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      • SCOPUSKCI등재

        CMI에 의(依)한 일부(一部) 남여(男女) 대학생(大學生)들의 건강실태(健康實態)의 평가(評價)와 학업성적(學業成績)과의 관계(關係)

        주덕원,정규철,Joo, Duck-Won,Chung, Kyou-Chull 대한예방의학회 1977 Journal of Preventive Medicine and Public Health Vol.10 No.1

        By evaluating the health status by Cornell Medical Index in conjunction with their academic grade, we attempted to find out whether any health condition may affect on their academic carrier. CMI health questionnaire was filled out by student and matched with one's own academic score if the previous year. Academic score was classified into 5 grades: excellent, very good, good, fair and poor. Difference in number of questions between sections was corrected by standard score method with means of 50 and standard deviation of 10. Differences in number of 'yes' answers between sections and between groups of students in each grade were statistically tested by two-way variance analysis method. On the other hand, influence of neuropsychiatric factors (section M-R) on the academic carrier was analyzed by $X^2-test$ with Fukamachi's classification. The following were the results obtained in this study: 1) Number of 'yes' answers in sections related to mood and feeling patterns (sections M-R) were appeared to be influential to academic carrier in male students, but not in female students. 2) Generally speaking, in groups of higher academic grade, number of 'yes' answers in each section was on an averege 50 or less, and in groups of lower academic grade, the number was 50 or more depending on sections. 3) Number of 'yes' answers between sections and between groups in each academic grade were significantly different both in male and female college students. 4) It was noteworthy that data obtained from CMI questionnaire might be variable subjectively by examinees with some factors at the time of administration.

      • 우리나라 어른 남자의 피, 오줌 및 머리칼에 함유된 수은량의 추정

        정규철,주덕원 중앙대학교 의과대학 의과학연구소 1981 中央醫大誌 Vol.6 No.4

        For a purpose of searching a rational means of estimating an amount of mercury absorption in normal metabolic process, and to obtain data concerning normal concentrations of mercury in blood, urine and hair of the male adults living in Seoul, Korea, 58 male volunteers aged from 20 to 30 years of age who had no obvious exposure to mercury for occupational and/or therapeutic purposes were selected, and mercury concentrations in blood, urine and hair specimens collected from them were analyzed by dithizone calorimetric method. 1. Frequency distribution of mercury concentrations in urine and hair specimens were well fitted to the log-normal distribution with the equivalent sample means and standard deviations, and that of mercury in blood was fitted to both the normal and the log-normal distributions. 2. Mean mercury concentration in the 24-hour urine specimens was ln^-1 2.48 ㎍/ℓ±ln^-1 0.67㎍/ℓ (x ̄_g±s_g=11.95㎍/ℓ;X_max-X_min=23.3㎍/ℓ∼6.12㎍/ℓ). 3. Frequency distribution of mercury concentrations in the 24-hour urine specimens was better fitted to the log-normal distribution when the value was adjusted by specific gravity of urine 1.024 or per gram of creatinine excretion per liter of urine. Mean value of mercury excretion in the 24-hour urine specimens was ln^-1 2.88㎍/ℓ×((0.024/S.G.-1.000)±ln^-1 0.60㎍/ℓ) × ((0.024/S.G.-1.000)(x ̄_g±s_g=1. 81㎍/ℓ))×((0.024/S.G.-1.000)±1.65㎍/ℓ)×(0.024/S.G.-1.000);X_max∼X_min=(29.9㎍/ℓ×(0.024/S.G.-1.000)-11.0㎍/ℓ×(0.024/S.G.-1.000)), and ln^-1 2.89㎍/g · creatinine/ℓ±ln^-1 0.62㎍/g·creatinine/ℓ (x ̄_g±s_g=18.0㎍/g)·creatinine/ℓ±1.86㎍/g · creatinine/ℓ;X_max∼X_min=33.5㎍/g·creatinine/ℓ∼9.7㎍/g·creatinine/ℓ),respectively. 4. Frequency distribution of mercury concentrations in hourly-voided urine specimens was fitted to the log-normal distribution as well, showing the mean of ln^-1 3.07㎍/g·creatinine/ℓ±ln^-1 0.77㎍/g·creatinine/ℓ(x ̄_g±s_g=21.5㎍/g·creatinine/ℓ±2.16㎍/g·creatinine/ℓ);X_max∼X_min=46.4㎍/g·creatinine/ℓ∼10.0㎍/g·creatinine/ℓ) with greater dispersion of mercury excretion than in the 24-hour urine specimens. 5. Mercury excretion in the hourly-voided urine specimens showed a diurnal varition (p<0.01), as minimal as ln^-1 2.72㎍/g·creatinine/ℓ±ln^-1 0.76㎍/g·creatinine/ℓ(x ̄_g±s_g=15.2㎍/g·creatinine/ℓ±2.14㎍/g·creatinine/ℓ);X_max∼X_min=32.5㎍/g·creatinine/ℓ±7.10㎍/g·creatinine/ℓ) in urinevoided at 6 o'clock in the morning and as maximal as ln^-1 3.34㎍/g·creatinine/ℓ+ln^-1 0.58㎍/g·creatinine/ℓ (x ̄_g±s_g=26.6㎍/g·creatinine/ℓ±2.10㎍/g·creatinine/ℓ);X_max∼X_min=55.9㎍/g·creatinine/ℓ∼12.7㎍/g·creatinine/ℓ) in urine viided at 1 o'clock in the afternoon. 6. Frequency distribution of mercury concentrations in blood was fitted to both the normal and the log-normal distributions with the arithmetic mean of x ̄±s=30.2㎍/100ml±14.96㎍/100ml and the geometric mean of ln^-1 3.23㎍/100ml±ln^-1 0.57㎍/100ml(x ̄_g±s_g=25.3㎍/100ml±1.77㎍/100ml;X_max∼X_min=44.8㎍/100ml∼14.29㎍/100ml). 7. Frequency distribution of mercury concentrations in hair was log-normally distributed with the mean of ln^-1 0.45㎍/㎍/g±ln^-1 0.56㎍/g(x ̄_g±s_g=1.57㎍/g;X_max∼X_min=2.75㎍/g∼0.90㎍/g) 8. Frequency distribution of mercury concentrations in urine, when expressed in terms of ㎍ per liter, was well fitted to the logarithmic, exponential and power curves with that in hair (㎍/g). No relationship, however, was found between mercury in urine and in blood (㎍/100ml), and between mercury in blood and in hair.

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