Back to Annual Meeting Page		American Public Health Association 133rd Annual Meeting & Exposition December 10-14, 2005 Philadelphia, PA

Abstract #116704

Scott J. Hall, MPH, University of Nevada, Reno, 634 Humboldt Street, Reno, NV 89509-1606, 775-329-0435, sjhall@unr.nevada.edu, Sachiko St Jeor, PhD, Center for Nutrition and Metabolic Disorders, University of Nevada, Reno, Redfield Bldg, Room 249/MS 153, Reno, NV 89557-0198, and Gary R. Cutter, PhD, The Cooper Institute, 14023 Denver West Parkway, Suite 100, Golden, CO 80401.

Estimating caloric resting energy expenditures (REE) is important for assisting obese patients in weight management programs. Estimated REE values are much more convenient for weight management professionals than relying on indirect calorimetric devices. Several predictive formulas were developed to calculate REE values according to height, weight, BMI, age and gender. These formulas were based on normal to obese patient populations (range = 38-250kg and 142-201cm), but may have limitations when extrapolated to extremely obese patients. To identify the limits of extrapolation, a hat matrix was constructed using leverage values derived from the Cutter-St Jeor dataset (n=1420). Matrices for males and females at three age groups (youngest, average, and oldest) were developed and combined into two charts by gender. The charts provide valid REE caloric estimates (kcal/day) for individual patients whose weight and height are consistent with the original patient population as measured by the maximum leverage value. Color coding helps to define the extent of the matrix, which occurs in a three-dimensional space, for the different age groups. Hat Matrix charts can be helpful for clinical applications in interpreting clients' REE requirements.

Learning Objectives:

• At the end of the session, participants will be able to
• 1) Identify the limits of predictive REE equations
• 2) Deliver accurate REE estimates to overweight and obese patients

Keywords: Weight Management, Obesity

Presenting author's disclosure statement:

I wish to disclose that I have NO financial interests or other relationship with the manufactures of commercial products, suppliers of commercial services or commercial supporters.