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Effect on Glycemic, Blood Pressure, and Lipid Control according to Education Types
Mi-Ju Choi, Seung-Hyun Yoo, Kum-Rae Kim, Yoo-Mi Bae, Sun-Hee Ahn, Seong-Shin Kim, Seong-Ah Min, Jin-Sun Choi, Seung-Eun Lee, Yeo-Jin Moon, Eun Jung Rhee, Cheol-Young Park, Won Young Lee, Ki Won Oh, Sung Woo Park, Sun Woo Kim
Diabetes Metab J. 2011;35(6):580-586.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.580
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  • 39 Download
  • 5 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetes self-management education and reinforcement are important for effective management of the disease. We investigated the effectiveness of interactive small-group education on glycemic, blood pressure, and lipid levels.

Methods

For this study, 207 type 2 diabetes patients with suboptimal glycemic control (HbA1c levels >6.5%) were enrolled. The conventional education group received an existing education program from April to November in 2006, and the interactive education group received a new small-group education program from December 2006 to July 2007. The two groups were comparatively analyzed for changes in blood sugar, glycated hemoglobin, lipid, and blood pressure at baseline, 3, 6, and 12 months and the proportion of patients achieving target goals at 12 months.

Results

After 12 months of follow-up, HbA1c levels in the interactive education group were significantly lower than in the conventional education group (6.7% vs. 6.4%, P<0.001). Fasting and 2 hour postprandial glucose concentrations, total cholesterol, and low density lipoprotein cholesterol were significantly lower in the interactive education group than in the conventional education group. The proportion of patients that achieved target goals was significantly higher in the interactive education group.

Conclusion

The small-group educational method improved and re-established the existing group educational method. This finding suggests that the importance of education appears to be related to the method by which it is received rather than the education itself. Thus, the use of small-group educational methods to supplement existing educational methods established for diverse age levels should be considered in the future.

Citations

Citations to this article as recorded by  
  • The Effectiveness of Multidisciplinary Team-Based Education in the Management of Type 2 Diabetes
    Jong Ho Kim, Yun Jeong Nam, Won Jin Kim, Kyung Ah Lee, A Ran Baek, Jung Nam Park, Jin Mi Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2018; 19(2): 119.     CrossRef
  • Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
    So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
    Diabetes & Metabolism Journal.2017; 41(2): 99.     CrossRef
  • Impact of ENPP1 K121Q on Change of Insulin Resistance after Web-Based Intervention in Korean Men with Diabetes and Impaired Fasting Glucose
    Ji Yeon Kang, Sook Hee Sung, Yeon Ju Lee, Tae In Choi, Seung Jin Choi
    Journal of Korean Medical Science.2014; 29(10): 1353.     CrossRef
  • It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
    Sang Yong Kim
    Diabetes & Metabolism Journal.2014; 38(3): 194.     CrossRef
  • Education as Prescription for Patients with Type 2 Diabetes Mellitus: Compliance and Efficacy in Clinical Practice
    Mi Yeon Kim, Sunghwan Suh, Sang-Man Jin, Se Won Kim, Ji Cheol Bae, Kyu Yeon Hur, Sung Hye Kim, Mi Yong Rha, Young Yun Cho, Myung-Shik Lee, Moon Kyu Lee, Kwang-Won Kim, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2012; 36(6): 452.     CrossRef
The Association of Unintentional Changes in Weight, Body Composition, and Homeostasis Model Assessment Index with Glycemic Progression in Non-Diabetic Healthy Subjects
Eun-Jung Rhee, Ji-Hun Choi, Seung-Hyun Yoo, Ji-Cheol Bae, Won-Jun Kim, Eun-Suk Choi, Se Eun Park, Cheol-Young Park, Seok Won Park, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim, Won-Young Lee
Diabetes Metab J. 2011;35(2):138-148.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.138
  • 3,787 View
  • 39 Download
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

We performed a retrospective longitudinal study on the effects of changes in weight, body composition, and homeostasis model assessment (HOMA) indices on glycemic progression in subjects without diabetes during a four-year follow-up period in a community cohort without intentional intervention.

Methods

From 28,440 non-diabetic subjects who participated in a medical check-up program in 2004, data on anthropometric and metabolic parameters were obtained after four years in 2008. Body composition analyses were performed with a bioelectrical impedance analyzer. Skeletal muscle index (SMI, %) was calculated with lean mass/weight×100. Subjects were divided into three groups according to weight change status in four years: weight loss (≤-5.0%), stable weight (-5.0 to 5.0%), weight gain (≥5.0%). Progressors were defined as the subjects who progressed to impaired fasting glucose or diabetes.

Results

Progressors showed worse baseline metabolic profiles compared with non-progressors. In logistic regression analyses, the increase in changes of HOMA-insulin resistance (HOMA-IR) in four years presented higher odds ratios for glycemic progression compared with other changes during that period. Among the components of body composition, a change in waist-hip ratio was the strongest predictor, and SMI change in four years was a significant negative predictor for glycemic progression. Changes in HOMA β-cell function in four years was a negative predictor for glycemic progression.

Conclusion

Increased interval changes in HOMA-IR, weight gain and waist-hip ratio was associated with glycemic progression during a four-year period without intentional intervention in non-diabetic Korean subjects.

Citations

Citations to this article as recorded by  
  • Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
    Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(4): 845.     CrossRef
  • Effects of nutritional supplementation on glucose metabolism and insulin function among people with HIV initiating ART
    Hiwot Amare, Mette F. Olsen, Henrik Friis, Pernille Kæstel, Åse B. Andersen, Alemseged Abdissa, Daniel Yilma, Tsinuel Girma, Daniel Faurholt-Jepsen
    BMC Nutrition.2021;[Epub]     CrossRef
  • The ratio of estimated average glucose to fasting plasma glucose level as an indicator of insulin resistance in young adult diabetes
    Jun Guo, Sisi Lei, Yu Zhou, Congqing Pan
    Medicine.2020; 99(40): e22337.     CrossRef
  • Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
    Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
    Diseases.2020; 8(3): 25.     CrossRef
  • Insulin resistance increases the risk of incident type 2 diabetes mellitus in patients with non‐alcoholic fatty liver disease
    Yuya Seko, Yoshio Sumida, Saiyu Tanaka, Kojiroh Mori, Hiroyoshi Taketani, Hiroshi Ishiba, Tasuku Hara, Akira Okajima, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Michihisa Moriguchi, Kazuyuki Kanemasa, Kohichiroh Yasui, Shunsuke Imai, Keiji Shim
    Hepatology Research.2018;[Epub]     CrossRef
  • Use of Novel High-Protein Functional Food Products as Part of a Calorie-Restricted Diet to Reduce Insulin Resistance and Increase Lean Body Mass in Adults: A Randomized Controlled Trial
    Carol Johnston, Barry Sears, Mary Perry, Jessica Knurick
    Nutrients.2017; 9(11): 1182.     CrossRef
  • Gender differences in the association between food insecurity and insulin resistance among U.S. adults: National Health and Nutrition Examination Survey, 2005–2010
    Junxiu Liu, Yong-Moon Mark Park, Seth A. Berkowitz, Qingwei Hu, Kyungdo Han, Andrew Ortaglia, Robert E. McKeown, Angela D. Liese
    Annals of Epidemiology.2015; 25(9): 643.     CrossRef
  • 1,5-Anhydroglucitol Is Associated with Early-Phase Insulin Secretion in Chinese Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Xiaojing Ma, Yaping Hao, Xiang Hu, Yuqi Luo, Zixuan Deng, Jian Zhou, Yuqian Bao, Weiping Jia
    Diabetes Technology & Therapeutics.2015; 17(5): 320.     CrossRef
  • Serum glycated albumin as a new glycemic marker in pediatric diabetes
    Ji Woo Lee, Hyung Jin Kim, Young Se Kwon, Yong Hoon Jun, Soon Ki Kim, Jong Weon Choi, Ji Eun Lee
    Annals of Pediatric Endocrinology & Metabolism.2013; 18(4): 208.     CrossRef
  • The Association of Maximum Body Weight on the Development of Type 2 Diabetes and Microvascular Complications: MAXWEL Study
    Soo Lim, Kyoung Min Kim, Min Joo Kim, Se Joon Woo, Sung Hee Choi, Kyong Soo Park, Hak Chul Jang, James B. Meigs, Deborah J. Wexler, Noel Christopher Barengo
    PLoS ONE.2013; 8(12): e80525.     CrossRef
  • Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans
    C.‐H. Kim, H.‐K. Kim, E. H. Kim, S. J. Bae, J.‐Y. Park
    Diabetic Medicine.2013; 30(9): 1075.     CrossRef
  • Body Mass Index and Waist Circumference According to Glucose Tolerance Status in Korea: The 2005 Korean Health and Nutrition Examination Survey
    Hye Mi Kang, Dong-Jun Kim
    Journal of Korean Medical Science.2012; 27(5): 518.     CrossRef
  • The Relationship between β-cell Function and Nutrient Intakes in Korean Adult - Using 4thKorea National Health and Nutrition Examination Survey 2009 -
    You Mi Lee, Hye Kyung Chung, Heejin Kimm, Sun Ha Jee
    Korean Journal of Community Nutrition.2012; 17(2): 243.     CrossRef
  • The ratio of glycated albumin to glycated haemoglobin correlates with insulin secretory function
    Daham Kim, Kwang J. Kim, Ji H. Huh, Byung‐Wan Lee, Eun S. Kang, Bong S. Cha, Hyun C. Lee
    Clinical Endocrinology.2012; 77(5): 679.     CrossRef
The Association of Brachial-Ankle Pulse Wave Velocity with 30-Minute Post-Challenge Plasma Glucose Levels in Korean Adults with No History of Type 2 Diabetes
Eun-Suk Choi, Eun-Jung Rhee, Ji-Hoon Choi, Ji-Cheol Bae, Seung-Hyun Yoo, Won-Jun Kim, Se-Eun Park, Cheol-Young Park, Won-Young Lee, Yong-Kyun Cho, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim
Korean Diabetes J. 2010;34(5):287-293.   Published online October 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.5.287
  • 4,068 View
  • 31 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

Acute postprandial hyperglycemia is an important affector for atherosclerosis in subjects with glucose intolerance. We analyzed the relationship of brachial-ankle pulse wave velocity (baPWV) with fasting and post-challenge plasma glucose levels according to different time points during oral glucose tolerance test (OGTT).

Methods

In 663 subjects with fasting hyperglycemia, 75 g OGTT were performed to confirm the glucose tolerant status, and fasting, post-challenge 30-minute and 120-minute glucose levels were measured. Anthropometric measurements were done, and fasting lipid profiles were measured. baPWV were measured in all subjects and the relationship between fasting, 30- and 120-minute post-challenge glucose levels and baPWV were analyzed.

Results

Among the participants, 62.9% were prediabetes and 31.7% were diabetes. Mean baPWV value was significantly higher in subjects with diabetes compared with prediabetes group. In bivariate correlation analyses, age, blood pressure, total cholesterol, low density lipoprotein cholesterol, 30-minute and 120-minute post-challenge glucose levels showed significant positive correlation with baPWV value. In multiple regression analysis, 30-minute post-challenge glucose level was a weak but significant determinant for mean baPWV value even after adjustment for other confounding variables.

Conclusions

Postprandial hyperglycemia, especially 30-minute glucose levels showed significant correlation with baPWV in subjects with fasting hyperglycemia. These results can imply the deleterious effect of acute hyperglycemic excursion on arterial stiffness in subjects with glucose intolerance.

Citations

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  • One-Hour Post-Load Plasma Glucose Levels are Associated with Early Arterial Stiffness in Subjects with Different Glucose Tolerance
    Rui Wang, Xiao-li Liu, Xiao-jiao Jia, Yan Liu, Qiang Lu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1537.     CrossRef
  • The Temporal Pattern of Arterial Stiffness during Aging: A Large-Scale Cross-Sectional Study
    Zhengli Tang, Yuanyuan Lu, Yiming Hao, Robert Morris, Di Kang, Fang Wang, Lin Fan, Weijian Wang, Yiqin Wang, Feng Cheng, Gaetano Santulli
    Journal of Diabetes Research.2021; 2021: 1.     CrossRef
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    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    Journal of Diabetes and its Complications.2020; 34(4): 107518.     CrossRef
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    Physical Activity and Nutrition.2020; 24(4): 34.     CrossRef
  • Two-hour post-challenge glucose is a better predictor of adverse outcome after myocardial infarction than fasting or admission glucose in patients without diabetes
    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    Acta Diabetologica.2018; 55(5): 449.     CrossRef
  • Adjustment of the GRACE score by 2-hour post-load glucose improves prediction of long-term major adverse cardiac events in acute coronary syndrome in patients without known diabetes
    Sudipta Chattopadhyay, Anish George, Joseph John, Thozhukat Sathyapalan
    European Heart Journal.2018; 39(29): 2740.     CrossRef
  • Investigating the Effect of Glucose on Aortic Pulse Wave Velocity Using Pancreatic Clamping Methodology
    Houry Puzantian, Karen Teff, Raymond R. Townsend
    Biological Research For Nursing.2015; 17(3): 270.     CrossRef
  • Association between the Postprandial Glucose Levels and Arterial Stiffness Measured According to the Cardio-ankle Vascular Index in Non-diabetic Subjects
    Atsuko Tsuboi, Chikako Ito, Rumi Fujikawa, Hideya Yamamoto, Yasuki Kihara
    Internal Medicine.2015; 54(16): 1961.     CrossRef
  • Insulin Sensitivity and Beta-Cell Function Are Associated with Arterial Stiffness in Individuals without Hypertension
    Chuchen Meng, Min Sun, Zhixiao Wang, Qi Fu, Mengdie Cao, Zhenxin Zhu, Jia Mao, Yun Shi, Wei Tang, Xiaoping Huang, Yu Duan, Tao Yang
    Journal of Diabetes Research.2013; 2013: 1.     CrossRef
  • Urinary adiponectin concentration is positively associated with micro- and macro-vascular complications
    Won Seon Jeon, Ji Woo Park, Namseok Lee, Se Eun Park, Eun Jung Rhee, Won Young Lee, Ki Won Oh, Sung Woo Park, Cheol-Young Park, Byung-Soo Youn
    Cardiovascular Diabetology.2013;[Epub]     CrossRef
The Relationship of Adiponectin/Leptin Ratio with Homeostasis Model Assessment Insulin Resistance Index and Metabolic Syndrome in Apparently Healthy Korean Male Adults
Chan-Hee Jung, Eun-Jung Rhee, Ji-Hoon Choi, Ji-Cheol Bae, Seung-Hyun Yoo, Won-Jun Kim, Cheol-Young Park, Ji Oh Mok, Chul Hee Kim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Sun-Woo Kim
Korean Diabetes J. 2010;34(4):237-243.   Published online August 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.4.237
  • 4,282 View
  • 37 Download
  • 45 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the relationships of adiponectin/leptin (A/L) ratio with cardiovascular risk factors, insulin resistance index, and metabolic syndrome (MS) in apparently healthy Korean male adults.

Methods

Sixty-eight male subjects were enrolled among the participants of an annual health check-up program (mean age, 55.1 years). Percent body fat (%) was measured using a bioelectric impedance analyzer. Serum leptin level was measured via radioimmunoassay, and adiponectin level was measured using an enzyme-linked immunosorbent assay. Homeostasis model assessment (HOMA)-insulin resistance (IR) index was calculated, and the presence of metabolic syndrome was assessed.

Results

Adiponectin, leptin, and A/L ratio showed significant correlations with percent body fat, lipid profile, and HOMA-IR. Mean leptin and HOMA-IR levels were significantly higher, while A/L ratio was significantly lower in subjects with MS. With increasing number of MS components, the mean values of leptin and HOMA-IR increased and the A/L ratio decreased. In multiple regression analysis, HOMA-IR was significantly correlated with triglyceride, fasting glucose, and A/L ratio, while A/L ratio was significantly correlated with body mass index and HOMA-IR. HOMA-IR and A/L ratio were significant predictors for each other after adjustment for other factors.

Conclusion

A/L ratio correlated well with lipid profile, HOMA-IR, and the presence and number of MS components in Korean male subjects.

Citations

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Diabetes Metab J : Diabetes & Metabolism Journal