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. 2022 Aug 11;17:11772719221118868. doi: 10.1177/11772719221118868

High Levels of the Carcinogenic Tobacco-Specific Nitrosamine NNAL and Associated Findings in Children of Smokers: A Case Series

E Melinda Mahabee-Gittens 1,, Georg E Matt 2, Ashley L Merianos 3
PMCID: PMC9379955  PMID: 35982916

Abstract

High levels of NNAL, the tobacco smoke exposure (TSE) biomarker of the carcinogen 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), indicate future cancer risk. A prior study of smokers’ children revealed NNAL levels as high as active smokers. Therefore, we conducted a case series to examine the sociodemographics, TSE and clinical patterns, and other TSE biomarker levels in 9 children with extreme NNAL levels of >200 pg/ml to generate hypotheses and explore potential causes and implications. We identified 0 to 4-year-olds who presented to an emergency setting and lived with ⩾1 smoker who were part of a parental tobacco cessation trial (n = 461). Of these children, 52 had urinary NNAL, cotinine, and N-oxides results (n = 52). Nine children (17.3%) had NNAL levels >200 pg/ml, ranging from 206.4 to 1399.0 pg/ml (Median (Mdn) = 489.2 pg/ml; Interquartile Range (IQR) = 222.7-1289.3 pg/ml). The cotinine Mdn (IQR) was 38.5 (10.3-102.2) ng/ml and the N-oxides Mdn (IQR) = 93.8 (24.7-109.6) pg/ml. While all biomarker levels were alarmingly high, these young children would not have been flagged for very high cancer risk based on urinary cotinine levels alone. This underscores the critical role of comprehensive TSE biomarker measurement in capturing different TSE exposure patterns and assessing children’s future risk for cancer and other TSE-related morbidities.

Keywords: Secondhand smoke, thirdhand smoke, cotinine, NNAL, carcinogens, children

Introduction

Young children who live with smokers are most vulnerable to the carcinogenic risks associated with tobacco smoke exposure (TSE).1-3 Nicotine-derived 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) is a potent lung, esophageal, and oral cavity carcinogen.4,5 NNK is metabolized to 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) found in urine. In a prior study, 6 we found that 0 to 4-year-old children of smokers had an alarmingly high median (Interquartile range, IQR) NNAL level = 40.1(13.9-129.8) pg/ml. This level is approximately 4-times above the NNAL cut-point of 9.6 pg/ml used to distinguish active versus passive smoking, and 3-times above the threshold of 14.4 pg/ml used to distinguish active adolescent smokers from nonsmokers with TSE. 7 Further, the NNAL levels observed in these 0 to 4-year-olds were up to 80 times higher than adolescents with passive TSE (median (IQR): 0.49 (0.18-1.26) to 2.21 (1.06-5.70) pg/ml)7,8 and were nearly equivalent to levels in active adolescent smokers (median (IQR) = 54 (9-85) pg/ml). 8 NNAL provides a measure of carcinogenic uptake from tobacco smoke pollutants, and such high levels raise concerns for children’s future risk of cancer and TSE-related illnesses after many years of involuntary TSE.1,9 Further, since NNAL has an average half-life of 10 to 40 days, NNAL provides a measurement of TSE over approximately 1 month 10 and may be an indicator of chronic exposure to airborne secondhand smoke (SHS) and thirdhand smoke (THS) in dust and on surfaces. 2 Due to young children’s exploratory behaviors, they have a higher chance of being exposed to THS via dermal contact, ingestion, and inhalation. 2

Given these high NNAL levels, we conducted a case series of a subsample of 0 to 4-year-old children to examine sociodemographics, housing characteristics, TSE and clinical patterns, and TSE biomarker levels of this vulnerable population with high NNK-related cancer risks. These findings were then used to generate hypotheses to explore potential causes and implications of these high NNAL values. We also examined urinary cotinine and urinary Nicotelline N-oxides, tobacco-specific biomarkers of recent nicotine and Nicotelline exposure with half-lives of a few days10,11 and a few hours, respectively. 12

Methods

Case identification

Patients in this case series were part of a randomized controlled trial (RCT) of an emergency setting-based parental tobacco cessation intervention (www.clinicaltrials.gov: NCT02531594) which enrolled 750 parent-child dyads. 13 Children in this RCT were 0 to 17-year-olds who presented with potential TSE-related complaints to a Pediatric Emergency Department (PED) or Urgent Care (UC) of a U.S. children’s hospital. Eligible adults were parents accompanying their child to the PED/UC and current daily combustible tobacco smokers. The hospital’s institutional review board approved study procedures (IRB#2015-1914), and parents provided written informed consent. We used the following criteria to select our sample of children who: (a) were 0 to 4-years-old (n = 461), (b) had urine collected and analyzed for urinary NNAL (n = 53) and on N-oxides (n = 53) and cotinine (n = 52), and (c) had urinary NNAL > 200 pg/ml (n = 9); thus, 17% of 0 to 4-year-olds with urine data had NNAL > 200 pg/ml. This young age group was selected based on observing disproportionately high NNAL levels among the overall sample during preliminary analysis for another published study. 6 Specifically, the top 10 highest NNAL values found among the 0 to 17-year-old sample were >200 ng/ml, and of those, 9 children included in this study were 0 to 4-years-old and one was 16-years-old. Additionally, the accumulating evidence assessing 0 to 4-year-olds reports biomarker levels indicative of high exposure,6,14-16 and especially non-inhalational exposure.14,17,18

Sample analysis

Study staff obtained child urine samples which were stored at −80°C and analyzed for NNAL, cotinine, and Nicotelline N-oxides by liquid chromatography-tandem mass spectrometry (LC-MS/MS)7,12 at the Clinical Pharmacology Laboratory at the University of California at San Francisco. The limits of quantitation (LOQ) were = 0.25 pg/ml for NNAL, 0.05 ng/ml for cotinine, and 1.37 pg/ml for N-oxides.7,12

Assessments and electronic medical record review

Parents self-reported sociodemographics, housing type, the number of daily cigarettes they smoked, the number of cigarette smokers around the child in the past week, and the number of daily cigarettes that were smoked around the child by all smokers in any location (eg, home, car) in the past week. Children’s electronic medical records were reviewed to assess: TSE-related past medical history (PMH; specifically, bronchiolitis, asthma, pneumonia), chief complaints (eg, cough), ICD-10 discharge diagnoses, and disposition (ie, discharge home, admission).

Results

Table 1 describes the 9 children meeting inclusion criteria. See Table 2 for a comparison of children’s characteristics in the case series compared to all 0 to 4-year-olds in the overall sample who had NNAL levels available (n = 53); characteristics were similar except for the biomarker concentrations, and the children’s race and the mean and median number of cigarettes smoked by parents. Among the 9 children, Pearson correlations of the 3 log-transformed biomarkers showed a strong, positive correlation between urinary cotinine and Nicotelline N-oxides (r = .867, P = .002). No correlation was found between urinary NNAL and either cotinine (r = −.200, P = .606) or N-oxides (r = −.217, P = .576). Among the overall sample of 0 to 4-year-olds, urinary NNAL levels were positively correlated with cotinine (r = .457, P < .001) and N-oxides (r = .668, P < .001), and cotinine and N-oxides were positively correlated (r = .587, P < .001).

Table 1.

Characteristics and TSE biomarker levels of children in the case series.

Case number 1 2 3 4 5 6 7 8 9
Child age (years) 4 4 0 3 3 1 2 1 2
Child Sex Female Male Male Male Male Male Male Female Female
Child Race Black Other Black Black White White White White White
Child Insurance Type Government Government Government Self-pay Government Government Government Government Government
Parent Education Level High school graduate >Some college <High school >Some college >Some college High school graduate >Some college >Some college High school graduate
Household Income Level $15 001-$30 000 $5001-$15 000 <$5000 $15 001-$30 000 $15 001-$30 000 $15 001-$30 000 $15 001-$30 000 <$5000 $15 001-$30 000
Housing Type Multi-unit Housing Apartment Apartment Single family Multi-unit Housing Single family Apartment Multi-unit Housing Single family
Number of Daily Cigarettes Smoked by Parent 20 20 10 8 20 5 20 8 25
Number of Cigarette Smokers Around the Child in the Past Week 2 4 4 1 2 2 3 1 2
Number of Daily Cigarettes Smoked Around the Child by All Smokers in Any Location in the Past Week 1 23 0 2 12 0 5 8 25
Urinary NNAL (pg/ml) 206.4 214.2 231.6 291.3 489.3 1267.0 1276.0 1303.0 1399.0
Urinary cotinine (ng/ml) 38.5 28.1 139.6 97.7 16.7 84.2 6.3 4.4 106.8
Urinary N-oxides (pg/ml) 104.0 62.6 114.3 105.0 93.8 24.9 24.5 5.0 212.7
Respiratory-Related Past Medical History Asthma None None None None None None Bronchiolitis, Pneumonia None
Prematurity Past Medical History None None None None None None None Prematurity Prematurity
Chief Complaint Difficulty breathing, ear pain Congestion Difficulty breathing Congestion Congestion Difficulty breathing Cough Difficulty breathing Difficulty breathing
Disposition Discharge Discharge Admit Discharge Discharge Discharge Discharge Admit Discharge
Specific ICD-10 Discharge Diagnosis Otitis Media Viral Upper Respiratory Infection Bronchiolitis Otitis media Viral Upper Respiratory Infection Acute Upper Respiratory Infection Acute Upper Respiratory Infection Bronchiolitis Acute Upper Respiratory Infection

Table 2.

Comparison between the patients in the case series and the patients in the overall sample with NNAL, cotinine, and N-Oxide measures.

Case Series Patients (N = 9) n (%) Patients in the Overall Sample (N = 53) n (%)
Child Age: Mean (SD) years 2.2 (1.4) 2.19 (1.61)
Child Sex—Male 6 (66.7) 35 (66.0)
Child Race—Non-Hispanic Black 3 (33.3) 31 (58.5)
Child Insurance Type—Government 8 (88.9) 52 (98.1)
Parent Education Level—some college 5 (55.6) 24 (45.3)
Household Income Level <$30 000 9 (100) 47 (89.0)
Housing Type—Apartment 3 (33.3) 23 (43.4)
Number of cigarettes/day smoked by parent
 Range 5-25 1-27
 Mean (SD) 15.1 (7.3) 10.29 (6.26)
 Median (IQR) 20.0 (8.0, 20.0) 8 (6-14)
Number of cigarette smokers/day around the child in any location during the past week
 Range 1-4 1-7
 Mean (SD) 2.3 (1.1) 2.42 (1.6)
 Median (IQR) 2.0 (1.5-3.5) 2 (1-3)
Number of cigarettes/day smoked around child by all smokers in any location during the past week
 Range 0-25 0-43
 Mean (SD) 8.4 (9.7) 6.92 (11.00)
 Median (IQR) 5.0 (0.5-17.5) 3.0 (0-7.75)
Urinary NNAL level (pg/ml)
 Range 206.4-1399.0 1.2-1399.0
 GeoM (95% CI) 546.2 (280.1-1064.3) 46.7 (29.6-73.3)
 Median (IQR) 489.2 (222.7-1289.3) 40.1 (13.9-129.8)
Urinary Cotinine level (ng/ml)
 Range 4.4-139.6 0.6-169.0
 GeoM (95% CI) 35.0 (13.3-89.6) 14.9 (10.4-21.0)
 Median (IQR) 38.5 (10.3-102.2) 15.7 (6.1-33.8)
Urinary N-oxides level (pg/ml)
 Range 5.0-212.7 1.0-212.7
 GeoM (95% CI) 56.2 (23.6-131.8) 26.1 (18.0-37.7)
 Median (IQR) 93.8 (24.7-109.6) 25.7 (9.0-85.9)
Respiratory-related Past Medical History 2 (22.2) 11 (20.8)
Prematurity Past Medical History 2 (22.2) 10 (18.9)
Chief Complaint—Difficulty Breathing 4 (44.4) 12 (22.6)
Disposition—Admit to Hospital 2 (22.2) 6 (11.3)
TSE-Related ICD-10 Discharge Diagnosis* 9 (100) 47 (88.7)

Urinary NNAL levels ranged from 206.4 to 1399.0 pg/ml (GeoM = 546.2; Mdn (IQR) = 489.2 (222.7-1289.3). Table 2 shows the child characteristics, TSE patterns, TSE biomarker levels and clinical findings in children in this case series and in the overall sample. The varying findings indicate that all children were exposed to a wide range of tobacco smoke pollutants. To explore potential contributing factors and clinical implications, we examined the sociodemographics, TSE patterns, and TSE biomarker levels of the children in this case series (Table 3).

Table 3.

TSE marker levels, possible associations, and explanations.

Case number(s) Observations Possible associations
9 Highest overall TSE biomarker levels -Highest number of cigarettes smoked around child
-High recent and high chronic SHS and THS exposure
-Large pervasive THS reservoirs contributing to chronic exposure
-Prematurity may indicate prenatal TSE
-Young child age and immature metabolism
7, 8 High NNAL levels but lower levels of other TSE biomarkers High NNAL levels may be associated with:
-High chronic SHS and THS exposure
-Large pervasive THS reservoirs contributing to chronic exposure
-Prematurity may indicate prenatal TSE
-Young child age and immature metabolism
Relatively low cotinine (cases #7 and #8) and N-oxides (case #8) may be associated with:
-Lower recent or acute TSE
3, 4, 6 High NNAL and Cotinine Levels High NNAL levels may be associated with:
-High chronic SHS and THS exposure
-Large pervasive THS reservoirs contributing to chronic exposure
High cotinine (all cases) and high N-oxides (cases #3 and #4) may be associated with:
-High recent or acute TSE
1, 2, 5 High Levels of all TSE Biomarkers -High numbers of cigarettes smoked by parents and around child (cases #2 and #5)
-High chronic SHS and THS exposure
-Large pervasive THS reservoirs contributing to chronic exposure
-High recent or acute TSE

Discussion

All smokers’ children are at increased risk of TSE-related morbidity and mortality. However, the 0 to 4-year-olds in this case series are at dramatically higher risk of developing cancer in the future given their high NNAL levels of >200 pg/ml. Since NNAL is a metabolite of the tobacco-specific lung carcinogen NNK and a marker of lung cancer risk in adults, high levels in children may be related to future cancer in children with TSE.1,9 The high NNAL levels observed were equivalent to or exceeded those reported in nonsmoking children with TSE and adolescent and active adult smokers.7,8,19-21 Specifically, the GeoM and Mdn NNAL levels of children in this case series were 546.2 and 489.2 pg/ml, respectively, versus prior reports of children and adults with TSE who had GeoM NNAL levels in the ranges of 14.6 to 29.3 pg/ml and 6.3 to 12.5 pg/ml, respectively.10,19 Thus, these high NNAL levels in young children are alarming and suggest that children’s pre-existing TSE and environmental conditions disproportionately increase their cancer risk, warranting further studies.

Most TSE biomarker research has exclusively measured cotinine. However, given the relatively short half-life,10,11 cotinine can only capture recent TSE but may fail to identify children with low levels of recent TSE and/or chronic TSE. Since NNAL is a TSE biomarker that assesses children’s TSE averaged over several weeks, 10 the observed levels suggest that a substantial percentage of smokers’ children are chronically exposed to high levels of the NNK carcinogen from SHS and THS. This may result in a myriad of short- and long-term clinical effects, which to date, are largely unknown. Notably, the 2 children with the highest NNAL levels had a history of prematurity. Although we do not know if they had prenatal TSE, it is known that prenatal nicotine exposure is associated with preterm birth.22,23 Additionally, 67% and 78% of children in the case series had respiratory-related chief complaints and discharge diagnoses, respectively; 100% of children had a TSE-related diagnosis; and admission rates were double those of the overall sample. Further, 44% of the children in the case series had a chief complaint of difficulty breathing compared to 23% in the overall sample. While the implications of these high NNAL levels and potential clinical associations are unclear, in a study of adult nonsmokers with asthma, those with higher NNAL levels had increased asthma exacerbations and emergency visits. 24 In another study, adult nonsmokers with chronic obstructive pulmonary disease (COPD) and higher NNAL levels had greater shortness of breath and COPD severity 25 ; thus, further underscoring the need for future large cohort studies of children with TSE.

We observed disproportionately high cotinine and N-oxide biomarker levels, which measure nicotine and particulate matter exposure from SHS and THS, respectively.11,12 The cotinine GeoM and Mdn levels were 35.0 and 38.5 ng/ml, respectively, versus reported cotinine GeoMs in the range of 0.03-12.6 ng/ml19,21 and Mdns of 0.1 to 0.8 ng/ml7,8 in studies of nonsmoking children, adolescents, and adults who were passively exposed to tobacco smoke. While the cotinine levels in this study were lower than those of adolescent and adult smokers,7,8 five children had urinary cotinine levels >30 ng/ml, a cut-point used to distinguish nonsmokers from smokers. 10 Much prior research indicates that higher cotinine levels are associated with increased respiratory, infectious, and other pediatric illnesses.3,26,27 These associations may be due, in part, to the effect of nicotine exposure on lung growth and development, adverse effects on airway resistance and contractility, and immune suppression. 23 The GeoM and Mdn N-oxide levels of children in this case series were 56.2 and 93.8 pg/ml, respectively. A prior study of adult tobacco users reported mean (SD) N-oxide levels of 32.8 (55.0) pg/ml. 28 Since N-oxides measure short-term TSE, these levels may be associated with acute illnesses, but further studies are needed.

This study’s main strength is the reporting of 3 urinary biomarkers that distinctly detect different aspects of TSE among 0 to 4-year-olds, an age group historically underrepresented in biochemically validated TSE studies. 29 Additionally, we report the sociodemographic, parental smoking, TSE patterns, and clinical characteristics of children with carcinogenic NNAL uptake levels >200 pg/ml. Although only 9 participants were included, this is due to the strict inclusion/exclusion criteria used, which allowed us to assess the highest NNAL levels in our overall cohort. 6

In conclusion, this study provides evidence that 0 to 4-year-olds living with smokers can have high TSE carcinogen biomarker levels that could not have been detected with urinary cotinine alone. Cotinine may underestimate carcinogenic- and particulate matter-derived risks that NNAL and N-oxides can quantify. This underscores the critical role of comprehensive TSE biomarker measurement in young children to capture all aspects of the timing and types of TSE and to assess children’s future risk for cancer and other TSE-related morbidities.

Acknowledgments

None.

Footnotes

Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH Grant Number R01HD083354), the National Institute of Environmental Health Sciences (NIH Grant Numbers R01ES027815, R01ES030743, and R21ES032161), and the National Institute on Drug Abuse (NIH Grant Number K01DA044313). Instrumentation and other analytical chemistry laboratory resources for the urine analyses at UCSF were supported by the National Institutes of Health (P30DA012393 and S10RR026437).

Declarations: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ethics Approval and Consent to Participate: The institutional review board at Cincinnati Children’s Hospital Medical Center approved study procedures (IRB#2015-1914) and parents provided written informed consent.

Consent for Publication: Not applicable.

Author Contributions: EMMG supervised and conducted the study procedures. EMMG, GEM, and ALM conceived and designed the manuscript. GEM and ALM conducted the analysis and interpreted the data. EMMG drafted the initial version of the manuscript. EMMG, GEM, and ALM were involved in the critical revision of the manuscript and final approval of the manuscript.

Availability of Data and Materials: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

ORCID iDs: E Melinda Mahabee-Gittens Inline graphic https://orcid.org/0000-0002-3893-885X

Georg E Matt Inline graphic https://orcid.org/0000-0001-5604-4609

References

  • 1. Hecht SS, Carmella SG, Le KA, et al. 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides in the urine of infants exposed to environmental tobacco smoke. Cancer Epidemiol Biomarkers Prev. 2006;15:988-992. [DOI] [PubMed] [Google Scholar]
  • 2. Jacob P, Benowitz NL, Destaillats H, et al. Thirdhand smoke: new evidence, challenges, and future directions. Chem Res Toxicol. 2017;30:270-294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. U.S. Department of Health and Human Services. The Health Consequences of Smoking: 50 Years of Progress. A Report of the Surgeon General. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2014. Printed with corrections, January 2014. [Google Scholar]
  • 4. Hecht SS. Tobacco carcinogens, their biomarkers and tobacco-induced cancer. Nat Rev Cancer. 2003;3:733-744. [DOI] [PubMed] [Google Scholar]
  • 5. Xia B, Blount BC, Guillot T, et al. Tobacco-specific nitrosamines (NNAL, NNN, NAT, and NAB) exposures in the US population assessment of tobacco and Health (PATH) Study Wave 1 (2013-2014). Nicotine Tob Res. 2021;23:573-583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Mahabee-Gittens EM, Matt GE, Ding L, Merianos AL. Comparison of levels of three tobacco smoke exposure biomarkers in children of smokers. Int J Environ Res Public Health. 2021;18:11803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Benowitz NL, Nardone N, Jain S, et al. Comparison of urine 4-(Methylnitrosamino)-1-(3)Pyridyl-1-Butanol and cotinine for assessment of active and passive smoke exposure in urban adolescents. Cancer Epidemiol Biomarkers Prev. 2018;27:254-261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Nardone N, Jain S, Addo N, St Helen G, Jacob P, 3rd, Benowitz NL. Sources and biomarkers of secondhand tobacco smoke exposure in urban adolescents. Acad Pediatr. 2020;20:493-500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Hecht SS, Stepanov I, Carmella SG. Exposure and metabolic activation biomarkers of carcinogenic tobacco-specific nitrosamines. Account Chem Res. 2016;49:106-114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Benowitz NL, Bernert JT, Foulds J, et al. Biochemical verification of tobacco use and abstinence: 2019 Update. Nicotine Tob Res. 2020;22:1086-1097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Benowitz NL, Hukkanen J, Jacob P. Nicotine chemistry, metabolism, kinetics and biomarkers. Handb Exp Pharmacol. 2009;(192): 29-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Jacob P, 3rd, Goniewicz ML, Havel CM, Schick SF, Benowitz NL. Nicotelline: a proposed biomarker and environmental tracer for particulate matter derived from tobacco smoke. Chem Res Toxicol. 2013;26:1615-1631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Mahabee-Gittens EM, Ammerman RT, Khoury JC, et al. A parental smoking cessation intervention in the pediatric emergency setting: a randomized trial. Int J Environ Res Public Health. 2020;17:E8151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Matt GE, Merianos AL, Quintana PJE, Hoh E, Dodder NG, Mahabee-Gittens EM. Prevalence and income-related disparities in thirdhand smoke exposure to children. JAMA Netw Open. 2022;5:e2147184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Merianos AL, Jandarov RA, Mahabee-Gittens EM. High cotinine and healthcare utilization disparities among low-income children. Am J Prev Med. 2021;60:267-275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Merianos AL, Jandarov RA, Choi K, Mahabee-Gittens EM. Tobacco smoke exposure disparities persist in U.S. children: NHANES 1999-2014. Prev Med. 2019;123:138-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Mahabee-Gittens EM, Merianos AL, Jandarov RA, Quintana PJE, Hoh E, Matt GE. Differential associations of hand nicotine and urinary cotinine with children's exposure to tobacco smoke and clinical outcomes. Environ Res. 2021;202:111722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Mahabee-Gittens EM, Merianos AL, Hoh E, Quintana PJ, Matt GE. Nicotine on children’s hands: limited protection of smoking bans and initial clinical findings. Tob Use Insights. 2019;12:1179173X1882349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Vogel RI, Carmella SG, Stepanov I, Hatsukami DK, Hecht SS. The ratio of a urinary tobacco-specific lung carcinogen metabolite to cotinine is significantly higher in passive than in active smokers. Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals. Biomarkers. 2011;16:491-497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Goniewicz ML, Eisner MD, Lazcano-Ponce E, et al. Comparison of urine cotinine and the tobacco-specific nitrosamine metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and their ratio to discriminate active from passive smoking. Nicotine Tob Res. 2011;13:202-208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Benowitz N, Goniewicz ML, Eisner MD, et al. Urine cotinine underestimates exposure to the tobacco-derived lung carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone in passive compared with active smokers. Cancer Epidemiol Biomarkers Prev. 2010;19:2795-2800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Feferkorn I, Badeghiesh A, Baghlaf H, Dahan MH. The relation between cigarette smoking with delivery outcomes. An evaluation of a database of more than nine million deliveries. J Perinat Med. 2022;50:56-62. [DOI] [PubMed] [Google Scholar]
  • 23. McGrath-Morrow SA, Gorzkowski J, Groner JA, et al. The effects of nicotine on Development. Pediatrics. 2020;145:e20191346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Ho G, Tang H, Robbins JA, Tong EK. Biomarkers of tobacco smoke exposure and asthma severity in adults. Am J Prev Med. 2013;45:703-709. [DOI] [PubMed] [Google Scholar]
  • 25. Eisner MD, Jacob P, 3rd, Benowitz NL, Balmes J, Blanc PD. Longer term exposure to secondhand smoke and health outcomes in COPD: impact of urine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol. Nicotine Tob Res. 2009;11:945-953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. He Z, Wu H, Zhang S, et al. The association between secondhand smoke and childhood asthma: A systematic review and meta-analysis. Pediatr Pulmonol. 2020;55:2518-2531. [DOI] [PubMed] [Google Scholar]
  • 27. Raghuveer G, White DA, Hayman LL, et al. Cardiovascular consequences of childhood secondhand tobacco smoke exposure: prevailing evidence, burden, and racial and socioeconomic disparities: a scientific statement from the American Heart Association. Circulation. 2016;134:e336-e359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Jacob P, St Helen G, Yu L, et al. Biomarkers of exposure for dual use of electronic cigarettes and combustible cigarettes: nicotelline, NNAL, and total nicotine equivalents. Nicotine Tob Res. 2020;22:1107-1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Tsai J, Homa DM, Gentzke AS, et al. Exposure to secondhand smoke among nonsmokers - United States, 1988-2014. MMWR Morb Mortal Wkly Rep. 2018;67:1342-1346. [DOI] [PMC free article] [PubMed] [Google Scholar]

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