Validation of Resting Energy Expenditure Equations in Older Adults with Obesity. Issue 2 (3rd April 2022)

• Record Type: Journal Article
• Authors: Griffith, Rachel; Shean, Ryan; Petersen, Curtis L.; Al-Nimr, Rima I.; Gooding, Tyler; Roderka, Meredith N.; Batsis, John A.
• Is Part Of: Journal of nutrition in gerontology and geriatrics. Volume 41:Issue 2(2022)
• Page Start: 126
• Page End: 139
• Publication Date: 2022-04-03
• Subjects: Elderly -- equations -- obesity -- resting energy expenditure -- validation; Older people -- Nutrition -- Periodicals; Dietetics -- Periodicals; 613.2084605
• DOI: 10.1080/21551197.2022.2070320
• Languages: English
• ISSNs: 2155-1197

Abstract

Abstract: It is unclear which energy expenditure prediction equation should guide weight loss interventions in older adults with obesity. We ascertained the validity of four equations commonly used in practice in a series of weight loss studies of adults aged ≥65 with a body mass index ≥30kg/m 2 using indirect calorimetry data. Diagnostic accuracy was defined as <10% discrepancy between predicted and measured resting metabolic rate (RMR). Mean was 73.4 years. RMR using the ReeVue was 1, 643 kCal. With 59.0% accuracy, the WHO equation demonstrated the highest accuracy while the Harris-Benedict yielded 53.5% accuracy. The Owens equation demonstrated the least variability (21.5% overprediction, 27.8% underprediction) with 50.7% accuracy. A SECA bioimpedance analyzer noted the second lowest accuracy of 49.6%. Only 43.1% of measurements were within 10% of the gold-standard indirect calorimetry value using the Mifflin equation. All equations demonstrated <60% accuracy suggesting a great need for estimating energy needs.