Faculty and students from the Kinesiology and Nutrition Sciences department recently published results of a study. Faculty (James Navalta, Dustin Davis, and Michael Wong) and students (Olivia Perez, Carolina Silva, and Matahn Blank) published "A Gender-agnostic Inclusive Estimation for Resting Metabolic Rate" in the International Journal of Exercise Science. The project was supported by an Affiliate Funding award through the UNLV Sports Innovation Institute Catalyst Grant Program. This is the first study providing RMR prediction to include participants who do not identify as exclusively cisgender female or cisgender male. This equation may be used in an inclusive manner to estimate various caloric needs, including daily energy balance and dietary prescription.