Predictive equations overestimate the resting metabolic rate in postmenopausal women

Abstract

None of the equations to approach, in this study showed precision in the estimative of RMR, all prediction equations overestimated RMR values in Brazilians' postmenopausal women, although the MSJ predictive equation showed the greater approximation of RMRmeasured for this population.

Comparison between resting metabolic rate and indirect calorimetry in postmenopausal women

“…The Mifflin-St. Jeor equation was derived from data collected from a sample that included a wide variety of ages and body compositions [29]. A recent study evaluating non-obese and sedentary postmenopausal women demonstrated that predictive equations overestimate RMR, showing that the FAO equation has the highest overestimation of RMR, and that the Mifflin-St. Jeor equation had the greatest accuracy [11]. These findings are contrary to those of the present study, considering that in this study, postmenopausal women were analyzed separately according to their BMI, and the predictive equations were evaluated including muscle mass.…”

“…Several studies report that when used for individuals with different levels of obesity, these equations usually overestimate RMR [9,10]. Recent literature investigating the applicability and reliability of the most commonly used equations, such as Harris-Benedict, Schofield, Food and Agriculture Organization of the United Nations (FAO), and Mifflin-St. Jeor, present conflicting results in different populations [11][12][13][14]. Studies evaluating elderly individuals often report an overestimation of RMR [11].…”

Validity of Predictive Equations for Resting Energy Expenditure in Greek Adults

“…Alternatively, predictive equations derived from observational studies provide an easy and an inexpensive method to estimate REE [1]. Their validity and accuracy have been reviewed but are still questioned and subject to debate [2-4]. Main concerns include the age of equations [5-7], study population in terms of genetic and epigenetic influences on body weight, body composition, and long-term influences of dietary patterns [8, 9].…”

“…Main concerns include the age of equations [5-7], study population in terms of genetic and epigenetic influences on body weight, body composition, and long-term influences of dietary patterns [8, 9]. For these reasons, several studies have investigated the validity and accuracy of previously published REE equations in specific/national populations, like in Australians [10], Brazilian postmenopausal women [4], Dutch, German and American overweight and obese adults [11-14], normal weight, overweight and obese Italian women [15, 16], and Spanish obese adult and child populations [17, 18]. In many of these studies, the existing equations failed to predict REE within ±10% of the measurements using indirect calorimetry prompting the development of new population-specific equations.…”

Effects of inspiratory muscle exercise in the pulmonary function, autonomic modulation, and hemodynamic variables in older women with metabolic syndrome

“…Moreover, it has been widely demonstrated that postmenopausal women are at greater risk for CVD development than premenopausal women, thus suggesting a cardiovascular protective role of ovarian hormones (Guthrie et al, 2004). Additionally, the cessation of ovarian hormones collaborates with the development of muscle atrophy and dynapenia (Conceição et al, 2013), while inducing the weakening of respiratory muscles (Bonganha et al, 2013), representing a major age-related functional impairment. Moreover, aging also leads to cardiovascular functional and structural changes that may impact cardiac autonomic function (Hotta and Uchida, 2010).…”