This study was conducted to identify the determinants of regional body fat distribution of obesity(upper body obesity and lower body obesity) for adolescents. The macronutrient consumption pattern utilized the most important variables to test for potential determinants. A total of 726 adolescents living in rural areas in Korea had been observed for four years from 1992 to 1996 about their diet, sexual maturation, serum components and physical growth. The study design was similar to that of a case control study. Logistic regression analysis were used as an analytical method to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the determinants of upper body obesity and lower body obesity. Odd ratios were estimated from the regression to identify the risk factors. Fat consumption pattern was the most frequent one among the three macronutrient consumption pattern of carbohydrate, fat and protein. Prevalence of obesity for the subjects was 9.5%. Prevalence of upper body obesity was higher in malestudents than in female students. On the other had, prevalence of lower body obesity was higher in females. The results of the logicstic regression analysis showed that the risk factor for upper body obesity was sexual maturity rather than dietary factors. None of the factors included in the analysis for lower body obesity appear to be the risk factor. The result may suggest that to develop a determinant model for obesity of adolescents, the model should include a wider range of variables other than diet, sexual maturity and changes in blood serum.
There has been no genome-wide association study (GWAS) for macronutrient intake as a quantitative trait. To explore genetic loci associated with total calorie and macronutrient intake, genome-wide association data of autosomal single nucleotide polymorphisms (SNPs) from Korean adults were analyzed. We conducted a GWAS in 3,690 men and women aged 40 to 60 years from an urban population-based cohort. At the baseline examination (June 18, 2001 through January 29, 2003), DNA samples of the study subjects were collected and analyzed for genotyping. The information of average daily consumption of total calorie, carbohydrate, protein, and fat was obtained from a semi-quantitative food frequency questionnaire and transformed by natural logarithm for analyses after adjustment of calorie intake. Using multivariate linear regression analysis adjusted for age, sex, and height, we tested for 352,021 SNPs and found weak associations, which do not reach genome-wide association significance, with calorie and macronutrient intake. However, a number of SNPs were found to have potential associations with macronutrient intake; in particular, signals in SORBS1 and those in PRKCB1 were likely associated with carbohydrate and fat intake, respectively. We observed an inverse association between the minor allele of the SNPs in these genes and the amount of consumption of carbohydrate or fat. Our GWAS identified loci and minor alleles weakly associated with macronutrient intake. Because SORBS1 and PRKCB1 are reportedly associated with the metabolism of glucose and lipid as well as with obesity-related diseases, further investigations on biological and functional roles of polymorphism of these genes in the relation to macronutrient intake are warranted.
The purpose of this study was to examine changes in energy and macronutrient intakes during the premenstrual(days -10-1) and postmenstrual(days 5-14) phases. Thirty-two college female students recorded their food consumption and dietary patterns over 5 weeks from September 8 to October 12, 1997. Mean daily energy and macronutrient intakes and the percentage of energy intake from protein and carbohydrate were relatively consistent over the two menstrual cycle phases, but the energy intake from fat increased 1%(P<0.05)during the postmenstrual phase. Two different dietary patterns were identified by the shifts in energy intake between postmenstrual and premenstrual phases. Seventy five percent of subjects revealed a consistent pattern with the results of previous studies investigating food intake over the menstrual cycle, in which the premenstrual phase is associated with an increment in energy, carbohydrate, and protein intake. In contrast, energy, protein, and fat intakes increased during the postmenstrual phase in 25% of the subjects. We conclude that cyclical fluctuations in energy and macronutrient intakes occur in both postmenstrual and premenstrual dietary pattern groups across the two menstrual phased with the opposite directions.
Objectives: The objective of this study was to evaluate the thermic effects, the macronutrient oxidation rates and the satiety of medium-chain triglycerides (MCT). Methods: The thermic effects of two meals containing MCT or long-chain triglycerides (LCT) were compared in ten healthy men (mean age $24.4{\pm}2.9years$). Energy content of the meal was 30% of resting metabolic rate of each subject. Metabolic rate and macronutrient oxidation rate were measured before the meals and for 6 hours after the meals by indirect calorimetry. Satiety was estimated by using visual analogue scales (VAS) at 8 times (before the meal and for 6 hours after meal). Results: Total thermic effect of MCT meal (42.8 kcal, 8.0% of energy intake) was significantly higher than that (26.8 kcal, 5.1% of energy intake) of the LCT meal. Mean postprandial oxygen consumption was also significantly different between the two types of meals (MCT meal: $0.29{\pm}0.35L/min$, LCT meal: $0.28{\pm}0.27L/min$). There were no significant differences in total postprandial carbohydrate and fat oxidation rates between the two meals. However, from 30 to 120 minutes after consumption of meals, the fat oxidation rate of MCT meal was significantly higher than that of the LCT meal. Comparison of satiety values (hunger, fullness and appetite) between the two meals showed that MCT meal maintained satiety for a longer time than the LCT meal. Conclusions: This study showed the possibility that long-term substitution of MCT for LCT would produce weight loss if energy intake remained constant.
The effect of carbohydrates, fat and protein consumption on the blood pressure of adolescents was investigated from the cross sectional data. The two major areas of inquiry were : 1)measuring the variation of blood pressure at various levels of macronutient intake. 2)measuring the relative importance between the factor of nutrient intake and physical growth. A total of 726 students(341 boys and 385 girls) in the first grade of middle school in Kangwha country were studied for their dietary consumption and physical growth as well as blood pressure. Multiple regression analysis was used as the analytical method to identify the relative importance between the factors. Besides the macronutrient consumption, other nutrients such as vitamin and mineral intakes were included in the regression model. The results showed a variation of blood pressure by macronutrient intake level was in consistant both in blood pressure and by gender. Systolic and diastolic blood pressure decreased with increasing protein intake for girls(p<0.05). However, it was not observed in the case of boys. The systolic blood pressure of boys showed a tendency to decrease with fat intake increase, while their diastolic blood pressure showed the opposite trend. Results of the regression analysis showed that physical growth was a more influential factor than nutrition on blood pressure for both sexes. This could imply that the dietary hypertension factors observed in adults may not be operative generally in a population with normotensive blood pressure during growth.
Objectives: The associations between the eating behavior and energy and macronutrient intake from meals and snacks consumed during different times of the day across the menstrual cycle were investigated in 74 healthy female college students. Methods: A 9-day food record was collected during the last 3 days before menstrual onset (phase 1) and the first 3 days after menstrual onset (phase 2) and from the 4th to the 6th day after menstrual onset (phase 3), respectively. Anthropometry was assessed and eating behaviors were measured using the Dutch Eating Behavior Questionnaire (DEBQ). Results: External eating was the most prevalent type of eating behavior, followed by restrained eating and emotional eating. Restrained eating was positively associated with energy, carbohydrate and lipid intake at the breakfast and midmorning snack during phase 3. However, emotional eating was also positively related to energy and macronutrient intake at the dinner and after-dinner snack during phase 1 and phase 3, with higher level detected in the phase 1. The association of emotional eating with the snack consumption was highest in phase 1. External eating was positively associated with energy and macronutrient intakes at the dinner and after-dinner snack across the three phases, the highest level being phase 1. In addition, restrained eating was positively associated with the weight, body mass index(BMI), fat mass, waist and hip girth of the subjects. Conclusions: Eating behaviors varied with regard to meals and snacks consumed during different times of the day across the three menstrual phases. Dinner and afterdinner snack consumption in premenstrual phase could be considered as a time when women are more prone to overconsumption and uncontrolled eating.
The purpose of this study was to investigate the effects of gender on the thermic effect of food and substrate oxidation rate during 5 hours after a mixed meal. Twenty healthy college students (10 males and 10 females) aged 20-26 years participated in this study. The energy contents of the experimental diets were 775 kcal and 627 kcal for males and females respectively, which were 30% of individual energy requirements and were composed of 65/15/20% as the proportion of carbohydrate/protein/fat. Resting and postprandial energy expenditure and substrate oxidation rates were measured with indirect calorimetry in the fasting state and every 30 min for 5 hours after meal consumption. Thermic effects of food expressed as ${\Delta}AUC$ and TEF% were not significantly different between males and females. However, TEF% adjusted for body weight and fat-free mass in males (0.095% and 0.120%) were significantly lower than those in females (0.152% and 0.213%)(p < 0.05). The total amount of carbohydrate oxidized was significantly lower in males than that in females (58.6 vs. 86.6 mg/kcal energy intake/5 h, p < 0.05). In contrast, the total amount of fat oxidized was significantly higher in males than that in females after the meal (32.9 vs. 17.2 mg/kcal energy intake/5 h, p < 0.01). These results indicate that gender affects the thermic effects of food and the substrate oxidation rate after a meal. The results show that males use relatively less carbohydrate and more fat as an energy source after a meal than that of females.
The aim of this study was to provide descriptive information on meal and snack patterns and to investigate snacks in relation to energy intake and food choice according to the meal patterns of employed people in Korea. 683 employed people (292 males, 391 females) were interviewed to collect one day dietary data by using 24-h dietary recall. A recorded day was divided into 3 meal and 3 snack periods by the respondent's criteria and the time of consumption. To analyze the eating pattern participants were divided as the more frequent snack eaters (MFSE) and the less frequent snack eaters (LFSE). They were also categorized into 6 groups according to the frequency of all eating occasions. The common meal pattern in nearly half of the subjects (47.6%) was composed of three meals plus one or two snacks per day. A trend of an increasing the number of snacks in between main meals emerges, although the conventional meal pattern is still retained in most employed Korean adults. Women, aged 30-39, and urban residents, had a higher number of being MFSE than LFSE. Increasing eating occasions was associated with higher energy, protein, and carbohydrate intakes, with the exception of fat intakes. 16.8% of the total daily energy intake came from snack consumption, while the 3 main meals contributed 83.2%. Energy and macronutrient intakes from snacks in the MFSE were significantly higher than the LFSE. Instant coffee was the most popular snack in the morning and afternoon, whereas heavy snacks and alcohol were more frequently consumed by both of the meal skipper groups ($\leq$2M+2,3S and $\leq$2M+0,1S) in the evening. In conclusion, meal pattern is changing to reflect an increase of more snacks between the three main meals. Meal and snack patterns may be markers for the energy and macronutrient intakes of employed people in Korea.
BACKGROUND/OBJECTIVES: Since gain or loss of skeletal muscle mass is a gradual event and occurs due to a combination of lifestyle factors, assessment of dietary factors related to skeletal muscle is complicated. The aim of this study was to investigate the changes in total energy intake according to the level of skeletal muscle mass. SUBJECTS/METHODS: A total of 8,165 subjects ${\geq}30years$ of age from the Korean National Health and Nutrition Examination Surveys (KNHANES) 2008-2011 were included in the analysis, and multivariate-adjusted regression analyses were performed to analyze the association of the quartiles of sarcopenia index (SI) with energy intake of the study population after adjusting for age and metabolic parameters. RESULTS: The increase in SI quartile was in proportion to the gradual decrease in systemic lipids and the anthropometric measurement of fat accumulation (P < 0.001). Subjects in higher SI quartiles tended to consume more total energy and energy-producing nutrients than those in lower quartiles (P < 0.001). After age, body weight, alcohol consumption, and metabolic parameters were adjusted in the analysis, total energy intake gradually increased according to the increase in SI quartile, and the association between total energy intake and SI was more pronounced in men. However, the risk (odd ratio) of having a low SI was not affected by any single macronutrient intake. CONCLUSION: In this study, total energy intake was positively associated with SI and relative skeletal mass in both men and women. However, no significant association or a weak association was observed between any single macronutrient intake and skeletal muscle mass. The data indicated that acquiring more energy intake within the normal range of energy consumption may help to maintain skeletal muscle mass.
Underreporting patterns by the level of obesity have not been fully assessed yet. The purpose of this study was to examine the differential underreporting patterns on cardiovascular risk factor, macronutrient, and food group intakes by the level of Body Mass Index (BMI). We analyzed cross-sectional baseline nutritional survey data from the population-based longitudinal study, the Healthy Women Study (HWS) cohort. Study subjects included 538 healthy premenopausal women participating in the HWS. Nutrient and food group intakes were assessed by the one-day 24-hour dietary recall and a semi-quantitative food frequency questionnaire, respectively. The ratio of reported energy intake (EI) to estimated basal metabolic rate (BMR) was used as a measure of relative energy reporting status and categorized into tertiles. Overweight group ($BMI{\geq}25kg/m^2$) had a higher ratio of EI to BMR (EI/BMR) than normal weight group ($BMI<25kg/m^2$). Normal weight and overweight groups showed similar patterns in cardiovascular risk factors, nutrient intake, and food group intake by the EI/BMR. Fat and saturated fat intakes as a nutrient density were positively associated with the EI/BMR. Proportion of women who reported higher consumption (${\geq}4\;times/wk$) of sugar/candy, cream and red meat groups was greater in higher tertiles of the EI/BMR in both BMI groups. Our findings suggest similar patterns of underreporting of cardiovascular risk factors, and macronutrient and food group intakes in both normal and overweight women.
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