- Glycemic Index Revisited.
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In Joo Kim
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Korean Diabetes J. 2009;33(4):261-266. Published online August 1, 2009
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DOI: https://doi.org/10.4093/kdj.2009.33.4.261
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2,745
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- The implementation of effective dietary strategies is important for diabetes management. Dietary carbohydrate is the main factor determining blood sugar level, especially in the postprandial period. Carbohydrate-rich diets can have deleterious effects on glycemic control in diabetic patients and may play an important role in the development of cardiovascular diseases. Low glycemic diets have been reported to have beneficial effects for diabetes control and cardiovascular risk factors. However, according to the American Diabetes Association recommendations for medical nutrition therapy, monitoring carbohydrate intake, whether by carbohydrate counting, exchange, or experience-based estimation, remains a key strategy for achieving glycemic control, with the use of the glycemic index and glycemic load recommended only as an auxiliary method that may provide a modest additional benefit for glycemic control over the effects observed when total carbohydrate is considered alone. Recently, an increasing amount of clinical evidence supports the efficacy of low glycemic diets for the management of diabetes. The development of practical methods to apply the glycemic index and glycemic load to the management of diabetes in clinical settings is warranted.
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Citations
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- Validation Study of the Estimated Glycemic Load Model Using Commercially Available Fast Foods
Miran Lee, Haejin Kang, Sang-Jin Chung, Kisun Nam, Yoo Kyoung Park Frontiers in Nutrition.2022;[Epub] CrossRef - Development of a Prediction Model to Estimate the Glycemic Load of Ready-to-Eat Meals
Hosun Lee, Mihyang Um, Kisun Nam, Sang-Jin Chung, Yookyoung Park Foods.2021; 10(11): 2626. CrossRef - Effects of macronutrients in mixed meals on postprandial glycemic response
Mi-Hyeon Park, Sang-Jin Chung, Jae Eun Shim, Sung-Hee Jang, Ki-Sun Nam Journal of Nutrition and Health.2018; 51(1): 31. CrossRef - An Adequate Intake of Carbohydrates for Gestational Diabetes Mellitus
Yun Jung Lee The Journal of Korean Diabetes.2017; 18(1): 43. CrossRef - Utility of the Glycemic Index in Practical Diabetes Management
Jung Hwa Lee The Journal of Korean Diabetes.2015; 16(2): 135. CrossRef - Analysis and Evaluation of Glycemic Indices and Glycemic Loads of Frequently Consumed Carbohydrate-Rich Snacks according to Variety and Cooking Method
Do Yeon Kim, Hansongyi Lee, Eun Young Choi, Hyunjung Lim Journal of the Korean Society of Food Science and Nutrition.2015; 44(1): 14. CrossRef - Hypoglycemic Effects of Boiled rice made from Unpolished rice, Job' tear, and Extract From Medicinal Herbs Mixture on Diabetic Rat
Hyeon-Sun Lee, Hyun-Joo Kong, Eon-Hee Lee, Su-Jung Hwang, Hyeon-A Jung, Mi-Lim Kim, Eun-Mi Choi, Joung-Hyeon Jang, Kyung-Mi Yang The Korea Journal of Herbology.2014; 29(3): 59. CrossRef - The Quality Characteristics and Hypoglycemic Effect of Cookies Containing Helianthus tuberosus Powder
Hwa Yeon Park, Na Young An, Ho Kyung Ryu The Korean Journal of Community Living Science.2013; 24(2): 233. CrossRef - A Study of Glycemic Index, Glycemic Load and Food Sources according to Body Mass Index in Female College Students
Jee-Young Yeon, Eun-Young Kim Korean Journal of Community Nutrition.2012; 17(4): 429. CrossRef - Diet Therapy for Postprandial Hyperglycemia in Patients with Diabetes
Jeong-a Yoo Journal of Korean Diabetes.2012; 13(1): 33. CrossRef - A Factor of Fasting Blood Glucose and Dietary Patterns in Korean Adults Using Data From the 2007, 2008 and 2009 Korea National Health and Nutrition Examination Survey
Kyung Won Paek, Ki Hong Chun, Soo Jin Lee Journal of Preventive Medicine and Public Health.2011; 44(2): 93. CrossRef - Breakfast and Health in Adolescents
Kie Young Park Korean Journal of Pediatric Gastroenterology and Nutrition.2011; 14(4): 340. CrossRef - Nutrients and Dish Intake by Fasting Blood Glucose Level
Jihyun Choi, Hyun-Kyung Moon The Korean Journal of Nutrition.2010; 43(5): 463. CrossRef
- The Association between Arterial Stiffness and Albuminuria in Type 2 Diabetes.
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Seong Geun Lee, Yong Ki Kim, Seo Rin Kim, Yong Sung Ahn, Ji Hae Kwon, Yang Ho Kang, Suk Man Son, In Joo Kim, Ju Sung Kim
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Korean Diabetes J. 2007;31(5):421-428. Published online September 1, 2007
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DOI: https://doi.org/10.4093/jkda.2007.31.5.421
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2,464
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- BACKGROUND
Brachial ankle pulse wave velocity (BaPWV) and cardio ankle vascular index (CAVI), as indicators of arterial stiffness, are increased in type 2 diabetes. Albuminuria, as a cardiovascular risk factor in type 2 diabetes, can cause endothelial dysfunction and atherosclerosis, and these can increase arterial stiffness. So we investigated the hypothesis that increased albuminuria reflects increased BaPWV and CAVI in type 2 diabetes. METHODS: We retrospectively analyzed 106 patients (58 men and 48 women) with type 2 diabetes from March 2005 to September 2006. Urine albumin creatinine ratio (ACR) to evaluate urinary albumin excretion, BaPWV and CAVI were measured in all patients. RESULTS: All patients were divided 3 groups, normal group (ACR < 30 mg/g Cr., n = 31), microalbuminuria group(30 < or = ACR < or = 30 mg/g Cr., n = 42), proteinuria group(ACR > 300 mg/g Cr., n = 33). BaPWV and CAVI in microalbuminuria group and proteinuria group are faster than normal group. In bivariate correlation analysis, BaPWV was not associated with ACR, but CAVI was positively correlated to ACR (r = 0.285, P = 0.003). BaPWV was positively correlated to age, diabetes duration, body mass index, systolic blood pressure, diastolic pressure, pulse pressure and negatively correlated to glomerular filtration rate (GFR). CAVI was positively correlated to age, diabetes duration and negatively correlated to GFR. In multiple linear stepwise regression analysis, BaPWV was not associated with ACR, but ACR was independent predictor for CAVI (P = 0.002). CONCLUSION: In type 2 diabetes, albuminuria was independent predictor for indicators of arterial stiffness, especially CAVI.
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Citations
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- Associations Between Cardio-Ankle Vascular Index and Microvascular Complications in Type 2 Diabetes Mellitus Patients
Kwang Joon Kim, Byung-Wan Lee, Hyun-min Kim, Joo Youn Shin, Eun Seok Kang, Bong Soo Cha, Eun Jig Lee, Sung-Kil Lim, Hyun Chul Lee Journal of Atherosclerosis and Thrombosis.2011; 18(4): 328. CrossRef
- Elevated Levels of Soluble E-selectin and P-selectin in Patients with NIDDM.
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Seok Dong Yoo, In Joo Kim, Yong Ki Kim
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Korean Diabetes J. 1998;22(1):23-34. Published online January 1, 2001
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- BACKGROUND
Although there is wide spread agreement that patients with NIDDM are at increased risk of the premature development of atherosclerosis, it is not totally clear why this is so. This may be related to the interaction of blood leukocytes with vascular endothelium resulting from a loss of normal metabolic control. The adherence of leukocytes to the endothelium is at least partly mcdiated by cell adhesion molecules. In this study, we evaluated the level of soluble E-selectin and P-selectin in blood of normal controls and patients with NIDDM, and studied its relation to glycemic control and identifiable factors influencing the level of soluble E-selectin and P-selectin. METHODS: Serum soluble E-selectin and plasma soluble P-selectin levels were measured by ELISA method in 24 NIDDM patients without macrovascullar disease and 14 normal controls matched with age, sex and body mass index. Clinical characteristics and laboratory findings such as fasting plasma glucose, HbA1c and lipid profile were evaluated, and their relation with the levels of E-selectin and P-selectin was analized. RESULTS: 1) The levels of E-selectin and P-selectin in NIDDM patients were significantly higher than those of normal controls(55.69+21.97 vs. 42.11+13.57ng/ mL, P<0.05 for E-selectin, 41.60+20.90 vs. 27.16 +7.12ng/mL, P 0.01 for P-selectin). 2) The levels of E-selectin and P-selectin were positively correlated with the fasting plasma glucose level(r=0.400 P<0,05 for E-selectin, r=0.456 P<0.01 for P-selectin). They were also positively correlated with the levels of serum triglyceride(r=0.531 P<0.01 for E-selectin, r=0.415 P =0.05 for P-selectin) but not with the levels of serum total cholesterol, LDL and HDL cholestrol in NIDDM patients. 3) No significant correlation was noted between the levels of E-selectin or P-selectin and the duration of NIDDM. And the levels were not different according to the type of treatment. 4) E-selectin level, not P-selectin level, was significantly higher in the patients with nephropathy when compared to the patients without nephropathy. But such difference was not noted when the patients were classified according to the presence of retinopathy or neuropathy. 5) E-selectin level was positively correlated with P-selectin level in both NIDDM patients and normal controls(r=0.52, P<0.01). CONCLUSION: These findings suggest that endothelial dysfunction, revealed by increased cellular adhesion molecules, could play a role in the pathogenesis of diabetic atherosclerotic vascular disorders in NIDDM patients with increased fasting plasma glucose control and hypertriglyceridemia. In addition, elevated soluble E-selectin and P-selectin level in blood might be used as a marker of diabetic nephropathy.
- A study of gastric emptying time and effect of cisapride in diabetic patients.
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Yong Ki Kim, Kyoung Seog Lee, Jae Bok Lee, Chul Soo Choi, In Joo Kim
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Korean Diabetes J. 1993;17(4):403-410. Published online January 1, 2001
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- No abstract available.
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