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Jae Eog Ahn 4 Articles
A Retrospective cohort study on the effect of health counselling through the level of gamma-GTP after screening test.
Yong Jin Lee, Jae Eog Ahn, Joo Ja Kim, Byung Kook Lee
Korean J Prev Med. 1997;30(3):518-529.
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1,281 male subjects who had been examined more than 3 times for regular check-up in one human dock center of the university hospital were studied between 1990-1995, to evaluate the effect of health counseling with life style and gamma-GTP value between 1054 normal group without intervention and 227 abnormal group with intervention, ages from 30 to 69 years old. Total mean value of gamma-GTP was 45.7+/-40.7 unit with highest gamma-GTP value in age group 50-59 on initial examination. Total abnormal rate was 17.7% with the highest abnormal rate of 18.6% in age group 50-59. Initially, the value of gamma-GTP was significantly different according to the degree of alcohol intake, relative weight and smoking in normal group(p<0.01) not in abnormal group. In conclusion, the value of gamma-GTP were significantly increasing in normal group without intervention and significantly decreasing in abnormal group with intervention(p<0.05), which suggests the effect of health counseling, such as the recommendation to change the health behaviour.
Summary
An analysis of liver function test of preemployment screening for office workers.
Yeon Gyo Shin, Yong Jin Lee, Jae Eog Ahn, Kuck Hyeun Woo, Joo Ja Kim, Byung Kook Lee
Korean J Prev Med. 1995;28(3):706-714.
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This is to analyze and compare the distribution of the liver function test and its abnormal rates of the preemployment screening for office workers in asymptomatic young age groups between female and male. Liver function test(SGPT and SGOT) of 8,184 young adults(2,633 in female and 5,551 in male) were examined during the period from Jan.1,1994 to Dec. 31, 1994. The results were as follows; 1. Mean level of SGPT was 9.l+/-7.6(IU/L) in female, 21.0+/-27.9(IU/L) in male, and that of SGOT was 15.1+/-6.0(IU/L) in female, 20.5+/-26.5(IU/L) in male. There were significant differences(p<0.01) between female and male in both SPT and SGOT. And also there was significant increasing trend(p<0.05) by age groups in male for SGPT, decreasing trend(p<0.01) in female for SGOT. 2. In the abnormal rates of liver function test by the level of cut-off value, there were significant differences up to twice between the lowest and the highest cut-off value in both female(0.4% vs 0.7%) and male(6.5% vs 12.4%) 3. Abnormal rate of SGPT was 0.4% in female and 6.3% in male, and that of SGOT was 0.2% in female and 1.2% in male with significant differences between female and male in both tests.
Summary
A cross-sectional study on prevalence rate and contributing factors of fatty liver diagnosed by ultrasonography.
Jae Eog Ahn, Jung Oh Ham, Kyu Yoon Hwang, Joo Ja Kim, Byung Kook Lee, Tack Sung Nam, Joung Soon Kim, Hun Kim
Korean J Prev Med. 1991;24(2):195-210.
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AbstractAbstract PDF
Fatty liver is caused by derangement of fat metabolism and can be reversed by removal of contributing factors. The contributing factors of fatty liver is known to be overweight, chronic alcoholism, diabetes mellitus, malnutrition, and drug abuse such as tetracycline. This study was carried out on 1335 persons who visited 'Soon Chun Hyang Human Dock Center' from March to June 1990. In analysis of the data, prevalence of fatty liver diagnosed by ultrasonogram by age and sex, laboratory finding between fatty liver group and normal group, and odds ratio of known contributing factors, were compared. The results obtained are as following; 1) The prevalence rate of fatty liver diagnosed by ultrasonogram is 29.6% in male and 11.5% in female. 2) Age groups with high prevalences are 40~50's in male (32.0%) and 50's in female (24.5%). 3) The fatty liver shows significant association with style (p<0.05), whereas not with hepatitis B-virus surface antigen (p>0.05). 4) All laboratory values except alkaline phosphatase and bilirubin are elevated significantly in accordance with the degree of fatty liver (p<0.01). 5) Fatty liver diagnosed by ultrasonogram showed so strong associations with body index, triglycerides and gamma-glutamyl transferase for males, and body index and fasting blood sugar for females that these factors may be used as supplementary data in establishing diagnosis of fatty liver. 6) Odds ratio of contributing factors are as follows; If the odds ratio of below 29 year of age is 1.0 then that of 30~39 is 1.74 (p=0.33), 40~49 is 2.47 (p=0.10), 50~59 is 2.86 (p=0.0570), over 60 is 1.81 (p=0.34). If the odds ratio of female is 1.0 then that of male is 5.67 (p<0.01). If the odds ratio of body index below zero is 1.0 then that of 0~9 is 5.08 (p<0.01), 10~19 is 12.37 (p<0.01), 20~29 is 29.19 (p<0.01), 30 above is 154.02 (p<0.01). If the odds ratio of below 99 mg/dl FBS is 1.0 then that of 100~120 is 106 (p=0.76), over 120 is 1.91 (p=0.02). If the odds ratio of below 29 micron/1 gamma-GT is 1.0 then that of 30~s59 is 2.11 (p<0.01), 60~90 is 1.87 (p<0.05), 90 above is 1.69 (p=0.15). If the odds ratio of below 149 mg/dl TG is 1.0 then 150~199 is 1.49 (p=0.05), 200~250 is 1.09 (p=0.77), 250 above is 2.53 (p<0.01). In summary, early diagnosis of fatty liver could be made by ultrasonogram supplemented with body index and serum triglyceride. The fatty liver could be preventive by avoiding contributing factors such as obesity, alcohol intake, high blood sugar appropriately.
Summary
Relationship of between blood lead level and lead related symptoms in low level lead exposure.
Kyu Yoon Hwang, Jae Eog Ahn, Kyu Dong Ahn, Byung Kook Lee, Joung Soon Kim
Korean J Prev Med. 1991;24(2):181-194.
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AbstractAbstract PDF
This study intended to obtain an useful information on the prevalence of subjective symptoms, and to clarify the interrelationships between blood lead and lead related symptoms in low level lead exposure. The 93 male workers exposed to lead and 56 male nonexposed workers were examined for their blood lead (PBB), Zinc-protoporphy (ZPP), hemoglobin (HB) and personal history, and completed 15 questionnaires related to symptoms of lead absorption; also measured lead concentration in air (PBA) in the workplace. The results obtained were as follow; 1. The means of blood lead (PBB), blood ZPP and hemoglobin (HB) among workers exposed to lead were 26.1+/-8.8 microgram/dl, 28.3+/-26.0 microgram/dl and 16.2+/-1.2g/dl; whereas those of nonexposed workers were 18.7+/-5.1 microgram/dl, 20.6+/-8.7 microgram/dl and 17.3+/-1.1g/dl. The means of above three indicies between two groups showed significant difference statistically (p<0.05). 2. The means of blood lead (PBB), blood ZPP and hemoglobin of workers exposed to different lead concentration in air were as follows; When it was below 25 microgram/m3 , the indices were 24.7+/-79, 26.1+/-26.8 microgram/dl and 16.4+/-1.1 g/dl respectively; These indices were 27.1+/-8.5, 23.9+/-10.92 /dl and 16.2+/-1.3 g/dl when the lead concentration in air was 25~50 microgram/m3; and they were 3.4+/-9.3, 42.3+/-31.3 microgram/dl and 15.5+/-1.2 g/dl when the concentration of lead was above 50 microgram/m3. Although there were statistical difference in blood lead and hemoglobin among three different lead concentration in air, there was no statistical difference of blood ZPP among the three groups with different exposure levels (p>0.05). 3. The most frequently by complained symptom was "Generalized weakness and fatigue", and fewest symptom was "Intermittent pains in abdomen". 4. Only two symptoms out of fifteen symptoms checked by themselves revealed significant difference between exposed and nonexposed groups. These were "Intermittent pains of abdomen" and "Joint pain or arthralgia" (p<0.05). No positive correlation was found between the levels of blood lead and symptom groups categorized as gastrointestinal, neuromuscular and constitutional symptoms. 5. Blood lead (r=0.3995) and ZPP (r=0.2837) showed statistically significant correlation with mean lead concentration in air, whereas correlations were not demonstrated between blood lead and lead related symptoms or blood ZPP and lead related symptoms. 6. Blood lead (PBB) and ZPP showed association (r=0.2466) and the equation PBB=23.75+0.0842 ZPP was derived. 7. On stepwise multiple regression, using blood lead level as a dependent variable and ZPP, hemoglobin (HB), age, work duration (WD) and symptom prevalence as a independent variables, only ZPP significantly contributed a lot to blood lead level. 8. While the ZPP measurement was found to be a good indicator in evaluating health effect of lead absorption in low level lead exposure, lead related symptoms were not sensitive enough to evaluate of lead absorption in low level exposure.
Summary

JPMPH : Journal of Preventive Medicine and Public Health