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Clinical Care/Education
Factors Associated with Participation in Diabetes Education: The Korea National Health and Nutrition Examination Survey 2007 to 2009
Jung Min Kim, Jae Won Hong, Jung Hyun Noh, Dong-Jun Kim
Diabetes Metab J. 2016;40(6):447-453.   Published online September 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.447
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  • 8 Web of Science
  • 9 Crossref
AbstractAbstract PDFPubReader   
Background

A recent study revealed that the participation rate in diabetes education among diabetic patients was only about 50% in Korea. We investigated the factors associated with participation in diabetes education.

Methods

The study included 1,255 patients (≥19 years old) diagnosed with diabetes drawn from the total Korea National Health and Nutrition Examination Survey 2007 to 2009 population comprising 30,705 individuals. We compared age, sex, and age- and sex-adjusted clinical characteristics in patients who had received diabetes education versus those who had not.

Results

Of the 1,255 patients, 19.8% (n=248) had received diabetes education. Patients in the group who received diabetes education were younger, diagnosed at an earlier age, had a longer diabetes duration and were more likely to be using insulin therapy compared with the group who did not receive diabetes education (P<0.001). The group who received diabetes education included fewer manual workers (P<0.001) but more college graduates (P=0.004) compared with the group who did not receive diabetes education. Logistic regression analysis revealed that longer diabetes duration increased the likelihood of receiving diabetes education (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.01 to 1.06; P=0.004). Junior high school (OR, 0.47; 95% CI, 0.24 to 0.91; P=0.026) and elementary school education levels (OR, 0.34; 95% CI, 0.17 to 0.65; P=0.001) versus college graduation were inversely correlated with participation in diabetes self-management education. Non-insulin therapy reduced the likelihood of receiving diabetes education (OR, 0.37; 95% CI, 0.21 to 0.64; P<0.001).

Conclusion

Longer diabetes duration, insulin therapy, and higher education level were positively associated with the completion of diabetes education.

Citations

Citations to this article as recorded by  
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • Team-based multicomponent care improved and sustained glycaemic control in obese people with type 2 diabetes (T2D) in a Diabetes Centre setting: A quality improvement program with quasi-experimental design
    Lee-Ling Lim, Eric S.H. Lau, Risa Ozaki, Tammy T.Y. So, Rebecca Y.M. Wong, Elaine Y.K. Chow, Ronald C.W. Ma, Andrea O.Y. Luk, Juliana C.N. Chan, Alice P.S. Kong
    Diabetes Research and Clinical Practice.2022; 194: 110138.     CrossRef
  • Socio-economic determinants of attendance at diabetes self-management education program: using Andersen’s behavioral model
    Javad Javan-Noughabi, Seyed Saeed Tabatabaee, Sajad Vahedi, Tahere Sharifi
    BMC Health Services Research.2022;[Epub]     CrossRef
  • Sociodemographic Factors Associated with Participation in Diabetes Education among Community-Dwelling Adults with Diabetes
    Young-Hoon Lee
    Yonsei Medical Journal.2020; 61(2): 169.     CrossRef
  • Influence of health education on clinical parameters in type 2 diabetic subjects with and without hypertension: A longitudinal, comparative analysis in routine primary care settings
    Xiu-Jing Hu, Hua-Feng Wu, Yu-Ting Li, Yi Wang, Hui Cheng, Jia-Ji Wang, Bedru H. Mohammed, Isabella Tan, Harry H.X. Wang
    Diabetes Research and Clinical Practice.2020; 170: 108539.     CrossRef
  • Disparities in Diabetes Education Program Use by Disability Status Among People with Diabetes: Findings from Behavioral Risk Factor Surveillance System 2015
    Junrong Shi, Yong Li
    American Journal of Health Education.2019; 50(1): 6.     CrossRef
  • Factors Influencing Preferences of Adults With Type 2 Diabetes for Diabetes Self-Management Education Interventions
    Lifeng Fan, Souraya Sidani
    Canadian Journal of Diabetes.2018; 42(6): 645.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
Review
The Optimal Cutoff Value of Glycated Hemoglobin for Detection of Diabetic Retinopathy
Jung Min Kim, Dong-Jun Kim
Diabetes Metab J. 2015;39(1):16-26.   Published online February 16, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.1.16
  • 4,649 View
  • 41 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   

With standardization of measurement of glycated hemoglobin (A1C), the International Expert Committee Report in 2009 and the American Diabetes Association in 2010 recommended incorporating A1C ≥6.5% into the previous diagnostic criteria using fasting plasma glucose and/or 2-hour plasma glucose. Whereas the association of A1C with cardiovascular diseases and other diabetic microvascular complications was linear without evidence of a distinct threshold, several studies suggested a threshold value for A1C in diabetic retinopathy (DR). In studies about the optimal cutoff value for A1C in DR, the A1C values range from 5.2% to 7.8%. There are several possible reasons why these values for DR differ so widely (differences in the definition and/or methods for DR, variation in statistical methods, differences in study population, differences in exclusion criteria, and difference in methods for measuring A1C). With these wide variations in the study method, drawing a conclusive cutoff value for A1C in DR is impossible. In published studies, the cutoff values for moderate or severe DR were higher than those for any or mild DR (6.4% to 7.0% vs. 5.5% to 6.5%).

Citations

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  • What Difference Does a Diagnosis Make?
    Mattan Alalouf, Sarah Miller, Laura R. Wherry
    American Journal of Health Economics.2024; 10(1): 97.     CrossRef
  • EFFECTS OF GLYCEMIC VARIABILITY ON THE PROGRESSION OF DIABETIC RETINOPATHY AMONG PATIENTS WITH TYPE 2 DIABETES
    Jae Yong Park, Je Hyung Hwang, Min Ji Kang, Ha Eun Sim, Jae Suk Kim, Kyung Soo Ko
    Retina.2021; 41(7): 1487.     CrossRef
  • Simple diagnosis of HbA1c using the dual-plasmonic platform integrated with LSPR and SERS
    Nam Su Heo, Cheol Hwan Kwak, Hoomin Lee, Dongjoo Kim, Sunmook Lee, Gi-bum Kim, Soonjo Kwon, Woo Sik Kim, Yun Suk Huh
    Journal of Crystal Growth.2017; 469: 154.     CrossRef
  • Insulin resistance and beta-cell dysfunction in people with prediabetes according to criteria based on glycemia and glycosylated hemoglobin
    Andrea Tura, Christian Göbl, Ermanno Moro, Giovanni Pacini
    Endocrine Journal.2017; 64(1): 117.     CrossRef
  • DIABETIC RETINOPATHY-RISK FACTORS, STAGING & MANAGEMENT
    Naidu A. P. R., Satyavathidevi P
    Journal of Evidence Based Medicine and Healthcare.2016; 3(2): 94.     CrossRef
Brief Report
Glycated Hemoglobin Value for Fasting Plasma Glucose of 126 mg/dL in Korean: The 2011 Korea National Health and Nutrition Examination Survey
Jung Min Kim, Jae Won Hong, Jong Chul Won, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(6):480-483.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.480
  • 4,728 View
  • 35 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   

We aimed to estimate the cutoff value of glycated hemoglobin (HbA1c, A1c) for fasting plasma glucose (FPG) of 126 mg/dL in the Korean adult population, using the 2011 Korea National Health and Nutrition Examination Survey. A total of 5,421 participants without a history of diabetes and over 19 years of age were included in the analysis. A point-wise area under the receiver operating characteristic curve was used to estimate the optimal A1c cutoff value. A1c threshold of 6.1% produced the highest sum of sensitivity (85.2%) and specificity (90.5%) for FPG of 126 mg/dL (area under the curve, 0.941, P<0.001). A1c of 6.5% produced a sensitivity of 67.7% and specificity of 98.0% for FPG of 126 mg/dL. Considering A1c as one of three criteria for the diagnosis of diabetes and the specificity of an A1c cutoff of 6.5%, the current diagnostic criteria of A1c≥6.5% might be acceptable in the Korean adult population.

Citations

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  • The Effect of an Empowerment Program on the Perceived Risk and Physical Health of Patients With Coronary Artery Disease
    Zeinab Ghasemzadeh Kuchi, Masoomeh Zakerimoghadam, Maryam Esmaeili, Babak Geraiely
    Holistic Nursing Practice.2020; 34(3): 163.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm
    Diabetes & Metabolism Journal.2016; 40(2): 167.     CrossRef
  • Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?
    Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song
    Diabetes & Metabolism Journal.2016; 40(2): 118.     CrossRef
  • Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetes Research and Clinical Practice.2016; 113: 23.     CrossRef
  • Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
    G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
    The Lancet Diabetes & Endocrinology.2015; 3(8): 624.     CrossRef
  • The Optimal Cutoff Value of Glycated Hemoglobin for Detection of Diabetic Retinopathy
    Jung Min Kim, Dong-Jun Kim
    Diabetes & Metabolism Journal.2015; 39(1): 16.     CrossRef
Original Articles
Factors Associated for Mild Cognitive Impairment in Older Korean Adults with Type 2 Diabetes Mellitus
Yun Jeong Lee, Hye Mi Kang, Na Kyung Kim, Ju Yeon Yang, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(2):150-157.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.150
  • 4,149 View
  • 35 Download
  • 21 Web of Science
  • 23 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to identify factors associated with mild cognitive impairment (MCI) in older Korean adults with type 2 diabetes mellitus.

Methods

A total of 226 older (age ≥65 years) adults without a history of cerebrovascular disease or dementia participated in this study. Cognitive function was assessed with the Montreal Cognitive Assessment-Korean version (MoCA-K). A MoCA-K score <23 was defined as MCI.

Results

The prevalence of MCI was 32.7%. In a logistic regression analysis, age (≥74 years old vs. 65-68 years old; odds ratio [OR], 3.69; 95% confidence interval [CI], 1.55 to 8.82; P=0.003), educational background (college graduation vs. no school or elementary school graduation; OR, 0.16; 95% CI, 0.05 to 0.46; P=0.001), and systolic blood pressure (≥135 mm Hg vs. ≤120 mm Hg; OR, 3.25; 95% CI, 1.29 to 8.17; P=0.012) were associated with MCI.

Conclusion

More concentrated efforts focused on early detection and appropriate management of MCI may be required in older Korean adults with type 2 diabetes mellitus.

Citations

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  • Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test
    Heeyoung Kang, Juhyeon Kim, Minkyeong Kim, Jin Hyun Kim, Gu Seob Roh, Soo Kyoung Kim
    Neurological Sciences.2024;[Epub]     CrossRef
  • Cognitive screening among older adults with diabetes across diverse clinic settings
    Deepashree Gupta, Holly Wilhalme, Gabriela Sauder, Tannaz Moin
    Diabetes Research and Clinical Practice.2023; 196: 110184.     CrossRef
  • Occurrence of mild cognitive impairment with hyperinsulinaemia in Africans with advanced type 2 diabetes mellitus
    J. Bashir, I.U. Yarube
    IBRO Neuroscience Reports.2022; 12: 182.     CrossRef
  • Risk factors for cognitive decline in type 2 diabetes mellitus patients in Brazil: a prospective observational study
    Ana Cristina Ravazzani de Almeida Faria, Joceline Franco Dall’Agnol, Aline Maciel Gouveia, Clara Inácio de Paiva, Victoria Chechetto Segalla, Cristina Pellegrino Baena
    Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
  • The TELE-DD project on treatment nonadherence in the population with type 2 diabetes and comorbid depression
    Juan Francisco Roy, María Luisa Lozano del Hoyo, Fernando Urcola-Pardo, Alicia Monreal-Bartolomé, Diana Cecilia Gracia Ruiz, María Mercedes Gómez Borao, Ana Belén Artigas Alcázar, José Pedro Martínez Casbas, Alexandra Aceituno Casas, María Teresa Andaluz
    Scientific Reports.2021;[Epub]     CrossRef
  • Potential roles of Glucagon-like peptide-1 and its analogues in cognitive impairment associated with type 2 diabetes mellitus
    Zi-Wei Yu, Rong Liu, Xin Li, Ying Wang, Yu-Hong Fu, Hui-Yao Li, Yue Yuan, Xin-Yuan Gao
    Mechanisms of Ageing and Development.2020; 190: 111294.     CrossRef
  • Predictors of Quality of Life among Older People with Mild Cognitive Impairment Attending Urban Primary Care Clinics
    Alexander Lourdes Samy, Shahrul Bahyah Kamaruzzaman, Saroja Krishnaswamy, Wah-Yun Low
    Clinical Gerontologist.2020; 43(4): 441.     CrossRef
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    Federica Vinciguerra, Marco Graziano, Maria Hagnäs, Lucia Frittitta, Andrea Tumminia
    Nutrients.2020; 12(4): 1019.     CrossRef
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    Bulletin of Problems Biology and Medicine.2020; 4(2): 102.     CrossRef
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    Open Life Sciences.2019; 14(1): 255.     CrossRef
  • Oral diabetes medication and risk of dementia in elderly patients with type 2 diabetes
    Ju Young Kim, Young Sook Ku, Hyun Jeong Kim, Nga Thi Trinh, Woorim Kim, Bomi Jeong, Tae Young Heo, Myung Koo Lee, Kyung Eun Lee
    Diabetes Research and Clinical Practice.2019; 154: 116.     CrossRef
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    Xue Zhao, Qing Han, You Lv, Lin Sun, Xiaokun Gang, Guixia Wang
    Oncotarget.2018; 9(7): 7710.     CrossRef
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    Abdulkareem J. Yusuf, Olusegun Baiyewu, Adamu G. Bakari, Sani B. Garko, Mohammed E.‐B. Jibril, Aishatu M. Suleiman, Haruna M. Muktar, Micheal A. Amedu
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    International Journal of Diabetes in Developing Countries.2018; 38(2): 158.     CrossRef
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    Dagnew Baye, Desalegn Wolide Amare, Mossie Andualem
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    Shuangling Xiu, Zheng Zheng, Shaochen Guan, Jin Zhang, Jinghong Ma, Piu Chan
    Neuroscience Letters.2017; 637: 182.     CrossRef
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    International Journal of Hygiene and Environmental Health.2017; 220(2): 424.     CrossRef
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    Wei Li, Edgar Huang
    Journal of Alzheimer's Disease.2016; 53(2): 393.     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
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    Wei Li, Shannon L. Risacher, Edgar Huang, Andrew J. Saykin
    Neurology.2016; 87(6): 595.     CrossRef
  • Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes
    Insa Feinkohl, Markéta Keller, Christine M. Robertson, Joanne R. Morling, Stela McLachlan, Brian M. Frier, Ian J. Deary, Mark W. J. Strachan, Jackie F. Price
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  • Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol
    Eduardo De la Cruz-Cano, Carlos Alfonso Tovilla-Zarate, Emilio Reyes-Ramos, Thelma Beatriz Gonzalez-Castro, Isela Juarez-Castro, Maria Lilia López-Narváez, Ana Fresan
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Plasma Glucose Regulation and Mortality in Korea: A Pooled Analysis of Three Community-Based Cohort Studies
Nan Hee Kim, Dong-Jun Kim, Seok Won Park, Jee-Young Oh, Joong-Yeol Park, Chol Shin, Hong Kyu Lee, Yongsoo Park
Diabetes Metab J. 2014;38(1):44-50.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.44
  • 3,944 View
  • 30 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   
Background

Although diabetes is a well-known risk factor for death, its impact on cancer death is not clearly understood. Furthermore, it remains controversial whether impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) are associated with increased risk of mortality. We investigated the impact of diabetes or glucose tolerance categories on all cause and cause-specific mortality.

Methods

Mortality analysis was conducted in three population-based cohort studies of 3,801 participants, divided according to fasting plasma glucose (FPG) (normal; stage 1 IFG [5.6≤FPG<6.1 mmol/L]; stage 2 IFG [6.1≤FPG<7.0 mmol/L]; diabetes mellitus [DM]-FPG); or 2-hour glucose after 75 g glucose loading (2hPG) (normal; IGT; DM-2hPG), or a combination of FPG and 2hPG criteria.

Results

During a median follow-up of 11.0 years, 474 subjects died from all causes. Hazard ratios (HRs) for all cause death were higher in those with diabetes as defined by either FPG or 2hPG criteria than their normal counterparts (HR, 2.2, 95% confidence interval [CI], 1.6 to 2.9 for DM-FPG; HR, 2.0, 95% CI, 1.5 to 2.7 for DM-2hPG). Similarly, diabetes defined by either FPG or 2hPG was associated with cancer death (HR, 2.9, 95% CI, 1.7 to 5.0; and HR, 2.1, 95% CI, 1.2 to 3.9, respectively). Although neither IFG nor IGT conferred higher risk for death, when combining stage 2 IFG and/or IGT, the risk of all cause death was higher than in subjects with normal glucose regulation (HR, 1.3; 95% CI, 1.0 to 1.6).

Conclusion

Diabetes is associated with higher risk of death from all causes and cancer. In subjects without diabetes, stage 2 IFG and/or IGT confers increased risk for mortality.

Citations

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    Richard Brandon Stacey, Janice Zgibor, Paul E. Leaverton, Douglas D. Schocken, Jennifer A. Peregoy, Mary F. Lyles, Alain G. Bertoni, Gregory L. Burke
    Journal of the American Geriatrics Society.2019; 67(1): 43.     CrossRef
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    Miranda M. Priya, Anandakumar Amutha, T.A. Pramodkumar, Harish Ranjani, Saravanan Jebarani, Kuppan Gokulakrishnan, Rajendra Pradeepa, Ranjit Unnikrishnan, Ranjit Mohan Anjana, Viswanathan Mohan
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    Yu Jeong Kim, Ja Young Jeon, Seung Jin Han, Hae Jin Kim, Kwan Woo Lee, Dae Jung Kim
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    Chang Hee Jung, Gi Hyeon Seo, Sunghwan Suh, Ji Cheol Bae, Mee Kyoung Kim, You-Cheol Hwang, Jae Hyeon Kim, Byung-Wan Lee, Xian Wu Cheng
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Safety and Efficacy of Modern Insulin Analogues
Hye Jin Yoo, Keun Yong Park, Kang Seo Park, Kyu Jeung Ahn, Kyung Wan Min, Jeong Hyun Park, Sang Ah Chang, Bong Soo Cha, Dong-Jun Kim, Yong Seong Kim, Tae Keun Oh, Suk Chon, Il Seong Nam-Goong, Mi Jin Kim, Hye-Soon Kim, Young Sik Choi, You Hern Ahn, Sora Lee, Sei Hyun Baik
Diabetes Metab J. 2013;37(3):181-189.   Published online June 14, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.3.181
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  • 32 Download
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AbstractAbstract PDFPubReader   
Background

A1chieve® was a noninterventional study evaluating the clinical safety and efficacy of biphasic insulin aspart 30, insulin detemir, and insulin aspart.

Methods

Korean type 2 diabetes patients who have not been treated with the study insulin or have started it within 4 weeks before enrollment were eligible for the study. The patient selection and the choice of regimen were at the discretion of the physician. The safety and efficacy information was collected from the subjects at baseline, week 12, and week 24. The number of serious adverse drug reactions (SADRs) was the primary endpoint. The changes of clinical diabetic markers at week 12 and/or at week 24 compared to baseline were the secondary endpoints.

Results

Out of 4,058 exposed patients, 3,003 completed the study. During the study period, three SADRs were reported in three patients (0.1%). No major hypoglycemic episodes were observed and the rate of minor hypoglycemic episodes marginally decreased during 24 weeks (from 2.77 to 2.42 events per patient-year). The overall quality of life score improved (from 66.7±15.9 to 72.5±13.5) while the mean body weight was slightly increased (0.6±3.0 kg). The 24-week reductions in glycated hemoglobin, fasting plasma glucose and postprandial plasma glucose were 1.6%±2.2%, 2.5±4.7 mmol/L, and 4.0±6.4 mmol/L, respectively.

Conclusion

The studied regimens showed improvements in glycemic control with low incidence of SADRs, including no incidence of major hypoglycemic episodes in Korean patients with type 2 diabetes.

Citations

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The Association of Self-Reported Coronary Heart Disease with Diabetes Duration in Korea
Hye Mi Kang, Yun Jeong Lee, Dong-Jun Kim
Diabetes Metab J. 2012;36(5):350-356.   Published online October 18, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.5.350
  • 3,252 View
  • 24 Download
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

This study aimed to investigate the association of diabetes duration with self-reported coronary heart disease (CHD) in Korea.

Methods

Among data from 34,145 persons compiled in the third Korean National Health and Nutrition Examination Survey in 2005, laboratory test and nutritional survey data from 5,531 persons were examined. The participants were asked to recall a physician's diagnosis of CHD (angina or myocardial infarction).

Results

Age- and sex-adjusted relative risk for CHD was 1.51 (95% confidence interval [CI], 0.64 to 3.59; not significant) for diabetes with duration of <1 year, 2.27 (95% CI, 1.14 to 4.54; P=0.020) for diabetes with a duration of 1 to 5 years, and 3.29 (95% CI, 1.78 to 6.08; P<0.001) for diabetes with a duration >5 years, compared with non-diabetes as a control. Even after adjusting for age, sex, current smoking status, waist circumference, hypertension, triglycerides, high density lipoprotein cholesterol, and fasting plasma glucose, relative risk for CHD was 2.87 (95% CI, 1.01 to 8.11; P=0.047) in diabetes with a duration of 6 to 10 years and 4.07 (95% CI, 1.73 to 9.63; P=0.001) in diabetes with duration of >10 years with non-diabetes as a control.

Conclusion

CHD prevalence increased with an increase in diabetes duration in Korean men and women. Recently detected diabetes (duration <1 year) was not significantly associated with CHD prevalence compared to non-diabetes. However, diabetes of a duration of >5 years was associated with an increase in CHD compared to non-diabetics after adjusting for several CHD risk factors.

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  • Predictive nomogram for coronary heart disease in patients with type 2 diabetes mellitus
    Shucai Xiao, Youzheng Dong, Bin Huang, Xinghua Jiang
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
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Total Energy Intake May Be More Associated with Glycemic Control Compared to Each Proportion of Macronutrients in the Korean Diabetic Population
Hye Mi Kang, Dong-Jun Kim
Diabetes Metab J. 2012;36(4):300-306.   Published online August 20, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.4.300
  • 3,342 View
  • 33 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

Major macronutrients for energy intake vary among countries and cultures. Carbohydrates, including rice, are the major component of daily energy intake in Korea. The aim of this study was to examine the association of daily energy intake or each proportion of macronutrients, especially carbohydrates, with glycemic control in diabetic Koreans.

Methods

A total of 334 individuals with diabetes (175 men, age 57.4±0.8 years; 159 women, age 60.9±0.9 years) who participated in the 2005 Korean National Health and Nutrition Examination Survey were examined. Glycemic control was categorized based on concentration of glycated hemoglobin (HbA1c; HbA1c ≤6.5%; 6.6% to 8.0%; ≥8.1%). Dietary intake was assessed by using a 24-recall item questionnaire.

Results

High total energy intake was associated with poor glycemic control (HbA1c ≤6.5%, 1,824±75 kcal; 6.6% to 8.0%, 1,990±57 kcal; ≥8.1%, 2,144±73 kcal; P value for trend=0.002). Each proportion of protein, fat, or carbohydrate was not associated with glycemic control. Even after adjusting for several parameters, the association of daily energy intake with glycemic control still persisted.

Conclusion

Total energy intake may be more closely related to glycemic control than each proportionof macronutrients in Korean diabetics.

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    Fuyuko Takahashi, Yoshitaka Hashimoto, Ayumi Kaji, Ryosuke Sakai, Akane Miki, Takuro Okamura, Noriyuki Kitagawa, Hiroshi Okada, Naoko Nakanishi, Saori Majima, Takafumi Senmaru, Emi Ushigome, Masahide Hamaguchi, Mai Asano, Masahiro Yamazaki, Michiaki Fukui
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    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
Metabolic Syndrome versus Framingham Risk Score for Association of Self-Reported Coronary Heart Disease: The 2005 Korean Health and Nutrition Examination Survey
Hye Mi Kang, Dong-Jun Kim
Diabetes Metab J. 2012;36(3):237-244.   Published online June 14, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.3.237
  • 3,434 View
  • 27 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

Several studies in Western populations have indicated that metabolic syndrome (MetS) is inferior to the Framingham risk score (FRS) in predicting coronary heart disease (CHD). However there has been no study about the predictability of MetS vs. FRS for CHD in Korea.

Methods

Among the 43,145 persons from the third Korea National Health and Nutrition Examination Survey in 2005, laboratory test and nutritional survey data from 5,271 persons were examined. Participants were also asked to recall a physician's diagnosis of CHD.

Results

The median age was 46 (range, 20 to 78) in men (n=2,257) and 44 (range, 20 to 78) years in women (n=3,014). Prevalence of self-reported CHD was 1.7% in men and 2.1% in women. Receiver operating characteristic curves and their respective area under the curve (AUC) were used to compare the ability of the FRS and the number of components of MetS to predict self-reported CHD in each sex. In men, AUC of FRS was significantly larger than that of MetS (0.767 [0.708 to 0.819] vs. 0.677 [0.541 to 0.713], P<0.01). In women, AUC of FRS was comparable to that of MetS (0.777 [0.728 to 0.826] vs. 0.733 [0.673 to 0.795]), and was not significant.

Conclusion

The data suggested that FRS was more closely associated with CHD compared to MetS in Korean men.

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