The Dynamic Duo Beach Body Challenge '22 Starts Soon!
Tuesday, March 1st through Saturday, March 26th
Friday, April 1st through Sunday, April 3rd
Assessments are by appointment. You will schedule your assessments when you sign up.
You’ll train 2 times a week for 8 weeks.
Monday, April 4th through Friday, May 27th.
(Scheduled with your trainer.)
Friday, May 27th through Sunday, May 29th
(also by appointment.)
You may pay in full or in three installments.
If you choose installments, the initial installment of $400 is due when you sign up. The remaining two installments of $250 each are charged to your account on April 1st and May 1st.
If you intend to pay in installments we recommend you sign up no later than March 15th. Your first payment is due upon sign-up, and the next installment will be due on April 1st.
You may pay in full or in three installments. Includes a 2-month membership.
If you choose installments, the initial installment of $550 (which includes the two-month membership) is due at sign-up, followed by two installments of $250 each which are charged to your account on April 1st and May 1st.
If you intend to make 3 payments, we recommend signing up no later than March 15th. Your first payment is due when you sign up, and the next installment will be due on April 1st.
Important: Individuals with pacemakers or other electronic medical devices should not take the InBody assessment.
Assessments will be done using the InBody™ Body Composition Scanner to perform the assessments. InBody is the latest, most cutting-edge assessment tool available. In less than a minute, InBody changes the way you see yourself. It’s the device that looks right through you and delivers in-depth, comprehensive analysis data like no other assessment method. In this contest, we will be scoring contestants using two primary measurements and a formula provided by InBody for scoring. The key components are:
• Lean Body Mass (Goal: increase or maintain)
• Body Fat Mass (Goal: decrease)
For the most accurate results, the following guidelines should be observed:
• Hydrate well the day before
• Do not drink caffeine on the day of your test
• Do not eat for 3-4 hours prior to testing
• Do not exercise 6-12 hours prior to testing
• Do not take InBody Test after a shower or sauna
• Do not consume alcohol for 24 hours prior to testing
• Ensure access to both feet with removable footwear (no socks or pantyhose)
• Do not wear jewelry- all jewelry will have to be removed prior to testing
• Measure after standing for at least 5 minutes
• For females, avoid having measurement during menstrual period as total body water will be higher than normal
We will test you twice, once at the beginning of the contest to establish your initial measurements, and then at the end of the contest to determine your improvement. We will then compare the starting measurements to your ending measurements, and, using a proprietary InBody scoring algorithm, determine your score. We will use the same process to score each team.
The Scoring System
The formula we will use is called AWS, or Adjusted Weight System, which considers initial weight, lean body mass change, and body fat mass change all in one formula. The final score number is a percentage, the higher the better.
Using the following InBody measurements:
Initial Lean Body Mass (LBM): 150.4
Initial Body Fat Mass (BFM): 70.4
Final LBM: 153.9
Final BFM: 35.0
If you plug these numbers into the AWS formula, the final score is 57%.
The higher the percentage, the higher the placement. This formula also works for both genders, all fitness levels, and all body types as well, to ensure everyone has a fair shot at winning.
If You Really Want to Know: AWS Formula
File this under more information than you probably need, but here’s the actual formula for those who are interested:
From the basic measurements, we compute the following values for the formula:
- Initial LBM %: Initial LBM/Initial Weight
- Lean Score: Final LBM – Initial LBM
- Fat Score: Initial BFM – Final BFM
These variables are then applied in the following formula:
Initial LBM % * ((7.5*(Lean score) + 4.5 *(Fat score)) / Initial Weight = Your Score
Some advantages to this formula:
Because it is more difficult to add (or maintain) Lean Body Mass than it is to reduce Body Fat Mass (which usually can be accomplished through caloric restriction), the formula gives more weight to building or maintaining lean mass than it does to losing body fat. To gain muscle, you must:
1. Sleep well
2. Get enough proteins
3. Drink a lot of water
4. Have a good hormone profile (normal or elevated testosterone)
5. Good workout program
6. Eat enough fat (for hormones)
7. Eat in a caloric surplus
Adjustment for Fitness Level
Because it is harder for a fit individual to change their body composition, the raw score is multiplied by the Percent Lean Mass at the initial weigh-in. This means that an individual that is 70% LBM (30% Body Fat) is expected to make more positive changes than an individual that is 90% LBM (10% Body Fat).
Adjustment for Body Type
Finally, the score is then divided by the Total Weight at weigh-in into account for differences in body type. For example, a 250 lb individual would need to make more positive changes than an individual that weighs 120 lbs.
Note: We use these scoring methods in this contest instead of weight loss because not all weight loss is equal. We are seeking to encourage healthy, sustainable weight loss through the loss of body fat while emphasizing the retention or increase of lean mass (muscle). We are confident that the InBody device, along with the AWS scoring system provides the best contest scoring method.
Prizes: Over 50,000 Reward Points were awarded in the last Contest!
Prizes in this year’s event will depend upon the number of participants – the more participants, the bigger the rewards!
If you haven’t already, download Fitness Incentive Mobile App! You can get it right here:
The prizes in this year’s contest are “Reward Points” in the FI Mobile App. The total amount of prizes depends on the number of participants in the contest. The prizes are awarded to the top-scoring duos. Additional pop-up challenges and prizes may also be awarded.
There are lots of points to be had, but to get them you MUST have the mobile app.
There are a few simple rules:
- No Fitness Incentive fitness professionals (instructors or trainers) can participate in the contest. (Other non-fitness staff may participate)
- No relatives of trainers can participate in the contest. No exceptions. Any relative that is discovered to have entered will be disqualified.
- Participants will be required to show proof of identification (such as a driver’s license) that shows their date of birth.
- Please refer to the contest contract for additional rules.
If you’re interested in joining the Dynamic Duo Fitness Challenge, here’s what you should do:
If it’s your first contest, or if you have questions about this one, stop by the front desk. They’re ready to help.
Stop by the Desk to Sign Up! You’ll need to make your initial down payment. If you prefer to pay in three installments, they will be billed to your account. Registration ends 3/26/22, but teams often fill up quickly, so don’t hesitate if you’re interested.
Pick a trainer and join a team! If you know who you’d like to train with, just let us know when you sign up. If you’re unsure – and many are – let us know your schedule, availability and training goal and we’ll find a team and trainer for you.
Dynamic Duo Fitness Challenge – Autumn 2021
And the winners are… the results are in for the Autumn 2021 Dynamic Duo Fitness Challenge! Teams were formed and unwanted body fat was replaced with lean muscle mass…just in time for the holiday season. Scroll down for details. Congratulations to all Challengers!
Our winners were up to the Challenge!
Dynamic Duo Fit For Summer 2021 Challenge Results
10,000 Rewards Points
Catherine Malone & Jacqueline Sackoor
Trainer: Theresa Christensen
7,500 Rewards Points
Carolyn Pulley & Sara Hoberman
Trainer: Liz Keller
5,000 Rewards Points
Brian Roche & Anthony Spadolini
Trainer: Theresa Christensen
Fourth Place Team – 1,500 Points
Antoinette Caruso & Maggie Belt
Trainer: Theresa Christensen
Fifth Place Team – 1,000 Rewards Points
Sharon Uss & Carolyn Lilly
Trainer: Theresa Christensen
Sixth Place Team – 1,000 Rewards Points
Christina Thayer & Kelly Rapport
Trainer: Liz Keller
First Place – 1,000 Rewards Points – Anthony Spadolini – Trainer: Theresa Christensen
Second Place – 500 Rewards Points – Carolyn Pulley– Trainer: Liz Keller
Third Place – 250 Rewards Points – Jacqueline Sackoor – Trainer: Theresa Christensen
Individual Honorable Mention
50 Rewards Points Each
Fourth Place – Janet Cassidy – Trainer: Linda Cunningham
Fifth Place – Kristine Odea – Trainer: Linda Cunningham
Sixth Place – Kelly Rapport – Trainer: Liz Keller
Complete Team Results
|Catherine Malone||Theresa Christensen||1|
|Jacqueline Sackoor||Theresa Christensen||0.4458716||1|
|Sara Hoberman||Liz Keller||2|
|Carolyn Pulley||Liz Keller||0.4309531||2|
|Brian Roche||Theresa Christensen||3|
|Anthony Spadolini||Theresa Christensen||0.37785355||3|
|Antionette Caruso||Theresa Christensen||4|
|Maggie Felt||Theresa Christensen||0.28577143||4|
|Sharon Uss||Theresa Christensen||5|
|Carolyn Lilly||Theresa Christensen||0.28247745||5|
|Christina Thayer||Liz Keller||6|
|Kelly Rapport||Liz Keller||0.27238135||6|
|Bridget Roche||Theresa Christensen||7|
|Irene Roche||Theresa Christensen||0.25109913||7|
|Andrea Slager||Jourdan Ilardi||8|
|Christina Campolettano||Jourdan Ilardi||0.24883817||8|
|Bobby Mckown||Jackie Niciforo||9|
|KEmily Voigtin Digman||Jackie Niciforo||0.24168844||9|
|Laurie Lugo||Theresa Christensen||10|
|Elena Lugo||Theresa Christensen||0.15510844||10|
|Susan Gargan||Emily Voigt||11|
|Meredith Susskind||Emily Voigt||0.13248546||11|
|Shioban Brunkered||Linda Cunningham||12|
|Kristine Odea||Linda Cunningham||0.13018897||12|
|Kira Munoz||Liz Keller||13|
|Grace McHugh||Liz Keller||0.10192458||13|
|Deandra Krisowaty||Jourdan Ilardi||14|
|Alex Mattson||Jourdan Ilardi||0.00758583||14|
|Beth Wilson||Theresa Christensen||15|
|Dawn Lucchi||Theresa Christensen||-0.0263774||15|
|Marie Schwarz||Linda Cunningham||16|
|Janet Cassidy||Linda Cunningham||-1.7685486||16|
|Angelo Crisci||Daniel Zona||17|
|Carolyn Sweetapple||Daniel Zona||-1.8399762||17|
|Christina Lauri||TJ Lynch||18|
|Patti Lauri||TJ Lynch||-2.2447378||18|
Complete Individual Results
|Anthony Spadolini||Theresa Christensen||12||28.43%||1|
|Carolyn Pulley||Liz Keller||4||28.11%||2|
|Jacqueline Sackoor||Theresa Christensen||7||26.40%||3|
|Janet Cassidy||Linda Cunningham||9||24.78%||4|
|Kristine Odea||Linda Cunningham||14||24.38%||5|
|Kelly Rapport||Liz Keller||5||21.34%||6|
|KEmily Voigtin Digman||Jackie Niciforo||13||19.62%||7|
|Maggie Felt||Theresa Christensen||18||19.22%||8|
|Catherine Malone||Theresa Christensen||7||18.18%||9|
|Elena Lugo||Theresa Christensen||1||17.47%||10|
|Sara Hoberman||Liz Keller||4||14.98%||11|
|Carolyn Lilly||Theresa Christensen||2||14.92%||12|
|Irene Roche||Theresa Christensen||11||14.68%||13|
|Sharon Uss||Theresa Christensen||2||13.33%||14|
|Christina Campolettano||Jourdan Ilardi||16||12.77%||15|
|Meredith Susskind||Emily Voigt||17||12.64%||16|
|Andrea Slager||Jourdan Ilardi||16||12.11%||17|
|Bridget Roche||Theresa Christensen||11||10.43%||18|
|Grace McHugh||Liz Keller||3||9.53%||19|
|Antionette Caruso||Theresa Christensen||18||9.36%||20|
|Brian Roche||Theresa Christensen||12||9.35%||21|
|Alex Mattson||Jourdan Ilardi||6||9.17%||22|
|Dawn Lucchi||Theresa Christensen||10||8.77%||23|
|Patti Lauri||TJ Lynch||8||8.51%||24|
|Christina Thayer||Liz Keller||5||5.90%||25|
|Bobby Mckown||Jackie Niciforo||13||4.55%||26|
|Carolyn Sweetapple||Daniel Zona||15||4.54%||27|
|Kira Munoz||Liz Keller||3||0.66%||28|
|Susan Gargan||Emily Voigt||17||0.61%||29|
|Laurie Lugo||Theresa Christensen||1||-1.96%||30|
|Deandra Krisowaty||Jourdan Ilardi||6||-8.41%||31|
|Shioban Brunkered||Linda Cunningham||14||-11.37%||32|
|Beth Wilson||Theresa Christensen||10||-11.40%||33|
|Angelo Crisci||Daniel Zona||15||-188.53%||34|
|Marie Schwarz||Linda Cunningham||9||-201.63%||35|
|Christina Lauri||TJ Lynch||8||-232.98%||36|
Click here to visit our Archive page to view past results.