Gender- and Age-Specific REE and REE/FFM Distributions in Healthy Chinese Adults

Abstract

Basic data on the resting energy expenditure (REE) of healthy populations are currently rare, especially for developing countries. The aims of the present study were to describe gender- and age-specific REE distributions and to evaluate the relationships among glycolipid metabolism, eating behaviors, and REE in healthy Chinese adults. This cross-sectional survey included 540 subjects (343 women and 197 men, 20–79 years old). REE was measured by indirect calorimetry and expressed as kcal/day/kg total body weight. The data were presented as the means and percentiles for REE and the REE to fat-free mass (FFM) ratio; differences were described by gender and age. Partial correlation analysis was used to analyze the correlations between REE, tertiles of REE/FFM, and glycolipid metabolism and eating behaviors. In this study, we confirmed a decline in REE with age in women (p = 0.000) and men (p = 0.000), and we found that men have a higher REE (p = 0.000) and lower REE/FFM (p = 0.021) than women. Furthermore, we observed no associations among glycolipid metabolism, eating behaviors, and REE in healthy Chinese adults. In conclusion, the results presented here may be useful to clinicians and nutritionists for comparing healthy and ill subjects and identifying changes in REE that are related to aging, malnutrition, and chronic diseases.

Resting Energy Expenditure Is Not Altered in Children and Adolescents with Obesity. Effect of Age and Gender and Association with Serum Leptin Levels

“…It is possible that the effect of gender on REE/FFM is age-dependent in children and adolescents. In this sense, age has been considered a clear determinant of REE being negatively correlated in adults [ 65 ] mostly due to the changes in body composition [ 66 ], and positively in children and adolescents due to the age-related increase in body size [ 67 , 68 ]. In the present study, REE showed a moderate positive correlation with age, while REE/FFM was negatively correlated with age, in agreement with previous studies [ 68 ].…”

The effect of age and body mass index on energy expenditure of critically ill medical patients

“…Physiologically, the metabolic rate decreases with increasing age. However, while the influence of age on EE has been studied in a large healthy population [ 16 – 18 ], publications on measured EE in the critically ill mostly included a relatively small subgroup of elderly patients. Furthermore, the epidemics of obesity may complicate the application of prediction equations [ 3 ].…”

Metabolismo energético multicompartimental: modelos preditivos derivados da DXA

“…Estudos têm mostrado diferenças no GER entre homens e mulheres (BYRNE et al, 2005;DIONNE et al, 1999;HENRY, 2005 (CHENG et al, 2016;GEISLER et al, 2016b;MCMURRAY et al, 2014;SIERVO et al, 2015; (GALLAGHER et al, 2006;SONG et al, 2016). Além disso, mulheres afro-americanas têm similares ou menores quantidades de gordura corporal total (GALLAGHER et al, 1996) e maiores quantidades de TO e TME (ORTIZ et al, 1992) A base teórica que sustenta a estratégia da relativização ocorreu devido os semelhantes resultados encontrados neste estudo com a literatura, como por exemplo, o TA representou 23,6% e 39,6% do peso corporal e uma influência de 4,8% e 9,3% no GER para homens e mulheres, respectivamente (Figuras 8a e b).…”