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Sung Cheol Yun 6 Articles
The Decline of Health-Related Quality of Life Associated with Some Diseases in Korean Adults.
Seol Ryoung Kil, Sang Il Lee, Sung Cheol Yun, Hyung Mi An, Min Woo Jo
J Prev Med Public Health. 2008;41(6):434-441.
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  • 15 Crossref
AbstractAbstract PDF
This study was conducted to measure the decline in the health-related quality of life (HRQoL) associated with some diseases in South Korean adults. METHODS: The EQ-5D health states in the 2005 National Health and Nutrition Examination Survey (NHNES) and the Korean EQ-5D valuation set were used to obtain the EQ-5D indexes of the study subjects. Each disease group was defined when the subjects reported to the NHNES that they were diagnosed with the corresponding disease during the previous 1 year by physicians. Since the distributions of the EQ-5D indexes in each subgroup were negatively skewed, median regression analysis was used to estimate the effects of specific diseases on the HRQoL. Median regression analysis produced estimates that approximated the median of the EQ-5D indexes and there are more robust for analyzing data with many outliers. RESULTS: A total of 16,692 subjects (6,667 patients and 10,025 people without any disease) were included in the analysis. As a result of the median regression analysis, stroke had the strongest impact on the HRQoL for both males and females, followed by osteoporosis, osteoarthritis, rheumatic arthritis, and herniation of an intervertebral disc. While asthma had a significant impact on the HRQoL only in men, cataract, temporo-mandibular dysfunction, and peptic ulcer significantly affected the HRQoL only in women. CONCLUSIONS: Stroke and musculoskeletal diseases were associated with the largest losses of the HRQoL in Korean adults.


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    Sun-Hee Joung, YeogSeon Hong, AeRee Sohn
    Korean Journal of Health Education and Promotion.2015; 32(3): 33.     CrossRef
  • Prediction Model for Health-Related Quality of Life of Elderly with Chronic Diseases using Machine Learning Techniques
    Soo-Kyoung Lee, Youn-Jung Son, Jeongeun Kim, Hong-Gee Kim, Jae-Il Lee, Bo-Yeong Kang, Hyeon-Sung Cho, Sungin Lee
    Healthcare Informatics Research.2014; 20(2): 125.     CrossRef
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    Journal of the Korea Academia-Industrial cooperation Society.2014; 15(1): 274.     CrossRef
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    Ji-Young No, Soon-Young Kim, In-Sun Kweon, Hae-Sung Nam
    Journal of the Korea Academia-Industrial cooperation Society.2014; 15(6): 3751.     CrossRef
  • Impact of Post-Stroke Cognitive Impairment with No Dementia on Health-Related Quality of Life
    Jung Hyun Park, Beom Joon Kim, Hee-Joon Bae, Jisung Lee, Juneyoung Lee, Moon-Ku Han, Kyung Yoon O, Seong Ho Park, Yeonwook Kang, Kyung-Ho Yu, Byung-Chul Lee
    Journal of Stroke.2013; 15(1): 49.     CrossRef
  • Difference in Health-related Quality of Life among Social Classes and Related Factors in Korea
    Gyeong-Tae Lim, In-Sun Kwon, Soon-Young Kim, Young-Chae Cho, Hea-Sung Nam
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(5): 2189.     CrossRef
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    Kyeong-Ae Oh, Jong Park, Dae-Jung Jeon, Mi-Ah Han, Seong-Woo Choi
    Journal of agricultural medicine and community health.2012; 37(3): 156.     CrossRef
  • Regional differences in health status in China: Population health-related quality of life results from the National Health Services Survey 2008
    Sun Sun, Jiaying Chen, Magnus Johannesson, Paul Kind, Ling Xu, Yaoguang Zhang, Kristina Burström
    Health & Place.2011; 17(2): 671.     CrossRef
  • Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008
    Sun Sun, Jiaying Chen, Magnus Johannesson, Paul Kind, Ling Xu, Yaoguang Zhang, Kristina Burström
    Quality of Life Research.2011; 20(3): 309.     CrossRef
Occupational Differentials in Cigarette Smoking in South Korea: Findings from the 2003 Social Statistics Survey.
Hong Jun Cho, Young Ho Khang, Sung Cheol Yun
J Prev Med Public Health. 2006;39(4):365-370.
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AbstractAbstract PDF
The purpose of this study was to investigate the differences in smoking rates according to the major occupational categories in South Korea. METHODS: The study subjects were a weighted sample of 24,495 men and 26,121 women aged 25-64 from the 2003 Social Statistics Survey, which was conducted by the Korea National Statistical Office. Occupation was classified according to the Korean Standard Occupation Classification. We computed the age-standardized smoking rates according to gender and occupations after adjusting for the education level, marital status, and self-rated health. RESULTS: For men, the smoking rate in elementary occupations was two times higher than that of clerks (OR= 1.98, 95% CI=1.74-2.26). In general, a more prestigious job(professionals) correlated with lower smoking rates, and less prestigious jobs correlated with higher smoking rates, except for legislators, senior officials and managers. For women, smoking among service workers was 4.1 times higher than among clerical workers (OR=4.11, 95% CI= 2.87-5.88). For women, their occupations, except elementary workers, and the unemployed, the retired and the armed forces, failed to show significant differences in smoking compared with the clerical workers. After adjusting for education, occupational differences in the smoking rate for men were attenuated in most occupations, except for legislators, professionals, and technicians. Further adjustment for marital status and self-rated health had a minimal effect on the occupational differences in the smoking rate for men. For women workers with service or elementary occupations, the ORs of smoking were attenuated with adjustment of the educational levels. However, the ORs of smoking were increased in workers with service, sales or elementary occupations, as well as for legislators, and the unemployed, the retired and the armed forces, after additionally adjusting for marital status. CONCLUSIONS: More prestigious jobs generally correlated with lower smoking rates in both sexes. The anti-tobacco policy should consider smoking rate differentials by occupations.
A Multilevel Study on the Relationship between the Residential Distribution of High Class (Power Elites) and Smoking in Seoul.
Chang Seok Kim, Sung Cheol Yun, Hye Ryun Kim, Young Ho Khang
J Prev Med Public Health. 2006;39(1):30-38.
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AbstractAbstract PDF
We examined whether the neighborhood socioeconomic position predicts the smoking rates after adjusting for individual socioeconomic position indicators. METHODS: Data were obtained from the 2001 Seoul Health Indicators Survey. The neighborhood socioeconomic position was the residential distribution of the high class (power elites), as measured by the location quotients (LQ) for each administrative dong (district). A high LQ denotes a high neighborhood socioeconomic status. The individual socioeconomic position included education, occupation and income. Age-adjusted smoking rates according to the LQ level were computed with the direct method. The total number of subjects in this study (26,022 men and 28,007 women) was the reference. A multilevel logistic regression analysis was conducted with the individuals at the first level and the neighborhoods at the second level to estimate the odds ratios of smoking with 95% confidence intervals. RESULTS: For men, the age-adjusted smoking rates increased with a decrease in the LQ. For women, the relationship between the age-adjusted smoking rate and the LQ was not clear. The odds of smoking for both genders were greater among those subjects with lower incomes and lower education. The manual occupational class had greater odds of smoking than the non-manual class for the males, while the odds ratio of smoking among females with a manual occupation tended to be lower than those females with a non-manual occupation. For the males, the LQ levels independently predicted smoking after adjustment for individual income. However, this relation between the LQ and smoking in males was explained by full adjustment for the individual socioeconomic position indicators (education, occupation and income). CONCLUSIONS: A low level of neighborhood socioeconom-ic position was associated with higher smoking rates among the men residing in Seoul. This association between the neighborhood socioeconomic position and smoking in men was explained by the individual socioeconomic position. Anti-smoking efforts to reduce geographical inequality in smoking should be directed at reducing the smoking rates between the individuals with different socioeconomic backgrounds in the metropolitan city of Seoul, South Korea.
Changes in Mortality Inequality in Relation to the South Korean Economic Crisis: Use of Area-based Socioeconomic Position.
Young Ho Khang, Sung Cheol Yun, In A Hwang, Moo Song Lee, Sang Il Lee, Min Woo Jo, Min Jung Lee
J Prev Med Public Health. 2005;38(3):359-365.
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  • 61 Download
AbstractAbstract PDF
An abrupt economic decline may widen the socioeconomic differences in health between the advantaged and disadvantaged in a society. The aim of this study was to examine whether the South Korean economic crisis of 1997-98 affected the socioeconomic inequality from all-causes and from cause-specific mortality between 1995 and 2001. METHODS: Population denominators were obtained from the registration population data, with the number of death (numerators) calculated from raw death certificate data. The indicator used to assess the geographic socioeconomic position was the per capita regional tax revenue. Administrative districts (Si-Gun-Gu) were ranked according to this socioeconomic measure, and divided into equal population size quintiles on the basis of this ranking. The sex- and 5-year age-specific numbers of the population and deaths were used to compute the sex- and age-adjusted mortality rates (via direct standardization method), standardized mortality ratios (via indirect standardization methods) and relative indices of inequality (RII) (via Poisson regression). RESULTS: Geographic inequalities from all-causes of mortality, as measured by RII, did not increase as a result of the economic crisis (from 1998-2001). This was true for both sexes and all age groups. However, the cause-specific analyses showed that socioeconomic inequalities in mortalities from external causes were affected by South Korean economic crisis. For males, the RIIs for mortalities from transport accidents and intentional self-harm increased between 1995 and 2001. For females, the RII for mortality from intentional self-harm increased during the same period. CONCLUSIONS: The South Korean economic crisis widened the geographic inequality in mortalities from major external causes. This increased inequality requires social discourse and counter policies with respect to the rising health inequalities in the South Korean society.
Census Population vs. Registration Population: Which Population Denominator Should be used to Calculate Geographical Mortality.
Young Ho Khang, In A Hwang, Sung Cheol Yun, Moo Song Lee, Sang Il Lee, Min Woo Jo, Min Jung Lee
J Prev Med Public Health. 2005;38(2):147-153.
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  • 46 Download
AbstractAbstract PDF
Studies on the geographical differences in mortality tend to use a census population, rather than a registration population, as the denominator of mortality rates in South Korea. However, an administratively determined registration population would be the logical denominator, as the geographical areas for death certificates (numerator) have been determined by the administratively registered residence of the deceased, rather than the actual residence at the time of death. The purpose of this study was to examine the differences in the total number of a district population, and the associated district-specific mortality indicators, when two different measures as a population denominator (census and registration) were used. METHODS: Population denominators were obtained from census and registration population data, and the numbers of deaths (numerators) were calculated from raw death certificate data. Sex- and 5-year age-specific numbers for the populations and deaths were used to compute sex- and age-standardized mortality rates (by direct standardization methods) and standardized mortality ratios (by indirect standardization methods). Bland-Altman tests were used to compare district populations and district-specific mortality indicators according to the two different population denominators. RESULTS: In 1995, 9 of 232 (3.9%) districts were not included in the 95% confidence interval (CI) of the population differences. A total of 8 (3.4%) among 234 districts had large differences between their census and registration populations in 2000, which exceeded the 95% CI of the population differences. Most districts (13 of 17) exceeding the 95% CI were rural. The results of the sexand age-standardized mortality rates showed 15 (6.5%) and 16 (6.8%) districts in 1995 and 2000, respectively, were not included in the 95% CI of the differences in their rates. In addition, the differences in the standardized mortality ratios using the two different population denominators were significantly greater among 14 districts in 1995 and 11 districts in 2002 than the 95% CI. Geographical variations in the mortality indicators, using a registration population, were greater than when using a census population. CONCLUSION: The use of census population denominators may provide biased geographical mortality indicators. The geographical mortality rates when using registration population denominators are logical, but do not necessarily represent the exact mortality rate of a certain district. The removal of districts with large differences between their census and registration populations or associated mortality indicators should be considered to monitor geographical mortality rates in South Korea.
Imputation of Missing values.
Sung Cheol Yun
J Prev Med Public Health. 2004;37(3):209-211.
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AbstractAbstract PDF
No abstract available.

JPMPH : Journal of Preventive Medicine and Public Health