Diabetes & Metabolism Journal

Original Articles

Clinical Diabetes & Therapeutics
Additional Effect of Dietary Fiber in Patients with Type 2 Diabetes Mellitus Using Metformin and Sulfonylurea: An Open-Label, Pilot Trial: Seung-Eun Lee, Yongbin Choi, Ji Eun Jun, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gwang Pyo Ko, Moon-Kyu Lee; Diabetes Metab J. 2019;43(4):422-431. Published online April 23, 2019; DOI: https://doi.org/10.4093/dmj.2018.0090

6,582 View
90 Download
9 Web of Science
8 Crossref

Background

Metformin, sulfonylurea, and dietary fiber are known to affect gut microbiota in patients with type 2 diabetes mellitus (T2DM). This open and single-arm pilot trial investigated the effects of the additional use of fiber on glycemic parameters, insulin, incretins, and microbiota in patients with T2DM who had been treated with metformin and sulfonylurea.

Methods

Participants took fiber for 4 weeks and stopped for the next 4 weeks. Glycemic parameters, insulin, incretins during mixed-meal tolerance test (MMTT), lipopolysaccharide (LPS) level, and fecal microbiota were analyzed at weeks 0, 4, and 8. The first tertile of difference in glucose area under the curve during MMTT between weeks 0 and 4 was defined as ‘responders’ and the third as ‘nonresponders,’ respectively.

Results

In all 10 participants, the peak incretin levels during MMTT were higher and LPS were lower at week 4 as compared with at baseline. While the insulin sensitivity of the ‘responders’ increased at week 4, that of the ‘nonresponders’ showed opposite results. However, the results were not statistically significant. In all participants, metabolically unfavorable microbiota decreased at week 4 and were restored at week 8. At baseline, metabolically hostile bacteria were more abundant in the ‘nonresponders.’ In ‘responders,’ Roseburia intestinalis increased at week 4.

Conclusion

While dietary fiber did not induce additional changes in glycemic parameters, it showed a trend of improvement in insulin sensitivity in ‘responders.’ Even if patients are already receiving diabetes treatment, the additional administration of fiber can lead to additional benefits in the treatment of diabetes.

Citations

Citations to this article as recorded by

Advances in the mechanism of metformin with wide-ranging effects on regulation of the intestinal microbiota
Yue Wang, Xianxian Jia, Bin Cong
Frontiers in Microbiology.2024;[Epub] CrossRef
The effects of prebiotics on gastrointestinal side effects of metformin in youth: A pilot randomized control trial in youth-onset type 2 diabetes
Sydney A. Dixon, Sidharth Mishra, Katrina B. Dietsche, Shalini Jain, Lilian Mabundo, Michael Stagliano, Andrea Krenek, Amber Courville, Shanna Yang, Sara A. Turner, Abby G. Meyers, Doris E. Estrada, Hariom Yadav, Stephanie T. Chung
Frontiers in Endocrinology.2023;[Epub] CrossRef
The impact of dietary, surgical, and pharmacological interventions on gut microbiota in individuals with diabetes mellitus: A systematic review
Patricia M. Bock, Andreza F. Martins, Rafaela Ramalho, Gabriela H. Telo, Gabriel Leivas, Clara K. Maraschin, Beatriz D. Schaan
Diabetes Research and Clinical Practice.2022; 189: 109944. CrossRef
Assessment of the safety and probiotic properties of Roseburia intestinalis: A potential “Next Generation Probiotic”
Chao Zhang, Kejia Ma, Kai Nie, Minzi Deng, Weiwei Luo, Xing Wu, Yujun Huang, Xiaoyan Wang
Frontiers in Microbiology.2022;[Epub] CrossRef
The Effect of Prebiotics and Oral Anti-Diabetic Agents on Gut Microbiome in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis of Randomised Controlled Trials
Omorogieva Ojo, Xiaohua Wang, Osarhumwese Osaretin Ojo, Joanne Brooke, Yiqing Jiang, Qingqing Dong, Trevor Thompson
Nutrients.2022; 14(23): 5139. CrossRef
The Effect of Dietary Interventions on Chronic Inflammatory Diseases in Relation to the Microbiome: A Systematic Review
Carlijn A. Wagenaar, Marieke van de Put, Michelle Bisschops, Wendy Walrabenstein, Catharina S. de Jonge, Hilde Herrema, Dirkjan van Schaardenburg
Nutrients.2021; 13(9): 3208. CrossRef
The Role of Dietary Fibre in Modulating Gut Microbiota Dysbiosis in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials
Omorogieva Ojo, Qian-Qian Feng, Osarhumwese Osaretin Ojo, Xiao-Hua Wang
Nutrients.2020; 12(11): 3239. CrossRef
High Fiber and Beta Carotene from Sweet Potatoes and Pumpkin Improve Insulin Resistance by Inhibition of Sterol Regulatory Binding Protein 1c in Liver of Hypertriglyceridemic Rats
Sunarti Sunarti, Umar Santoso, Abrory Agus Cahya Pramana, Emy Huriyati, Dianandha Septiana Rubi
Open Access Macedonian Journal of Medical Sciences.2020; 8(A): 898. CrossRef

Obesity and Metabolic Syndrome
Utility of Serum Albumin for Predicting Incident Metabolic Syndrome According to Hyperuricemia: You-Bin Lee, Ji Eun Jun, Seung-Eun Lee, Jiyeon Ahn, Gyuri Kim, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Jae Hyeon Kim; Diabetes Metab J. 2018;42(6):529-537. Published online September 28, 2018; DOI: https://doi.org/10.4093/dmj.2018.0012

5,024 View
57 Download
10 Web of Science
10 Crossref

Abstract PDF Supplementary Material PubReader

Background

Serum albumin and uric acid have been positively linked to metabolic syndrome (MetS). However, the association of MetS incidence with the combination of uric acid and albumin levels has not been investigated. We explored the association of albumin and uric acid with the risk of incident MetS in populations divided according to the levels of these two parameters.

Methods

In this retrospective longitudinal study, 11,613 non-MetS participants were enrolled among 24,185 individuals who had undergone at least four annual check-ups between 2006 and 2012. The risk of incident MetS was analyzed according to four groups categorized by the sex-specific medians of serum albumin and uric acid.

Results

During 55,407 person-years of follow-up, 2,439 cases of MetS developed. The risk of incident MetS increased as the uric acid category advanced in individuals with lower or higher serum albumin categories with hazard ratios (HRs) of 1.386 (95% confidence interval [CI], 1.236 to 1.554) or 1.314 (95% CI, 1.167 to 1.480). However, the incidence of MetS increased with higher albumin levels only in participants in the lower uric acid category with a HR of 1.143 (95% CI, 1.010 to 1.294).

Conclusion

Higher levels of albumin were associated with an increased risk of incident MetS only in individuals with lower uric acid whereas higher levels of uric acid were positively linked to risk of incident MetS regardless of albumin level.

Citations

Citations to this article as recorded by

Dissecting the risk factors for hyperuricemia in vegetarians in Taiwan
Kai-Chieh Chang, Sin-Yi Huang, Wen-Hsin Tsai, Hao-Wen Liu, Jia-Sin Liu, Chia-Lin Wu, Ko-Lin Kuo
Journal of the Chinese Medical Association.2024;[Epub] CrossRef
A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
BMC Public Health.2023;[Epub] CrossRef
Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
Diabetes & Metabolism Journal.2022; 46(5): 756. CrossRef
Nutritional Biomarkers and Heart Rate Variability in Patients with Subacute Stroke
Eo Jin Park, Seung Don Yoo
Nutrients.2022; 14(24): 5320. CrossRef
Mean and visit-to-visit variability of glycemia and left ventricular diastolic dysfunction: A longitudinal analysis of 3025 adults with serial echocardiography
Jiyeon Ahn, Janghyun Koh, Darae Kim, Gyuri Kim, Kyu Yeon Hur, Sang Won Seo, Kyunga Kim, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
Metabolism.2021; 116: 154451. CrossRef
Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
Obesity Reviews.2021;[Epub] CrossRef
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Salim S. Virani, Alvaro Alonso, Emelia J. Benjamin, Marcio S. Bittencourt, Clifton W. Callaway, April P. Carson, Alanna M. Chamberlain, Alexander R. Chang, Susan Cheng, Francesca N. Delling, Luc Djousse, Mitchell S.V. Elkind, Jane F. Ferguson, Myriam Forn
Circulation.2020;[Epub] CrossRef
Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome
Guillermo Mena-Sánchez, Nancy Babio, Nerea Becerra-Tomás, Miguel Á. Martínez-González, Andrés Díaz-López, Dolores Corella, Maria D. Zomeño, Dora Romaguera, Jesús Vioque, Ángel M. Alonso-Gómez, Julia Wärnberg, José A. Martínez, Luís Serra-Majem, Ramon Estr
Nutrition, Metabolism and Cardiovascular Diseases.2020; 30(2): 214. CrossRef
Evaluation of serum uric acid levels in patients with rosacea
Nermin Karaosmanoglu, Engin Karaaslan, Pınar Ozdemir Cetinkaya
Archives of Dermatological Research.2020; 312(6): 447. CrossRef
Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
Jin Hwa Kim
Diabetes & Metabolism Journal.2019; 43(5): 727. CrossRef

Epidemiology
High Proportion of Adult Cases and Prevalence of Metabolic Syndrome in Type 1 Diabetes Mellitus Population in Korea: A Nationwide Study: You-Bin Lee, Kyungdo Han, Bongsung Kim, Sang-Man Jin, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Jae Hyeon Kim; Diabetes Metab J. 2019;43(1):76-89. Published online August 22, 2018; DOI: https://doi.org/10.4093/dmj.2018.0048

6,563 View
118 Download
27 Web of Science
30 Crossref

Abstract PDF Supplementary Material PubReader

Background

The prevalence and incidence of type 1 diabetes mellitus (T1DM) in all age groups and the prevalence of metabolic syndrome in patients with T1DM in Korea were estimated.

Methods

The incidence and prevalence of T1DM between 2007 and 2013 were calculated using the Korean National Health Insurance Service (NHIS) datasets of claims. Clinical characteristics and prevalence of metabolic syndrome in individuals with T1DM between 2009 and 2013 were determined using the database of NHIS preventive health checkups.

Results

The prevalence of T1DM in Korea between 2007 and 2013 was 0.041% to 0.047%. The annual incidence rate of T1DM in Korea in 2007 to 2013 was 2.73 to 5.02/100,000 people. Although the incidence rate of typical T1DM was highest in teenagers, it remained steady in adults over 30 years of age. In contrast, the incidence rate of atypical T1DM in 2013 was higher in people aged 40 years or older than in younger age groups. Age- and sex-adjusted prevalence of metabolic syndrome in patients with T1DM was 51.65% to 55.06% between 2009 and 2013.

Conclusion

T1DM may be more common in Korean adults than previously believed. Metabolic syndrome may be a frequent finding in individuals with T1DM in Korea.

Citations

Citations to this article as recorded by

Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
Diabetes & Metabolism.2024; 50(1): 101505. CrossRef
Incidence and trends of type 1 diabetes before and after 2000 in the Western Pacific Region: A systematic review and meta-analysis
Du Wang, Xiaoli Hou, Juan Huang, Jianjing Sun, Takashi Kadowaki, Moon-Kyu Lee, Alicia J. Jenkins, Linong Ji
Diabetes Research and Clinical Practice.2024; 207: 111055. CrossRef
Prevalence of Metabolic Syndrome and Its Risk Factors Influence on Microvascular Complications in Patients With Type 1 and Type 2 Diabetes Mellitus
Asad Riaz, Shoaib Asghar, Salman Shahid, Haider Tanvir, Muhammad Hamza Ejaz, Mamuna Akram
Cureus.2024;[Epub] CrossRef
Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes & Metabolism Journal.2024; 48(2): 290. CrossRef
Comparison of Insulin-Treated Patients with Ambiguous Diabetes Type with Definite Type 1 and Type 2 Diabetes Mellitus Subjects: A Clinical Perspective
Insa Laspe, Juris J. Meier, Michael A. Nauck
Diabetes & Metabolism Journal.2023; 47(1): 140. CrossRef
Clinical and biochemical profile of childhood–adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians
Viswanathan Mohan, Ganesan Uma Sankari, Anandakumar Amutha, Ranjit Mohan Anjana, Saravanan Jeba Rani, Ranjit Unnikrishnan, Ulagamathesan Venkatesan, Coimbatore Subramanian Shanthi Rani
Acta Diabetologica.2023; 60(4): 579. CrossRef
Subtypes of type 2 diabetes and their association with outcomes in Korean adults - A cluster analysis of community-based prospective cohort
You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
Metabolism.2023; 141: 155514. CrossRef
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(2): 211. CrossRef
Insulin resistance is more frequent in type 1 diabetes patients with long disease duration
Yuting Xie, Mei Shi, Xiaolin Ji, Fansu Huang, Li Fan, Xia Li, Zhiguang Zhou
Diabetes/Metabolism Research and Reviews.2023;[Epub] CrossRef
Long-term Effectiveness of the National Diabetes Quality Assessment Program in South Korea
Ji Hye Huh, Serim Kwon, Gui Ok Kim, Bo Yeon Kim, Kyoung Hwa Ha, Dae Jung Kim
Diabetes Care.2023; 46(9): 1700. CrossRef
Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(5): 682. CrossRef
Impact of statin treatment on cardiovascular risk in patients with type 1 diabetes: a population-based cohort study
Joonsang Yoo, Jimin Jeon, Minyoul Baek, Sun Ok Song, Jinkwon Kim
Journal of Translational Medicine.2023;[Epub] CrossRef
The emergence of obesity in type 1 diabetes
Martin T. W. Kueh, Nicholas W. S. Chew, Ebaa Al-Ozairi, Carel W. le Roux
International Journal of Obesity.2023;[Epub] CrossRef
Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus
Qianwen Huang, Daizhi Yang, Hongrong Deng, Hua Liang, Xueying Zheng, Jinhua Yan, Wen Xu, Xiangwen Liu, Bin Yao, Sihui Luo, Jianping Weng
Diabetes & Metabolism Journal.2022; 46(1): 93. CrossRef
The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions
Jessica L. Harding, Pandora L. Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A. Oram, Dianna J. Magliano, Zhiguang Zhou, Alicia J. Jenkins, Ronald C.W. Ma
Diabetes Care.2022; 45(4): 994. CrossRef
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Diabetes & Metabolism Journal.2021; 45(1): 46. CrossRef
Genomic ancestry and metabolic syndrome in individuals with type 1 diabetes from an admixed population: a multicentre, cross‐sectional study in Brazil
B. S. V. Barros, D. C. Santos, L. G. N. Melo, M. H. Pizarro, L. H. Muniz, D. A. Silva, L. C. Porto, M. B. Gomes
Diabetic Medicine.2021;[Epub] CrossRef
The Interplay Between Diet and the Epigenome in the Pathogenesis of Type-1 Diabetes
Amira Kohil, Maha Al-Asmakh, Mashael Al-Shafai, Annalisa Terranegra
Frontiers in Nutrition.2021;[Epub] CrossRef
Risk of early mortality and cardiovascular disease according to the presence of recently diagnosed diabetes and requirement for insulin treatment: A nationwide study
You‐Bin Lee, Kyungdo Han, Bongsung Kim, Min Sun Choi, Jiyun Park, Minyoung Kim, Sang‐Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
Journal of Diabetes Investigation.2021; 12(10): 1855. CrossRef
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
Ye Seul Yang, Tae Seo Sohn
Diabetes & Metabolism Journal.2021; 45(2): 277. CrossRef
Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data
J. Ha, C. Jeong, K.-D. Han, Y. Lim, M.K. Kim, H.-S. Kwon, K.-H. Song, M.I. Kang, K.-H. Baek
Osteoporosis International.2021; 32(12): 2543. CrossRef
Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study
You-Bin Lee, Bongsung Kim, Jiyun Park, Minyoung Kim, Min Sun Choi, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
International Journal of Obesity.2021; 45(11): 2482. CrossRef
Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
The Korean Journal of Internal Medicine.2021; 36(5): 1049. CrossRef
Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults
Joungyoun Kim, Sang-Jun Shin, Ye-Seul Kim, Hee-Taik Kang
Cardiovascular Diabetology.2021;[Epub] CrossRef
Mortality and causes of death in a population with blindness in Korea: A longitudinal follow-up study using a national sample cohort
Hyo Geun Choi, Min Joung Lee, Sang-Mok Lee
Scientific Reports.2020;[Epub] CrossRef
Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
Cardiovascular Diabetology.2020;[Epub] CrossRef
Management of Type 1 Diabetes Mellitus in Adults
Hye Ryoung Yun
The Journal of Korean Diabetes.2020; 21(3): 156. CrossRef
New Insulin Pumps and Open Source Artificial Pancreas System in Korea
Jae Hyeon Kim
The Journal of Korean Diabetes.2020; 21(4): 197. CrossRef
Risk of early mortality and cardiovascular disease in type 1 diabetes: a comparison with type 2 diabetes, a nationwide study
You-Bin Lee, Kyungdo Han, Bongsung Kim, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Cardiovascular Diabetology.2019;[Epub] CrossRef
Risk of end‐stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome
You‐Bin Lee, Kyungdo Han, Bongsung Kim, Ji Eun Jun, Seung‐Eun Lee, Jiyeon Ahn, Gyuri Kim, Sang‐Man Jin, Jae Hyeon Kim
Diabetes/Metabolism Research and Reviews.2019;[Epub] CrossRef

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

56,050 View
40 Download
5 Crossref

Abstract PDF PubReader

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

First
Prev
Page of 1
Next
Last

Search