ABSTRACT
Objective To explore a method of subsection adjustment for the proportion of three capacity nutrients in patients with metabolic syndrome (MS).Methods Totally 334 MS patients who were diagnosed in the physical examination center and the department of endocrinology and nutrition of Xi'an Central Hospital Affiliated to Xi'an Jiaotong University of School of Medicine were enrolled in this study.According to calculator random digital method,the patients were divided into intervention group (n=168) and the control group (n=166).The energy of two groups were calculated according to the following formula,y =13.5-0.025x1 + 0.215x2-0.006x3+0.342x4-0.268x5+0.623x6 (x1:age,x2:activity intensity index,x3:waist circumference,x4:environmental temperature,x5:BMI,x6:sex).The limit of daily energy was set to 5.02-7.53 MJ.The proportion of the three major nutrients for energy was adjusted of different energy segments of intervention group.When the daily energy was 5.02 MJ,the protein energy ratio was 30％,and the energy increased by 0.42 MJ per time while the protein energy supply ratio was reduced by 2.5％.The energy ratio of carbohydrate was 40％,and the energy increased 0.42 MJ per time while the energy ratio increased by 2.5％.The energy ratio of fat was 30％ on various stages of energy supply.The energy proportions of the three major nutrients in the control group were as follows:protein 15％,fat 25％,and carbohydrate 60％.Results After the intervention by 6 months,the 2-hour postprandial blood glucose of intervention group decreased from (9.22±5.57) mmol/L to (6.05±4.68) mmol/L,the hemoglobin A 1 c decreased from (6.79 ± 1.12) ％ to (5.56± 1.32) ％,and the triglyceride decreased from (3.14±1.73) mmol/L to (1.72±1.17) mmol/L.There was significant difference compared with those in control group (P =0.000,0.027,0.034).Conclusion The proportions of the three major nutrients in MS can remarkably improve the glucose and lipid metabolism in MS patients.
ABSTRACT
ObjectiveTo study the characteristics in negative energy balance in different-aged patients with metabolic syndrome (MS) and come out with nursing countermeasures.Methods Twenty-four hour dietary data reviewing and the international physical activity questionnaire were used to investigate energy intake and consumption among 384 MS patients.The fat content,fat percentage and lean body mass were measured by the human body composition analyzer.Body mass index (BMI),waist/height,fat percentage,lean body mass,energy intake and energy consumption were compared between different ages and sexes.Results In the group aged over 51 years,the waist/height of female MS patients was significantly smaller than their male counterparts (P<0.05).For all groups of different ages,the percentage of fat in the female patients was significantly larger,their lean body mass was less(P<0.01), their intake of energy was significantly lower than that of the males (P<0.05).The intake of energy among the male patients at the group aged 21~30was significantly larger than the males of other age groups and so it was with the energy intake of the males aged 21-70 years as compared to the males aged 71~80 years (P<0.05).Conclusion Education on disease knowledge should be strengthened among healthy people so as to realize the negative energy balance based on the rate of waist/height,body composition,energy intake and energy consumption,which is of great significance for the prevention and control of metabolic syndromes.
ABSTRACT
The present study was designed to develop a novel method of energy calculation for controlling energetic intake in patients with the metabolic syndrome. Demographics and dietary data were recorded for 2582 obese subjects. Nutritional education was applied to all the patients. One year later, the data on age, sex, activity intensity coefficient, waistline, environmental temperature and BMI in subjects who lost ≥ 5% body weight were entered into a multivariate logistic regression analysis model. Energy requirement was calculated from the results of multivariate logistic regression. Four hundred and thirty-four metabolic syndrome patients were then randomly divided into the treated group (216) and the control group (218). The energetic intake in the experimental group was controlled based on the new energy requirement model. The traditional energy exchange method was used in the control group. The independent factors predicting metabolic syndrome prognosis, such as age, sex, activity intensity coefficient, waistline, environmental temperature and BMI, were identified by multivariate logistic regression analysis. The energy requirement model was then constructed by logistic regression analysis. After 6 months of energetic intake control based on the new model, the parameters of the experimental group were significantly different from those of the controls (all P < 0·05): waistline, 89·65 (SD 5·54) v. 91·97 (SD 4·78) cm; BMI, 24·67 (SD 3·54) v. 25·87 (SD 2·65) kg/m2; fasting blood glucose, 6·9 (SD 3·6) v. 8·7 (SD 4·6) mmol/l; 2 h PG, 8·7 (SD 5·7) v. 10·7 (SD 4·5) mmol/l; HbA1c, 7·7 (SD 1·6) v. 8·9 (SD 2·6) %; homoeostasis model insulin resistance index, 3·14 (SD 1·62) v. 4·32 (SD 2·25). The new energy requirement model can effectively improve the clinical outcomes of controlling energetic intake in metabolic syndrome patients.
