ABSTRACT
OBJECTIVE: This study aimed to measure the basal energy expenditure (BEE) of Chinese healthy adults and establish an accurate predictive equation for this population. METHODS: In total, 470 Chinese healthy adults had their BEE measured using the Cosmed K4b 2 portable metabolic system. Multiple linear regression analysis was applied to develop new optimal equations for predicting BEE. The bias, accuracy rate, concordance correlation coefficient (CCC), and root mean square error (RMSE) were used to evaluate the accuracy of the predictive equations. RESULTS: There was a significant difference in BEE between males and females, with 5,954 kJ/d and 5,089 kJ/d, respectively. People living in rural areas expended significantly higher BEE (5,885 kJ/d) than those in urban areas (5,279 kJ/d). Previous equations developed by Henry, Schofield, Harris-Benedict (H-B), and Liu overestimated the BEE of Chinese healthy adults. The new equations derived from the present study displayed the smallest average bias and RMSE from the measured basal energy expenditure (mBEE). The CCC of the new equations was higher than other predictive equations, but it was lower than 0.8. There was no significant difference in the accuracy rate among all predictive equations. CONCLUSIONS: Sex and regional differences in BEE were observed in Chinese healthy adults. Neither the widely used previous predictive equations nor the one derived in the present study were accurate enough for estimating the BEE of Chinese healthy adults. Further study is required to develop more accurate equations for predicting the BEE of Chinese healthy adults aged between 20-45 years.
Subject(s)
Basal Metabolism , Calorimetry/methods , Adult , China , Female , Humans , Male , Young AdultABSTRACT
OBJECTIVE: To study the controlling effect of selenoprotein on blood glucose, Ca2+ transfer and NO system in diabetic mice. METHODS: Male Kunming mice of (20.3 +/- 1.7) g body weight were injected 200 mg/kg bw, 2% alloxan in abdomen to make diabetic model (DM), and were randomly divided into six groups: normal control group (I), normal + selenoprotein group(Se 100 microg/kg bw) (lI), DM control group (III), DM + lower dose selenoprotein group(Se 100 microg/kg bw) (IV), DM + higher dose selenoprotein group (Se 300 microg/kg bw) (V), DM + Na2SeO3 group (Se 100 microg/kg bw) (VI). RESULTS: The level of blood glucose in V group [(20.4 +/- 6.3 mmol/L] were significantly lower than lII group(45.3 +/- 3.3) mmol/L P < 0.05. The activity of Ca(2+) -ATPase of kidney in V group (0.90 +/- 0.5 micromol/ (h x mg prot) is significantly higher than III group [(0.35 +/- 0.1) micromol/(h x mg prot)] (P < 0.05, and the activity of NOS in V group [(25.0 +/- 4.3) U/ml] is significantly lower than III group [(35.2 +/- 4.4) U/ml] (P < 0.05). CONCLUSION: Selenoprotein that supplemented selenium doseis 300 microg Se/kg weight could significantly decrease blood glucose, increase the activities of Ca(2+) -ATPase on kidney and weaken the activities of plasma NOS in diabetic mice.