Prenatal Opioid Exposure and Risk for Adverse Brain and Motor Outcomes in Infants Born Premature.

OBJECTIVE: To compare brain magnetic resonance imaging (MRI) biomarkers and neurodevelopmental test scores in infants born preterm with and without prenatal opioid exposure (POE). STUDY DESIGN: We examined 395 preterm infants (≤32 weeks gestational age) who had term-equivalent brain MRIs, composite scores from the Bayley Scales of Infant and Toddler Development-III at 2 years corrected age, and POE data. MRI parameters included total/regional brain volumes and severe punctate white matter lesions (PWMLs). We conducted bivariable analysis and multivariable logistic regression analyses. RESULTS: The mean ± SD gestational age was 29.3 ± 2.5 weeks; 35 (8.9%) had POE and 20 (5.1%) had severe PWML. Compared with unexposed infants, those with POE exhibited higher rates of severe PWML (17.1% vs 3.9%, respectively; P = .002); findings remained significant with an OR of 4.16 (95% CI, 1.26-13.68) after adjusting for confounders. On mediation analysis, the significant relationship between POE and severe PWML was not indirectly mediated through preterm birth/gestational age (OR, 0.93; 95% CI, 0.78-1.10), thus suggesting the association was largely driven by a direct adverse effect of POE on white matter. In multivariable analyses, POE was associated with a significantly lower score by -6.2 (95% CI, -11.8 to -0.6) points on the Bayley Scales of Infant and Toddler Development-III Motor subscale compared with unexposed infants. CONCLUSIONS: POE was associated with severe PWML; this outcome may be a direct effect of POE rather than being mediated by premature birth. POE was also associated with worse motor development. Continued follow-up to understand the long-term effects of POE is warranted.

Inflammatory marker levels in children with tobacco smoke exposure.

BACKGROUND: Tobacco smoke exposure (TSE) has inflammatory and immunosuppressive effects which may be associated with altered levels of inflammatory markers and pediatric illnesses. OBJECTIVE: The primary objective was to examine the associations of cotinine-confirmed and parent-reported child TSE patterns and discharge diagnoses with C-reactive protein (CRP), IL-8, and IL-10 in 0-11-year-old pediatric emergency department (PED) patients who lived with ≥ 1 smoker. METHODS: Saliva samples were obtained from 115 children with a mean (SD) age of 3.5 (3.1) years during the PED visit (T0). Saliva was analyzed for cotinine, CRP, IL-8, and IL-10. Parents self-reported their children's TSE patterns; children's medical records were reviewed to identify and categorize discharge diagnoses. Linear regression models were utilized to find T0 associations of cotinine-confirmed and parent-reported child TSE patterns, and PED diagnoses with each inflammatory marker. All models were adjusted for child race/ethnicity, child sex, annual household income, and housing type. The TSE models also adjusted for child discharge diagnosis. RESULTS: At T0, the geometric mean (GeoM) of cotinine was 4.1 ng/ml [95 %CI = 3.2-5.2]; the GeoMs of CRP, IL-8, and IL-10 were 3,326 pg/ml [95 %CI = 2,696-4,105], 474 pg/ml [95 %CI = 386-583], and 1.1 pg/ml [95 %CI = 0.9-1.3], respectively. Parent-reported child TSE patterns were positively associated with ln-transformed CRP levels, while adjusting for the covariates (ß^ = 0.012 [95 %CI:0.004-0.020], p = 0.037). In the parent-reported child TSE pattern model, there were significant positive associations between the covariate of child age with CRP and IL-8 levels (p = 0.028 and p < 0.001, respectively). Children with a bacterial diagnosis had higher IL-8 levels (p = 0.002) compared to the other diagnosis groups. CONCLUSIONS: Results indicate that parent-reported child TSE increases the expression of CRP in ill children and supports prior work demonstrating that IL-8 is higher in children with TSE who have bacterial infections. These findings should be examined in future research with ill children with and without TSE.

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 (ß = 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.

A Prospective Examination of the Interpersonal-Psychological Theory of Suicidal Behavior in Adolescents.

OBJECTIVE: Given the large and complex array of suicide risk factors, theoretical frameworks are critical to furthering our understanding of risk. This study prospectively examined several key constructs of the interpersonal-psychological theory of suicidal behavior (IPTS) in a large, geographically diverse sample of U.S. adolescents. METHOD: Conducted in collaboration with the Pediatric Emergency Care Applied Research Network, adolescents, ages 12 to 17, were recruited from emergency departments. Baseline and 6-month follow-up samples were comprised of 6,448 (59% female sex) and 2,009 (64% female sex) adolescents, with self-identified race/ethnicity as follows (baseline/follow-up): White (52%/54%), Black (22%/23%), Multiracial (6%/6%), American Indian (3%/3%), other/unknown race (15%/14%), and Latinx (25%/23%). Youth and parents completed adolescent suicide risk surveys at baseline and 6-month follow-up (retention, 69%). Latent class analysis was used to identify classes of painful and provocative events (PPE), considered a precursor to acquired capability. RESULTS: In keeping with IPTS tenets, thwarted belongingness (TB), perceived burdensomeness (PB), and the interaction between TB and PB were each significant predictors of suicidal ideation at baseline and follow-up. However, only PB and PPE were significant predictors of cross-sectional suicide attempts and only TB and PPE were significant predictors of prospective suicide attempts in models that adjusted for baseline suicidal ideation. The three-way interaction among PB, TB and PPE was nonsignificant. CONCLUSIONS: Results from this large-scale prospective study suggest the importance of TB, PB, and PPE to our understanding of suicidal thoughts and suicide attempts among adolescents, pointing to promising prevention and intervention targets.

Carcinogenic and tobacco smoke-derived particulate matter biomarker uptake and associated healthcare patterns among children.

BACKGROUND: The objective was to assess the associations of child tobacco smoke exposure (TSE) biomarkers (urinary cotinine, NNAL, and nicotelline N-oxides) and parent-reported smoking and child TSE patterns with total hospital visits, pediatric emergency department (PED) visits, urgent care (UC), revisits, and hospital admissions among 0-9-year-olds. METHODS: A convenience sample of PED/UC patients (N = 242) who presented to a large, US children's hospital who had baseline urine samples assayed for the TSE biomarkers of interest were included. Biomarker levels were log-transformed, and linear and Poisson regression models were built. RESULTS: The geometric means of child cotinine, creatinine-adjusted NNAL, and N-oxide levels were 11.2 ng/ml, 30.9 pg/mg creatinine, and 24.1 pg/ml, respectively. The mean (SD) number of daily cigarettes smoked by parents was 10.2 (6.1) cigarettes. Each one-unit increase in log-NNAL levels was associated with an increase in total UC visits (aRR = 1.68, 95% CI = 1.18-2.39) among 0-9-year-olds, while controlling for the covariates. Each one-unit increase in child log-NNAL/cotinine ratio (×103) values was associated with an increase in total hospital visits (aRR = 1.39, 95% CI = 1.10-1.75) and UC visits (aRR = 1.56, 95% CI = 1.14-2.13) over 6 months. CONCLUSION: Systematic screening for child TSE should be conducted during all hospital visits. The comprehensive assessment of TSE biomarkers should be considered to objectively measure young children's exposure. IMPACT: Higher levels of cotinine, a widely used tobacco smoke exposure biomarker, have been associated with higher healthcare utilization patterns among children. Less is known on the associations of carcinogenic and tobacco smoke-derived particulate matter biomarker uptake with child healthcare utilization patterns. This study assessed the associations of several biomarkers with healthcare utilization patterns among pediatric emergency department patients ages 0-9 years who lived with tobacco smokers. Higher urinary NNAL biomarker levels, in individual and ratio form with cotinine, increased children's risk for urgent care visits over 6 months. Higher parent-reported cumulative child tobacco smoke exposure increased children's risk for hospital admissions.

Electronic cigarette use and cigarette smoking associated with inadequate sleep duration among U.S. young adults.

OBJECTIVE: Nicotine use can influence inadequate sleep, but less is known about the associations of exclusive and dual use of electronic cigarettes (e-cigarettes) with combustible cigarettes in U.S. young adults. This study assessed the associations between current exclusive e-cigarette use, exclusive cigarette smoking, and dual e-cigarette and combustible cigarette use and inadequate sleep duration among U.S. young adults. METHODS: We performed a secondary analysis of 2020 Behavioral Risk Factor Surveillance System (BRFSS) data including 13,978 U.S. young adults ages 18-24 years. Inadequate sleep duration was assessed categorically using the National Sleep Foundation's age-specific recommendations that define <7 h as inadequate sleep. Weighted logistic regression models were performed while adjusting for participants' sex, race/ethnicity, education level, annual household income level, body mass index, current physical activity, mental health status, disability status, current alcohol use, and current smokeless tobacco use. RESULTS: Concerning use patterns, 11.8% of young adults were exclusive e-cigarette users, 4.7% were exclusive cigarette smokers, and 3.8% were dual e-cigarette and combustible cigarette users. Exclusive e-cigarette users (adjusted odds ratio [AOR] = 1.41, 95% confidence interval [CI] = 1.16-1.72), exclusive cigarette smokers (AOR = 1.63, 95%CI = 1.22-2.18), and dual product users (AOR = 2.03, 95%CI = 1.44-2.86) were at increased odds of having inadequate sleep duration compared to non-users, while adjusting for the covariates. Additionally, dual product users were at increased odds (AOR = 1.52, 95%CI = 1.06-2.19) of reporting inadequate sleep duration compared to exclusive e-cigarette users, while adjusting for the covariates. CONCLUSIONS: Current e-cigarette and cigarette use may influence inadequate sleep among U.S. young adults. Tobacco cessation efforts may encourage increased sleep health.

Distinguishing Exposure to Secondhand and Thirdhand Tobacco Smoke among U.S. Children Using Machine Learning: NHANES 2013-2016.

While the thirdhand smoke (THS) residue from tobacco smoke has been recognized as a distinct public health hazard, there are currently no gold standard biomarkers to differentiate THS from secondhand smoke (SHS) exposure. This study used machine learning algorithms to assess which combinations of biomarkers and reported tobacco smoke exposure measures best differentiate children into three groups: no/minimal tobacco smoke exposure (NEG); predominant THS exposure (TEG); and mixed SHS and THS exposure (MEG). Participants were 4485 nonsmoking 3-17-year-olds from the National Health and Nutrition Examination Survey 2013-2016. We fitted and tested random forest models, and the majority (76%) of children were classified in NEG, 16% were classified in TEG, and 8% were classified in MEG. The final classification model based on reported exposure, biomarker, and biomarker ratio variables had a prediction accuracy of 95%. This final model had prediction accuracies of 100% for NEG, 88% for TEG, followed by 71% for MEG. The most important predictors were the reported number of household smokers, serum cotinine, serum hydroxycotinine, and urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL). In the absence of validated biomarkers specific to THS, comprehensive biomarker and questionnaire data for tobacco smoke exposure can distinguish children exposed to SHS and THS with high accuracy.

Sources of Tobacco Smoke Exposure and Their Associations With Serum Cotinine Levels Among US Children and Adolescents.

INTRODUCTION: We assessed tobacco smoke exposure (TSE) levels based on private and public locations of TSE according to race and ethnicity among US school-aged children ages 6-11 years and adolescents ages 12-17 years. AIMS AND METHODS: Data were from 5296 children and adolescents who participated in the National Health and Nutrition Examination Survey (NHANES) 2013-2018. Racial and ethnic groups were non-Hispanic white, black, other or multiracial, and Hispanic. NHANES assessed serum cotinine and the following TSE locations: homes and whether smokers did not smoke indoors (home thirdhand smoke [THS] exposure proxy) or smoked indoors (secondhand [SHS] and THS exposure proxy), cars, in other homes, restaurants, or any other indoor area. We used stratified weighted linear regression models by racial and ethnic groups and assessed the variance in cotinine levels explained by each location within each age group. RESULTS: Among 6-11-year-olds, exposure to home THS only and home SHS + THS predicted higher log-cotinine among all racial and ethnic groups. Non-Hispanic white children exposed to car TSE had higher log-cotinine (ß = 1.64, 95% confidence interval [CI] = 0.91% to 2.37%) compared to those unexposed. Non-Hispanic other/multiracial children exposed to restaurant TSE had higher log-cotinine (ß = 1.13, 95% CI = 0.23% to 2.03%) compared to those unexposed. Among 12-17-year-olds, home SHS + THS exposure predicted higher log-cotinine among all racial and ethnic groups, except for non-Hispanic black adolescents. Car TSE predicted higher log-cotinine among all racial and ethnic groups. Non-Hispanic black adolescents with TSE in another indoor area had higher log-cotinine (ß = 2.84, 95% CI = 0.85% to 4.83%) compared to those unexposed. CONCLUSIONS: TSE location was uniquely associated with cotinine levels by race and ethnicity. Smoke-free home and car legislation are needed to reduce TSE among children and adolescents of all racial and ethnic backgrounds. IMPLICATIONS: Racial and ethnic disparities in TSE trends have remained stable among US children and adolescents over time. This study's results indicate that TSE locations differentially contribute to biochemically measured TSE within racial and ethnic groups. Home TSE significantly contributed to cotinine levels among school-aged children 6-11 years old, and car TSE significantly contributed to cotinine levels among adolescents 12-17 years old. Racial and ethnic differences in locations of TSE were observed among each age group. Study findings provide unique insight into TSE sources, and indicate that home and car smoke-free legislation have great potential to reduce TSE among youth of all racial and ethnic backgrounds.

Policy-relevant differences between secondhand and thirdhand smoke: strengthening protections from involuntary exposure to tobacco smoke pollutants.

Starting in the 1970s, individuals, businesses and the public have increasingly benefited from policies prohibiting smoking indoors, saving thousands of lives and billions of dollars in healthcare expenditures. Smokefree policies to protect against secondhand smoke exposure, however, do not fully protect the public from the persistent and toxic chemical residues from tobacco smoke (also known as thirdhand smoke) that linger in indoor environments for years after smoking stops. Nor do these policies address the economic costs that individuals, businesses and the public bear in their attempts to remediate this toxic residue. We discuss policy-relevant differences between secondhand smoke and thirdhand smoke exposure: persistent pollutant reservoirs, pollutant transport, routes of exposure, the time gap between initial cause and effect, and remediation and disposal. We examine four policy considerations to better protect the public from involuntary exposure to tobacco smoke pollutants from all sources. We call for (a) redefining smokefree as free of tobacco smoke pollutants from secondhand and thirdhand smoke; (b) eliminating exemptions to comprehensive smoking bans; (c) identifying indoor environments with significant thirdhand smoke reservoirs; and (d) remediating thirdhand smoke. We use the case of California as an example of how secondhand smoke-protective laws may be strengthened to encompass thirdhand smoke protections. The health risks and economic costs of thirdhand smoke require that smokefree policies, environmental protections, real estate and rental disclosure policies, tenant protections, and consumer protection laws be strengthened to ensure that the public is fully protected from and informed about the risks of thirdhand smoke exposure.

Perceptions and experiences of Latinx parents with language barriers in a pediatric emergency department: a qualitative study.

BACKGROUND: Prior research has shown disparities exist among Latinx children who require treatment for respiratory illnesses within the pediatric emergency department (PED). Limited data exist regarding Latinx families' experiences on the care they received at PEDs within non-traditional destination areas (NDA). Their experiences can identify areas of improvement to potentially reduce healthcare disparities among pediatric patients within this population. The purpose of this qualitative study was to explore the lived experiences of Latinx families with low English proficiency in the PED with a NDA. The broader purpose was to identify areas of improvement for reducing health care disparities among Latinx families. METHODS: We used qualitative methods to analyze semi-structured interviews among Latinx families who presented to the PED with their 0-2 year-old child for a respiratory illness from May 2019 through January 2020. All participants had low English proficiency and requested a Spanish interpreter during registration. All interviews were transcribed and reviewed using thematic analysis based on a phenomenology framework. RESULTS: Interviews were conducted with 16 Latinx parents. Thematic analysis revealed four major themes: (1) Uncertainty - Families expressed uncertainty regarding how to care for a child with distressing symptoms, (2) Communication - Families favored in-person interpreters which enhanced communication and allowed families to feel more informed, (3) System Burden - Families reported that the unfamiliarity with the US health system and lack of resources are additional burdens, and (4) Emotional Support - The emergency department visits garnered confidence and reassurance for families. CONCLUSIONS: Our study identified four major themes among Latinx families within a PED of a NDA. Potential areas of interventions should focus on supporting access to an interpreter, improving information delivery, and enhancing education on community resources for families with low English proficiency.

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 (ß = -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.

Altered microbiomes in thirdhand smoke-exposed children and their home environments.

INTRODUCTION: Tobacco smoke contains numerous toxic chemicals that accumulate in indoor environments creating thirdhand smoke (THS). We investigated if THS-polluted homes differed in children's human and built-environment microbiomes as compared to THS-free homes. METHODS: Participants were n = 19 THS-exposed children and n = 10 unexposed children (≤5 years) and their caregivers. Environmental and biological samples were analyzed for THS pollutants and exposure. Swab samples were collected from the built-environment (floor, table, armrest, bed frame) and child (finger, nose, mouth, and ear canal), and 16S ribosomal RNA genes were analyzed for bacterial taxa using high-throughput DNA sequencing. RESULTS: Phylogenetic α-diversity was significantly higher for the built-environment microbiomes in THS-polluted homes compared to THS-free homes (p < 0.014). Log2-fold comparison found differences between THS-polluted and THS-free homes for specific genera in samples from the built-environment (e.g., Acinetobacter, Bradyrhizobium, Corynebacterium, Gemella, Neisseria, Staphylococcus, Streptococcus, and Veillonella) and in samples from children (esp. Corynebacterium, Gemella, Lautropia, Neisseria, Rothia, Staphylococcus, and Veillonella). CONCLUSION: When exposed to THS, indoor and children microbiomes are altered in an environment-specific manner. Changes are similar to those reported in previous studies for smokers and secondhand smoke-exposed persons. THS-induced changes in child and built-environmental microbiomes may play a role in clinical outcomes in children. IMPACT: Despite smoking bans, children can be exposed to tobacco smoke residue (i.e., thirdhand smoke) that lingers on surfaces and in settled house dust. Thirdhand smoke exposure is associated with changes in the microbiomes of the home environment and of the children living in these homes. Thirdhand smoke is associated with increased phylogenetic diversity of the home environment and changes in the abundances of several genera of the child microbiome known to be affected by active smoking and secondhand smoke (e.g., Corynebacterium, Staphylococcus, Streptococcus). Thirdhand smoke exposure by itself may induce alterations in the microbiome that play a role in childhood pathologies.

Combustible and electronic cigarette use and insufficient sleep among U.S. high school students.

The study aimed to investigate the relationships between current exclusive e-cigarette use, exclusive combustible cigarette smoking, and dual use of e-cigarettes and combustible cigarettes, and insufficient sleep among U.S. adolescents. We conducted a secondary data analysis of the 2017 Youth Risk Behavior Survey including 11,296 U.S. high school students. Current (past 30-day) tobacco use groups included exclusive e-cigarette users, exclusive combustible cigarette smokers, and dual-product users. We performed weighted unadjusted and adjusted logistic regression analyses. Insufficient sleep was defined as <8 h/night and < 7 h/night. Overall, 73.4% of adolescents reported insufficient sleep <8 h/night. Compared with non-tobacco users, exclusive e-cigarette users were more likely to report insufficient sleep <8 h/night (odds ratio [OR] = 1.55, 95%CI = 1.12-2.14; adjusted OR [aOR] = 1.57, 95%CI = 1.01-2.43) and < 7 h/night (OR = 1.55, 95%CI = 1.19-2.01; aOR = 1.61, 95%CI = 1.16-2.24). Dual-product users were at increased odds to report insufficient sleep <8 h/night (OR = 3.15, 95%CI = 1.87-5.32) and < 7 h/night (OR = 2.64, 95%CI = 1.87-3.72; aOR = 1.73, 95%CI = 1.14-2.62) than non-tobacco users. Exclusive combustible cigarette smokers were less likely to report insufficient sleep <8 h/night (aOR = 0.49, 95%CI = 0.29-0.84) than non-tobacco users, but no differences were found based on insufficient sleep <7 h/night. When comparing current use groups, exclusive e-cigarette users were at 3.20 increased odds (95%CI = 1.65-6.22) and dual-product users were at 3.26 increased odds (95%CI = 1.51-7.03) to report insufficient sleep <8 h/night when compared with exclusive combustible cigarette smokers after covariate adjustment. Dual-product users were 1.89 times more likely (95%CI = 1.01-3.51) to report insufficient sleep <7 h/night when compared with exclusive combustible cigarette smokers. School-based prevention efforts for tobacco use may promote sufficient sleep in youth.

Remediating Thirdhand Smoke Pollution in Multiunit Housing: Temporary Reductions and the Challenges of Persistent Reservoirs.

INTRODUCTION: Toxic tobacco smoke residue, also known as thirdhand smoke (THS), can persist in indoor environments long after tobacco has been smoked. This study examined the effects of different cleaning methods on nicotine in dust and on surfaces. AIMS AND METHODS: Participants had strict indoor home smoking bans and were randomly assigned to: dry/damp cleaning followed by wet cleaning 1 month later (N = 10), wet cleaning followed by dry/damp cleaning (N = 10) 1 month later, and dry/damp and wet cleaning applied the same day (N = 28). Nicotine on surfaces and in dust served as markers of THS and were measured before, immediately after, and 3 months after the cleaning, using liquid chromatography with triple quadrupole mass spectrometry (LC-MS/MS). RESULTS: Over a 4-month period prior to cleaning, surface nicotine levels remained unchanged (GeoMean change: -11% to +8%; repeated measures r = .94; p < .001). Used separately, dry/damp and wet cleaning methods showed limited benefits. When applied in combination, however, we observed significantly reduced nicotine on surfaces and in dust. Compared with baseline, GeoMean surface nicotine was 43% lower immediately after (z = -3.73, p < .001) and 53% lower 3 months later (z = -3.96, p < .001). GeoMean dust nicotine loading declined by 60% immediately after (z = -3.55, p < .001) and then increased 3 months later to precleaning levels (z = -1.18, p = .237). CONCLUSIONS: Cleaning interventions reduced but did not permanently remove nicotine in dust and on surfaces. Cleaning efforts for THS need to address persistent pollutant reservoirs and replenishment of reservoirs from new tobacco smoke intrusion. THS contamination in low-income homes may contribute to health disparities, particularly in children. IMPLICATIONS: Administered sequentially or simultaneously, the tested cleaning protocols reduced nicotine on surfaces by ~50% immediately after and 3 months after the cleaning. Nicotine dust loading was reduced by ~60% immediately after cleaning, but it then rebounded to precleaning levels 3 months later. Cleaning protocols were unable to completely remove THS, and pollutants in dust were replenished from remaining pollutant reservoirs or new secondhand smoke intrusion. To achieve better outcomes, cleaning protocols should be systematically repeated to remove newly accumulated pollutants. New secondhand smoke intrusions need to be prevented, and remaining THS reservoirs should be identified, cleaned, or removed to prevent pollutants from these reservoirs to accumulate in dust and on surfaces.

Differential associations of hand nicotine and urinary cotinine with children's exposure to tobacco smoke and clinical outcomes.

BACKGROUND: Children's overall tobacco smoke exposure (TSE) consists of both inhalation of secondhand smoke (SHS) and ingestion, dermal uptake, and inhalation of thirdhand smoke (THS) residue from dust and surfaces in their environments. OBJECTIVES: Our objective was to compare the different roles of urinary cotinine as a biomarker of recent overall TSE and hand nicotine as a marker of children's contact with nicotine pollution in their environments. We explored the differential associations of these markers with sociodemographics, parental smoking, child TSE, and clinical diagnoses. METHODS: Data were collected from 276 pediatric emergency department patients (Median age = 4.0 years) who lived with a cigarette smoker. Children's hand nicotine and urinary cotinine levels were determined using LC-MS/MS. Parents reported tobacco use and child TSE. Medical records were reviewed to assess discharge diagnoses. RESULTS: All children had detectable hand nicotine (GeoM = 89.7ng/wipe; 95 % CI = [78.9; 102.0]) and detectable urinary cotinine (GeoM = 10.4 ng/ml; 95%CI = [8.5; 12.6]). Although hand nicotine and urinary cotinine were highly correlated (r = 0.62, p < 0.001), urinary cotinine geometric means differed between racial groups and were higher for children with lower family income (p < 0.05), unlike hand nicotine. Independent of urinary cotinine, age, race, and ethnicity, children with higher hand nicotine levels were at increased risk to have discharge diagnoses of viral/other infectious illness (aOR = 7.49; 95%CI = [2.06; 27.24], p = 0.002), pulmonary illness (aOR = 6.56; 95%CI = [1.76; 24.43], p = 0.005), and bacterial infection (aOR = 5.45; 95%CI = [1.50; 19.85], p = 0.03). In contrast, urinary cotinine levels showed no associations with diagnosis independent of child hand nicotine levels and demographics. DISCUSSION: The distinct associations of hand nicotine and urinary cotinine suggest the two markers reflect different exposure profiles that contribute differentially to pediatric illness. Because THS in a child's environment directly contributes to hand nicotine, additional studies of children of smokers and nonsmokers are warranted to determine the role of hand nicotine as a marker of THS exposure and its potential role in the development of tobacco-related pediatric illnesses.

Exposure to Tobacco Smoke and Temperament among U.S. Children 0-5 Years Old.

OBJECTIVES: This study examined the association between tobacco smoke exposure (TSE) and temperament among children 0-5 years old overall and within age groups: 0-2 and 3-5 years. METHODS: Data were obtained from the 2017-2018 NSCH (N = 14,345). TSE status was defined as whether children lived with a smoker who: does not smoke inside the home (no home TSE) or smokes inside the home (home TSE). We conducted logistic regression analyses while controlling for covariates. RESULTS: Overall, 12.5% of children lived with a smoker with no home TSE and 1.1% had home TSE. Children with home TSE were at increased odds to not always: be affectionate and tender (aOR = 1.74, 95% CI = 1.18-2.58), show interest and curiosity (aOR = 1.81, 95% CI = 1.23-2.68), and smile and laugh (aOR = 1.77, 95% CI = 1.13-2.77) than those with no TSE. Among 0- to 2-year-olds, those with home TSE were more likely to not always be affectionate and tender (aOR = 1.97, 95% CI = 1.04-3.74). Among 3- to 5-year-olds, those who lived with a smoker with no home TSE were more likely to not always: bounce back quickly (aOR = 1.21, 95% CI = 1.05-1.40) and smile and laugh (aOR = 1.26, 95% CI = 1.03-1.54), and those with home TSE were more likely to not always: show interest and curiosity (aOR = 2.24, 95% CI = 1.40-3.59) and smile and laugh (aOR = 2.43, 95% CI = 1.43-4.11). CONCLUSIONS: Tobacco smoke-exposed children were at increased odds of not always demonstrating positive early childhood temperament behaviors, with 3- to 5-year-olds having more pronounced odds.

Child tobacco smoke exposure and healthcare resource utilization patterns.

BACKGROUND: The objective was to examine the relationship between healthcare resource utilization patterns in tobacco smoke-exposed children (TSE group) compared with unexposed children (non-TSE group). METHODS: We matched 380 children in the TSE group with 1140 children in the non-TSE group based on child age, sex, race, and ethnicity using propensity scores. Healthcare resource utilization variables included respiratory-related procedures, diagnostic testing, disposition, and medications. Logistic and linear regression models were built. RESULTS: Child mean age was 4.9 (SD = 0.1) years, 50.5% were female, 55.5% black, and 73.2% had public insurance/self-pay. Compared to the non-TSE group, the TSE group was at increased odds to have the following performed/obtained: nasal bulb suctioning, infectious diagnostic tests, laboratory tests, and radiologic tests. The TSE group was more likely to be admitted to the hospital, and more likely to receive steroids and intravenous fluids during their visit. Among asthmatics, the TSE group was more likely to receive steroids, albuterol, or ipratropium alone, or a combination of all three medications during their visit, and be prescribed albuterol alone or steroids and albuterol. CONCLUSION: Tobacco smoke-exposed children are more likely to have higher resource utilization patterns, highlighting the importance of screening and providing TSE prevention and remediation interventions. IMPACT: Tobacco smoke exposure may affect the healthcare resource utilization patterns of children. Evidence is lacking concerning these associations among the highly vulnerable pediatric emergency department patient population. This study examined the association between tobacco smoke exposure and healthcare resource utilization patterns among pediatric emergency department patients. Tobacco smoke exposure increased the risk of pediatric patients having respiratory-related procedures, respiratory-related and non-respiratory-related testing, medications administered during the pediatric emergency department visit, and medications prescribed for home administration. Tobacco smoke-exposed patients were more likely to be admitted to the hospital compared to unexposed patients.

Predicting 3-month risk for adolescent suicide attempts among pediatric emergency department patients.

BACKGROUND: The incidence of adolescent suicide is rising in the United States, yet we have limited information regarding short-term prediction of suicide attempts. Our aim was to identify predictors of suicide attempts within 3-months of an emergency department (ED) visit. METHODS: Adolescents, ages 12-17, seeking health care at 13 pediatric EDs (Pediatric Emergency Care Applied Research Network) and one Indian Health Service Hospital in the United States were consecutively recruited. Among 10,664 approached patients, 6,448 (60%) were enrolled and completed a suicide risk survey. A subset of participants (n = 2,897) was assigned to a 3-month telephone follow-up, and 2,104 participants completed this follow-up (73% retention). Our primary outcome was a suicide attempt between the ED visit and 3-month follow-up. RESULTS: One hundred four adolescents (4.9%) made a suicide attempt between enrollment and 3-month follow-up. A large number of baseline predictors of suicide attempt were identified in bivariate analyses. The final multivariable model for the full sample included the presence of suicidal ideation during the past week, lifetime severity of suicidal ideation, lifetime history of suicidal behavior, and school connectedness. For the subgroup of adolescents who did not report recent suicidal ideation at baseline, the final model included only lifetime severity of suicidal ideation and social connectedness. Among males, the final model included only lifetime severity of suicidal ideation and past week suicidal ideation. For females, the final model included past week suicidal ideation, lifetime severity of suicidal ideation, number of past-year nonsuicidal self-injury (NSSI) incidents, and social connectedness. CONCLUSIONS: Results indicate that the key risk factors for adolescent suicide attempts differ for subgroups of adolescents defined by sex and whether or not they report recent suicidal thoughts. Results also point to the importance of school and social connectedness as protective factors against suicide attempts.

Tobacco smoke exposure disparities persist in U.S. children: NHANES 1999-2014.

Tobacco smoke exposure (TSE) is a common modifiable hazard to children. The objective was to investigate how the prevalence of TSE varied from 1999 to 2014 among U.S. children and to calculate differences between sociodemographic characteristics and TSE by two-year increases. We also assessed associations between sociodemographics and TSE in 2013-2014. A secondary analysis of data from the National Health and Nutrition Examination Survey 1999-2014 was performed including 14,199 children 3-11 years old from nationwide. We conducted logistic regression analyses to assess TSE trends, and associations between sociodemographics and TSE in 2013-2014. TSE prevalence declined from 64.5% to 38.1% during 1999-2014 (a relative reduction of 44.4%). TSE declined among all sociodemographics. In 2013-2014, differences in TSE were found by race/ethnicity, family monthly poverty level [FPL], and house status. Non-Hispanic black children were 1.85 times more likely (95%CI[1.39-2.47]) to be exposed to tobacco smoke than non-Hispanic white children, whereas Non-Hispanic other (OR = 0.71, 95%CI[0.52-0.96]), Hispanic other (OR = 0.42, 95%CI[0.30-0.59]), and Hispanic Mexican (OR = 0.27, 95%CI[0.21-0.35]) children were at lower risk of exposure. Compared to those in the highest FPL category (>185%), children with FPL ≤130% were 3.37 times more likely (95%CI[2.73-4.15]) and children with FPL 131-185% were 1.80 times more likely (95%CI[1.31-2.49]) to be exposed. Children who lived in rented homes were 2.23 times more likely (95%CI[1.85-2.69]) to be exposed than children who lived in owned homes. Targeted tobacco control efforts are needed to reduce existing TSE disparities among children, especially those who are non-Hispanic black, low socioeconomic status, and live in rented homes.

Association of secondhand smoke exposure with asthma symptoms, medication use, and healthcare utilization among asthmatic adolescents.

OBJECTIVE: To investigate the association between secondhand smoke exposure (SHSe) and asthma symptoms, medication use, and emergency department (ED)/urgent care (UC) utilization among adolescents. METHODS: We performed a secondary cross-sectional analysis of Population Assessment of Tobacco and Health Study Wave 2 (2014-2015) including asthmatic adolescents (N = 2198). Logistic regression models and Poisson regression models were built. RESULTS: Participants with SHSe ≥1 hour in the past 7 days were at increased risk of reporting shortness of breath and harder to exercise aOR, 1.22; 95% CI, 1.04-1.43), wheezing (aOR, 1.26; 95% CI, 1.01-1.56), wheezing disturbing sleep (aOR, 1.88; 95% CI, 1.35-2.63), wheezing during/after exercise (aOR, 1.41; 95% CI, 1.19-1.66), wheezing limiting speech (aOR, 2.11; 95% CI, 1.55-2.86), dry cough at night (aOR, 1.86; 95% CI, 1.54-2.24), and asthma symptoms disturbing sleep (aOR, 2.25; 95% CI, 1.81-2.79). Participants with SHSe ≥1 hour were more likely to take asthma medications (aOR, 1.25; 95% CI, 1.03-1.52), including steroids (aOR, 1.86; 95% CI, 1.19-2.91), oxygen therapy (aOR, 2.88; 95% CI, 1.82-4.54), and controlling medications (aOR, 1.50; 95% CI, 1.24-1.82). Symptoms and medications varied by living with a smoker and home SHSe. Participants with SHSe were at increased risk of having a higher number of asthma attacks that required steroid use. Participants who lived with a smoker and had home SHSe were at increased risk of having higher ED/UC visits for asthma. CONCLUSIONS: SHSe reduction efforts are needed for asthmatic adolescents, and EDs/UCs are promising venues.