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Kui Oak Jung 3 Articles
Nested Case-control Study on the Association between Alcohol and the Risk of Proximal Hip Fracture in the Elderly People in Korea.
Byung Joo Park, Kui Oak Jung, Hye Won Koo, Jong Myon Bae
Korean J Epidemiol. 1999;21(1):93-103.
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Abstract
OBJECTIVE: To assess the association between alcohol drinking and hip fracture in the elderly people in Korea. BACKGROUND: Hip fracture is known as one of the major health problems because of its high incidence and serious consequences in the elderly people. The association between alcohol consumption and hip fractures has not been directly evaluated yet in Korea. So we conducted a nested case-control study to investigate the relationship between alcohol consumption and hip fracture in the Korean elderly people. DESIGN: Nested case-control study from the Korea Elderly Pharmacoepidemiology Cohort (KEPEC), in Pusan, Korea.
METHODS
Seventy incident cases have been selected since 1993, and 280 controls have been matched with the cases by age and gender among the KEPEC. Average alcohol intake was calculated by multiplying frequency and amount of drinking and unit capacity of each alcohol type. Odds ratios of alcohol intake on the hip fracture and their confidence intervals were computed by using multiple logistic regression with Windows version SAS 6.12.
RESULTS
The elderly people's drinking rate is lower than the young people in Korea. In univariate analysis, crude odds ratio was 0.26 in male and adjusted odds ratio after contolling for age, smoking status, medication history, physical activity and body mass index was 0.36 in male. So current drinking reduces the risk of hip fracture. Adjusted odds ratio after controlling for age, smoking status, medication history, physical activity and body mass index odds ratio was 0.24 in female with moderate drinking.
CONCLUSION
We found that alcohol consumption reduces the risk of hip fracture in the elderly Korean. However, we could not explain the plausible mechanism with our data yet. So, we suggest the further study for elucidating the possible mechanism of the finding including the possible association between nutritional status, alcohol drinking and bone marrow density in the elderly.
Summary
Cohort Study on the Association getween Smoking and Proximal Hip Fracture in the Elderly People in Korea.
Byung Joo Park, Kui Oak Jung, Jong Myon Bae, Hye Won Koo, Dae Sung Kim
Korean J Epidemiol. 1998;20(2):246-256.
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Abstract
OBJECTIVE: To assess the association between cigarette smoking and hip fracture by using the Korea Pharmacoepidemiology Cohort(KPEC). BACKGROUND: Hip fracture is known as one of the major health problems because of its high incidence and serious consequences in the elderly people. Cigarette smoking, old age, female and low body weight have been reported as risk factors for osteoporosis which is regarded as one of the risk factors for hip fracture. But the relationship between cigarette smoking and hip fracture has not been directly evaluated yet. So we conducted a prospective cohort study to investigate the relationship between cigarette smoking and hip fracture in the Korean elderly. DESIGN: Prospective cohort study on the 8,994 elderly person aged 65 or more in Pusan, Korea between 1993 to 1996. METHODS: The Korea Phamacoepidemiology Cohort(KPEC) has been constructed with three kinds of data sources. One is from the Korea Medical Insurance Corporation; Medical Insurance Claims Database and Enrollee's Database. Other sources are from directly constructed pharmacy database and questionnaire data. incidence density and relative risk of smoking for hip fracture were estimated by using the KPEC database. Age and gender specific incidence density was calculated by dividing the number of hip fracture cases by person-years of the follow-up the cohort. Relative risks and their confidence intervals were computed by using multiple logistic regression by Windows version SAS 6.12.
RESULTS
The level of incidence density in female was higher than that in male, which was increasing with age in both gender. In the multivariate analysis, we observed significant relationship between soking and hip fracture in female(PR=1.94(1.01-3.76)) in the larger amount smoking group, after adjusting for the confounders; age, alcohol drinking, medication history, physical activity and body mass index, the relative risk became slightly decreased to 1.70(0.84-3.46).
CONCLUSION
Accoding to this result, we suggest that effective anti-smoking campaign should be established as soon as possible for the Korean elderly women.
Summary
Risk Factors of Hypertension and The Effect of These Factors on Blood Pressure.
Hae Sook Sohn, Chae Un Lee, Jin Ho Chun, Jung Hak Kang, Hwi Dong Kim, Kui Oak Jung, Kyu Il Cho
Korean J Epidemiol. 1995;17(2):201-213.
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AbstractAbstract PDF
Abstract
This study was conducted to find out the risk factors of hypertension and the effect of thesefactors on blood pressure. The eighteen factors were collected on the subjects of 932 from November 1994 to January 1995 through questionnaire and laboratory test - those were age, sex, education level, body mass index(BMI), family history of hypertension (FHH), triglyceride (TG), blood sugar and lactate dehydrogenase(LDH), etc. The status of blood pressure was classified by the classification of hypertension proposed by Joint National Committee of hypertension, USA. The prevalence of diastolic hypertension was 17.7% and the prevalence of systolic hypertension was 11.6 %. In the frequency analysis on the status of blood pressure, by age, education level, smoking habit, RM, BMI, FBS, LDH, TG, the prevalences were significantly different for both diastolic and systolic hypertension(p(0. 05). By stepwise logistic regression with dichotemization of blood pressure, the following odds ratios were significantly high (p, 0.05) - for diastolic hypertension, age 1.973, BMI 2. 106, FHH 2, 102, LDH 2. 773, TG 1.715, and for systolic hypertension, age 4.414, BMI 1.563, FHH 2.125, RM 0.487, LDH 3.814, TG 2. 707. By multiple regression analysis with blood pressure as dependent variable and these factors as independent variables, the regression equationswere diastolic hypertension =51.07+0.20.age+0.07 BMI+0.02.TG+0.02.LDH+3.22.FHH, and systolic hypertension = 88. 59+0.23.age+0.06.BMI+5.46.FHH-2.62.RM+0.03.LDH+0,03.TG By this study, the significant risk factors of hypertension were age, BMI, TG, family history of hypertension, LDH, and efficient control of hypertension would be expected through control of these factors.
Summary

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