Personalized weight loss is proven to be effective, but working one-on-one with a weight-loss expert isn’t always affordable, realistic or necessary for the whole population.
Nationally renowned obesity expert Robert Kushner, MD, MS, has developed a new lifestyle assessment, based on 30+ years of clinical research, that segments individuals into six “factor groups.” These groups pinpoint each individual’s unique lifestyle patterns that may contribute to weight gain or prevent weight loss. The assessment allows an individual – and their clinician or coach if they have one – to shortcut the one-size-fits-all approach and zero-in on the lifestyle strategies that will be most useful.
“I have been using my proprietary segmentation approach in clinical practice now for 12 years, and the positive impact it’s had on my patients’ weight loss and health has been impressive,” said Robert Kushner, MD, Professor of Medicine at the Northwestern University Feinberg School of Medicine and Director of the Center for Lifestyle Medicine at Northwestern Medicine. “It’s exciting to see Retrofit using it now for the whole population – people who otherwise wouldn’t experience the power of personalized weight loss.”
On November 8, Retrofit will host a 30-minute webinar where Dr. Kushner will reveal how his evidence-based approach works for weight loss in a clinical setting and how Retrofit, a leading provider of weight-management and disease-prevention solutions, is using it to bring personalized weight loss to the masses.
Dr. Robert Kushner and Retrofit VP of Product & Marketing, Sharen Ross, will cover:
- The genesis of Dr. Kushner’s six lifestyle patterns
- How the lifestyle patterns are used in a clinical setting to make expert-driven weight loss more personalized, efficient and effective
- How Retrofit is using lifestyle patterns to scale personalized weight loss for the whole population in our new Healthy Living Program
The webinar, “Bringing personalized weight loss to the masses,” will take place at 10:30 a.m. CT/11:30 a.m. ET on Wednesday, Nov. 8. To register, click here and take the quiz in advance to uncover your factor group.