1.Cause-of-Death Trends for Diabetes Mellitus over 10 Years (Korean Diabetes J 33(1):65-72, 2009).
Korean Diabetes Journal 2009;33(2):166-166
No abstract available.
Diabetes Mellitus
2.Cause-of-Death Trends for Diabetes Mellitus over 10 Years (Korean Diabetes J 33(1):65-72, 2009).
Korean Diabetes Journal 2009;33(2):164-165
No abstract available.
Diabetes Mellitus
3.Recent advances in the treatment of diabetes mellitus.
Korean Journal of Medicine 1999;57(4):836-847
No abstract available.
Diabetes Mellitus*
4.Diabetes mellitus.
Korean Journal of Medicine 1999;57(2):238-241
No abstract available.
Diabetes Mellitus*
5.A Case of Transient Neonatal Diabetes Mellitus.
Hye Hyun KIM ; Kyung Ha RYU ; Keun LEE
Journal of the Korean Pediatric Society 1988;31(10):1346-1349
No abstract available.
Diabetes Mellitus*
6.Development of a Health Information Web Site Evaluation Categories with Items for Diabetes Mellitus.
Se Won KANG ; Ji Soo YOO ; Il Sun KO
Journal of Korean Society of Medical Informatics 2005;11(4):345-352
OBJECTIVE: The purpose of this study was to develop a health information web site evaluation categories with items for diabetes mellitus in order to offer verified health information, and to propose directions for development of web sites. METHODS: A preliminary evaluation categories with items was developed using domestic and foreign web site evaluation standards for health information and through a review of the literature. The evaluation categories with items was composed of 'evaluation for web site attributes' and 'evaluation for content information on diabetes mellitus'. Through expert validity tests and a feasibility test of the preliminary tool, the health information Web site evaluation tool for diabetes mellitus was finalized. RESULTS: This evaluation categories with items included 'evaluation for web site attributes' and 'evaluation for content information on diabetes mellitus'. 'Evaluation for web site attributes' included 8 categories with 28 items. The 'evaluation for content information on diabetes mellitus' included 7 categories with 40 items. 'Evaluation component for content' and 'evaluation of category content' included 4 items on 'accuracy', 6 on 'harmfulness' and 3 on 'comprehensibility'. CONCLUSION: From this study guidelines are propose for providing health information for diabetes mellitus, so that health information providers will be able to offer consumers verified good quality health information themselves.
Diabetes Mellitus*
7.How Can We Easily Measure Glycemic Variability in Diabetes Mellitus?.
Diabetes & Metabolism Journal 2015;39(2):114-116
No abstract available.
Diabetes Mellitus*
8.A 5-year follow-up visual evoked potentials and nerve conduction study in young adults with type 1 diabetes mellitus
Heon-Seok Han ; Heon Kim ; Sang-Soo Lee
Neurology Asia 2016;21(4):367-374
Central nervous system impairment is common in diabetic patients, even in the early stages of the
disease, and could be associated with peripheral neuropathy. The aims of this study were to prospectively
investigate central nerve conduction in young adults with type 1 diabetes using pattern-reversal visual
evoked potentials (PRVEP) and to determine how those results were related to clinical risk factors and
the parameters of the peripheral nerve conduction study (NCS). A total of 36 type 1 diabetic patients
(15 males) 5-24 years of age (mean 14.5 ± 4.7) underwent PRVEP and NCS annually for five years.
For comparison, 39 healthy age and sex matched individuals (mean 14.8 ± 5.0) were evaluated as
the control group. The P100 latencies of the PRVEP were prolonged at the study entry in the patients
compared with the controls (p< 0.001). Significant correlations were not found between any of the
parameters of PRVEP and the glycosylated hemoglobin levels; however, the changes in the parameters
of the peripheral NCS were well correlated with metabolic control. The latencies and amplitudes of
the P100 were not related to the majority of the parameters of the NCS. A prolonged PRVEP latency
may be a sign of optic pathway dysfunction, which begins before apparent diabetic retinopathy. Poor
glycemic control proved to be an important risk factor over the 5 years in terms of its relation to
the development of peripheral neural pathway abnormalities. However, once central conduction was
delayed, its changes were poorly related to diabetic control and the attributes of the peripheral nerve
conduction study over the 5-year follow-up.
Diabetes Mellitus
9.Diabetes Mellitus and Diet: Few Important Facts to Ponder
Srijit Das ; Farihah Haji Suhaimi ; Christopher Ho ; Ho Siew Eng
Malaysian Journal of Health Sciences 2015;13(1):33-37
Diabetes mellitus (DM) is a metabolic disease which is characterized by hyperglycemia. There is either disturbance in
insulin secretion or defective insulin action or even a combination of both. Usually, there are few confounding factors
like genetic, obesity, sedentary life style, atherosclerosis, and even faulty dietary habits which lead or aggravate DM.
Usually, the individual does not care and often the complications resulting from hyperglycaemia are fatal. Complications
in DM involve the cardiovascular, musculoskeletal, endocrine, renal and neurological systems in the body. Treatment of
diabetic complications is not only costly but it is also a burden on the affected families. The present review discusses the
challenges faced in DM with special concern on diet and food habits. Knowledge of proper food consumption may also
help an individual combat complication in DM and reduce the mortality and morbidity.
Diabetes Mellitus
10.Usage of Mobile Applications in Diabetes Management: A Review
Nur Suraiya Abu Hassan Shaari ; Zahara Abdul Manaf ; Nazlena Mohamad Ali ; Suzana Shahar ; Nor Azlin Mohamed Ismail
Malaysian Journal of Health Sciences 2016;14(2):1-10
Peer-reviewed articles on the usage of mobile applications in the management of diabetes were reviewed. Studies using
mobile device applications for diabetes interventions published between January 2007 and March 2013 were included in
this review. Studies related to the developmental processes of the mobile applications were excluded. The characteristics
of these studies and the outcomes of the methods used in the management of diabetes were gathered. We retrieved a
total of 372 articles from ACM Digital library, PubMed and Proquest Medical Library. After applying the inclusion and
exclusion criteria, 8 articles were eligible for further review. Most of the studies included in this review showed the
effectiveness of mobile applications in diabetes management. Their major contribution comes from feedback functions of
the systems that assist participants in the self-monitoring of their blood glucose and dietary intake. However, the majority
of the studies showed the limited use of the mobile phone as a tool to input information into systems which would in
turn convey a reminder message to the patient. In conclusion, with its features of portability and convenience, mobile
application used in the management of diabetes has the potential to improve glycaemic control, resulting in significant
clinical and financial benefits.
Diabetes Mellitus