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Original Articles

The association between urine cotinine level and hemoglobin and hematocrit levels: a cross-sectional study using the Korea National Health and Nutrition Examination Survey VIII (2019–2021)
Jaehyun An, Yaeji Lee, Ehn-Young Kim, Yu-Jin Kwon, Ji-Won Lee
Received August 28, 2024  Accepted February 6, 2025  Published online June 30, 2025  
DOI: https://doi.org/10.4082/kjfm.24.0212    [Epub ahead of print]
Background
Smoking is a global health risk known to elevate hemoglobin (HB) levels through its effects on hematopoiesis. Urine cotinine, a metabolite strongly correlated with serum cotinine, serves as an effective biomarker for assessing smoking status. This study aimed to explore the relationship between urinary cotinine levels and both HB and hematocrit (HCT) levels in a Korean population.
Methods
The study analyzed 4,454 healthy participants, categorized into three groups based on urine cotinine tertiles. Steiger’s Z tests were used to assess correlations between HB, HCT levels, and urine cotinine. After adjusting for clinical variables, multiple linear regression was employed to evaluate the relationship between urine cotinine levels and HB/HCT. Receiver operating characteristic curves helped determine the cut-off values for urine cotinine in relation to HB and HCT levels.
Results
After adjusting for covariates, a positive correlation was found between urine cotinine and both HB and HCT levels. HB levels were 18% higher in the second tertile and 23% higher in the highest tertile than the lowest. Similarly, HCT levels increased by 44% in the second tertile and 50% in the highest tertile. The highest tertiles of HB and HCT had values of 504.650 and 202.950, respectively, with area under the curve values of 0.634 for HB and 0.616 for HCT.
Conclusion
This study demonstrates a significant correlation between urine cotinine levels and elevated HB and HCT levels in a representative Korean population. Clinicians should consider urine cotinine levels when assessing anemia in smokers or individuals exposed to secondhand smoke. Further research is needed to validate these findings.
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Background
Similar to smoking, exposure to secondhand smoke is a risk factor for developing hypertension and cardiovascular diseases; however, there is no standardized method for measuring smoke exposure. Measuring urine cotinine levels is one possible means for determining the degree of exposure to secondhand smoke. This study investigated the association between urinary cotinine levels and blood pressure in Korean adults exposed to secondhand smoke.
Methods
Data from the Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018 were used. A total of 9,273 participants aged ≥19 years self-reported as current non-smokers, which was cotinine- verified. A complex sample general linear model regression analysis was performed to analyze the association between urine cotinine and blood pressure. A P-value of <0.05 was considered statistically significant.
Results
Corrected urine cotinine levels were positively associated with systolic and diastolic blood pressure in female participants (P<0.001 and P=0.040, respectively). Furthermore, a 10-fold increase in the corrected urine cotinine level of those in contact with secondhand smoke was independently associated with 2.085 mm Hg and 0.575 mm Hg increases in systolic and diastolic blood pressure, respectively. However, there was no association between systolic and diastolic blood pressure in male participants (P=0.226 and P=0.256, respectively).
Conclusion
Urinary cotinine levels were positively associated with increased blood pressure in females exposed to secondhand smoke. Therefore, urinary cotinine may be used as an indicator to quantify and monitor the effects of blood pressure elevation in females exposed to secondhand smoke.

Citations

Citations to this article as recorded by  
  • Association between the urine tobacco metabolite levels and physical health in Chinese primary school students with secondhand smoke exposure
    Menghan Cheng, Miao Zhang, Wen Fang, Hong Qin, Yue Pan, Shengyi Chen, Guiqi Cao, Yao Zhang, Yu Lu
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Assessment of smoking exposure by urine cotinine levels in severe COVID-19 patients: a case-control study
    Medeni Arpa, Bayram Şen, Leyla Kazancıoğlu, Hülya Kılıç
    Scientific Reports.2025;[Epub]     CrossRef
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  • 173 Download
  • 2 Web of Science
  • 2 Crossref
Discrepancy between Self-Reported and Urine-Cotinine Verified Smoking Status among Korean Male Adults: Analysis of Health Check-Up Data from a Single Private Hospital
Youngju Kim, Yoon-Jung Choi, Seung-Won Oh, Hee-Kyung Joh, Hyuktae Kwon, Yoo-Jin Um, Sang Hyun Ahn, Hyun Joo Kim, Cheol Min Lee
Korean J Fam Med 2016;37(3):171-176.   Published online May 26, 2016
DOI: https://doi.org/10.4082/kjfm.2016.37.3.171
Background

Enquiry into smoking status and recommendations for smoking cessation is an essential preventive service. However, there are few studies comparing self-reported (SR) and cotinine-verified (CV) smoking statuses, using medical check-up data. The rates of discrepancy and under-reporting are unknown.

Methods

We performed a cross-sectional study using health examination data from Healthcare System Gangnam Center, Seoul National University Hospital in 2013. We analyzed SR and CV smoking statuses and discrepancies between the two in relation to sociodemographic variables. We also attempted to ascertain the factors associated with a discrepant smoking status among current smokers.

Results

In the sample of 3,477 men, CV smoking rate was 11.1% higher than the SR rate. About 1 in 3 participants either omitted the smoking questionnaire or gave a false reply. The ratio of CV to SR smoking rates was 1.49 (95% confidence interval [CI], 1.38–1.61). After adjusting for confounding factors, older adults (≥60 years) showed an increased adjusted odds ratio (aOR) for discrepancy between SR and CV when compared to those in their twenties and thirties (aOR, 5.43; 95% CI, 2.69–10.96). Educational levels of high school graduation or lower (aOR, 2.33; 95% CI, 1.36–4.01), repeated health check-ups (aOR, 1.45; 95% CI, 1.03–2.06), and low cotinine levels of <500 ng/mL (aOR, 2.03; 95% CI, 1.33–3.09), were also associated with discordance between SR and CV smoking status.

Conclusion

Omissions and false responses impede the accurate assessment of smoking status in health check-up participants. In order to improve accuracy, it is suggested that researcher pay attention to participants with greater discrepancy between SR and CV smoking status, and formulate interventions to improve response rates.

Citations

Citations to this article as recorded by  
  • Association of social jetlag with cigarette smoking, smoking intensity, and quitting intentions among Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Public Health.2025; 47(3): 610.     CrossRef
  • Alcohol dependence trajectories and smoking cessation among Korean men who smoke: A secondary data analysis from the Korean longitudinal study of aging dataset
    Minjung Han, Heewon Kang, Hae-ryoung Chun, Sung-il Cho
    Tobacco Induced Diseases.2025; 23(July): 1.     CrossRef
  • Associations of long working hours with the use of combustible cigarettes, electronic cigarettes, and heated tobacco products among young adults: a population-based study of South Korea
    Seong-Uk Baek, Jin-Ha Yoon
    Postgraduate Medical Journal.2025;[Epub]     CrossRef
  • The effect of healthy eating on the development of stomach and colorectal cancer by the smoking and drinking status: Results from the Korean National Cancer Center (KNCC) community cohort study
    Yuri Han, Jin‐Kyoung Oh, Min Kyung Lim
    Cancer Medicine.2024;[Epub]     CrossRef
  • Effect of lifestyle modification on hepatocellular carcinoma incidence and mortality among patients with chronic hepatitis B
    Yewan Park, Danbee Kang, Dong Hyun Sinn, Hyunsoo Kim, Yun Soo Hong, Juhee Cho, Geum-Youn Gwak
    World Journal of Gastroenterology.2023; 29(24): 3843.     CrossRef
  • Association between job satisfaction and current smoking and change in smoking behavior: a 16‐year longitudinal study in South Korea
    Seong‐Uk Baek, Won‐Tae Lee, Min‐Seok Kim, Myeong‐Hun Lim, Jin‐Ha Yoon, Jong‐Uk Won
    Addiction.2023; 118(11): 2118.     CrossRef
  • Evaluating the impact of varying expired carbon monoxide thresholds on smoking relapse identification: insights from the E3 trial on e-cigarette efficacy for smoking cessation
    Celine Prell, Andréa Hébert-Losier, Kristian B. Filion, Pauline Reynier, Mark J. Eisenberg
    BMJ Open.2023; 13(10): e071099.     CrossRef
  • Current status of tobacco use, cessation and control policy in Korea
    Cheol Min Lee
    Journal of the Korean Medical Association.2022; 65(12): 789.     CrossRef
  • Secondhand tobacco smoke exposure among children under 5 years old: questionnaires versus cotinine biomarkers: a cohort study
    Nerea Mourino, Mónica Pérez-Ríos, Maria Isolina Santiago-Pérez, Bruce Lanphear, Kimberly Yolton, Joseph M Braun
    BMJ Open.2021; 11(6): e044829.     CrossRef
  • Association between Parental Cotinine-verified Smoking Status and Childhood Asthma: a Population-based Nationally Representative Analysis
    Jinho Jung, Hyun Joon Park, Minyoung Jung
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Validity assessment of self-reported smoking status in firefighters using the urine cotinine test
    Han Cheol Heo, Young Seok Byun, Soo Ho Sohn, Seong Min Jo, Sung Kyu Park, Joon Sakong
    Annals of Occupational and Environmental Medicine.2020;[Epub]     CrossRef
  • Are Self-Reported Surveys Accurate for Assessing the Use of Novel Tobacco Products Such as Electronic Cigarettes and Heated Tobacco Products?
    Cheolmin Lee, Hyeji Shin, Sunghee Kim, Kiheon Lee, Yongjin Cho, Yoo Seock Cheong, Sungroul Kim
    Journal of the Korean Society for Research on Nicotine and Tobacco.2019; 10(2): 106.     CrossRef
  • Impact of nicotine replacement therapy as an adjunct to anti-tuberculosis treatment and behaviour change counselling in newly diagnosed pulmonary tuberculosis patients: an open-label, randomised controlled trial
    Surendra Kumar Sharma, Alladi Mohan, Achintya Dinesh Singh, Hridesh Mishra, Sonali Jhanjee, Ravindra Mohan Pandey, Binit Kumar Singh, Rohini Sharma, Prakash Babu Pallipamu, Madhukar Pai, Keertan Dheda
    Scientific Reports.2018;[Epub]     CrossRef
  • Relation between secondhand smoke exposure and cardiovascular risk factors in never smokers
    Sehun Kim, Si-Hyuck Kang, Donghoon Han, Sun-Hwa Kim, Hee-Jun Kim, JIN-Joo Park, Youngjin Cho, Yeonyee E. Yoon, Kyung-Do Han, Il-Young Oh, Chang-Hwan Yoon, Jung-Won Suh, Hae-Young Lee, Young-Seok Cho, Tae-Jin Youn, Goo-Yeong Cho, In-Ho Chae, Dong-Ju Choi,
    Journal of Hypertension.2017; 35(10): 1976.     CrossRef
  • Suboptimal vitamin D status in Korean adolescents: a nationwide study on its prevalence, risk factors including cotinine-verified smoking status and association with atopic dermatitis and asthma
    Eun Jung Byun, Jinyoung Heo, Sang Hyun Cho, Jeong Deuk Lee, Hei Sung Kim
    BMJ Open.2017; 7(7): e016409.     CrossRef
  • False Replies on Smoking Rate Surveys and an In-Hospital Smoking Cessation Clinic
    Jungun Lee
    Korean Journal of Family Medicine.2016; 37(3): 135.     CrossRef
  • 6,960 View
  • 44 Download
  • 16 Web of Science
  • 16 Crossref
Weight Control Methods Related to Cotinine-Verified Smoking among Korean Adult Women: Korea National Health and Nutrition Examination Survey, 2008-2011
Young Kyun Kim, Young Gyu Cho, Jae Heon Kang, Hyun Ah Park, Kyoung Woo Kim, Yang Im Hur, Yeon Gak Yoo, Jiyoung An
Korean J Fam Med 2015;36(2):72-81.   Published online March 23, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.2.72
Background

Korean women are known to have a very low smoking rate. However, the actual smoking rate among Korean women is higher than 10% and may continue to increase gradually. In addition, some Korean women use extreme weight control methods that have potentially harmful effects. This study was conducted to elucidate weight control methods related to cotinine-verified smoking among Korean adult women.

Methods

This cross-sectional study involved 4,189 women aged ≥19 years who had attempted weight control during the past 1 year from the Korea National Health and Nutrition Examination Survey, 2008-2011. Smoking status was assessed using both self-report questionnaires and assays of urinary cotinine, and weight control methods were investigated using self-report questionnaires.

Results

The smoking rate based on the measurement of urinary cotinine was 12.4% ± 0.8% among Korean women. Cotinine-verified smokers were more likely to attempt fasting (odds ratio, 2.19; 95% confidence intervals, 1.03 to 4.67), taking prescription diet-pills (odds ratio, 2.37; 95% confidence intervals, 1.47 to 3.82), and taking nonprescription diet-pills (odds ratio, 3.46; 95% confidence intervals, 1.71 to 6.98), and were less likely to attempt eating less food or modifying dietary patterns (odds ratio, 0.71; 95% confidence intervals, 0.51 to 0.99) compared to non-smokers.

Conclusion

Korean adult women's smoking is independently related to a high likelihood of using weight control methods with potentially harmful effects, such as fasting and taking diet-pills, and a low likelihood of choosing weight control methods, including dietary modification, that require constant effort for a prolonged time.

Citations

Citations to this article as recorded by  
  • The Relationship between Body Mass Index and Smoking Cessation Plans in Korean Adults
    Ji Young Lee, Seon Mee Kim, Yoon Seon Choi, Yong Gyu Park, E Yeon Kim, So Jung Yoon, Jin Wook Kim, Jung Hwan Yoon, Man Kim, Hye Ran Jeon
    Journal of Obesity & Metabolic Syndrome.2017; 26(4): 281.     CrossRef
  • Factors Affecting Smoking Cessation Intention of Female Workers: Using Community Health Survey, 2014
    Hye-Young Jang, Song Yi Han
    Korean Journal of Occupational Health Nursing.2016; 25(4): 352.     CrossRef
  • 9,278 View
  • 25 Download
  • 2 Crossref
Background

Previous studies have shown that self-reports tend to underestimate smoking status, especially among women in Korea. We therefore assessed the characteristics of Korean women smokers who falsely described themselves as non-smokers.

Methods

The subjects were 4,135 adult women aged ≥19 years who participated in the 2008 Korean National Health and Nutrition Examination Survey. Of these, 3,151 subjects answered questions about their smoking status on self-reported questionnaires and underwent assays of urinary cotinine concentration. Subgroups of false respondents (n = 131) and true respondents (n = 198) regarding smoking were determined by comparing their responses on questionnaires with their urinary cotinine levels.

Results

Among adult Korean women, the self-reported smoking rate was 7.4% (95% confidence interval [CI], 6.4% to 8.4%); however, using urinary cotinine >100 ng/mL as a marker of smoking, the smoking rate was 11.8% (95% CI, 10.5% to 13.3%). In multivariate analysis, after adjusting for type of household, family income, and suicidal ideation, the odds ratios (ORs) of false respondents were 3.49 (95% CI, 1.41 to 8.63) for college-educated women and 2.47 (95% CI, 1.22 to 5.01) for women with high school education, relative to women with elementary school education. Married women with living spouses (OR, 2.80; 95% CI, 1.33 to 5.90) were more likely to respond falsely than unmarried women. Women who reported trying to reduce weight within 1 year (OR, 2.70; 95% CI, 1.47 to 4.93) and those who reported being less stressed (OR, 1.82; 95% CI, 1.08 to 3.07) were more likely to be false respondents.

Conclusion

The smoking rate determined using urinary cotinine concentration was higher than the self-reported rate among Korean women. Among smokers, those who were more educated, married, living with a husband, trying to reduce weight, and less stressed tended to describe themselves falsely as non-smokers.

Citations

Citations to this article as recorded by  
  • Longitudinal Changes in Smoking Behaviors and Cancer-Related Mortality Risk in Middle-Aged Korean Women
    Thi Xuan Mai Tran, Soyeoun Kim, Seonju Kim, Boyoung Park
    Cancer Research and Treatment.2024; 56(1): 18.     CrossRef
  • Smoking Prevalence and Factors Associated with False Reporting in Korean Adolescents: The Korea National Health and Nutrition Examination Survey (2016-2020)
    Seong Jun Park, Yoo Bin Seo, Jungun Lee, Seung Hee Kim, Chung Hwan Kim
    Korean Journal of Family Practice.2022; 12(5): 375.     CrossRef
  • Gender differences in the perceived effectiveness of female-focused graphic health warnings against smoking in South Korea
    Ji-eun Hwang, Youjin Choi, Yu-seon Yang, Yumi Oh
    Health Education Journal.2020; 79(1): 58.     CrossRef
  • Smoking and urinary cotinine by socioeconomic status in the Heinz Nixdorf Recall Study
    Jan Hovanec, Tobias Weiß, Holger Koch, Beate Pesch, Thomas Behrens, Benjamin Kendzia, Marina Arendt, Nico Dragano, Susanne Moebus, Börge Schmidt, Thomas Brüning, Karl-Heinz Jöckel
    Journal of Epidemiology and Community Health.2019; 73(6): 489.     CrossRef
  • Measuring drug dependence in police custody: An item response theory and differential item function analysis of UNCOPE in Australia
    Jason Payne, Gabriel Wong
    Drug and Alcohol Review.2018; 37(7): 856.     CrossRef
  • Prevalence and risk factors of secondhand smoke (SHS) exposure among pregnant women in Mongolia
    Naoko Hikita, Megumi Haruna, Masayo Matsuzaki, Emi Sasagawa, Minoru Murata, Otgontogoo Oidovsuren, Ariunaa Yura
    Scientific Reports.2017;[Epub]     CrossRef
  • False Replies on Smoking Rate Surveys and an In-Hospital Smoking Cessation Clinic
    Jungun Lee
    Korean Journal of Family Medicine.2016; 37(3): 135.     CrossRef
  • Weight Control Methods Related to Cotinine-Verified Smoking among Korean Adult Women: Korea National Health and Nutrition Examination Survey, 2008-2011
    Young Kyun Kim, Young Gyu Cho, Jae Heon Kang, Hyun Ah Park, Kyoung Woo Kim, Yang Im Hur, Yeon Gak Yoo, Jiyoung An
    Korean Journal of Family Medicine.2015; 36(2): 72.     CrossRef
  • Health Behaviors of Korean Gastric Cancer Survivors with Hypertension: A Propensity Analysis of KNHANES III-V (2005–2012)
    So-Ra Jo, Ju-Youn Joh, Ju-Ri Jeong, Sun Kim, Yeon-Pyo Kim, Ming Yang
    PLOS ONE.2015; 10(5): e0126927.     CrossRef
  • Comments on Statistical Issues in March 2014
    Yong Gyu Park
    Korean Journal of Family Medicine.2014; 35(2): 107.     CrossRef
  • 4,870 View
  • 18 Download
  • 10 Web of Science
  • 10 Crossref
Relationship between Brand Nicotine Yield of Cigarettes and Urine Cotinine Level in Male Smokers.
Sang Ho Yoon, Yu Jin Paek, Sang Ho Yoo, Jung Jin Cho, Hong Ji Song, Kyung Hee Park, Hye Mi Chang, Jin Hwa Ban
Korean J Fam Med 2009;30(9):703-709.   Published online September 20, 2009
DOI: https://doi.org/10.4082/kjfm.2009.30.9.703
Background
As one of harm reduction strategies, tobacco manufacturers have begun to introduce lower-yield cigarettes. Lower-yield cigarettes, so called light cigarettes, have been perceived as less hazardous by some smokers. However, there have been very few studies concerning smoking lower yield products the lead to lower nicotine absorption. We evaluated the association between brand nicotine yield of cigarettes and actual nicotine intake by measuring urinary cotinine. Methods: Four hundred sixty four male smokers aged 18 or over who participated in health check-ups in a hospital from May to October 2007 fi lled out a self-administered smoking questionnaire. Urinary cotinine concentration was measured at the time of participation. The subjects were divided into three groups (ultralight [nicotine: 0.05 mg], light [0.1 mg], and regular [> 0.1 mg] group) according to the level of brand nicotine yield of cigarettes which they smoked. Results: The median urinary cotinine concentrations of ultralight (N = 62), light (N = 216), and regular (N = 186) groups were 735.5 ng/mL (interquartile range, 320 to 1,300 ng/mL), 956.0 ng/mL (429 to 1,491 ng/mL), and 1,067.5 ng/mL (615 to 1,613 ng/mL), respectively. There was a signifi cant difference in urinary cotinine between the regular and the other groups (P = 0.015). However, multiple logistic regression analysis to evaluate the risk of being in the highest quartile of urinary cotinine concentration (≥ 1,532 ng/mL) after adjusting for possible confounding variables showed that the odds ratios were 0.84 (95% CI, 0.52 to 1.37) in the light nicotine group and 0.82 (95% CI, 0.38 to1.72) in the ultralight nicotine group compared to the regular nicotine group. Conclusion: There was no significant difference in the risk of elevated urinary cotinine concentrations in male adult smokers according to brand nicotine yield of cigarettes groups.
  • 2,418 View
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Urine Cotinine and Environmental Tobacco Exposure in Korean Adolescents.
Hae Reung Lee, Hyeon Keun Kim, Jang Suk Yoo, Kyu Nam Kim, Seon Yeong Lee, Sun Mi Yoo, Hyo Bin Kim, Bong Seong Kim, Soo Jong Hong, Ja Hyeung Kim, So Yeon Lee, Moon Woo Seong, Do Hoon Lee
Korean J Fam Med 2009;30(1):31-38.   Published online January 10, 2009
DOI: https://doi.org/10.4082/kjfm.2009.30.1.31
Background
The aim of this study was to elucidate the relationship of environmental tobacco smoke (ETS) exposure and the urine cotinine concentrations in Korean adolescents. Methods: Study population was 1st grade adolescents (N=1467, girls 22.2%) recruited from four high schools, two from Seoul, one from Kangleung and one from Woolsan. We obtained information for active smoking and ETS exposure through self-reported questionnaire and urine cotinine concentrations. Results: The prevalence of active smoking was 6.9% in boys and 0.9% in girls. Median urine cotinine concentrations were 19.5 Ռg/L (range, 0-2341 Ռg/L) among smokers, and 0 Ռg/L (range, 0-1359 Ռg/L) among nonsmokers. The positive rate of urine cotinine among nonsmokers exposed to ETS was 2.9%. Boys were exposed to ETS at PC room (79.6%), home (39.4%), school (11.5%), and public places (5.9%); girls were exposed at home (40.9%), PC room (33.2%), public places (28.0%), and school (15.2%). The frequency and duration of ETS exposure were significantly larger and longer in boys than in girls. Boys contacted friends who smoked more than girls did (32.6% vs. 17.1%). Parents'smoking status was similar both in boys and girls. Any information about ETS exposure did not differ according to the detectable urine cotinine among nonsmoking adolescents. Conclusions: Low positive rateof urine cotinine and no association of urine cotinine with various ETS exposure history reflectthat urine cotinine may not a good marker for ETS exposure in Korean adolescents.

Citations

Citations to this article as recorded by  
  • Simultaneous analysis of cotinine and 8-OHdG in urine: A biomarker approach for smoking exposure and oxidative stress
    Na-Youn Park, Hyeryoung Koo, Jung Hoan Kim, Eun-Hee Lee, Kyoung-Mu Lee, Cheoljin Mun, Younglim Kho
    Environmental Analysis Health and Toxicology.2025; 40(2): e2025013.     CrossRef
  • Association between Second-hand Smoke Exposure and Urinary NNAL Level in Korean Adolescents
    Hyo-Sun You, Jae-woo Lee, Ye-seul Kim, Yonghwan Kim, Hyeong-Cheol Lee, Jin Young Hwang, Woojung Yang, Hee-Taik Kang
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Secondhand Smoke Exposure and Dysglycemia
    Su-Jin Bak, Hyo-Jin Sa, Eun-Jung Oh, Hyuk-Jung Kweon, Kyoung-Jin Kim, Jinyoung Shin, Jae-Kyung Choi
    Korean Journal of Family Practice.2021; 11(4): 256.     CrossRef
  • Exposure to Hookah and Cigarette Smoke in Children and Adolescents According to Their Socio-Economic Status: The CASPIAN-IV Study
    Roya Kelishadi, Armindokht Shahsanai, Mostafa Qorbani, Gelayol Ardalan, Parinaz Poursafa, Ramin Heshmat, Mohammad Esmaeil Motlagh
    Iranian Journal of Pediatrics.2016;[Epub]     CrossRef
  • The Correlation of Different Cotinine Levels With Questionnaire Results
    Myung Bae Park, Eun Woo Nam, Seon Kui Lee, Chun-Bae Kim, Chhabi Ranabhat
    Asia Pacific Journal of Public Health.2015; 27(5): 542.     CrossRef
  • Tolerance for and potential indicators of second-hand smoke exposure among nonsmokers: A comparison of self-reported and cotinine verified second-hand smoke exposure based on nationally representative data
    Bo Yoon Jeong, Min Kyung Lim, E Hwa Yun, Jin-Kyoung Oh, Eun Young Park, Do-Hoon Lee
    Preventive Medicine.2014; 67: 280.     CrossRef
  • Urine Cotinine for Assessing Tobacco Smoke Exposure in Korean: Analysis of the Korea National Health and Nutrition Examination Survey (KNHANES)
    Sungmo Jung, In Seon Lee, Sae Byol Kim, Chan Soo Moon, Ji Ye Jung, Young Ae Kang, Moo Suk Park, Young Sam Kim, Se Kyu Kim, Joon Chang, Eun Young Kim
    Tuberculosis and Respiratory Diseases.2012; 73(4): 210.     CrossRef
  • Association Between Environmental Tobacco Smoke Exposure of Children and Parental Socioeconomic Status: A Cross-Sectional Study in Korea
    O. Yi, H.-J. Kwon, D. Kim, H. Kim, M. Ha, S.-J. Hong, Y.-C. Hong, J.-H. Leem, J. Sakong, C. G. Lee, S.-Y. Kim, D. Kang
    Nicotine & Tobacco Research.2012; 14(5): 607.     CrossRef
  • The Biomarkers of Active and Passive Smoke Exposure
    Hye-Young Oh, Yu-Jin Paek
    Journal of the Korean Society for Research on Nicotine and Tobacco.2011; 2(2): 79.     CrossRef
  • Effect of environmental exposure to lead and tobacco smoke on inattentive and hyperactive symptoms and neurocognitive performance in children
    Soo‐Churl Cho, Boong‐Nyun Kim, Yun‐Chul Hong, Min‐Sup Shin, Hee Jeong Yoo, Jae‐Won Kim, Soo‐Young Bhang, In Hee Cho, Hyo‐Won Kim
    Journal of Child Psychology and Psychiatry.2010; 51(9): 1050.     CrossRef
  • 3,387 View
  • 31 Download
  • 10 Crossref
Brief Communication
Relationship between Passive Smoke and Urinary Cotinine Level.
Min Jeoung Kim, Cheol Hwan Kim, Yang Hyeon Kim, Joo Ho Kang
J Korean Acad Fam Med 2007;28(5):379-382.   Published online May 10, 2007
Background
Cotinine, a nicotine metabolite detected in urine, has been recommended as the best quantitative marker of smoking and environmental tobacco smoke (ETS) exposure. The aim of this study was to analyze the relationship between indoor ETS and urinary cotinine level of the passive smokers. Methods: We selected 42 nonsmokers who lived in Seoul and were not exposed to passive smoking at least 5 days before test. Urinary cotinine levels were measured by Smokescreen Colorimeter (Surescreen Diagnostics LTD, U.K.). We measured urinary cotinine levels twice (before and after smoking exposure). Results: The mean urinary cotinine level was 0.33μg/mL before smoking exposure, and 0.46μg/mL after smoking exposure. There was statistically significant difference (P-value=0.003). There was no significant difference between exposure time and increase of urinary cotinine level(P=0.138, r=⁣0.233). There was also no significant difference between measuring time taking after exposure and increase of urinary cotinine level (P=0.671, r=0.067). Conclusion: One experience of indoor exposure to ETS caused significant elevation of urinary cotinine level. (J Korean Acad Fam Med 2007;28:379-382)
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