Obesity Algorithm®

Download the Obesity Algorithm, a set of free obesity treatment guidelines for healthcare professionals. Learn, understand, and implement evidence-based medical approaches for treating obesity, and help your patients achieve better overall health!

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About the 2018 Obesity Algorithm

The Obesity Algorithm is the foremost clinical resource helping healthcare professionals provide effective, individualized care for patients with obesity. Updated yearly by clinical experts in the field of obesity medicine, these obesity treatment guidelines help clinicians keep up with the latest trends and navigate the steps involved in diagnosing and treating obesity. In addition to weight loss, the Obesity Algorithm emphasizes optimizing health, decreasing disease risk, and improving quality of life for patients affected by obesity.

Coming soon! Watch for more information about an interactive, searchable e-book version of the 2018 Obesity Algorithm coming early this summer. Once available, you will be able add the Obesity Algorithm e-book to your tablet or mobile device to quickly and easily find obesity treatment guidelines and recommendations.

What’s New in the 2018 Obesity Algorithm

The Obesity Algorithm is reviewed and updated yearly to reflect the newest and most relevant information. The 2018 version includes updates on:

  • Obesity prevalence
  • Lipodystrophy
  • Obesity paradoxes
  • Clinical interpretation of Dual Energy X-ray Absorptiometry (DXA) results
  • Non-exercise activity thermogenesis (NEAT)
  • FDA-approved anti-obesity medications
  • References
  • Suggested slides for staff training and ABOM exam preparation

Referencing the 2018 Obesity Algorithm

The Obesity Algorithm is subject to a copyright of the Obesity Medicine Association. To reference the use of this resource for educational purposes, please use the full reference:

Bays HE, Seger, J, Primack C, Long J, Shah NN, Clark TW, McCarthy W. Obesity Algorithm, presented by the Obesity Medicine Association. 2017-2018. www.obesityalgorithm.org (Accessed = [INSERT DATE])