• 월간산업보건
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• 통권188호
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• pp.43-51
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• 2003

본 분석기법은 유해인자별 작업환경측정 및 특수건강진단 시료를 분석할 때 간편하게 활용할수 있는 방법으로 산업보건관련 유관기관에 실질적인 도움을 주고자 합니다. 이 분석기법들 중에는 공식적으로 검증, 채택되지 아니한 기법이 있음을 알립니다.

• 보건교육건강증진학회지
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• 제19권2호
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• pp.15-22
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• 2002

The purpose of the study was to assess relationship between smoking-related questionnaire and urinary cotinine. Seventy-five students of each one class of the first and second grade in one vocational school were administered the smoking-related items of the Youth Risk Behavior Survey October 2000, after which urine samples were collected. Urinary cotinine was detected by qualitative AccuSign Nicotine immunoassay. Positivity of urinary cotinine was detected in 29 of 75 students (38.7%). Kappa coefficients between self-reported smoking behaviors and positivity of urinary cotinine were all statistically significant, showing 0.41, 0.50, 0.28, 0.71 in lifetime smokers, regular smokers, current smokers, and current frequent smokers, respectively. These results showed that self-reported questionnaire may be useful in smoking-related survey and qualitative urinary cotinine may be used as validation of self-reported questionnaire.

• 한국환경보건학회:학술대회논문집
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• 한국환경보건학회 2002년도 춘계 국제 학술대회
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• pp.6-8
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• 2002

Many adolescents stay long time in the PC game room and are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations and urinary cotinine concentrations were measured for 20 adolescents at 2 PC game rooms in Sung-nam city. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 non-smokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and non-smokers were 129.72 $\mu\textrm{g}$/㎥ and 99.99 $\mu\textrm{g}$/㎥, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu\textrm{g}$/L for non-smoker and smokers. Urinary cotinine has a tendency to be increased by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• 한국환경보건학회지
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• 제28권1호
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• pp.11-20
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• 2002

Tobacco smoke was confirmed as a human carcinogen by many research results. Because many adolescents stay long time in the PC game room, they are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations in 2 PC game rooms in Sung-nam city and urinary cotinine concentrations were measured for 20 adolescents. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 nonsmokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and nonsmokers were 129.72 $\mu$g/$^3$ and 99.99 $\mu$g/m$^3$, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu$g/L for nonsmoker and smokers. The more using time and frequency in PC game room, the higher urinary cotinine maximum concentration and the longer using duration, also the more increase urinary cotinine concentration. Urinary cotinine has a tendency to increase by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• 한국보건간호학회지
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• 제21권1호
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• pp.37-45
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• 2007

Purpose: A diverse range of measurement methods to evaluate the effect of smoking is more powerful than using a single measure. The objectives of this study were to examine the relationships among smoking pack year, self-reported smoking dependence, and urinary cotinine levels, and to investigate the psychological variables in working men. Method: In this cross-sectional study, we surveyed men working in an electronic company who participated in a smoking cessation program. Among 57 men who completed questionnaires, 25 participate in a test for cotinine levels. Results: Smoking pack year was significantly and positively correlated with the FTND-K (Korean version of Fagerstrom test for nicotine dependence) sum scores (r=0.631, p=0.000) and with the levels of urine cotinine (r=0.463, p=0.023). The relationship between FTND-K sum scores and urinary cotinine levels was also significantly positive (r=0.639, p=0.001). Those with higher social support, especially family support, tended to perceive a higher self-efficacy to smoking cessation. Conclusion: These findings suggest that self-reported smoking pack year and nicotine dependence in working men may be a valid way to evaluate the effect of smoking. A supportive family may influence smoking cessation in working men as it increases self-efficacy to avoid smoking.

• Journal of Yeungnam Medical Science
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• 제28권1호
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• pp.45-53
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• 2011

Background: Increasing numbers of young people go to clubs. In Korea, however, no studies have been conducted regarding the exposure of club patrons to secondhand smoke. The present study was conducted to evaluate the degree of club customers' exposure to secondhand smoke. Methods: The study subjects included 10 male and 12 female non-smokers. The investigational site was a club located in Daegu. Urine samples were collected before exposure to secondhand smoke in the club and 6 hours after a 3-hour exposure. The urine cotinine levels were measured via the LC -MS/MS method. A survey was conducted to collect data regarding the subjects' smoking experiences and the degree of exposure to secondhand smoke in their daily lives. Results: The average urine cotinine level increased from 1.09 ${\mu}g/L$ to 5.55 ${\mu}g/L$ ($p$<0.05). No significant difference existed in the change in urine cotinine level between the male and female subjects. In addition, there was no significant difference in the change in urine cotinine level by the degree of exposure to secondhand smoke in daily life. Conclusions: The average urine cotinine level in all the subjects significantly increased after exposure to secondhand smoke. This is the first study on exposure to secondhand smoke in clubs; these results can be used to craft measures that reduce exposure to secondhand smoke in public places, such as clubs.

• Journal of Preventive Medicine and Public Health
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• 제34권3호
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• pp.269-276
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• 2001

Objectives : To evaluate the internal burden and hazardous effects associated with smoking in middle and high school students. Methods : We analysed urinary cotinine(U-cotinine) concentrations and the frequency of Sister Chromatid Exchanges (SCE). A comparison was done of U-cotinine concentrations and the frequency of SCE in peripheral lymphocytes across school levels (middle vs. high) and smoking types (direct: daily & occasional smoking, indirect; usual indirect & non-smoking), in 122 males. Results : The middle school student group comprised 6.8% daily smokers, 15.9% occasional smokers, 40.9% daily indirect smokers, and 35.4% nonsmokers, while the high school student group comprised 18.0%, 20.5%, 35.7%, and 21.8%, respectively. The U-cotinine concentration and the frequency of SCE among the middle school students were $79.11{\mu}g/l$ and 2.0 per cell, respectively, which were significantly lower than the $146.85{\mu}g/l$ (p=0.078) and 2.6 per cell (p=0.005) of the high school students. Among the 40 direct smokers, these two biomarkers were $236.66{\mu}g/l$ and 2.59 per cell, significantly higher than the $67.33{\mu}g/l$ (p=0.0001) and 2.1 per cell (p=0.003) among indirect smoking groups. The variation in individual U-cotinine concentration ranged widely in both the indirect and direct smoking groups. Conclusion : Urinary cotinine concentrations and the frequency of Sister Chromatid Exchange seem to objectively and effectively evaluate student exposure whether it was direct or indirect smoking. Consequently, these biomarkers may be useful in monitoring the objective efficacy of anti-smoking programs in adolescent populations.