Using caregiver report and urinary cotinine measures, we defined the prevalence of secondhand smoke (SHS) exposure among young, hospitalized children and compared exposure among those hospitalized with pneumonia versus those with acute, nonrespiratory illnesses.
Children aged <6 years hospitalized with pneumonia or acute, nonrespiratory illnesses were enrolled on admission, and urinary cotinine, a nicotine biomarker, was measured. Caregivers were also queried on home SHS exposure. We modeled associations between sociodemographic characteristics and exposure intensity on the basis of cotinine level (none, light, and heavy) using multivariable proportional odds regression. We also examined associations between SHS exposure intensity and diagnosis (pneumonia versus nonrespiratory illness). For this analysis, diagnosis was the outcome of interest, and urinary cotinine was the primary exposure variable.
Overall, 36% of the 239 enrolled children had reported home SHS exposure, although 77% had detectable levels of urinary cotinine, including 59% with heavy exposure. The highest urinary cotinine level was among children exposed to indoor smoking (7.78 ng/mL, interquartile range 2.93–18.65; P < .001). Increased SHS exposure was associated with non-Hispanic ethnicity, lower household educational attainment, and public insurance. There were no differences in SHS exposure by diagnosis.
Among hospitalized young children, reported home SHS exposure was common but substantially underestimated when compared with urinary cotinine levels. The highest urinary cotinine levels were among children exposed to indoor smoking. Future public health interventions, as well as more robust SHS exposure screenings on hospital admission, are needed to reduce the prevalence of SHS exposure among young children.
Despite sustained public health efforts, smoking tobacco products remains common. In 2015, an estimated 36.5 million US adults smoked cigarettes.1 Exposure to secondhand smoke (SHS) is known to have negative health effects, particularly among children.2 Children regularly exposed to SHS have higher rates and greater severity of respiratory illnesses, including pneumonia and bronchiolitis.3 Among hospitalized children, SHS exposure is also associated with longer length of stay and more frequent admission to intensive care.4
Studies that use cotinine, a nicotine metabolite and highly sensitive marker of recent SHS exposure, have helped to quantify SHS exposure in children.5,6 One study in particular supported the utility of this biomarker in determining true prevalence of SHS exposure among hospitalized children.7 A 2015 Centers for Disease Control and Prevention report using this biomarker estimated that 70% of non-Hispanic Black children in the United States aged 3 to 11 years are exposed to SHS.8 Among children living in multiunit housing in 2011, 73% were exposed to SHS.9 Among adolescents admitted to an urban general hospital in 2017, 76% had evidence of SHS exposure not attributable to active smoking.6 Young, hospitalized children represent a particularly vulnerable population.10 Despite this, less is known about the frequency of SHS exposure in this population and specifically how SHS exposure differs among those with pneumonia and other acute, nonrespiratory illnesses.
Using caregiver report and urinary cotinine measures as collected during a study of pneumonia in the community,11 we sought to define the prevalence of SHS exposure among young, hospitalized children and to compare exposure among those hospitalized with pneumonia or acute, nonrespiratory illnesses.
Methods
We prospectively enrolled children aged <6 years hospitalized at a single children’s hospital in the United States between 2010 and 2012 and included children with pneumonia or acute, nonrespiratory illnesses. The children with pneumonia represent a subset of children enrolled in the Etiology of Pneumonia in the Community study, which enrolled children with radiographically confirmed, community-acquired pneumonia and whose enrollment criteria has been previously published.11 Concurrently, we enrolled children with acute, nonrespiratory illnesses (eg, trauma, septic arthritis). We excluded children hospitalized within the previous 7 days, those living in a long-term care facility, newborns who never left the hospital, those with significant immunosuppression, and those with a tracheostomy. We also excluded those in whom a urine sample could not be obtained. Caregivers were interviewed by study personnel to obtain sociodemographic characteristics and past medical history. Those with both public and private insurance were coded as public insurance. A urine sample was also obtained and immediately frozen at −80 °C. This study was approved by our institutional review board.
The primary outcome was SHS exposure quantitatively defined by using urinary cotinine.6 After absorption, ∼80% of nicotine is directly metabolized into cotinine,5 thus making it an ideal biomarker for SHS exposure. Urine samples were analyzed by tandem liquid chromatography–mass spectrometry at the University of California, San Francisco.5 Cotinine was analyzed as an ordinal variable indicating intensity of SHS exposure, defined as no exposure (below limit of detection, <0.025 ng/mL), light SHS exposure (0.025–0.25 ng/mL), and heavy SHS exposure (>0.25 ng/mL).6 To contrast with our objective measures, we also classified SHS exposure on the basis of information from the caregiver interviews. Caregivers were asked, “How many household members smoke (either indoors or outdoors)?” with responses classified as 0 or ≥1 household smokers, and “Is smoking allowed indoors?” classified as yes or no. Responses were organized into a composite variable of caregiver-reported home SHS exposure (no reported exposure, ≥1 household smokers but no smoking allowed in home, and ≥1 household smokers with smoking allowed in home).
Descriptive statistics included frequencies (percent) for categorical variables and median (interquartile range [IQR]) for continuous variables. We compared baseline characteristics across groups defined by intensity of SHS exposure on the basis of urinary cotinine level (no exposure, light, and heavy) using Wilcoxon rank and χ2 tests. Similar analyses were performed analyzing demographic data among children without reported SHS exposure. Violin plots were generated by using log-transformed cotinine values for groups defined by the composite variable of caregiver-reported home SHS exposure. A multivariable proportional odds regression model was used to examine associations between sociodemographic characteristics and intensity of SHS exposure. We also examined associations between SHS exposure intensity and diagnosis (pneumonia versus nonrespiratory illness). For this analysis, diagnosis was the outcome of interest, and urinary cotinine was the primary exposure variable. All analyses were completed by using R version 3.5.1.
Results
A total of 239 children were enrolled, including 149 (62%) with pneumonia (median age 15 months [5–31]) and 90 (38%) with nonrespiratory illness (median age 16 months [4–35]) (Supplemental Table 4).
Although reported home SHS exposure was common (36%), it substantially underestimated exposure detected by urinary cotinine (77% of children), including 17% with light exposure and 59% with heavy exposure (Table 1). Exposure intensity varied significantly with respect to parental education, race, and insurance type. There were no differences in exposure intensity by season. The highest urinary cotinine level was among children exposed to indoor smoking (7.78 ng/mL, IQR 2.93–18.65; P < .001) (Supplemental Fig 1). Even so, the majority of children with no reported home SHS exposure (64%) also had urinary cotinine levels above the limit of detection.
Baseline Characteristics of Children by SHS Exposure Intensity
. | No SHS Exposure (<0.025 ng/mL), n = 56 . | Light SHS Exposure (0.025–0.25 ng/mL), n = 41 . | Heavy SHS Exposure (>0.25 ng/mL), n = 142 . | P . |
---|---|---|---|---|
Age, mo, median (IQR) | 15.5 (4.0–35.2) | 14.0 (5.0–31.0) | 16.0 (5.0–34.5) | .789 |
Male sex, % (n) | 57 (32) | 61 (25) | 48 (68) | .238 |
Race, % (n) | .003 | |||
Non-Hispanic white | 64 (36) | 44 (18) | 48 (68) | |
Non-Hispanic Black | 4 (2) | 22 (9) | 28 (40) | |
Hispanic | 25 (14) | 29 (12) | 14 (20) | |
Other | 7 (4) | 5 (2) | 10 (14) | |
Household education, % (n) | <.001 | |||
Less than high school | 11 (6) | 20 (8) | 15 (22) | |
High school graduate | 12 (7) | 15 (6) | 39 (55) | |
Some college | 18 (10) | 29 (12) | 27 (39) | |
College graduate | 32 (18) | 32 (13) | 11 (16) | |
Advanced degree | 25 (14) | 5 (2) | 5 (7) | |
Type of insurance, % (n) | <.001 | |||
None | 0 (0) | 2 (1) | 3 (4) | |
Public | 43 (24) | 66 (27) | 80 (113) | |
Private | 57 (32) | 32 (13) | 18 (25) | |
≥1 comorbidity, % (n) | 34 (19) | 44 (18) | 42 (59) | .533 |
Season, % (n) | .222 | |||
Winter (December to February) | 46 (19) | 45 (64) | 46 (110) | |
Spring (March to May) | 32 (13) | 32 (45) | 31 (73) | |
Summer (Jun to August) | 17 (7) | 8 (12) | 12 (29) | |
Fall (September to November) | 5 (2) | 15 (21) | 11 (27) | |
Reported home smoke exposure | <.001 | |||
None | 96 (54) | 83 (34) | 44 (63) | |
Yes, but indoor smoking is not allowed | 4 (2) | 17 (7) | 40 (57) | |
Yes, and indoor smoking is allowed | 0 (0) | 0 (0) | 15 (22) |
. | No SHS Exposure (<0.025 ng/mL), n = 56 . | Light SHS Exposure (0.025–0.25 ng/mL), n = 41 . | Heavy SHS Exposure (>0.25 ng/mL), n = 142 . | P . |
---|---|---|---|---|
Age, mo, median (IQR) | 15.5 (4.0–35.2) | 14.0 (5.0–31.0) | 16.0 (5.0–34.5) | .789 |
Male sex, % (n) | 57 (32) | 61 (25) | 48 (68) | .238 |
Race, % (n) | .003 | |||
Non-Hispanic white | 64 (36) | 44 (18) | 48 (68) | |
Non-Hispanic Black | 4 (2) | 22 (9) | 28 (40) | |
Hispanic | 25 (14) | 29 (12) | 14 (20) | |
Other | 7 (4) | 5 (2) | 10 (14) | |
Household education, % (n) | <.001 | |||
Less than high school | 11 (6) | 20 (8) | 15 (22) | |
High school graduate | 12 (7) | 15 (6) | 39 (55) | |
Some college | 18 (10) | 29 (12) | 27 (39) | |
College graduate | 32 (18) | 32 (13) | 11 (16) | |
Advanced degree | 25 (14) | 5 (2) | 5 (7) | |
Type of insurance, % (n) | <.001 | |||
None | 0 (0) | 2 (1) | 3 (4) | |
Public | 43 (24) | 66 (27) | 80 (113) | |
Private | 57 (32) | 32 (13) | 18 (25) | |
≥1 comorbidity, % (n) | 34 (19) | 44 (18) | 42 (59) | .533 |
Season, % (n) | .222 | |||
Winter (December to February) | 46 (19) | 45 (64) | 46 (110) | |
Spring (March to May) | 32 (13) | 32 (45) | 31 (73) | |
Summer (Jun to August) | 17 (7) | 8 (12) | 12 (29) | |
Fall (September to November) | 5 (2) | 15 (21) | 11 (27) | |
Reported home smoke exposure | <.001 | |||
None | 96 (54) | 83 (34) | 44 (63) | |
Yes, but indoor smoking is not allowed | 4 (2) | 17 (7) | 40 (57) | |
Yes, and indoor smoking is allowed | 0 (0) | 0 (0) | 15 (22) |
In multivariable analysis, intensity of SHS exposure did not vary by age or sex (Table 2). As compared with non-Hispanic white children, Hispanic children had significantly less SHS exposure (odds ratio [OR] 0.25, 95% confidence interval [CI] 0.10–0.61). Exposure intensity in non-Hispanic Black children did not differ from that of non-Hispanic white children. Exposure intensity varied by household educational attainment, with significantly lower SHS exposure among children whose caregivers attended college (OR 0.43, 95% CI 0.18–1.02), had a college degree (OR 0.19, 95% CI 0.08–0.47), or had an advanced degree (OR 0.11, 95% CI 0.03–0.37), as compared with children whose caregivers had a high school education or less. Private insurance was also associated with decreased SHS exposure intensity, as compared with public insurance (OR 0.38, 95% CI 0.19–0.78). In a multivariable analysis of children with no reported SHS exposure, exposure intensity as measured by urinary cotinine varied in a similar pattern, as reported in the overall study population (Supplemental Table 3).
Association Between Sociodemographic Characteristics and SHS Exposure Levels
. | OR (95% CI)a . |
---|---|
Age y, 1-y increase | 0.96 (0.83–1.11) |
Sex | |
Boy | Reference |
Girl | 1.24 (0.71–2.19) |
Race | |
Non-Hispanic white | Reference |
Non-Hispanic Black | 1.81 (0.78–4.19) |
Hispanic | 0.25 (0.10–0.61) |
Other | 1.18 (0.39–3.59) |
Household education | |
Less than high school | 0.73 (0.26–2.00) |
High school graduate | Reference |
Some college | 0.43 (0.18–1.02) |
College graduate | 0.19 (0.08–0.47) |
Advanced degree | 0.11 (0.03–0.37) |
Type of insurance | |
None | 2.20 (0.21–22.95) |
Public | Reference |
Private | 0.38 (0.19–0.78) |
. | OR (95% CI)a . |
---|---|
Age y, 1-y increase | 0.96 (0.83–1.11) |
Sex | |
Boy | Reference |
Girl | 1.24 (0.71–2.19) |
Race | |
Non-Hispanic white | Reference |
Non-Hispanic Black | 1.81 (0.78–4.19) |
Hispanic | 0.25 (0.10–0.61) |
Other | 1.18 (0.39–3.59) |
Household education | |
Less than high school | 0.73 (0.26–2.00) |
High school graduate | Reference |
Some college | 0.43 (0.18–1.02) |
College graduate | 0.19 (0.08–0.47) |
Advanced degree | 0.11 (0.03–0.37) |
Type of insurance | |
None | 2.20 (0.21–22.95) |
Public | Reference |
Private | 0.38 (0.19–0.78) |
ORs calculated on the basis of the multivariate model that included age, sex, race and ethnicity, household education, and insurance.
Children hospitalized with pneumonia were more likely to have ≥1 comorbidity compared with children hospitalized with nonrespiratory illnesses; otherwise, there were no significant baseline differences (Supplemental Table 4). In multivariable analyses, there were no detectable differences in SHS exposure intensity between children with pneumonia and children with acute, nonrespiratory illness (OR 1.13, 95% CI 0.521–2.44 for heavy exposure versus no exposure; OR 1.18, 95% CI 0.48–2.88 for light exposure versus no exposure).
Discussion
In our study of children aged <6 years hospitalized with pneumonia or nonrespiratory illnesses, more than three-quarters of children had objective evidence of SHS exposure. Caregiver report substantially underestimated SHS exposure in this population. Higher intensity of SHS exposure was associated with non-Hispanic ethnicity, lower caregiver educational attainment, and public insurance.
Our finding that most hospitalized children aged <6 years had objective evidence (urinary cotinine level >0.025 ng/mL) of SHS exposure is consistent with a previous study that found an exposure prevalence of 76% among adolescents admitted to an urban general hospital that was not attributable to active smoking on the basis of objective urinary cotinine levels (urinary cotinine level <30 ng/mL).6 Compared with contemporaneous estimates, the frequency of exposure in these studies of hospitalized young children and adolescents is more than twice that from a national sample that defined SHS exposure on the basis of urinary cotinine levels.8 Although previous studies have revealed associations between respiratory illness severity and SHS exposure,3,4 our study did not. We note, however, that our study population was restricted to hospitalized children, a group that likely differs from the general population in several ways. Thus, although much is known about the deleterious effects of SHS exposure on acute and chronic respiratory health,4 our findings suggest that all hospitalized children are at increased risk for SHS exposure and its harmful effects.
The findings of this study also reveal the shortcomings of hospital intake screenings for SHS because most children with no reported home SHS exposure had biochemical evidence of exposure. There are several potential reasons for this, most notably underreporting of home SHS exposure and exposure outside of the primary home environment. Other factors known to contribute to increased SHS exposure that may contribute to underreporting include exposure to e-cigarettes (vaping)12 and living in multiunit housing.9 Regardless of the reasons, subjective reporting of SHS exposure is imperfect and has the potential to substantially underestimate true exposure.7,13 Of note, we observed that a cotinine level < 0.25 ng/mL appears to predict the absence of home SHS exposure, which could serve as a useful screening tool.
The high prevalence of SHS exposure in our study population confirms that more interventions are needed to reduce its burden on the health of young children. Pediatric hospitalizations have been investigated as an opportunity for smoking cessation counseling for caregivers.14,15 Most caregivers were open to counseling regarding their smoking during their child’s hospitalization,14 but these studies revealed questionable efficacy of these interventions,15 suggesting more nuanced and personalized approaches may be needed. Promoting more stringent tobacco control policies is another important opportunity to curtail SHS among children. Previous work has revealed that policies aimed at discouraging smoking (eg, taxes, smoke free–air laws, and media campaigns) are effective and have been linked to substantive reductions in smoking prevalence after implementation.16
Our study had several limitations. First, the single institution design may limit the direct extrapolation of our findings to other settings. Second, the respiratory group was narrowly defined as children with pneumonia, excluding children with diagnoses like asthma or bronchiolitis. Third, data were not collected on a matched, nonhospitalized group of children from a similar region to provide insight on how the hospitalized population differed from the general pediatric population. Fourth, the data were collected between 2010 and 2012, and it is possible the patterns of smoke exposure have changed. It will be important to confirm these findings in larger, contemporary, and more heterogenous cohorts of children.
Conclusions
Among hospitalized young children, reported home SHS exposure was common but substantially underestimated when compared with urinary cotinine levels. The highest urinary cotinine levels were among children exposed to indoor smoking. Future public health interventions, as well as more robust SHS exposure screenings on hospital admission, are needed to reduce the prevalence of SHS exposure among young children.
Dr Stallings conceptualized and designed the study and drafted the initial manuscript; Dr Zhu conducted the analyses and reviewed and revised the manuscript; Drs Grijalva, Edwards, Self, and Williams conceptualized and designed the study and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted.
FUNDING: Supported by the National Institutes of Health under award K23AI104779 to Dr Williams and by Clinical and Translational Research Award awards UL1TR000445 and KL2TR000446 from the National Center for Advancing Translational Sciences. The Etiology of Pneumonia in the Community study was supported by the Influenza Division in the National Center for Immunizations and Respiratory Diseases at the Centers for Disease Control and Prevention through cooperative agreements with each study site and was based on a competitive research funding opportunity. The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institutes of Health or the Centers for Disease Control and Prevention. The funder or sponsor did not participate in this work. Funded by the National Institutes of Health (NIH).
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.
FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.
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