1.Cardiovascular Disease Risk Factors and Obesity Levels in Korean Adults: Results from the Korea National Health and Nutrition Examination Survey, 2007–2015.
Kwanjun PARK ; Sunmi LIM ; Yoonhyung PARK ; Woong JU ; Yoonhee SHIN ; Hansol YEOM
Osong Public Health and Research Perspectives 2018;9(4):150-159
OBJECTIVES: The increase in the obesity rate in adult males in Korea is higher than countries in the Organization for Economic Co-operation and Development and other Asian countries. We examined the trends and prevalence of major risk factors for cardiovascular disease by evaluating the weight status amongst adults from 2007 to 2015. METHODS: The study included 37,402 adults, who participated in the Korea National Health and Nutrition Examination Survey. The prevalence trends of cardiovascular disease risk factors were estimated for each body mass index group. RESULTS: From 2007 to 2015, significant increases in the prevalence of hypertension, diabetes, and hypercholesterolemia were observed in normal weight adults (0.03 percentage point (%p), 0.06%p, and 0.13%p, respectively). Amongst the overweight and obese adults, a significant increase in the prevalence of hypercholesterolemia was observed, During this period, the prevalence of smoking decreased amongst obese adults and no significant changes in drinking habits and physical activity were noted across all body mass index groups. CONCLUSION: The prevalence of obesity in Korean adults is increasing, and it is necessary to implement interventions to prevent further weight gain and obesity-associated cardiovascular disease.
Adult*
;
Asian Continental Ancestry Group
;
Body Mass Index
;
Cardiovascular Diseases*
;
Drinking
;
Humans
;
Hypercholesterolemia
;
Hypertension
;
Korea*
;
Male
;
Motor Activity
;
Nutrition Surveys*
;
Obesity*
;
Overweight
;
Prevalence
;
Risk Factors*
;
Smoke
;
Smoking
;
Weight Gain
2.The Effects of Clinical Education Program for Nurses in Regional Public Hospital.
Yoonhee SHIN ; Kwanjun PARK ; Eunkyung BYUN ; Dongwon LEE ; Woong JU
Health Policy and Management 2016;26(4):373-381
BACKGROUND: The purpose of this study is to evaluate the outcomes of clinical education program for nurses in regional public hospital, utilizing the Kirkpatrick's model. METHODS: Kirkpatrik's 4-level model was applied to this study. Trainees were asked to fill out questionnaires in the middle and at the end of the program. Also administrators of excellent trainees were asked to fill out the questionnaires regarding nursing management performance after 1-2 months from the end of the training course. RESULTS: All trainees had positive reactions to the clinical education program. Not only the results of individual level (satisfaction and achievement scores, academic achievement scores, practical application rate, and educational transition factors) but also the scores of organization level (nursing management performance scores) are improved. CONCLUSION: By showing a correlation between the effectiveness factors we need to verify the relationship between these factors in a future study. In addition, development of quantitative and qualitative performance indicators are needed. To establish a long-term education system, it is required to applying the excellent trainee's successful experiences.
Administrative Personnel
;
Education*
;
Hospitals, Public*
;
Humans
;
Nursing
3.Association between Pollen Risk Indexes, Air Pollutants, and Allergic Diseases in Korea
Hoseob KIM ; Yoonhyung PARK ; Kwanjun PARK ; Byoungin YOO
Osong Public Health and Research Perspectives 2016;7(3):172-179
Objectives:
This study, different from the past researches, has been conducted in all age groups to understand the association between air pollutants, pollen risk indexes, and outpatients with allergic rhinitis (AR), asthma, and atopic dermatitis (AD).
Methods:
Data on air pollutants, pollen risk indexes, and outpatients with each disease were collected from 2003 through 2011 to verify the association between them. All data are time-series materials that have been observed by time (day) and region, and are in a nonlinear shape. In particular, the total number of outpatients per day is a count data that had a Poisson distribution as the response variable. SAS 9.3 was used to make a statistical model, generalized additive model, with lag effects for the analysis.
Results:
For allergic diseases during spring (April–May) and fall (September-October), a significant association was shown between the variables of air pollutants, pollens, and the number of outpatients. Especially, the estimates of NO2 [AR (43.00967 ± 0.11284), asthma (52.01837 ± 0.06452), AD (52.01837 ± 0.06452), p < 0.001] in spring and SO2 [AR (43.00967 ± 0.11284), asthma (52.01837 ± 0.06452), AD (52.01837 ± 0.06452), p < 0.001] in fall were highly significant and showed a positive association with all diseases.
Conclusion
Domestically and even internationally, various studies on the allergic diseases are being conducted. However, not many studies related to similar studies. In the need of creating grounds to back up these efforts, additional studies on allergic diseases, as well as researches utilizing pollen data, air pollution data, and claims data provided by the Health Insurance Corporation that has no problem in the representativeness of the data that have close relationships to the allergic disease will be needed.
4.A 9-year Trend in the Prevalence of Allergic Disease Based on National Health Insurance Data.
Byoungin YOO ; Yoonhyung PARK ; Kwanjun PARK ; Hoseob KIM
Journal of Preventive Medicine and Public Health 2015;48(6):301-309
OBJECTIVES: To investigate trends in the prevalence of allergic disease over a 9-year period. METHODS: Using National Health Insurance Service (NHIS) data, the annual number of patients with allergic disease was obtained for each regional subdivisions (small cities, counties, and districts) from 2003 to 2011. Annual populations for each sub-region were obtained and used to calculate the standardized prevalence. To compare prevalence within the study period, data was standardized spatially and temporally. For standardization, demographic data was used to obtain the registered population and demographic structure for 2010, which was used to perform direct standardization of previous years. In addition, a geographic information system (GIS) was used to visualize prevalence for individual sub-regions, and allergic diseases were categorized into five groups according to prevalence. RESULTS: The nationwide outpatient prevalence of allergic rhinitis increased approximately 2.3-fold, from 1.27% in 2003 to 2.97% in 2013, while inpatient prevalence also increased approximately 2.4-fold,. The outpatient prevalence of asthma increased 1.2-fold, and inpatient prevalence increased 1.3-fold. The outpatient prevalence of atopic dermatitis decreased approximately 12%, and inpatient prevalence decreased 5%. CONCLUSIONS: There was a large difference between prevalence estimated from actual treatment data and prevalence based on patients' self-reported data, particularly for allergic rhinitis. Prevalence must continually be calculated and trends should be analyzed for the efficient management of allergic diseases. To this end, prevalence studies using NHIS claims data may be useful.
Adolescent
;
Adult
;
Aged
;
Asian Continental Ancestry Group
;
Asthma/epidemiology
;
Child
;
Child, Preschool
;
Databases, Factual
;
Dermatitis, Atopic/epidemiology
;
Female
;
Geographic Information Systems
;
Humans
;
Hypersensitivity/*epidemiology
;
Infant
;
Infant, Newborn
;
Middle Aged
;
National Health Programs
;
Prevalence
;
Republic of Korea/epidemiology
;
Rhinitis, Allergic/epidemiology
;
Young Adult

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