1.The Epidemiology of Dermatophyte Infection in Southeastern Korea (1979~2013).
Sang Lim KIM ; Kyou Chae LEE ; Yong Hyun JANG ; Seok Jong LEE ; Do Won KIM ; Weon Ju LEE ; Yong Jun BANG ; Jae Bok JUN
Annals of Dermatology 2016;28(4):524-527
No abstract available.
Arthrodermataceae*
;
Epidemiology*
;
Korea*
2.Prevalence of Onychomycosis in Korea over 10 Years (2006~2015).
Ji Hyun LEE ; Kyung Do HAN ; Hyo Jung KIM ; Ju Hee HAN ; Hyun Min SEO ; Chul Hwan BANG ; Jun Young LEE ; Young Min PARK
Korean Journal of Dermatology 2018;56(10):655-657
No abstract available.
Epidemiology
;
Korea*
;
Onychomycosis*
;
Prevalence*
3.A Brief Overview of the Epidemiology of Pheochromocytoma and Paraganglioma in Korea
Endocrinology and Metabolism 2020;35(1):95-96
No abstract available.
Epidemiology
;
Korea
;
Paraganglioma
;
Pheochromocytoma
4.Epidemiology of Lung Cancer in Korea.
Cancer Research and Treatment 2002;34(1):3-5
No abstract available.
Epidemiology*
;
Korea*
;
Lung Neoplasms*
;
Lung*
5.An Epidemiologic Survey of Strabismus among School-Children in Korea.
Sang Hoon RAH ; Hong Sang JUN ; Soon Hyun KIM
Journal of the Korean Ophthalmological Society 1997;38(12):2195-2199
We Performed an epidemiologic survey for strabismus among primary school-children in order to investigate the number of strabismus from March 1995 to February 1996. Cover-uncover test and prism cover test were used. The results were as follows:1. Out of 9054 1st grade primary school-children examined, 322(3.56%) were found as strabismus. 2. 322 cases of strabismus include 262(81.4%)exodeviation and 60(18.6%) esodeviation. 3. Alternating type and monocular type strabismus have no difference both in exotropia and esotrapia. 4. In exotropia and esotropia, no sexual predilection was found. 5. Most portion of deviation angle distribute between 11 to 20 prism diopter. 6. The difference of number of strabismus between big cities and small cities was statistically insignificant(p>0.05).
Epidemiology
;
Esotropia
;
Exotropia
;
Korea*
;
Strabismus*
6.Epidemiology of Helicobacter pylori Infection in Korea.
Journal of the Korean Medical Association 1997;40(9):1173-1179
No abstract available.
Epidemiology*
;
Helicobacter pylori*
;
Helicobacter*
;
Korea*
7.Development and Application of Chronic Disease Risk Prediction Models.
Sun Min OH ; Katherine M STEFANI ; Hyeon Chang KIM
Yonsei Medical Journal 2014;55(4):853-860
Currently, non-communicable chronic diseases are a major cause of morbidity and mortality worldwide, and a large proportion of chronic diseases are preventable through risk factor management. However, the prevention efficacy at the individual level is not yet satisfactory. Chronic disease prediction models have been developed to assist physicians and individuals in clinical decision-making. A chronic disease prediction model assesses multiple risk factors together and estimates an absolute disease risk for the individual. Accurate prediction of an individual's future risk for a certain disease enables the comparison of benefits and risks of treatment, the costs of alternative prevention strategies, and selection of the most efficient strategy for the individual. A large number of chronic disease prediction models, especially targeting cardiovascular diseases and cancers, have been suggested, and some of them have been adopted in the clinical practice guidelines and recommendations of many countries. Although few chronic disease prediction tools have been suggested in the Korean population, their clinical utility is not as high as expected. This article reviews methodologies that are commonly used for developing and evaluating a chronic disease prediction model and discusses the current status of chronic disease prediction in Korea.
Cardiovascular Diseases/epidemiology
;
Chronic Disease/*epidemiology
;
Communicable Diseases/*epidemiology
;
Humans
;
Korea/epidemiology
;
*Models, Theoretical
;
Risk Factors
8.Development and Application of Chronic Disease Risk Prediction Models.
Sun Min OH ; Katherine M STEFANI ; Hyeon Chang KIM
Yonsei Medical Journal 2014;55(4):853-860
Currently, non-communicable chronic diseases are a major cause of morbidity and mortality worldwide, and a large proportion of chronic diseases are preventable through risk factor management. However, the prevention efficacy at the individual level is not yet satisfactory. Chronic disease prediction models have been developed to assist physicians and individuals in clinical decision-making. A chronic disease prediction model assesses multiple risk factors together and estimates an absolute disease risk for the individual. Accurate prediction of an individual's future risk for a certain disease enables the comparison of benefits and risks of treatment, the costs of alternative prevention strategies, and selection of the most efficient strategy for the individual. A large number of chronic disease prediction models, especially targeting cardiovascular diseases and cancers, have been suggested, and some of them have been adopted in the clinical practice guidelines and recommendations of many countries. Although few chronic disease prediction tools have been suggested in the Korean population, their clinical utility is not as high as expected. This article reviews methodologies that are commonly used for developing and evaluating a chronic disease prediction model and discusses the current status of chronic disease prediction in Korea.
Cardiovascular Diseases/epidemiology
;
Chronic Disease/*epidemiology
;
Communicable Diseases/*epidemiology
;
Humans
;
Korea/epidemiology
;
*Models, Theoretical
;
Risk Factors
9.Smoking Rather than Diet Deficiency is Related with Airway Obstruction in Korea.
The Korean Journal of Internal Medicine 2010;25(2):130-131
No abstract available.
Airway Obstruction/*epidemiology
;
Humans
;
Malnutrition/*epidemiology
;
Republic of Korea/epidemiology
;
Risk Factors
;
Smoking/*epidemiology
10.Definition and Epidemiology of Irritable Bowel Syndrome.
The Korean Journal of Gastroenterology 2006;47(2):94-100
Irritable bowel syndrome (IBS) is characterized by abdominal discomfort, bloating and disturbed defecation in the absence of any identifiable physical, radiologic or laboratory abnormalities indicative of organic gastrointestinal disease. Diagnosis is based on the identification of symptoms according to Manning, Rome I and Rome II criteria and exclusion of alarm indicators. Approximately, 10-20% of the general population has IBS, and it affects female more often than male for unexplained pathophysiologic reasons. In Korea, it has been reported that the prevalence of IBS is 2.2-6.6% by Rome II criteria and 22.3% by Manning criteria. The health care-seeking population was only 28.6% of community population. Although most patients do not seek medical help, the disease accounts for huge costs for both patients and health-care systems and worsens patients' quality of life significantly.
Humans
;
*Irritable Bowel Syndrome/diagnosis/epidemiology
;
Korea/epidemiology