• Asian Pacific Journal of Cancer Prevention
• /
• 제14권9호
• /
• pp.5193-5198
• /
• 2013

The glycemic index (GI) and glycemic load (GL) have been considered risk factors for breast cancer, but association studies of breast cancer risk using simple GI and GL might be affected by confounding effects of the overall diet. A total of 357 cases and 357 age-matched controls were enrolled, and dietary intake was assessed using a validated food frequency questionnaire (FFQ) with 103 food items. GI and GL dietary patterns were derived by reduced rank regression (RRR) method. The GI and GL pattern scores were positively associated with breast cancer risk among postmenopausal women [OR (95%CI): 3.31 (1.06-10.39), p for trend=0.031; 9.24 (2.93-29.14), p for trend<0.001, respectively], while the GI pattern showed no statistically significant effects on breast cancer risk, and the GL pattern was only marginally significant, among premenopausal women (p for trend=0.043). The GI and GL pattern scores were positively associated with the risk of breast cancer in subgroups defined by hormone receptor status in postmenopausal women. The GI and GL patterns based on all food items consumed were positively associated with breast cancer.

• 대한지역사회영양학회지
• /
• 제17권4호
• /
• pp.429-439
• /
• 2012

The purpose of this study was to evaluate nutrients intakes, glycemic index (GI), glycemic load (GL) according to body mass index (BMI) in female college students (n = 320). The study subjects were divided into 3 groups based on their body mass index, an underweight group (BMI < 18.5 kg/$m^2$, n = 55), a normal group (18.5 kg/$m^2$ ${\leq}$ < 23 kg/$m^2$, n = 231), and an overweight group (23 kg/$m^2$ ${\leq}$ BMI < 25 kg/$m^2$, n = 34). The food and nutrition intake data obtained by administering a 3-day food record and were analyzed by using Can pro 3.0 software. Anthropometric measurements were collected from each subject. Body weights and BMI of the underweight group were 45.9 kg, 17.6 kg/$m^2$, those of the normal group were 53.8 kg, 20.5 kg/$m^2$, and those of overweight group were 62.6 kg, 23.8 kg/$m^2$, respectively. The mean daily dietary GI of underweight, normal and overweight groups was 66.2, 65.8 and 66.5, respectively. These differences were statistically non-significant. The mean daily dietary GL of underweight, normal and overweight groups were 159.2, 149.4, and 148.9, respectively. The major food source of dietary GI and GL was rice in the three groups. Dietary GI and GL were not significantly correlated with obesity when adjusted for energy, carbohydrate and dietary fiber intake.

• Journal of Nutrition and Health
• /
• 제52권4호
• /
• pp.354-368
• /
• 2019

본 연구는 2013 ~ 2016년 국민건강영양조사 자료를 이용하여 우리나라 만 19세 이상 성인의 식사내 다량영양소 및 식이섬유 구성성분을 이용하여 혼합식 섭취에 따른 혈당반응인 당흡수지수를 추정하였고, 1일 총 당흡수지수를 이용하여 한국 성인의 영양소 및 식품군 섭취량을 평가하고, 당흡수지수와 대사질환 지표와의 연관성을 확인하였다. 당흡수지수는 탄수화물 및 식이섬유 섭취량과는 양의 상관관계를 나타냈고, 지방 및 단백질 섭취량과는 음의 상관관계를 나타냈다. 당흡수지수가 증가할수록 탄수화물 섭취량이 두드러지게 증가하였으나, 탄수화물에 비해 식이섬유가 차지하는 비율은 현저히 감소하였다. 또한, 연구대상자의 곡류 및 과일류 섭취량은 당흡수지수가 증가함에 따라 유의하게 증가한 반면, 고기 생선 달걀 콩류의 섭취량은 당흡수지수가 증가함에 따라 유의하게 감소하였다. 당흡수지수는 이상지질혈증 위험도와 양의 연관성을 나타냈으며, 당흡수지수가 가장 높은 그룹의 남성은 가장 낮은 그룹의 남성에 비해 고콜레스테롤혈증 교차비가 유의하게 높았다. 이상과 같은 연구결과를 종합하여 보았을 때, 한국 성인의 혼합식 섭취에 기초한 당흡수지수는 다량 영양소 및 식이섬유의 섭취량을 함께 반영하므로 기존의 탄수화물 섭취량만을 평가한 지표에 비해 전반적인 식사계획 및 평가에 적합한 지표인 것으로 사료된다. 일부 대사질환 지표가 당흡수지수와 유의한 연관성을 나타냈으므로, 향후 식사의 질과 대사질환 지표와의 관련성을 고려한 당흡수지수의 적절한 수준이 모색된다면 식이 조절을 위한 식단계획, 영양교육 및 식품표시에 유용한 도구로 사용될 수 있을 것으로 기대된다.

• 동아시아식생활학회지
• /
• 제21권2호
• /
• pp.174-184
• /
• 2011

The purpose of this study was to evaluate nutrients intakes, glycemic index (GI), glycemic load (GL) according to obesity index in elementary school students. The study subjects included 229 elementary school students (boys=108, girls=121) who were divided into 3 groups consisting of an underweight group (obesity index<-10%, n=58), a normal weight group (10%${\leq}$ obesity index<10%, n=130) and an overweight group (obesity index${\geq}$10%, n=41) by their obesity index. The nutrient and food intakes data obtained by a 3-day food record were analyzed. Daily dietary GI and GL values were calculated from the 3-day food record. The average age of the subjects was 11.9 years. The mean daily energy intake was 2,186.8 kcal in the underweight group, 2,123.5 kcal in the normal weight group, and 2,174.2 kcal in the overweight group. The intakes of calcium and animal calcium per 1,000 kcal in the overweight group were significantly lower than in the underweight and normal weight groups (p<0.01, p<0.05), and fruit, egg and milk intakes in the overweight group were lower than those in the underweight group (p<0.05, p<0.05, p<0.05). The mean daily dietary GI of the underweight, normal weight, and overweight groups were 67.7, 68.4 and 69.5, respectively (p<0.05). The mean daily dietary GL of the underweight, normal weight, and overweight groups were 212.8, 208.1 and 213.3, respectively. The major food source of dietary GI and GL in the three groups was rice. Other major food sources of dietary GI were croquettes, hand-rolled noddle soups, instant noddles, milk, and rice cake. Dietary GI was not significantly correlated with weight, obesity or body mass index, when adjusted for energy, carbohydrate, and dietary fiber. However, GL adjusted to energy, carbohydrate and dietary fiber tended to correlate with obesity index (r=0.126, p=0.059). These results suggest that dietary GI and GL have possibility affecting obesity-related indicators in elementary school students.

• Nutrition Research and Practice
• /
• 제13권2호
• /
• pp.126-133
• /
• 2019

BACKGROUND/OBJECTIVES: The glycemic index (GI) is a measure of the postprandial glucose response (PPGR) to food items, and glycemic load (GL) is a measure of the PPGR to the diet. For those who need to maintain a healthy diet, it is beneficial to regulate appropriate levels of blood glucose. In reality, what influences the meal GI or GL depends on the macronutrient composition and the physical chemistry reactions in vivo. Thus, we investigated whether different macronutrients in a meal significantly affect the PPGR and the validity of calculated GI and GL values for mixed meals. SUBJECTS/METHODS: 12 healthy subjects (6 male, 6 female) were recruited at a campus setting, and subjects consumed a total of 6 test meals one by one, each morning between 8:00 and 8:30 am after 12 h of fasting. PPGR was measured after each consumed meal and serial finger pricks were performed at indicated times. Test meals included 1) 68 g oral glucose, 2) 210 g rice, 3) rice plus 170 g egg white (RE), 4) rice plus 200 g bean sprouts (RS), 5) rice plus 10 g oil (RO), and 6) rice plus, egg white, bean sprouts, and oil (RESO). The incremental area under the curve (iAUC) was calculated to assess the PPGR. Mixed meal GI and GL values were calculated based on the nutrients the subjects consumed in each of the test meals. RESULTS: The iAUC for all meals containing two macronutrients (RS, RO, or RE) were not significantly different from the rice iAUC, whereas, the RESO iAUC ($2,237.5{\pm}264.9$) was significantly lower (P < 0.05). The RESO meal's calculated GI and GL values were different from the actual GI and GL values measured from the study subjects (P < 0.05). CONCLUSIONS: The mixed meal containing three macronutrients (RESO) decreased the PPGR in healthy individuals, leading to significantly lower actual GI and GL values than those derived by nutrient-based calculations. Thus, consuming various macronutrient containing meals is beneficial in regulating PPGR.

• Journal of Nutrition and Health
• /
• 제43권5호
• /
• pp.500-512
• /
• 2010

The relationship between food and nutrient intake, glycemic index (GI), glycemic load (GL), and body weight was investigated with high school girls residing in Seoul. As subjects, 159 girls were divided into a normal weight (NW) group (18.5 kg/$m^2$ $\leq$ BMI < 23 kg/$m^2$, n = 110) and an overweight (OW) group (BMI $\geq$ 23kg/$m^2$, n = 49) by body mass index (BMI). The food and nutrient intake data obtained by the 3-day food record were analyzed by Can pro 3.0 software. Anthropometric measurements were collected from each subject. Daily dietary GI (DGI) and dietary GL (DGL) were calculated from the 3-day food record. Body weights and BMI of NW were 52.4 kg and 20.4 kg/$m^2$ and those of OW were 65.2 kg and 25.4 kg/$m^2$, respectively. Total food, animal food, and other food intakes of NW were higher than those of OW, and vegetable food intakes of NW were lower than those of OW. Sugars intake of NW was significantly higher than OW. Nutrient intakes were not different between the two groups. Dietary fiber, calcium, and folate intakes of NW and OW were under 65% of the dietary reference intakes (DRIs). Major food sources of energy intake for both groups were rice, pizza, ice cream, pork, instant noodle, and chicken. Mean adequacy ratio (MAR), an index of overall dietary quality, was higher in NW (0.82) than in OW (0.80). Mean daily DGI of NW and OW was 66.5 and 66.4, respectively. Mean daily DGL of NW and OW was higher in NW (162.0) than in OW (155.9). DGI and DGL adjusted to energy intake were not significantly correlated with anthropometric data.

• Journal of Nutrition and Health
• /
• 제41권7호
• /
• pp.645-657
• /
• 2008

This study was conducted to study the relationship between food intakes, glycemic index (GI), glycemic load (GL), and body weight with high school boys residing in Seoul. The subjects of 329 boys were divided into normal weight group (BMI < $23\;kg/m^2$, n = 212) and overweight group (BMI ${\geq}\;23\;kg/m^2$, n = 117) by body mass index (BMI). The food intakes data obtained by the 3-day food record were analyzed by Can pro 3.0 software. Anthropometric measurements and physical activities were collected from each subject. Daily dietary glycemic index (DGI) and dietary glycemic load (DGL) were calculated from the 3-day food record. Body weights and BMI of normal weight group were 58.8 kg and $19.9\;kg/m^2$ and those of overweight group were 79.2 kg and $26.8\;kg/m^2$, which were significantly different between two groups (p < 0.05). Total food and animal food intakes of normal weight group were significantly higher than overweight group (p < 0.05), and vegetable food and other food intakes of normal weight group showed higher than overweight group. All nutrient intakes of normal weight group were higher than overweight group. Dietary fiber, calcium, potassium and folate intakes of normal weight group and overweight group were under 65% of the dietary reference intakes (DRIs). Major food sources of energy intake for both groups were rice, pork and instant noodle in order. Mean adequacy ratio (MAR), an index of overall dietary quality were 0.83 in normal weight group and 0.79 in overweight group, which showed significantly higher in normal weight group than overweight group (p < 0.05). Mean daily dietary GI of normal weight group and overweight group were 67.7 and 68.2, respectively. Mean daily dietary GL of normal weight group and overweight group were 214.6 and 202.7, respectively, and which was significantly different between the two groups (p < 0.05). Major food sources contributed to DGI and DGL were rice ($\geq$ 55%) in both groups. DGI and DGL were not significantly correlated with anthropometric data. Activity adjusted to energy intake was negatively correlated with percentage of body fat (r = -0.1308, p < 0.01) and that was positively correlated with height (r = 0.1227, p < 0.05) and lean body mass (r = 0.1351, p < 0.05).

• Journal of Nutrition and Health
• /
• 제42권7호
• /
• pp.622-630
• /
• 2009

The purpose of this study was to establish an association between glycemic index (GI), glycemic load (GL), dietary carbohydrates and diabetes with the context of the current population dietary practice in Korea. The subjects of 3,389 adults (male 1,430, female 1,959) were divided into normal (serum fasting glucose < 100 mg/dL), impaired glucose tolerance (100 ${\leq}$ serum fasting glucose < 126 mg/dL), diabetes (serum fasting glucose > 126 mg/dL) by serum fasting glucose. Anthropometric and hematologic factors, and nutrient intakes, dietary glycemic index (DGI), dietary glycemic load (DGL) were assessed. Multiple logistic regression model was used to determine the odds ratios (ORs) and 95% confidence intervals for relationship of DGI, DGL, carbohydrates intakes, and diabetes. DGI and DGL were not significantly correlated with impaired glucose tolerance and diabetes. However, the risk of impaired glucose tolerance and diabetes showed a tendency to increase as increase of DGI after multivariate adjustment (age, education, income, region area, diabetes family history, smoking, drinking, exercise, energy intake) in male. The risk of impaired glucose tolerance and diabetes showed a tendency to increase in the DGI 71.1-74.8 after multivariate adjustment in female. DGL was inversely related to impaired glucose tolerance and diabetes in male. In female, however, DGL was positively related to impaired glucose tolerance and diabetes. In particular, the risk of diabetes increased positively in level of DGL 260.5, and remained after multivariate adjustment (Q5 vs Q1：2.38, 0.87-6.48). When percent energy intakes from carbohydrates were more than 70%, the risk of impaired glucose tolerance and diabetes increased in both male and female. In particular, when percent energy intakes from carbohydrates were more than 69.9%, the risk of diabetes increased positively in male (Q4 vs Q1：2.34, 1.16-4.17). In conclusion, above 70% energy intakes from carbohydrates appeared to be a risk factor of diabetes. It seemed that the meal with high GI and GL value must be avoided it. And also, the macronutrients of the meal must be properly balanced. In particular, it may be said that it is a preventive way for treatment of the diabetes to avoid eating carbohydrates of much quantity.

• Journal of Nutrition and Health
• /
• 제53권5호
• /
• pp.464-475
• /
• 2020

본 연구에서는 한국인이 평소 섭취하는 일반식사와 유사한 수준의 당부하량을 가진 high GL 식사와 당부하량이 낮게 설계된 low GL 식사를 섭취한 후 체중, 체지방, 혈압 및 혈액 내 생활습관병 위험 지표 등의 변화를 분석 및 비교하였다. 20대 성인남녀를 대상으로 체중 감량을 위해 wash-out 기간인 중간 2주를 제외하고 개인 필요 열량의 30%를 줄인 low GL 식사와 high GL 식사를 각 2주간 제공하였다. Low GL 식사와 high GL 식사의 효과를 비교한 결과 low GL 식사가 high GL 식사에 비해 체중 (p < 0.001), 체지방량 (p = 0.024), 체질량지수 (p < 0.001)에서 유의적으로 감소량이 더 컸다. 하지만 혈압, 혈액 내 비만 질환 위험 지표에서는 유의한 차이가 없었다. Low GL 식사의 전·후를 비교한 결과 체중, 체지방량, 체질량지수, 체지방률, 이완기 혈압, 중성지방, 총콜레스테롤, HDL-콜레스테롤, LDL-콜레스테롤, 공복혈당, C-peptide HOMA 지수가, high GL 식사에서는 체중, 체지방량, 체질량지수, 총콜레스테롤, HDL-콜레스테롤, 공복혈당, C-peptide, C-peptide HOMA 지수에서 각 식사 전보다 후에 유의적으로 감소되었다. 또한 실험 식사 섭취 전과 섭취 후를 비교한 결과 체중, 체지방량, 체질량지수, 체지방률, 혈압 (수축기, 이완기), 총콜레스테롤, HDL-콜레스테롤, LDL-콜레스테롤, 공복혈당, 당화혈색소, C-peptide, C-peptide HOMA 지수가 모두 유의적으로 감소되었다. 본 연구 결과 체중감량 및 생활습관병 위험을 줄이기 위해서는 단순히 섭취 열량을 낮추기보다는 열량과 함께 당부하량을 고려하여 섭취하는 것이 체중을 감소시키는 데에 더 효과적일 것으로 사료된다.

• Journal of Preventive Medicine and Public Health
• /
• 제49권3호
• /
• pp.153-164
• /
• 2016

Objectives: Previous studies have obtained conflicting findings regarding possible associations between indices measuring carbohydrate intake and dyslipidemia, which is an established risk factor of coronary heart disease. In the present study, we examined crosssectional associations between carbohydrate indices, including the dietary glycemic index (GI), glycemic load (GL), total amount of carbohydrates, and the percentage of energy from carbohydrates, and a range of blood lipid parameters. Methods: This study included 1530 participants (554 men and 976 women) from 246 families within the Healthy Twin Study. We analyzed the associations using a generalized linear mixed model to control for familial relationships. Results: Levels of the Apo B were inversely associated with dietary GI, GL, and the amount of carbohydrate intake for men, but these relationships were not significant when fat-adjusted values of the carbohydrate indices were used. Triglyceride levels were positively associated with dietary GI and GL in women, and this pattern was more notable in overweight participants (body mass index [BMI] ${\geq}25kg/m^2$). However, total, low-density lipoprotein and high-density lipoprotein cholesterol levels were not significantly related with carbohydrate intake overall. Conclusions: Of the blood lipid parameters we investigated, only triglyceride levels were positively related with dietary carbohydrate indices among women participants in the Healthy Twin Study, with an interactive role observed for BMI. However, these associations were not observed in men, suggesting that the association between blood lipid levels and carbohydrate intake depends on the type of lipid, specific carbohydrate indices, gender, and BMI.