• Preventive Nutrition and Food Science
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• 제21권3호
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• pp.165-170
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• 2016

Recent trial results suggest that the consumption of a low glycemic index (GI) diet is beneficial in the prevention of high blood glucose levels. Identifying active hypoglycemic substances in ordinary foods could be a significant benefit to the management of blood glucose. It has been hypothesized that noodles with Bombyx mori powder are a low GI food. We evaluated GI and changes in postprandial glucose levels following consumption of those noodles and compared them with those following consumption of plain wheat flour noodles (control) and glucose (reference) in healthy subjects. Thirteen males (age: $34.2{\pm}4.5years$, body mass index: $23.2{\pm}1.1kg/m^2$) consumed 75 g carbohydrate portions of glucose and the 2 kinds of noodle after an overnight fast. Capillary blood was measured at time 0 (fasting), 15, 30, 45, 60, 90, 120, and 180 min from the start of each food intake. The GI values were calculated by taking the ratio of the incremental area under the blood glucose response curve (IAUC) for the noodles and glucose. There was a significant difference in postprandial glucose concentrations at 30 and 45 min between the control noodles and the noodles with Bombyx mori powder: the IAUC and GI for the noodles with Bombyx mori powder were significantly lower than those for glucose and plain wheat flour noodles. The wheat flour noodles with Bombyx mori powder could help prevent an increase in postprandial glucose response and possibly provide an alternative to other carbohydrate staple foods for glycemic management.

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

• Nutrition Research and Practice
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• 제13권2호
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• pp.126-133
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• 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
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• 제42권7호
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• pp.622-630
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• 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.

• 대한지역사회영양학회지
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• 제12권2호
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• pp.189-197
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• 2007

Low glycemic index (GI) foods have been reported to be very important in the control of blood glucose levels in diseases such as diabetes mellitus and obesity, which are becoming more prevalent in Korea. Bread consumption at breakfast and as a snack is also on the rise. To provide low GI alternatives, breads supplemented with dietary fibers-fructooligosaccharide (FOS), ground whole rye, and 2 types of resistance starch (RS2 and RS4)-were developed. The GIs for these breads were evaluated with 13 healthy college students (M6, F7) and sensory tests were done. Four kinds of breads were made through the modification of a basic recipe for white bread (the control, B) as follows: for Bf, the entire amount of sugar was replaced with FOS. For Ryef, 50% of the white wheat flower was replaced with roughly ground wholerye (20 mesh: 12-20 mesh = 1 : 3) in addition to replacing sugar with FOS. For RS2f and RS4f, 20% of the white wheat flower was replaced with RS2 or RS4, in addition to replacing sugar with FOS. The overall preference score of Bf was similar to that of B, while those of Ryef, RS2f and RS4f were lower than that of B, but showed the acceptable degree of the overall preference. The glycemic indices of Ryef and RS2f were 46.1 and 45.9 respectively, which were significantly lower than the GI of B, 67.8. The GIs of Bf and RS4f were, however, 66.7 and 80.5 respectively, showing no significant difference compared to B. The glycemic loads for a 30 g serving were 9.5, 5.9, 6.2, 11.0 and 9.0 for B, Bf, Ryef, RS2f and RS4f, respectively. In conclusion, addition of RS2 or roughly ground whole rye to the dough formula significantly lowered the GI. Since the preferences shown for those two breads were acceptable, they may be recommended as a substitute for white bread fir persons who need blood glucose management. More studies on the bread making process are required to improve preference and acceptance. Although GI lowering effects for F and RS4 were not found in this study, further studies are needed to verify their effects.

• 농촌의학ㆍ지역보건
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• 제39권2호
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• pp.104-115
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• 2014

저당지수 식사는 비만, 당뇨병의 발병 감소 및 심혈관질환의 발생을 감소시키는 효과뿐만 아니라 당뇨병에서 혈당을 개선하는 것으로 알려져 있다. 이런 중요성에 비해 우리나라에서는 일반 성인의 당지수에 대한 인식도를 조사한 연구 자료가 드물다. 이에 본 연구에서는 당지수에 대한 인식도 차이를 정상인과 질환을 가진 환자군으로 나누어 조사하였다. 2011년 9월부터 2012년 2월까지 일개병원 건강증진 센터를 방문한 농촌 지역 사람들을 대상으로 당지수에 대한 인식도와 교육 정도, 교육 참석 의향, 일반적인 지식정도, 저당지수식 실천정도에 관한 내용을 설문지를 이용하여 조사하였다. 당지수에 대한 인식도에서는 당뇨병군이 다른 군에 비해 비교적 잘 알고 있었고, 교육여부도 당뇨병군이 비교적 높게 나타났다. 당지수와 비만, 당뇨병, 고혈압, 고지혈증과의 관련성에 대해 물었을 때도 당뇨병군이 다른 군들에 비해 옳은 응답률의 비율이 높았으나 당지수에 관한 일반적인 지식을 물었을 때는 당뇨병군과 다른 군간의 차이가 없거나 낮은 응답률을 보이기도 하였다. 그러나 전반적으로 당뇨병군을 포함한 모든 군에서 높은 응답률을 보이지 않았다. 평소에 당지수를 고려해서 식사를 하는지와 저당지수식 실천정도를 물었을 때는 당뇨병군이 더 높은 비율을 보였다. 전반적으로 당뇨병군을 제외한 나머지 군에서는 당지수에 대한 인식도가 낮고, 당지수에 대한 올바른 지식이 부족하며 당지수를 고려한 식생활도 잘 이루어지지 않는 것으로 조사되었다. 당뇨병군에서도 저당지수식의 효과 및 당지수 관련 자세한 지식은 부족한 것으로 보였다. 따라서 본 연구를 통해 농촌 지역 당뇨병 환자 뿐 만 아니라 만성질환자나 정상 성인에서도 당지수에 대한 교육이 좀 더 체계적이고 구체적으로 이루어져야 함을 시사하는 바이다.

• Fisheries and Aquatic Sciences
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• 제17권1호
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• pp.47-57
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• 2014

Thai Jasmine rice (Oryza sativa, long grain Indica var.) is popular in southeastern Asia and China due to its non-glutinous, fluffy texture and fragrant smell. However it has a high starch digestibility, which leads to an increased glycemic index (GI). Therefore it may require modified cooking methods for diabetes patients. The objectives of this study were to optimize the ratio of Thai Jasmine rice, sea tangle, and olive oil (CLTR) based on consumers' acceptance. The GI of plain cooked Thai Jasmine rice (CLR) was measured as a control. Sensory evaluation and response surface methodology were used to determine the optimal ratio. Texture analysis and nutritional evaluation were also performed on the optimal recipe of cooked Jasmine rice with sea tangle. A multiple regression equation was developed in quadratic canonical polynomial models. We used 26 trained Chinese panelists in their forties to rate color, flavor, adhesiveness, and glossiness, which we determined were highly correlated with overall acceptability. The optimal CLTR formula was 34.8% rice, 2.8% sea tangle, 61.9% water, and 0.5% olive oil. Compared to CLR, CLTR had a lower hardness, but a higher springiness and cohesiveness. However, CLR and CLTR had the same adhesiveness and chewiness. The addition of sea tangle and olive oil delayed retro-gradation of starch in CLTR and increased total dietary fiber, and protein and ash contents. The degree of gelatinization, and in vitro protein and starch digestibility of CLTR were lower than those of CLR. Based on Wolver' method, the GI of CLTR (52.9, incremental area under the glycemic-response curve, ignoring the area below fasting, as used for calculating the GI [Inc]) was lower compared with that of CLR (70.94, Inc), which indicates that CLTR is effective in decreasing and stabilizing blood glucose level, owing to its lower degree of gelatinization and starch digestibility. Our results show that CLTR can contribute to the development of a healthier meal for families and the fast food industry.

• Journal of Nutrition and Health
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• 제47권4호
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• pp.229-235
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• 2014

본 연구는 자일로올리고당을 설탕에 적용하여 임상시험을 통해 자일로올리고당 첨가량에 따른 설탕의 GI 저감효과와 혈당저감효과를 확인하였다. 건강한 성인 남녀 11명를 대상으로 표준식품인 포도당과 비교하여 분말 자일로올리고당을 14% 함유한 Xylo 14과 분말 자일로올리고당을 20% 함유한 Xylo 20을 섭취 후 표준식품과 비교식품의 IAUC를 통해 GI를 산출한 결과 Xylo 14는 $60.0{\pm}23.5$로 Medium GI 식품으로 나타났으며, Xylo 20은 $54.3{\pm}17.7$로 Low GI 식품으로 나타났다. 순수한 설탕의 GI 68과 비교하면 각각 11.8%와 20.1% 혈당상승 저감효과를 나타낼 수 있었다. AUC는 15~90분까지 모든 구간에서 유의적인 차이 (p < 0.05)를 나타내었다. 따라서 Xylo 14와 Xylo 20은 혈당 저감효과를 나타냄과 동시에 7~10 g 이상 섭취하면 자일로올리고당의 1일 유효섭취량도 만족시킬 수 있으므로 기능성 설탕으로서의 활용이 기대된다.

• Journal of Nutrition and Health
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• 제49권5호
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• pp.295-303
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• 2016

본 연구는 8주 동안 건강한 성인 남녀 11명을 대상으로 자일로바이오스 함유 비율이 다른 설탕 3종의 혈당 반응 및 GI 분석을 통해 혈당 저감 효과를 확인하였다. XB 7 (자일로바이오스 7% 함유 설탕), XB 10 (자일로바이오스 10% 함유 설탕), XB 14 (자일로바이오스 14% 함유 설탕)은 표준식품 (포도당)에 비해 섭취 후 최대 혈당 상승값이 유의적으로 낮았다. XB 7, XB 10 및 XB 14의 GI는 각각 57.0, 53.6, 49.7로 나타나 XB 7은 중GI 식품으로, XB 10, XB 14는 저GI 식품으로 분류되었고, 순수한 설탕의 GI 68에 비해 낮았다. AUC는 30~90분 사이에서 표준식품 (포도당)에 비해 비교식품 (XB 7, XB 10, XB 14)에서 유의적으로 낮았다. 따라서 자일로바이오스를 함유한 설탕은 혈당상승을 억제하는 효과가 있는 것으로 나타나고 있으며, 자일로바이오스 7% 함유보다는 자일로바이오스 10% 이상 함유 시 기능성 설탕으로의 효과를 기대할 수 있을 것으로 사료된다.

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