- Clinical Diabetes & Therapeutics
- Association between Serum Selenium Level and the Presence of Diabetes Mellitus: A Meta-Analysis of Observational Studies
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Juno Kim, Hye Soo Chung, Min-Kyu Choi, Yong Kyun Roh, Hyung Joon Yoo, Jung Hwan Park, Dong Sun Kim, Jae Myung Yu, Shinje Moon
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Diabetes Metab J. 2019;43(4):447-460. Published online January 2, 2019
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DOI: https://doi.org/10.4093/dmj.2018.0123
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- Background
Epidemiological studies have suggested an association between selenium (Se) and diabetes mellitus (DM). However, different studies have reported conflicting results. Therefore, we performed a comprehensive meta-analysis to clarify the impact of Se on DM. MethodsWe searched the PubMed database for studies on the association between Se and DM from inception to June 2018. ResultsTwenty articles evaluating 47,930 participants were included in the analysis. The meta-analysis found that high levels of Se were significantly associated with the presence of DM (pooled odds ratios [ORs], 1.88; 95% confidence interval [CI], 1.44 to 2.45). However, significant heterogeneity was found (I2=82%). Subgroup analyses were performed based on the Se measurement methods used in each study. A significant association was found between high Se levels and the presence of DM in the studies that used blood (OR, 2.17; 95% CI, 1.60 to 2.93; I2=77%), diet (OR, 1.61; 95% CI, 1.10 to 2.36; I2=0%), and urine (OR, 1.49; 95% CI, 1.02 to 2.17; I2=0%) as samples to estimate Se levels, but not in studies on nails (OR, 1.24; 95% CI, 0.52 to 2.98; I2=91%). Because of significant heterogeneity in the studies with blood, we conducted a sensitivity analysis and tested the publication bias. The results were consistent after adjustment based on the sensitivity analysis as well as the trim and fill analysis for publication bias. ConclusionThis meta-analysis demonstrates that high levels of Se are associated with the presence of DM. Further prospective and randomized controlled trials are warranted to elucidate the link better.
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- Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
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Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
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Diabetes Metab J. 2018;42(6):475-479. Published online December 17, 2018
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DOI: https://doi.org/10.4093/dmj.2018.0231
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5,847
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Citations to this article as recorded by - DMJ, Better than Yesterday, More Brilliant Tomorrow
Kyu Chang Won
Diabetes & Metabolism Journal.2019; 43(1): 1. CrossRef
- Clinical Care/Education
- Comprehensive Approach for Managing the Older Person with Diabetes Mellitus
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Hyung Joon Yoo
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Diabetes Metab J. 2017;41(3):155-159. Published online May 18, 2017
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DOI: https://doi.org/10.4093/dmj.2017.41.3.155
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4,234
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Care of the elderly population with diabetes may not be restricted to the management of hyperglycemia, associated risk factors, and specific diabetic complications. An integrated approach should also include the assessment and management of gerontological problems. Both diabetes mellitus and aging interact toward the direction of the increased incidence of geriatric syndromes. Education is a common element of both diabetes control and geriatric syndrome care. However, it has been perceived that conventional education programs for diabetics are not as effective for the elderly. We have designed geriatric reinforced education (GRE) for application in older diabetics with geriatric syndromes. We observed that the application of GRE improved the glucose control and the status of geriatric syndromes in older adults with diabetes. In summary, in terms of integrating the care of coexisting diabetes and geriatric problems, GRE may be a beneficial tool for the management of older adults with diabetes. -
Citations
Citations to this article as recorded by - The Relationship Between Diabetes Knowledge Level, Physical Activity, and Quality of Life in Older Adults
Burçin AKÇAY, Tuğba KURU ÇOLAK, Sultan İĞREK, Bahar ÖZGÜL, Adnan APTI
Bandırma Onyedi Eylül Üniversitesi Sağlık Bilimleri ve Araştırmaları Dergisi.2023; 5(2): 162. CrossRef - Evaluation of diabetes self-management education in geriatrics with type 2 diabetes in Turkey
Emre S. SAYGILI, Ersen KARAKILIÇ, Serap YASA, Emine ŞEN
Minerva Endocrinology.2022;[Epub] CrossRef - Treatment Goals for Glycemia in Older Patients with Diabetes Mellitus
Jung Ah Lim
The Journal of Korean Diabetes.2019; 20(4): 220. CrossRef - Circular RNA and its mechanisms in disease: From the bench to the clinic
Bing Han, Jie Chao, Honghong Yao
Pharmacology & Therapeutics.2018; 187: 31. CrossRef
- Is A1C Variability an Independent Predictor for the Progression of Atherosclerosis in Type 2 Diabetic Patients?
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Chul Sik Kim, So Young Park, Sung Hoon Yu, Jun Goo Kang, Ohk Hyun Ryu, Seong Jin Lee, Eun Gyung Hong, Hyeon Kyu Kim, Doo-Man Kim, Jae Myung Yoo, Sung Hee Ihm, Moon Gi Choi, Hyung Joon Yoo
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Korean Diabetes J. 2010;34(3):174-181. Published online June 30, 2010
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DOI: https://doi.org/10.4093/kdj.2010.34.3.174
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4,987
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9
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- Background
Little is known about the relative contribution of long-term glycemic variability to the risk of macrovascular complications in type 2 diabetes. This study was conducted to evaluate the effect of A1C variability on the progression of carotid artery intima-media thickness (IMT) in type 2 diabetic patients. MethodsAmong type 2 diabetic patients who visited Hallym University Sacred Heart Hospital from March 2007 to September 2009, 120 patients who had carotid artery IMT measured annually and A1C checked every three months for at least one year were analyzed. Individual A1C variability was defined as the standard deviation (SD) of five A1C levels taken every three months for approximately one year. Change in IMT was defined as an increase in IMT on follow-up measurement. The association between the SD of A1C and changes in IMT was evaluated. ResultsWith greater A1C variability, there was a greater increase in the mean IMT (r = 0.350, P < 0.001) of the carotid artery. After adjusting for confounding factors that may influence IMT, A1C variability was significantly associated with the progression of IMT (r = 0.222, P = 0.034). However, the SD of A1C was not a significant independent risk factor for the progression of IMT in multiple regression analysis (β = 0.158, P = 0.093). ConclusionHigher A1C variability is associated with IMT progression in type 2 diabetic patients; however, it is not an independent predictor of IMT progression. Overall glycemic control is the most important factor in the progression of IMT.
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Citations
Citations to this article as recorded by - Long-Term Risk of Cardiovascular Disease Among Type 2 Diabetes Patients According to Average and Visit-to-Visit Variations of HbA1c Levels During the First 3 Years of Diabetes Diagnosis
Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef - Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial
Dan Huang, Yong-Quan Huang, Qun-Ying Zhang, Yan Cui, Tian-Yi Mu, Yin Huang
Frontiers in Cardiovascular Medicine.2021;[Epub] CrossRef - Association of Longitudinal Values of Glycated Hemoglobin With Cardiovascular Events in Patients With Type 2 Diabetes and Multivessel Coronary Artery Disease
Paulo Cury Rezende, Mark Andrew Hlatky, Whady Hueb, Rosa Maria Rahmi Garcia, Luciano da Silva Selistre, Eduardo Gomes Lima, Cibele Larrosa Garzillo, Thiago Luis Scudeler, Gustavo Andre Boeing Boros, Fernando Faglioni Ribas, Carlos Vicente Serrano, Jose An
JAMA Network Open.2020; 3(1): e1919666. CrossRef - Haemoglobin A1c variability as an independent correlate of atherosclerosis and cardiovascular disease in Chinese type 2 diabetes
Yifei Mo, Jian Zhou, Xiaojing Ma, Wei Zhu, Lei Zhang, Jie Li, Jingyi Lu, Cheng Hu, Yuqian Bao, Weiping Jia
Diabetes and Vascular Disease Research.2018; 15(5): 402. CrossRef - Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study
Mette V Skriver, Annelli Sandbæk, Jette K Kristensen, Henrik Støvring
BMJ Open Diabetes Research & Care.2015; 3(1): e000060. CrossRef - Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes
Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Kun-Ho Yoon, Byung-Hee Hwang, Kiyuk Chang, Kyungdo Han, Gunseog Kang, Jae Hyoung Cho
Journal of Diabetes and its Complications.2015; 29(6): 776. CrossRef - Glycated hemoglobin as a marker of subclinical atherosclerosis and cardiac remodeling among non-diabetic adults from the general population
Robin Haring, Sebastian E. Baumeister, Wolfgang Lieb, Bettina von Sarnowski, Henry Völzke, Stephan B. Felix, Matthias Nauck, Henri Wallaschofski
Diabetes Research and Clinical Practice.2014; 105(3): 416. CrossRef - HbA1c Variability and Micro- and Macrovascular Complications of Diabetes
Hae Kyung Yang, Seung-Hwan Lee
The Journal of Korean Diabetes.2014; 15(4): 202. CrossRef - HbA1c variability and the development of microalbuminuria in type 2 diabetes: Tsukuba Kawai Diabetes Registry 2
A. Sugawara, K. Kawai, S. Motohashi, K. Saito, S. Kodama, Y. Yachi, R. Hirasawa, H. Shimano, K. Yamazaki, H. Sone
Diabetologia.2012; 55(8): 2128. CrossRef
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