e-ISSN 1694-2078
p-ISSN 1694-2086

Arch Med Biomed Res. 2014;1:47-53.

Brandon Davis1, Joseph Indelicato2, Nicholas Kuiper3

Author Affiliations

1Davis Psychological Services, PC, Grinnell, IA, USA
2Touro College, Bay Shore, NY, USA
3Surgical Associates, LLP, Grinnell, IA, USA

correspondence to
Brandon Davis; brandon@davispsychservices.org

Received: March 3, 2014
Revised: April 12, 2014
Accepted: April 14, 2014


Obtaining resting metabolic rates (RMR) via indirect calorimetry is a critical component of weight management that is used to calculate a new concept, metabolic factor. This calculation allows for the standardized expression of RMR to make it possible to compare metabolism between people and over time. This study found an inverse relationship between weight and metabolic factor, statistically significant, r = -.63, p < 0.001, effect size = .46, suggesting that people who weigh more tend to have lower metabolic factors. Furthermore, statistically significant differences were found in the metabolic factors between people who were normal weight, overweight, and obese, p < 0.001. There was also an inverse relationship between metabolic factor and age, r = -0.21, p < .05, effect size = .03, suggesting that age has a small but significant effect of metabolic factor This variable has the potential to play a key role in treatment planning as it can be used to set realistic weight goals, determine caloric needs for a given weight, and to make decisions as to surgical intervention. More importantly, metabolic factor can be a key instrument in clinical work used to educate people regarding unique differences in metabolism to lower prejudice against the obese and to reduce the devastating shame that often accompanies weight issues.

KEY WORDS: Metabolic factor; Obesity; Resting metabolic rate

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