AIM: To evaluate selected factors influencing resting energy expenditure(REE) in obese female subjects.METHODS: Seventy seven 61 obese Caucasian women [mean age of 52.93 ± 13.45 years, and mean body mass index(BM...AIM: To evaluate selected factors influencing resting energy expenditure(REE) in obese female subjects.METHODS: Seventy seven 61 obese Caucasian women [mean age of 52.93 ± 13.45 years, and mean body mass index(BMI) of 41.78 ± 11.54 kg/m2] were enrolled; measurements of resting metabolic rate(RMR) by a ventilated, open-circuit system, indirect calorimeter were performed after an overnight fast. Body composition as well as medications, physical parameters, blood samples, disease pattern, and smoking were considered. RESULTS: RMR was significantly associated with body weight(r = 0.732, P < 0.001), body height(r = 0.401,P = 0.008), BMI(r = 0.504, P < 0.001), waist circumference(r = 0.602, P < 0.001), mid-upper arm circumference(r = 0.417, P = 0.006), mid-upper arm muscle circumference(r = 0.344, P = 0.028), total body water(r = 0.339, P = 0.035), body temperature(r = 0.409, P = 0.007), smoking(P = 0.031), serum T4 levels(r = 0.331, P = 0.036), obstructive sleep apnoea syndrome(OSAS; P = 0.023), impaired glucose tolerance(IGT; P = 0.017) and impaired glycaemic status, including hyperinsulinism, IGT and diabetes mellitus(P = 0.003).CONCLUSION: Future research should be prompted to optimize the procedure of indirect calorimetry to achieve clinical benefits in obese subjects.展开更多
文摘AIM: To evaluate selected factors influencing resting energy expenditure(REE) in obese female subjects.METHODS: Seventy seven 61 obese Caucasian women [mean age of 52.93 ± 13.45 years, and mean body mass index(BMI) of 41.78 ± 11.54 kg/m2] were enrolled; measurements of resting metabolic rate(RMR) by a ventilated, open-circuit system, indirect calorimeter were performed after an overnight fast. Body composition as well as medications, physical parameters, blood samples, disease pattern, and smoking were considered. RESULTS: RMR was significantly associated with body weight(r = 0.732, P < 0.001), body height(r = 0.401,P = 0.008), BMI(r = 0.504, P < 0.001), waist circumference(r = 0.602, P < 0.001), mid-upper arm circumference(r = 0.417, P = 0.006), mid-upper arm muscle circumference(r = 0.344, P = 0.028), total body water(r = 0.339, P = 0.035), body temperature(r = 0.409, P = 0.007), smoking(P = 0.031), serum T4 levels(r = 0.331, P = 0.036), obstructive sleep apnoea syndrome(OSAS; P = 0.023), impaired glucose tolerance(IGT; P = 0.017) and impaired glycaemic status, including hyperinsulinism, IGT and diabetes mellitus(P = 0.003).CONCLUSION: Future research should be prompted to optimize the procedure of indirect calorimetry to achieve clinical benefits in obese subjects.
