Objective:To provide references for finding an objective, accurate, highly repeatable and operable measurement method of the resting energy expenditure (REE) for flying personnel by taking the indirect calorimetry measured REE as the gold standard and establishing the formula for predicting REE combined with body composition indexes.Methods:Fourteen normal-size male volunteers were chosen as the subjects. The hypobaric hypoxia environment was constructed in the hypobaric chamber. The subjects were asked to complete single task (flight control) and dual task (flight control and calculation). The body weight, fat free mass (FFM), muscle mass (MM), fat mass (FM), waist-to-hip ratio (WHR), visceral fat mass (VFM) and body fat percentage (BF%) were directly measured by body composition analyzer. The respiratory frequency (RF), volume of CO 2 (VCO 2), maximal volume of O 2 (VO 2max), volume of tidal (VT), minute ventilation volume (VE), metablic equivalent (MET), REE and REE/kg/d were measured by gas metabolizer. The correlation between REE and body composition indexes was analyzed and a linear regression equation was obtained. Results:In the simulated hypobaric hypoxia environment, the RF, VCO 2, VO 2max, VE, VT, REE, REE/kg/d, MET and heart rate of the subjects increased slightly in the dual task, but there were no significant differences between the dual task and the single task (all P>0.05). REE was positively correlated with FFM and MM ( r=0.566, 0.570, P=0.035, 0.033), but not with height, FM and heart rate (all P>0.05). The prediction formula of REE in hypobaric hypoxia environment was Model A: REE=60.34×MM-1 121 ( r=0.570, P=0.033), or Model B: REE=55.34×FFM-1 073 ( r=0.566, P=0.035). There was a positive correlation between the predicted REE and the measured REE ( r=0.570, P=0.033) for Model A, and the error value was (0.032±358.170) kcal/d, P=1.00>0.05. Conclusions:FFM and MM are the main determinants of REE in normal-size subjects under hypobaric hypoxia environment. Either MM or FFM shows a good prediction effect to REE.

Objective:To provide references for finding an objective, accurate, highly repeatable and operable measurement method of the resting energy expenditure (REE) for flying personnel by taking the indirect calorimetry measured REE as the gold standard and establishing the formula for predicting REE combined with body composition indexes.Methods:Fourteen normal-size male volunteers were chosen as the subjects. The hypobaric hypoxia environment was constructed in the hypobaric chamber. The subjects were asked to complete single task (flight control) and dual task (flight control and calculation). The body weight, fat free mass (FFM), muscle mass (MM), fat mass (FM), waist-to-hip ratio (WHR), visceral fat mass (VFM) and body fat percentage (BF%) were directly measured by body composition analyzer. The respiratory frequency (RF), volume of CO 2 (VCO 2), maximal volume of O 2 (VO 2max), volume of tidal (VT), minute ventilation volume (VE), metablic equivalent (MET), REE and REE/kg/d were measured by gas metabolizer. The correlation between REE and body composition indexes was analyzed and a linear regression equation was obtained. Results:In the simulated hypobaric hypoxia environment, the RF, VCO 2, VO 2max, VE, VT, REE, REE/kg/d, MET and heart rate of the subjects increased slightly in the dual task, but there were no significant differences between the dual task and the single task (all P>0.05). REE was positively correlated with FFM and MM ( r=0.566, 0.570, P=0.035, 0.033), but not with height, FM and heart rate (all P>0.05). The prediction formula of REE in hypobaric hypoxia environment was Model A: REE=60.34×MM-1 121 ( r=0.570, P=0.033), or Model B: REE=55.34×FFM-1 073 ( r=0.566, P=0.035). There was a positive correlation between the predicted REE and the measured REE ( r=0.570, P=0.033) for Model A, and the error value was (0.032±358.170) kcal/d, P=1.00>0.05. Conclusions:FFM and MM are the main determinants of REE in normal-size subjects under hypobaric hypoxia environment. Either MM or FFM shows a good prediction effect to REE.

Objective To investigate current dietary and dyslipidemia status of air force pilots.Methods Energy expenditure was calculated by using daily-activity-recording method.Dietary survey was performed through weighing method.Body measurements were carried out according to military criteria.Double agent enzymic method was used to detect blood lipid profiles.The results were compared in 1997 and 1982.t or x2 test was used for data analysis.Results Excessive energy consumption and highprotein and fat or low-carbohydrate intake was found in the participants.Energy from fat or carbohydrate accounted for 47.3％ and 37.9％,respectively.Obesity and overweight was found in 20.8％ air force pilots,and hypertriglyceridemia and hypercholesterolemia occurred in 47.9％ and 17.7％,respectively.Conclusion Dietary pattern and energy metabolism are inappropriate in air force pilots as a result of dyslipidemia.

Objective To explore the expression of cyclooxygenase-1 (COX-1) in cervical carcinoma and its significance. Methods The pathological specimens were collected from 62 female patients, who were admitted to 307 Hospital of PLA from Jan. 1999 to Mar. 2005, including 31 cases of cervical carcinomas, 15 cases of cervical intraepithelial neoplasia and 16 cases of normal cervix. Surgery or biopsy was performed. Expression of COX-1 was detected by immunohistochemistry, and the relationship between COX-1 and clinicopathological feature was analyzed. Results The major sites of COX-1 expression were localized in cytoplasm, and next in cell membrane. Strongly positive expression of COX-1 was observed in cervical carcinomas, and weakly positive expression of COX-1 in cervical intra-epithelial neoplasia, with positive rates of 81% and 13%, respectively. There was no COX-1 expression in normal cervix. A significant difference was observed among these specimens. No obvious correlation was found between COX-1 expression and patient's age, tumor differentiation degree snd clinical stages. Conclusion Expression of COX-1 may serve as an auxiliary parameter for diagnosis, therapeutic scheme option, and prognosis of patients with cervical carcinoma.