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Shinae Kang  (Kang S) 4 Articles
Clinical Study
Current Management of Type 2 Diabetes Mellitus in Primary Care Clinics in Korea
Da Hea Seo, Shinae Kang, Yong-ho Lee, Jung Yoon Ha, Jong Suk Park, Byoung-Wan Lee, Eun Seok Kang, Chul Woo Ahn, Bong-Soo Cha
Endocrinol Metab. 2019;34(3):282-290.   Published online September 26, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.3.282
  • 5,711 View
  • 82 Download
  • 15 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

This study investigated the overall status of diabetes control and screening for diabetic microvascular complications in patients with type 2 diabetes mellitus attending primary care clinics in Korea.

Methods

In this cross-sectional observational study, 191 primary care clinics were randomly selected across Korea from 2015 to 2016. In total, 3,227 subjects were enrolled in the study.

Results

The patients followed at the primary care clinics were relatively young, with a mean age of 61.4±11.7 years, and had a relatively short duration of diabetes (mean duration, 7.6±6.5 years). Approximately 14% of subjects had diabetic microvascular complications. However, the patients treated at the primary care clinics had suboptimal control of hemoglobin A1c levels, blood pressure, and serum lipid levels, along with a metabolic target achievement rate of 5.9% according to the Korean Diabetes Association guidelines. The screening rates for diabetic nephropathy, retinopathy, and neuropathy within the past 12 months were 28.4%, 23.3%, and 13.3%, respectively.

Conclusion

The overall status of diabetes management, including the frequency of screening for microvascular complications, was suboptimal in the primary care clinics. More efforts should be made and more resources need to be allocated for primary care physicians to promote adequate healthcare delivery, which would result in stricter diabetes control and improved management of diabetic complications.

Citations

Citations to this article as recorded by  
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
  • Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
    Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(6): 837.     CrossRef
  • Effectiveness of quality of care for patients with type 2 diabetes in China: findings from the Shanghai Integration Model (SIM)
    Chun Cai, Yuexing Liu, Yanyun Li, Yan Shi, Haidong Zou, Yuqian Bao, Yun Shen, Xin Cui, Chen Fu, Weiping Jia
    Frontiers of Medicine.2022; 16(1): 126.     CrossRef
  • Comparison of Health Outcomes by Care Provider Type for Newly Diagnosed Mild Type 2 Diabetes Patients in South Korea: A Retrospective Cohort Study
    Hee-Chung Kang, Jae-Seok Hong
    Healthcare.2022; 10(2): 334.     CrossRef
  • 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
  • Type 2 Diabetes Mellitus with Early Dry Skin Disorder: A Comparison Study Between Primary and Tertiary Care in Indonesia
    Lili Legiawati, Kusmarinah Bramono, Wresti Indriatmi, Em Yunir, Aditya Indra Pratama
    Current Diabetes Reviews.2022;[Epub]     CrossRef
  • Long-Term Changes in HbA1c According to Blood Glucose Control Status During the First 3 Months After Visiting a Tertiary University Hospital
    Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
    Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Effects of Diabetes Quality Assessment on Diabetes Management Behaviors Based on a Nationwide Survey
    Chang Kyun Choi, Jungho Yang, Ji-An Jeong, Min-Ho Shin
    International Journal of Environmental Research and Public Health.2022; 19(23): 15781.     CrossRef
  • The Impact of the Indonesian Chronic Disease Management Program (PROLANIS) on Metabolic Control and Renal Function of Type 2 Diabetes Mellitus Patients in Primary Care Setting
    Firas Farisi Alkaff, Fauzan Illavi, Sovia Salamah, Wiwit Setiyawati, Ristra Ramadhani, Elly Purwantini, Dicky L. Tahapary
    Journal of Primary Care & Community Health.2021; 12: 215013272098440.     CrossRef
  • Questionnaire-based Survey of Demographic and Clinical Characteristics, Health Behaviors, and Mental Health of Young Korean Adults with Early-Onset Diabetes
    Ji In Park, Hyunjeong Baek, Sang-Wook Kim, Ji Yun Jeong, Kee-Ho Song, Ji Hee Yu, Il Sung Nam-Goong, Eun-Hee Cho
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–Matched Cohort Study
    Min-Kyung Lee, Bongsung Kim, Kyungdo Han, Jae-Hyuk Lee, Minhee Kim, Mee Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon, Young-Jung Roh
    Diabetes Care.2021; 44(10): 2419.     CrossRef
  • Challenges in the Management of Diabetes in Primary Care
    Yeon Kyung Lee
    The Journal of Korean Diabetes.2020; 21(3): 161.     CrossRef
  • Does Diabetes Increase the Risk of Contracting COVID-19? A Population-Based Study in Korea
    Sung-Youn Chun, Dong Wook Kim, Sang Ah Lee, Su Jung Lee, Jung Hyun Chang, Yoon Jung Choi, Seong Woo Kim, Sun Ok Song
    Diabetes & Metabolism Journal.2020; 44(6): 897.     CrossRef
  • Comprehensive Efforts Are Needed to Improve the Quality of Primary Diabetes Care in Korea
    Chan-Hee Jung
    Endocrinology and Metabolism.2019; 34(3): 265.     CrossRef
Close layer
Clinical Study
Triglyceride Glucose Index Is Superior to the Homeostasis Model Assessment of Insulin Resistance for Predicting Nonalcoholic Fatty Liver Disease in Korean Adults
Sang Bae Lee, Min Kyung Kim, Shinae Kang, Kahui Park, Jung Hye Kim, Su Jung Baik, Ji Sun Nam, Chul Woo Ahn, Jong Suk Park
Endocrinol Metab. 2019;34(2):179-186.   Published online May 20, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.2.179
  • 6,937 View
  • 140 Download
  • 75 Web of Science
  • 78 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Recently, the triglyceride glucose (TyG) index has been considered a surrogate marker of insulin resistance which is a well-known pathogenic factor in nonalcoholic fatty liver disease (NAFLD). However, few studies have investigated the relationship between the TyG index and NAFLD. Thus, we investigated the relationship between the TyG index and NAFLD and the effectiveness of the TyG index compared with the homeostasis model assessment of insulin resistance (HOMA-IR) in identifying NAFLD in Korean adults.

Methods

Participants of 4,986 who underwent ultrasonography in a health promotion center were enrolled. The TyG index was calculated as ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2], and HOMA-IR was estimated. NAFLD was diagnosed by ultrasonography.

Results

Significant differences were observed in metabolic parameters among the quartiles of the TyG index. The prevalence of NAFLD significantly increased with increment in the TyG index. After adjusting for multiple risk factors, a logistic regression analysis was performed. When the highest and lowest quartiles of the TyG index and HOMA-IR were compared, the odds ratios for the prevalence of NAFLD were 2.94 and 1.93 (95% confidence interval, 2.32 to 3.72 and 1.43 to 2.61; both P for trend <0.01), respectively. According to the receiver operating characteristic analysis, the TyG index was superior to HOMA-IR in predicting NAFLD.

Conclusion

The TyG index and prevalence of NAFLD were significantly related and the TyG index was superior to HOMA-IR in predicting NAFLD in Korean adults.

Citations

Citations to this article as recorded by  
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    Journal of Physiological Anthropology.2024;[Epub]     CrossRef
  • Comparison of triglyceride/glucose index and related parameters with Indian Diabetes Risk Score assessment in non-diabetic individuals visiting primary healthcare centre—A community-based cross-sectional study
    Sivapragasam Ramalingam, Amlan Kumar Kar, Rajini Senthil
    Journal of Family Medicine and Primary Care.2024; 13(1): 235.     CrossRef
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    Shizhang Zhan, Liu Wang, Wenping Wang, Ruoran Li
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The association between the triglyceride–glucose index and prognosis in postoperative renal cell carcinoma patients: a retrospective cohort study
    Guoliang Qin, Zhuang Sun, Yuxiang Jin, Xiangguo Ren, Zhaocun Zhang, Shuo Wang, Guanwen Zhou, Kun Huang, Haifeng Zhao, Xianzhou Jiang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • The Triglyceride-Glucose Index is Associated with Vitamin D Status in Metabolic-Associated Fatty Liver Disease
    Zhiping Liu, Wensha Zhang, Zhiwei Zhao, Wenhao Li, Jinhua Zhang
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 2651.     CrossRef
  • The triglyceride and glucose index and risk of nonalcoholic fatty liver disease: A dose–response meta-analysis
    Qin Ling, Jiawei Chen, Xiao Liu, Yi Xu, Jianyong Ma, Peng Yu, Kai Zheng, Fuwei Liu, Jun Luo
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
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    Bokun Kim, Gwonmin Kim, Yongkook Lee, Keisuke Taniguchi, Tomonori Isobe, Sechang Oh
    Nutrients.2023; 15(3): 555.     CrossRef
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    Ming Zhuo, Ze Chen, Mao-Lin Zhong, Fang Lei, Juan-Juan Qin, Shuhua Liu, Ye-Mao Liu, Tao Sun, Xiao-Jing Zhang, Lihua Zhu, Jingjing Cai, Jun-Ming Ye, Erping Yang
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    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(2): 220.     CrossRef
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    Jun ZHU, Dujuan XU, Ruihua YANG, Min LIU, Ying LIU
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    Ákos Nádasdi, Viktor Gál, Tamás Masszi, Anikó Somogyi, Gábor Firneisz
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
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    Maobin Kuang, Ruijuan Yang, Xin Huang, Chao Wang, Guotai Sheng, Guobo Xie, Yang Zou
    Journal of Translational Medicine.2023;[Epub]     CrossRef
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  • Prevalence and Risk Factors of Metabolic-Associated Fatty Liver Disease Among Hospital Staff
    Daya Zhang, Lijun Zhang, Shiju Chen, Runxiang Chen, Xiaodong Zhang, Feihu Bai
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 1221.     CrossRef
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  • Comparison of the Triglyceride Glucose Index and Modified Triglyceride Glucose Indices to Predict Nonalcoholic Fatty Liver Disease in Youths
    Kyungchul Song, Goeun Park, Hye Sun Lee, Myeongseob Lee, Hae In Lee, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim, Hyun Wook Chae
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  • Comparison of the Modified TyG Indices and Other Parameters to Predict Non-Alcoholic Fatty Liver Disease in Youth
    Kyungchul Song, Hae Won Lee, Han Saem Choi, Goeun Park, Hye Sun Lee, Su Jin Kim, Myeongseob Lee, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim, Hyun Wook Chae
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    Journal of General Internal Medicine.2022; 37(16): 4153.     CrossRef
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    Jiayu Zhang, Ming Hu, Yanqiu Jia, Shicong Zhao, Peiyuan Lv, Mingyue Fan, Yuanyuan Shi, Wei Jin
    Journal of Clinical Neuroscience.2022; 104: 126.     CrossRef
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    Frontiers in Pharmacology.2022;[Epub]     CrossRef
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    Journal of the Serbian Chemical Society.2022; 87(9): 1025.     CrossRef
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    Feifei Wang, Ting He, Guoliang Wang, Tuo Han, Zhongqiang Yao
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Association Between Triglyceride-Glucose Index and Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Cohort Study
    Ru Zhang, Qing Guan, Mengting Zhang, Yajie Ding, Zongzhe Tang, Hongliang Wang, Wei Zhang, Yue Chen, Rong Jiang, Yan Cui, Jie Wang
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 3167.     CrossRef
  • Association between the triglyceride-glucose (TyG) index and increased blood pressure in normotensive subjects: a population-based study
    Dong-Hwa Lee, Jong Eun Park, So Young Kim, Hyun Jeong Jeon, Jong-Hyock Park
    Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
  • Fructose consumption correlates with triglyceride-glucose index and glycemic status in healthy adults
    Eda Keskin, Havvanur Yoldas Ilktac
    Clinical Nutrition ESPEN.2022; 52: 184.     CrossRef
  • Associations Between Type 2 Diabetes Subtypes and Complications: Analysis of the Malaysia National Diabetes Registry
    Rasa Kazlauskaite, Nathan Ellermeier, Carrie Ngongo, Arunah Chandran, Pankaja Desai, Ethan Ritz, Rachel Nugent, Feisul Idzwan Mustapha
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Independent and combined effects of triglyceride-glucose index on prehypertension risk: a cross-sectional survey in China
    Hong Xie, Jian Song, Liangliang Sun, Xinxin Xie, Yehuan Sun
    Journal of Human Hypertension.2021; 35(3): 207.     CrossRef
  • Association of Triglyceride-Glucose Index with Bone Mineral Density in Non-diabetic Koreans: KNHANES 2008–2011
    Jee Hee Yoon, A Ram Hong, Wonsuk Choi, Ji Yong Park, Hee Kyung Kim, Ho-Cheol Kang
    Calcified Tissue International.2021; 108(2): 176.     CrossRef
  • Triglyceride‐Glucose Index (TyG) is associated with erectile dysfunction: A cross‐sectional study
    Mehmet Yilmaz, Mustafa Karaaslan, Senol Tonyali, Mecit Celik, Tuncay Toprak, Oner Odabas
    Andrology.2021; 9(1): 238.     CrossRef
  • Triglyceride Glucose Index and Related Parameters (Triglyceride Glucose-Body Mass Index and Triglyceride Glucose-Waist Circumference) Identify Nonalcoholic Fatty Liver and Liver Fibrosis in Individuals with Overweight/Obesity
    Mohammad E. Khamseh, Mojtaba Malek, Rowshanak Abbasi, Hoda Taheri, Maryam Lahouti, Fariba Alaei-Shahmiri
    Metabolic Syndrome and Related Disorders.2021; 19(3): 167.     CrossRef
  • Triglyceride and glucose index and the risk of gestational diabetes mellitus: A nationwide population-based cohort study
    Jung A Kim, Jinsil Kim, Eun Roh, So-hyeon Hong, You-Bin Lee, Sei Hyun Baik, Kyung Mook Choi, Eunjin Noh, Soon Young Hwang, Geum Joon Cho, Hye Jin Yoo
    Diabetes Research and Clinical Practice.2021; 171: 108533.     CrossRef
  • Association of the triglyceride and glucose index with low muscle mass: KNHANES 2008–2011
    Jung A. Kim, Soon Young Hwang, Ji Hee Yu, Eun Roh, So-hyeon Hong, You-Bin Lee, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Nan Hee Kim, Sin Gon Kim, Sei Hyun Baik, Kyung Mook Choi
    Scientific Reports.2021;[Epub]     CrossRef
  • The triglycerides and glucose index is strongly associated with hepatic steatosis in children with overweight or obesity
    Luis E. Simental-Mendía, César Javier Ortega-Pacheco, Elvira García-Guerrero, María Alejandra Sicsik-Aragón, Fernando Guerrero-Romero, Gerardo Martínez-Aguilar
    European Journal of Pediatrics.2021; 180(6): 1755.     CrossRef
  • Triglyceride-glucose index and the risk of stroke and its subtypes in the general population: an 11-year follow-up
    Anxin Wang, Guangyao Wang, Qian Liu, Yingting Zuo, Shuohua Chen, Boni Tao, Xue Tian, Penglian Wang, Xia Meng, Shouling Wu, Yongjun Wang, Yilong Wang
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • Association Between Triglyceride Glucose Index and Non-Small Cell Lung Cancer Risk in Chinese Population
    Xin Yan, Yujuan Gao, Jingzhi Tong, Mi Tian, Jinghong Dai, Yi Zhuang
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Triglyceride Glucose Index Is Associated With Arterial Stiffness and 10-Year Cardiovascular Disease Risk in a Chinese Population
    Wen Guo, Wenfang Zhu, Juan Wu, Xiaona Li, Jing Lu, Pei Qin, Cheng Zhu, Nianzhen Xu, Qun Zhang
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    PLOS ONE.2021; 16(7): e0254630.     CrossRef
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    PLOS ONE.2021; 16(11): e0259212.     CrossRef
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    Scientific Reports.2021;[Epub]     CrossRef
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    BMC Gastroenterology.2021;[Epub]     CrossRef
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Clinical Study
Calpain-10 and Adiponectin Gene Polymorphisms in Korean Type 2 Diabetes Patients
Ji Sun Nam, Jung Woo Han, Sang Bae Lee, Ji Hong You, Min Jin Kim, Shinae Kang, Jong Suk Park, Chul Woo Ahn
Endocrinol Metab. 2018;33(3):364-371.   Published online September 18, 2018
DOI: https://doi.org/10.3803/EnM.2018.33.3.364
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AbstractAbstract PDFPubReader   ePub   
Background

Genetic variations in calpain-10 and adiponectin gene are known to influence insulin secretion and resistance in type 2 diabetes mellitus. Recently, several single nucleotide polymorphisms (SNPs) in calpain-10 and adiponectin gene have been reported to be associated with type 2 diabetes and various metabolic derangements. We investigated the associations between specific calpain-10 and adiponectin gene polymorphisms and Korean type 2 diabetes patients.

Methods

Overall, 249 type 2 diabetes patients and 131 non-diabetic control subjects were enrolled in this study. All the subjects were genotyped for SNP-43 and -63 of calpain-10 gene and G276T and T45G frequencies of the adiponectin gene. The clinical characteristics and measure of glucose metabolism were compared within these genotypes.

Results

Among calpain-10 polymorphisms, SNP-63 T/T were more frequent in diabetes patients, and single SNP-63 increases the susceptibility to type 2 diabetes. However, SNP-43 in calpain-10 and T45G and intron G276T in adiponectin gene were not significantly associated with diabetes, insulin resistance, nor insulin secretion.

Conclusion

Variations in calpain-10, SNP-63 seems to increase the susceptibility to type 2 diabetes in Koreans while SNP-43 and adiponectin SNP-45, -276 are not associated with impaired glucose metabolism.

Citations

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Obesity and Metabolism
Serum Albumin Levels: A Simple Answer to a Complex Problem? Are We on the Right Track of Assessing Metabolic Syndrome?
Sohee Kim, Shinae Kang
Endocrinol Metab. 2013;28(1):17-19.   Published online March 25, 2013
DOI: https://doi.org/10.3803/EnM.2013.28.1.17
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  • 8 Crossref
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Endocrinol Metab : Endocrinology and Metabolism