used in over 40 countries to provide over almost 400,000 wellness assessments. Currently, a Fit3D ProScanner is being used more than once every 1-1.5 minutes worldwide.
That’s a lot of body scans !
What I find impressive is Fit3D has partnered with leading health and wellness institutions, including UCSF, LSU, Ryerson University (yay Canada!), SF Austin State, and others. Most recently, they’ve partnered with the Health Data and Design Innovation Center (HD2i) at the Icahn School of Medicine at Mount Sinai (MSSM) on a program to further understand the effects of one’s body shape on overall health and wellness.
The latest Fit 3D algorithm can measure the user’s body fat. This algorithm predicted body fat to within 5% accuracy 90.4% of the time (85.2% accuracy on women and 92.6% accuracy on men).
Below are the standard body fat wellness ranges for men and women, based on gender and age.
And now for the moment of truth - my results !
A small disclaimer that I have to throw out there – I am by no means a bodybuilder.
I am conscious to stay active with HIIT training, yoga, and pilates. However, my academic background is in genetics and biotechnology, so I realize there is much more to learn and apply in the realm of exercise and I am certainly on that journey myself.
Body Shape: Rating
The body shape rating is an interesting metric, because it’s correlated with your risk for cardiovascular disease.
According to my scan I’m in the 71st percentile for cardiovascular risk. Meaning that 70% of all people who’ve taken the Fit3D scan with a similar age and gender, have a higher cardiovascular risk than I do, while 28% have a lower cardiovascular risk than I do.
This is a great result, but there is certainly room for improvement.
Body Shape: Waist Circumference
Waist circumference (WC) is a measurement taken at the small of the back.
WC predicts risk independent of Body Mass Index (BMI). It’s especially helpful for patients who may appear normal on the BMI scale. BMI is a simple measure that takes into account a person’s height a weight. Meanwhile, WC is a measurement associated with deep (visceral) fat and overall body shape.
So what’s most interesting is that a larger waist circumference may signal a collection of unhealthy visceral type of fat that wraps around internal organs.
Generally, a lower waist circumference is better. High risk WC for men is > 102 cm and for women > 88 cm.
The waist circumference metric was a surprising one for me. I know if I tighten my abs, my waist will measure at 25 inches. But here’s me letting it all out !
This score was not great to see, but I did do better here than 70% of people who completed the Fit3D body scan with a similar age and gender. So while there is room for improvement, I feel good about landing in the “ideal” range.
Body Shape: Waist to Hip Ratio
To calculate your waist to hip (WHR) ratio, you divide waist circumference (narrowest waist part) by the circumference of the hips ( widest hip part).
WHR is generally used to evaluate an individual’s risk of obesity, diabetes, coronary heart disease, and/or high blood pressure.
As a health metric, the WHR is extremely limited, but it’s an easy way to evaluate the level of visceral fat you may have.
WHR generally shows a decline with advancing age. This is not so surprising, as waist circumference measurement will go up as deep (visceral) fat accumulates around organs. Needless to say, this is something to watch out for.
Body Shape: Trunk to Leg Volume Ratio
Trunk to Leg Volume Ratio compares volume of your torso/trunk versus the volume of your legs.
A study out of Berkeley that used data from the American National Health and Nutritional Examination Survey 1999–2004, found that trunk to leg volume ratio was independently associated with increased diabetes risk and mortality.
Similarly, other research claims that carrying a high percentage of your body’s volume in your torso compared to your legs increases your risk of experiencing pre-diabetes, diabetes, high triglyceride (fat) counts, high blood pressure, metabolic syndromes, and other severe health complications.
Body Composition: Body Fat
I was honestly expecting my body fat score to be worse. I’ll be honest, I get lazy with working out sometimes and over-rely on my height and genetics to carry me through those periods of time, but those can obviously only take you so far.
Checking the Fit 3D body wellness ranges chart that I posted toward the top of this article, an “ideal” body fat range for a female at my age should fall somewhere between 19% to 24.5%. Interestingly, at my score of 20.54%, the algorithm scored me even better and placed me in the “lean” category on the bell curve against all other users who’ve done a Fit 3D body scan.
I actually first looked at the male range by accident and got concerned because the idea body fat range for a man in the same age range is 10.6-16.4%.
So something to consider – gender affects ideal body fat composition !
A trainer at Hackd Fitness told me that for women, once you start getting closer to the 15% body fat range, this can start affecting hormonal health and creating disbalances, so you don’t want to over-work yourself to the point of your body fat dropping too low.
This was a cool metric to see.
Your basal metabolic rate (BMR) is essentially how many calories your body would need to consume daily, to keep your body functioning at rest.
You can also think of this as your body’s metabolism.
In terms of body shape, as your weight, height, and surface area increase, so does your metabolic rate.
In terms of body composition, lean muscle mass has a higher metabolic rate than fat tissue. So as lean muscle mass increases, BMR increases.
There are gender differences as well. BMR for women tends to be 5 – 10% lower than for men.
Lesson learned ? I’ve got to work on increasing my lean muscle mass !
Looking at my posture data – talk about a reality check !
I have always carried purses and bags on my right shoulder and this is reflected in my posture. Basically my entire body leans a bit to the right.
I’ve been putting off buying a backpack for my laptop and daily things – this is the wake-up call I needed !
Looking at my balance, it’s interesting to see how my body compensates for my posture.
I know I tend to lean on my right leg versus left more often. This is reflected in my balance scores whereas the heel of my right sole is naturally carrying the most weight distribution even when I am standing up straight.
Room for improvement: starting to be more aware of how I distribute my weight while standing. Perhaps choosing to lean on my left leg more often to try and re-balance my posture. Best not to lean at all however, and be more aware of standing up straight.
It was interesting to see how my body measurements affect my health risks and where I place on the bell curve distribution of all other Fit 3D body scan users of the same gender and in the same age range as me.
There were a few other metrics that I didn’t post, like a full list of measurements per body part (ie right forearm and bicep vs left, left thigh or calf vs right, neck , hips, etc).
I like the fact that I’ll now have this report as a snapshot in time, providing a more complete picture of my overall health.
My biggest takeaway though ?
Do more high intensity interval training to decrease waist circumference and fat mass, as well as incorporating more weight training to increase lean muscle mass.
It’ll be cool to do another scan like this in half a year to a year’s time to see how my scores change across the board.
Doing this Fit 3D scan was definitely good motivation and I know have the data to keep me accountable.