Adolescent Tobacco Smoke Exposure, Respiratory Symptoms, and Emergency Department Use

Tobacco Smoke Exposure and Sleep Duration among U.S. Adolescents

OBJECTIVES

Tobacco smoke exposure (TSE) and poor sleep are public health problems with their own set of consequences. This study assessed whether TSE was associated with sleep duration among U.S. adolescents.

METHOD

We conducted a secondary analysis of 2013-2018 National Health and Nutrition Examination Survey data including 914 nontobacco-using adolescents ages 16-19 years. TSE measures included cotinine and self-reported home TSE groups including no home TSE, thirdhand smoke (THS) exposure, and secondhand smoke (SHS)+THS exposure. Sleep duration was assessed in hours and categorically as insufficient sleep (recommended hours). Weighted multiple linear regression and multinomial regression models were conducted.

RESULTS

Adolescents with higher log-cotinine levels had higher number of sleep hours (β = 0.31, 95%CI = 0.02,0.60) and were at increased odds of reporting excess sleep (AOR = 1.41, 95%CI = 1.40,1.42), but were at reduced odds of reporting insufficient sleep (AOR = 0.88, 95%CI = 0.87,0.89). Compared to adolescents with no home TSE, adolescents with home THS exposure and home SHS+THS exposure were at increased odds of reporting insufficient sleep (AOR = 2.27, 95%CI = 2.26,2.29; AOR = 2.75, 95%CI = 2.72,2.77, respectively) and excess sleep (AOR = 1.89, 95%CI = 1.87,1.90; AOR = 5.29, 95%CI = 5.23,5.34, respectively).

CONCLUSIONS

TSE may affect insufficient and excess sleep duration among adolescents. Eliminating TSE may promote adolescent respiratory and sleep health.

Tobacco Smoke Exposure, School Engagement, School Success, and Afterschool Activity Participation Among US Children

BACKGROUND

Tobacco smoke exposure (TSE), defined as secondhand smoke (SHS) and thirdhand smoke (THS), is associated with negative health consequences. This study's objective was to assess the associations between home TSE status and school engagement, school success, and afterschool activity participation among school-aged children.

METHODS

We conducted a secondary analysis of 2018-2019 National Survey of Children's Health cross-sectional data. Children ages 6-11 years (N = 17,466) were categorized into home TSE groups: no home TSE; THS exposure only; and SHS and THS exposure. Weighted logistic and Poisson regression models were built.

RESULTS

Compared to children with no home TSE, children with home THS exposure only and SHS and THS exposure were at decreased odds of being engaged in school (AOR = 0.69, 95%CI = 0.57, 0.83; AOR = 0.63, 95%CI = 0.41, 0.97, respectively), and at increased odds of having ≥1 school-to-home contact about child problems in school (AOR = 1.83, 95%CI = 1.50, 2.23; AOR = 1.58, 95%CI = 1.05, 2.37, respectively). Children with THS exposure only were at increased odds of missing ≥1 school day (AOR = 1.43, 95%CI = 1.13, 1.81). Children with THS exposure only (ARR = 0.90, 95%CI = 0.83, 0.96) and SHS and THS exposure (ARR = 0.74, 95%CI = 0.61, 0.89) were at reduced likelihood of participating in a higher number of afterschool activities.

CONCLUSIONS

Children exposed to home tobacco smoke are at unique risk for poorer school engagement and success.

Association between Diet Quality and Adolescent Wheezing: Effect Modification by Environmental Tobacco Smoke Exposure

RATIONALE

Protective effects of a high quality diet on respiratory health, particularly among youths exposed to environmental tobacco smoke (ETS), are unknown.

OBJECTIVES

To assess if a higher quality diet is associated with improved respiratory symptoms and lung function among adolescents, and if these associations are modified by ETS exposure.

METHODS

This was a cross-sectional study on 7,026 nonsmoking adolescents of the 2003-2012 National Health and Nutrition Examination Survey. Diet quality was assessed using the Healthy Eating Index-2010 score (HEI-2010), categorized into quintiles. ETS exposure was measured using serum cotinine, dichotomized as high (>2.99 ng/ml) or low (≤2.99 ng/ml). Outcomes included the presence of wheezing and cough symptoms in the past 12 months, and in a sub-group, spirometric lung function. Survey-design adjusted logistic and linear models evaluated associations between diet and 1) respiratory symptoms and 2) lung function, respectively, and assessed the interaction between HEI-2010 and serum cotinine.

RESULTS

While there were no significant associations between diet quality and respiratory symptoms, there was a significant interaction between HEI-2010 and serum cotinine on wheezing (pint = 0.011). In models stratified by serum cotinine, adolescents with high serum cotinine and the healthiest diet (5th quintile HEI-2010) experienced lower wheezing odds (OR, 0.10; 95% CI, 0.02-0.61), compared to those with the poorest diet (1st quintile HEI-2010). In contrast, among adolescents with low serum cotinine, there were no significant differences in any respiratory symptoms between those with the highest, compared to the lowest diet quality. Of the sub-group with spirometry data (n = 3,166), there was a trend towards better lung function with improving diet quality, although this did not achieve statistical significance. There was no effect modification by ETS exposure on the relationship between diet quality and lung function.

CONCLUSIONS

Consuming a higher quality diet was associated with lower wheezing odds in adolescents with substantial ETS exposure. While longitudinal studies are needed, public health interventions to improve diet quality in vulnerable, environmentally-exposed populations merit consideration.

Tobacco smoke exposure and fractional exhaled nitric oxide levels among U.S. adolescents

BACKGROUND

Fractional exhaled nitric oxide (FeNO) can objectively guide clinical practice in the assessment, diagnosis, and treatment of eosinophilic airway inflammation. FeNO values may be affected by current smoking, but the role of tobacco smoke exposure (TSE) is understudied.

OBJECTIVE

This study investigated the associations between biochemically validated and self-reported TSE and FeNO levels among U.S. nonsmoking adolescents without asthma.

METHODS

National Health and Nutrition Examination Survey 2007-2012 data were used. TSE was assessed via serum cotinine and self-reported measures. We assessed FeNO continuously and using cutpoints of >35 ppb and >50 ppb to indicate likely eosinophilic inflammation in children and adults, respectively. We conducted linear and logistic regression adjusting for potential covariates.

RESULTS

Overall, 34.0% of adolescents had low cotinine (0.05-2.99 ng/ml), 6.2% had high cotinine (≥3.00 ng/ml), and 11.9% had home TSE. Compared to adolescents with no/minimal cotinine, adolescents with high cotinine were at reduced odds to have FeNO >35 ppb (adjusted odds ratio [aOR] = 0.54, 95%CI = 0.43,0.69). Adolescents with low cotinine had lower FeNO values (β = -2.05, 95%CI = -3.61,-0.49), and were also at decreased odds to have FeNO >35 ppb (aOR = 0.74, 95%CI = 0.66,0.83) and FeNO >50 ppb (aOR = 0.62, 95%CI = 0.53,0.72). Adolescents with home TSE were at reduced odds to have FeNO >50 ppb (aOR = 0.72, 95%CI = 0.57,0.91) than adolescents without home TSE. Adolescents with a higher number of cigarettes/day smoked inside their home were at reduced odds to have FeNO >35 ppb (OR = 0.98, 95%CI = 0.97,0.99) and FeNO >50 ppb (OR = 0.98, 95%CI = 0.96,0.99).

CONCLUSIONS

TSE was associated with decreased FeNO levels. The addition of TSE may be clinically important when interpreting thresholds for FeNO.

Healthcare resources attributable to child tobacco smoke exposure

Background

Tobacco smoke exposure (TSE) places an economic toll on the U.S. healthcare system. There is a gap in the literature on pediatric emergency department (ED) and urgent care related healthcare costs and utilization specific to tobacco smoke-exposed patients. The objectives were to assess pediatric ED visits, urgent care visits and hospital admissions longitudinally, and baseline visit costs among tobacco smoke-exposed children (TSE group) relative to unexposed children (non-TSE group).

Methods and findings

We conducted a retrospective study using electronic medical records of 380 children ages 0–17 years in the TSE group compared to 1,140 in the non-TSE group propensity score matched via nearest neighbor search by child age, sex, race, and ethnicity. Linear and Poisson regression models were used. Overall, children had a mean of 0.19 (SE = 0.01) repeat visits within 30-days, and 0.69 (SE = 0.04) pediatric ED visits and 0.87 (SE = 0.03) urgent care visits over 12-months following their baseline visit. The percent of children with ≥ 1 urgent care visit was higher among the TSE group (52.4%) than the non-TSE group (45.1%, p = 0.01). Children in the TSE group (M = $1,136.97, SE = 76.44) had higher baseline pediatric ED visit costs than the non-TSE group (M = $1,018.96, SE = 125.51, p = 0.01). Overall, children had 0.08 (SE = 0.01) hospital admissions over 12-months, and the TSE group (M = 0.12, SE = 0.02) had higher mean admissions than the non-TSE group (M = 0.06, SE = 0.01, p = 0.02). The child TSE group was at 1.85 times increased risk of having hospital admissions (95% CI = 1.23, 2.79, p = 0.003) than the non-TSE group.

Conclusions

Tobacco smoke-exposed children had higher urgent care utilization and hospital admissions over 12-months, and higher pediatric ED costs at baseline. Pediatric ED visits, urgent care visits, and hospitalizations may be opportune times for initiating tobacco control interventions, which may result in reductions of preventable acute care visits.

High Cotinine and Healthcare Utilization Disparities Among Low-Income Children

INTRODUCTION

This study assesses the associations of child salivary cotinine, parent-reported smoking, and child tobacco smoke exposure with the number of child healthcare visits and hospital admissions over a 6-month period. This study also assesses the relationships between participant characteristics and child cotinine.

METHODS

Longitudinal data were evaluated from a sample of 313 clinically ill children aged 0-9 years who lived with a smoker and presented to a pediatric emergency department or urgent care in 2016-2018. In 2020, cotinine measurements were log transformed, and Poisson and linear regression were performed.

RESULTS

The majority of the children came from low-income homes (66.1%) and had public insurance/self-pay (95.5%). Child cotinine concentrations ranged from 0.1 to 332.0 ng/mL (geometric mean=4.8 ng/mL, 95% CI=4.1, 5.5). Poisson regression results indicated that each 1-unit increase of log-cotinine concentration was associated with an increase in pediatric emergency department visits over a 6-month period after the baseline visit, with an adjusted RR of 1.16 (95% CI=1.01, 1.34). Each 1-unit increase of log-cotinine concentration was associated with an increase in the frequency of hospital admissions over the 6-month period, with an adjusted RR of 1.50 (95% CI=1.08, 2.09). No differences were found between parent-reported smoking or child tobacco smoke exposure and healthcare utilization. Linear regression results indicated that children who were younger (β= -0.227, p=0.049), were White (geometric mean=5.5 ng/mL), had a medical history of prematurity (geometric mean=8.1 ng/mL), and had a winter baseline visit (geometric mean=6.5 ng/mL) had higher cotinine concentrations. Children living in apartments (geometric mean=5.5 ng/mL) and multiunit homes (geometric mean=5.5 ng/mL) had higher cotinine concentrations than those in single-family homes (geometric mean=3.6 ng/mL).

CONCLUSIONS

Routine biochemical screening could identify children who are in need of intensive tobacco smoke exposure reduction interventions.

Association between e-cigarette use and sleep deprivation in U.S. Young adults: Results from the 2017 and 2018 Behavioral Risk Factor Surveillance System

BACKGROUND

Few studies have assessed the association between e-cigarette use and sleep deprivation. This is an important question given the rapid increase in e-cigarette use among young adults in recent years.

PURPOSE

To determine whether e-cigarette use is associated with sleep deprivation in a sample of young (18-24 years-old) American adults.

METHODS

We used pooled cross-sectional data from the 2017 and 2018 Behavioral Risk Factor Surveillance System (BRFSS), selecting respondents aged 18 to 24 from forty-one states and U.S. territories that included the e-cigarette and sleep modules in the interview (N = 19,701). Poisson regression models tested the relationship between e-cigarette use and sleep deprivation. We adjusted for sociodemographic variables, physical activity, mental health, BMI, smokeless tobacco products use, alcohol drinking, and smoking.

RESULTS

In the pooled dataset, the weighted prevalence of current or former e-cigarette use was 47% and 35% of participants self-reported sleep deprivation. After adjusting for confounders, former e-cigarette users were 1.17 times more likely to report sleep deprivation, compared to never users (95%CI: 1.06, 1.29). The prevalence ratio for self-reported sleep deprivation increased to 1.42 (95%CI: 1.23, 1.65) for everyday users, compared to never e-cigarette users.

CONCLUSIONS

These findings suggest that e-cigarette use might be related to sleep deprivation in young adults. Future longitudinal studies should assess the causal and dose-response nature of this relationship.

Secondhand Smoke Exposure and Subsequent Academic Performance Among U.S. Youth

INTRODUCTION

Previous research shows the associations between secondhand smoke exposure and health consequences among youth, but less is known about its effect on academic performance. This study examines a dose-response relationship between secondhand smoke exposure and subsequent academic performance among U.S. youth.

METHODS

Data were from a nationally representative sample of youth non-tobacco users (aged 12-16 years) in Wave 2 (2014-2015) who completed Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study (n=9,020). Past-7-day number of hours exposed to secondhand smoke at Wave 2 and academic performance at Wave 3 (1=Mostly As to 9=Mostly Fs) were assessed. Weighted multivariable linear regression models were used to examine the association between hours of self-reported secondhand smoke exposure at Wave 2 and academic performance at Wave 3 (1=Mostly Fs, 9=Mostly As), adjusting for covariates including sociodemographics, prior academic performance, internalizing and externalizing problems, and substance use problems. Analyses were conducted in 2019.

RESULTS

More than 30% of U.S. youth non-tobacco users were exposed to secondhand smoke in the past 7 days. Compared with unexposed youth at Wave 2, those who were exposed for 1-9 hours had poorer academic performance at Wave 3 (adjusted regression coefficient= -0.11, 95% CI= -0.18, -0.04), and those who were exposed for ≥10 hours at Wave 2 had even poorer academic performance (adjusted regression coefficient = -0.31, 95% CI= -0.45, -0.18).

CONCLUSIONS

A dose-response relationship was observed between secondhand smoke exposure and academic performance among U.S. youth. Reducing youth secondhand smoke exposure may promote academic performance and subsequent educational attainment.

Sources and Biomarkers of Secondhand Tobacco Smoke Exposure in Urban Adolescents

OBJECTIVE

In an urban adolescent population, we evaluated sources of exposure to secondhand smoke exposure (SHS), examined differences in exposure by race/ethnicity, age and sex, and determined the relationship between exposure source(s) and the biomarkers cotinine and NNAL.

METHODS

Participants were recruited from a public hospital-based outpatient clinic in San Francisco, CA, USA.

RESULTS

Of a sample of N = 298 adolescents screened, 235 were biologically confirmed to be exposed to tobacco smoke. Of those, N = 16 were active smokers and N = 219 were exposed to SHS; 91 (39%) were heavily SHS exposed (median cotinine = 0.76 ng/mL) and 128 (54%) had light SHS exposure (median cotinine = 0.11 ng/mL). Within those SHS exposed, the most common source of exposure was in a public area. No significant racial/ethnic differences were found, although African American adolescents were more likely to live in a home that allowed smoking. Older adolescents were more likely to be exposed across several difference sources, and females more likely to be exposed in a car and in public areas. Past 7-day exposure in the home, in a car, and current blunt use were significantly related to biomarkers of exposure.

CONCLUSIONS

Urban adolescents are exposed to SHS across a variety of sources. Although exposure in a public area is most common, exposure in the home and in cars significantly influences tobacco biomarker levels. Interventions to reduce exposure would have the greatest impact in this population if they focused on reducing exposure in the home and in cars. History of blunt use is a strong determinant of tobacco exposure.

Screening, Counseling, and Health Care Utilization Among a National Sample of Adolescent Smokers

Our objective was to assess the association between cigarette smoking and tobacco use screening and advising to quit use by a clinician among adolescents nationwide. We also examined the relationships between smoking and health-related indicators and health care utilization. A secondary analysis of the 2017 National Survey on Drug Use and Health was conducted (N = 11 884). Ever smokers were less likely to be screened for tobacco use. Current smokers and those who were nicotine dependent were more likely to have been advised to quit use. Ever and current smokers were significantly more likely to report good/fair/poor health status, illness-related school absenteeism in the past 30 days, and were more likely to have had an emergency department visit or an overnight hospital stay. Standardized tobacco control efforts are needed in health care settings to support clinicians to screen all adolescents for tobacco use and advise every smoker irrespective of smoking frequency to quit use.

Tobacco Smoke Exposure, Respiratory Health, and Health-care Utilization Among US Adolescents

BACKGROUND

Tobacco smoke exposure adversely affects respiratory health. However, the effects of exposure on adolescents without asthma are not well known.

RESEARCH QUESTION

To what degree are biochemically measured and self-reported tobacco smoke exposure associated with pulmonary function and health-care utilization among US nonsmoking adolescents?

STUDY DESIGN AND METHODS

We analyzed 2007-2012 National Health and Nutrition Examination Survey data (N = 2,482). Tobacco smoke exposure was assessed with serum cotinine and self-reported home exposure. We built multiple regression, logistic regression, and Poisson regression models, depending on the outcome.

RESULTS

Approximately 3% of adolescents had high cotinine (3.00-15.00 ng/mL), 35.7% had low cotinine (0.05-2.99 ng/mL), and 10.9% had home exposure. Adolescents with high cotinine had significantly lower FEV₁% (mean, 97.4; SE, 2.09; β, -8.99; 95% CI, -15.64 to -2.33) and FVC% (mean, 97.4; SE, 2.06; β, -8.42; 95% CI, -14.74 to -2.11) than adolescents with no/minimal cotinine (< 0.05 ng/mL; mean, 101.0; SE, 0.45; mean, 99.9; SE, 0.46, respectively). Adolescents with high cotinine were less likely to have a past year health-care visit (adjusted OR [aOR], 0.57; 95% CI, 0.38 to 0.88), but more likely to have an overnight hospital stay (aOR, 4.82; 95% CI, 2.58 to 9.00), and at increased risk of having a higher number of overnight hospital stays (adjusted relative risk [aRR], 4.04; 95% CI, 2.27 to 7.21). Adolescents with low cotinine were less likely to have a health-care visit (aOR, 0.84; 95% CI, 0.71 to 0.99), but more likely to have an overnight hospital stay (aOR, 4.82; 95%CI, 2.58 to 9.00) than adolescents with no/minimal cotinine. Adolescents with low cotinine were at increased risk of having a higher number of health-care visits (aRR, 1.06; 95% CI, 1.02 to 1.11) and overnight hospital stays (aRR, 2.02; 95% CI, 1.46 to 2.81). Adolescents with home exposure had lower FEV₁% (mean, 99.9; SE, 1.17; β, -5.11; 95% CI, -9.26 to -0.96) and FVC% (mean, 100.0; SE, 1.16; β, -5.36; 95% CI, -9.30 to -1.42) than adolescents with no home exposure (mean, 101.0; SE, 0.38; mean, 100.2; SE, 0.39, respectively). Adolescents with home exposure were more likely to have an overnight hospital stay (aOR, 5.65; 95% CI, 3.66 to 8.73) and at increased risk of having a higher number of overnight hospital stays (aRR, 4.08; 95% CI, 2.76 to 6.03).

INTERPRETATION

Detectable serum cotinine levels and self-reported home exposure were distinctively associated with decreased pulmonary function and increased health-care utilization.

Sources and Biomarkers of Secondhand Tobacco Smoke Exposure in Urban Adolescents

OBJECTIVE

In an urban adolescent population, we evaluated sources of exposure to secondhand smoke exposure (SHS), examined differences in exposure by race/ethnicity, age and sex, and determined the relationship between exposure source(s) and the biomarkers cotinine and NNAL.

METHODS

Participants were recruited from a public hospital-based outpatient clinic in San Francisco, CA, USA.

RESULTS

Of a sample of N = 298 adolescents screened, 235 were biologically confirmed to be exposed to tobacco smoke. Of those, N = 16 were active smokers and N = 219 were exposed to SHS; 91 (39%) were heavily SHS exposed (median cotinine = 0.76 ng/mL) and 128 (54%) had light SHS exposure (median cotinine = 0.11 ng/mL). Within those SHS exposed, the most common source of exposure was in a public area. No significant racial/ethnic differences were found, although African American adolescents were more likely to live in a home that allowed smoking. Older adolescents were more likely to be exposed across several difference sources, and females more likely to be exposed in a car and in public areas. Past 7-day exposure in the home, in a car, and current blunt use were significantly related to biomarkers of exposure.

CONCLUSIONS

Urban adolescents are exposed to SHS across a variety of sources. Although exposure in a public area is most common, exposure in the home and in cars significantly influences tobacco biomarker levels. Interventions to reduce exposure would have the greatest impact in this population if they focused on reducing exposure in the home and in cars. History of blunt use is a strong determinant of tobacco exposure.

E-cigarette use and sleep-related complaints among youth

INTRODUCTION

E-cigarette use is highly prevalent among adolescents. However, little research has examined the relationship between e-cigarette use and sleep-related complaints in this population. The objective of this study was to assess whether exclusive e-cigarette, exclusive combusted cigarette, and dual-product use are associated with sleep-related complaints among adolescents.

METHODS

Participants were 9,588 U.S. adolescents from the Population Assessment of Tobacco and Health Study, a nationally representative cohort, followed from 2013 through 2015. Using logistic regression, we examined the cross-sectional association between past-year e-cigarette, combusted cigarette, or dual-product use and past-year sleep-related complaints (bad dreams, sleeping restlessly, or falling asleep during the day), both measured at Wave 2. We controlled for Wave 1 demographic characteristics, emotional and behavioral health, and prior history of e-cigarette use, combusted cigarette use, and sleep-related complaints.

RESULTS

In unadjusted analyses, e-cigarette, combusted cigarette, and dual-product use were significantly associated with greater odds of sleep-related complaints, compared to use of neither product (e-cigarettes: OR = 1.61, 95% CI 1.34-1.94; combusted cigarettes: OR = 1.62, 95% CI 1.26-2.09; dual-product use: OR = 2.00, 95% CI 1.63-2.46). Associations between e-cigarette and dual-product use and sleep-related complaints remained significant in fully adjusted analyses (e-cigarettes: aOR = 1.29, 95% CI 1.05-1.59; dual-product use: aOR = 1.57, 95% CI 1.24-1.99), whereas associations with combusted cigarette use were significant in all models except the fully adjusted model (aOR = 1.30, 95% CI 0.98-1.71).

CONCLUSIONS

E-cigarette and dual-product use are significantly associated with greater odds of reporting sleep-related complaints among adolescents. Future research should evaluate whether this association may be causal.

Tobacco Use Behaviors and Perceptions of Parental Smokers in the Emergency Department Setting

Background

More information is needed about modifiable child tobacco smoke exposure (TSE) patterns in racially diverse parental smokers to tailor interventions designed to help parents quit smoking and reduce their child's TSE. Our objectives were to determine whether there were differences in smoking and TSE patterns based on parental race and child age and whether these patterns differed based on child age within black and white parental smokers. Secondary objectives were to assess the relationship between parental perceptions about the effects of smoking and the benefits of quitting on their child based on child age, race, and reported TSE patterns and to examine biochemically verified TSE levels by child age, race, and parent-reported TSE patterns.

Methods

Participants (N = 415) were non-Hispanic black and non-Hispanic white parental smokers, mean age (standard deviation [SD]) = 31.2 (7.2) years, who visited the Pediatric Emergency Department (PED) or Urgent Care (UC) with their child, mean age (SD) = 4.7 (4.6) years. Parents reported sociodemographics, smoking, and child TSE patterns. We conducted chi-square tests, independent t-tests, and general linear regression models to answer our primary objectives and linear regression models to answer our secondary objectives.

Results

Parents were 56.1% non-Hispanic black; 87.5% women; mean (SD) number of cigarettes smoked/day was 10.5(6.8). A higher proportion of parents with younger children <3 years old reported smoking bans compared with parents with older children ⩾3 to <18 years old (41.3% vs 19.7%, P < .0001). Subsequent analyses revealed this pattern for both black and white parents. A total of 212 (51%) of children had biochemical assessment of TSE; 89.6% had detectable TSE. Younger children had significantly higher cotinine levels than older children independent of their race (P < .001).

Conclusions

Children of parental smokers who visit the PED/UC were highly tobacco smoke exposed. Both black and white parental smokers with younger children were more likely to enforce smoking bans, but younger children had higher TSE levels than older children. Interventions that target this group of parental smokers with younger children may be more effective than interventions geared to all parental smokers.