Association among friendship skills, involvement in after-school activities, and flourishing for adolescents with asthma and comorbid emotional and behavioral problems

OBJECTIVES

Primary objectives were to examine the relations among abilities for making and keeping friends, involvement in after-school activities, and flourishing for adolescents with current asthma, as well as comorbid behavior problems, anxiety, or depression.

METHODS

Data from the 2021 National Survey of Child Health was analyzed. Parents provided data on one child. Multinomial logistic regression analyses, both unadjusted and adjusted for the sampling weight, were conducted for adolescents with current asthma and comorbid behavior problems, anxiety, or depression. Predictors of flourishing included difficulty in making and keeping friends and involvement in after-school activities. Sex, age, race/ethnic group, and having been bullied were covariates. To examine differences for children with varied comorbid emotional and behavioral problems, relations were tested separately for children with asthma and behavior problems, children with asthma and anxiety, and children with asthma and depression.

RESULTS

Skills for making and keeping friends were positively related to flourishing of adolescents with current asthma for all three types of mental health concerns. The relationship between involvements in after-school activities was less clear-cut, as this predictor was not always positively related to flourishing.

CONCLUSIONS

Abilities to make and keep friends were related to flourishing, indicating that peer support is a resilience factor. Conversely, it was not clear that involvement in after-school activities was a resilience factor and more research about factors constituting successful after-school involvement for adolescents with asthma is needed. Future research, illuminating how social support from peers and involvement in activities promote flourishing will extend knowledge.

Urinary Volatile Organic Compound Metabolites Are Associated with Reduced Lung Function in U.S. Children and Adolescents

(1) Background: Volatile organic compounds (VOCs) are indoor pollutants absorbed by inhalation. The association of several VOCs with lung function in children and adolescents is unknown. (2) Methods: We analyzed 505 participants, 6-17-year-olds from the 2011-2012 National Health and Nutrition Examination Survey. Multiple linear regression models were fitted to estimate the associations of VOC metabolites with spirometry outcomes adjusting for covariates. (3) Results: Urinary metabolites of xylene, acrylamide, acrolein, 1,3-butadiene, cyanide, toluene, 1-bromopropane, acrylonitrile, propylene oxide, styrene, ethylbenzene, and crotonaldehyde were all detected in ≥64.5% of participants. Forced expiratory volume in 1 s (FEV1) % predicted was lower in participants with higher levels of metabolites of acrylamide (β: -7.95, 95% CI: -13.69, -2.21) and styrene (β: -6.33, 95% CI: -11.60, -1.07), whereas the FEV1 to forced vital capacity (FVC) ratio % was lower in children with higher propylene oxide metabolite levels (β: -2.05, 95% CI: -3.49, -0.61). FEV1 % predicted was lower with higher crotonaldehyde metabolite levels only in overweight/obese participants (β: -15.42, 95% CI: -26.76, -4.08) (Pinteraction < 0.001) and with higher 1-bromopropane metabolite levels only in those with serum cotinine > 1 ng/mL (β: -6.26, 95% CI: -9.69, -2.82) (Pinteraction < 0.001). (4) Conclusions: We found novel associations of metabolites for acrylamide, propylene oxide, styrene, 1-bromopropane and crotonaldehyde with lower lung function in children and adolescents.

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.

Pharmacological Prescribing and Satisfaction with Pain Treatment Among Non-Hispanic Black Men with Chronic Pain

Introduction

Pharmacological strategies are often central to chronic pain management; however, pain treatment among non-Hispanic Black men may differ because of their disease profiles and healthcare interactions. However, less is known about pain medication prescribing and patients' satisfaction with pain treatment and management among non-Hispanic Black men with self-reported chronic pain.

Purpose

This study assessed factors associated with non-Hispanic Black men being prescribed/recommended narcotics/opioids for chronic pain and their satisfaction with pain treatment/management.

Methods

Data were analyzed from 286 non-Hispanic Black men with chronic pain who completed an internet-delivered questionnaire. Participants were recruited nationwide using a Qualtrics web-based panel. Logistic regression was used to identify factors associated with being prescribed/recommended narcotics/opioids for pain management treatment. Then, ordinary least squares regression was used to identify factors associated with their satisfaction level with the pain treatment/management received.

Results

On average, participants were 56.2 years old and 48.3% were prescribed/recommended narcotics/opioids for chronic pain. Men with more chronic conditions (Odds Ratio [OR] = 0.57, P = 0.043) and depression/anxiety disorders (OR = 0.53, P = 0.029) were less likely to be prescribed/recommended narcotics/opioids. Men who were more educated (OR = 2.09, P = 0.044), reported more frequent chronic pain (OR = 1.28, P = 0.007), and were allowed to participate more in decisions about their pain treatment/management (OR = 1.11, P = 0.029) were more likely to be prescribed/recommended narcotics/opioids. On average, men with more frequent chronic pain (B = -0.25, P = 0.015) and pain problems (B = -0.16, P = 0.009) were less satisfied with their pain treatment/management. Men who were allowed to participate more in decisions about their pain treatment/management reported higher satisfaction with their pain treatment/management (B = 0.55, P < 0.001).

Conclusion

Playing an active role in pain management can improve non-Hispanic Black men's satisfaction with pain treatment/management. This study illustrates the importance of patient-centered approaches and inclusive patient-provider interactions to improve chronic pain management.

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 (β^ = 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.

Contamination of surfaces in children's homes with nicotine and the potent carcinogenic tobacco-specific nitrosamine NNK

BACKGROUND

Tobacco smoke exposure (TSE) through secondhand and thirdhand smoke is a modifiable risk factor that contributes to childhood morbidity. Limited research has assessed surface TSE pollution in children's environments as a potential source of thirdhand smoke exposure, and none have examined levels of the tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) on surfaces.

OBJECTIVE

This study measured surface NNK and nicotine in children's homes and associations with sociodemographics and parent-reported TSE behaviors. We assessed correlations of surface NNK and nicotine with dust NNK, dust nicotine, and child cotinine.

METHODS

Home surface wipe NNK and nicotine data from 84 children who lived with smokers were analyzed. Tobit and simple linear regression analyses were conducted to assess associations of surface NNK and nicotine with child characteristics. Spearman's (ρ) correlations assessed the strength of associations between environmental markers and child cotinine.

RESULTS

Nearly half (48.8%) of children's home surfaces had detectable NNK and 100% had detectable nicotine. The respective geometric means (GMs) of surface NNK and nicotine loadings were 14.0 ng/m2 and 16.4 µg/m2. Surface NNK positively correlated with surface nicotine (ρ = 0.54, p < 0.001) and dust NNK (ρ = 0.30, p = 0.020). Surface nicotine positively correlated with dust NNK (ρ = 0.42, p < 0.001) and dust nicotine (ρ = 0.24, p = 0.041). Children with household incomes ≤$15,000 had higher surface NNK levels (GM = 18.7 ng/m2, p = 0.017) compared to children with household incomes >$15,000 (GM = 7.1 ng/m2). Children with no home smoking bans had higher surface NNK (GM = 18.1 ng/m2, p = 0.020) and surface nicotine (GM = 17.7 µg/m2, p = 0.019) levels compared to children with smoking bans (GM = 7.5 ng/m2, 4.8 µg/m2, respectively).

IMPACT

Although nicotine on surfaces is an established marker of thirdhand smoke pollution, other thirdhand smoke contaminants have not been measured on surfaces in the homes of children living with smokers. We provide evidence that the potent carcinogenic tobacco-specific nitrosamine NNK was detectable on surfaces in nearly half of children's homes, and nicotine was detectable on all surfaces. Surface NNK was positively correlated with surface nicotine and dust NNK. Detectable surface NNK levels were found in homes with indoor smoking bans, indicating the role of NNK as a persistent thirdhand smoke pollutant accumulating on surfaces as well as in dust.

Adverse Childhood Experiences and Electronic Cigarette Use among U.S. Young Adults

(1) Background: Adverse childhood experiences (ACEs), which are potentially traumatic childhood events, have been associated with increased tobacco product use. Less is known about electronic cigarette (e-cigarette) use during young adulthood. This study explored the associations between ACEs and current e-cigarette use among U.S. young adults. (2) Methods: This study was a secondary analysis of 2021 Behavioral Risk Factor Surveillance System data including 2537 young adults aged 18-24 years. Unadjusted and adjusted logistic regression analyses were conducted. (3) Results: Of the participants, 19.2% currently used e-cigarettes, and 22.1% reported 1 ACE, 13.0% reported 2 ACEs, 10.7% reported 3 ACEs, and 30.6% reported ≥4 ACEs. Unadjusted results indicated that participants who experienced 1 ACE (odds ratio (OR) = 1.76, 95% confidence interval (CI) = 1.01-3.07), 2 ACEs (OR = 2.18, 95%CI = 1.24-3.83), 3 ACEs (OR = 2.63, 95%CI = 1.41-4.90), and ≥4 ACEs (OR = 3.69, 95%CI = 2.23-6.09) were at increased odds of reporting current e-cigarette use than participants who experienced 0 ACEs. Adjusted results indicated that participants who experienced 3 ACEs were at 2.20 times higher odds (95%CI = 1.15-4.23) and participants who experienced ≥4 ACEs were at 2.73 times higher odds (95%CI = 1.58-4.71) of reporting current e-cigarette use than participants who experienced 0 ACEs. (4) Conclusions: Young adults exposed to ACEs are at risk of using e-cigarettes.

Caregiver strain among non-Hispanic Black and Hispanic male caregivers with self-reported chronic health conditions

OBJECTIVES

Caregiver strain often stems from unmet needs and is a risk factor for poor physical and psychological health. This study aims to identify factors associated with caregiver strain among middle-aged and older non-Hispanic Black and Hispanic male caregivers living with one or more chronic conditions.

DESIGN

Data were analyzed from 418 male caregivers collected through Qualtrics Online Panels using an internet-delivered survey instrument (55.7% non-Hispanic Black, 44.3% Hispanic). Three ordinal regression models were fitted to assess factors associated with Caregiver Strain Scale tertiles: one for all men, one for non-Hispanic Black men only; and one for Hispanic men only.

RESULTS

Similarities and differences were observed between the two groups in terms of factors associated with higher caregiver strain (i.e. lower disease self-management efficacy scores, providing ≥20 h of care per week). Uniquely for Non-Hispanic Black male caregivers, higher caregiver strain was associated with living with more children under the age of 18 (β = 0.35, P = 0.011) and feeling more socially disconnected (β = 0.41, P = 0.008). Uniquely for Hispanic male caregivers, higher caregiver strain levels were associated with experiencing lower pain levels (β = -0.14, P = 0.040) and higher fatigue levels (β = 0.23, P < 0.001).

CONCLUSION

Findings from this study suggest that non-Hispanic Black and Hispanic men with chronic conditions have differing caregiving experiences. While bolstering social connectedness and caregiver support services may offset caregiver strain, tailored mental health and disease management programming are needed to meet the specific needs of non-Hispanic Black and Hispanic male caregivers.

Changes and stability of hand nicotine levels in children of smokers: Associations with urinary biomarkers, reported child tobacco smoke exposure, and home smoking bans

BACKGROUND

Exposure to thirdhand smoke (THS) residue takes place through inhalation, ingestion, and dermal transfer. Hand nicotine levels have been proposed to measure THS pollution in the environment of children, but little is known about its variability and stability over time and correlates of change.

OBJECTIVES

The goal was to determine the stability of hand nicotine in comparison to urinary biomarkers and to explore factors that influence changes in hand nicotine.

METHODS

Data were collected from 0 to 11-year-old children (Mean age = 5.9) who lived with ≥1 tobacco smokers (N = 129). At a 6-week interval, we collected repeated measures of hand nicotine, four urinary biomarkers (cotinine, trans-3'-hydroxycotinine, nicotelline N-oxides, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol), and parent-reported child tobacco smoke exposure (TSE). Dependent sample t-tests, correlations, and multivariable regression analyses were conducted to examine the changes in child TSE.

RESULTS

Hand nicotine levels (r = 0.63, p < 0.001) showed similar correlations between repeated measures to urinary biomarkers (r = 0.58-0.71; p < 0.001). Different from urinary biomarkers, mean hand nicotine levels increased over time (t(113) = 3.37, p < 0.001) being significantly higher in children from homes without smoking bans at Time 2 (p = 0.016) compared to Time 1 (p = 0.003). Changes in hand nicotine correlated with changes in cotinine and trans-3'-hydroxycotinine (r = 0.30 and r = 0.19, respectively, p < 0.05). Children with home smoking bans at Time 1 and 2 showed significantly lower hand nicotine levels compared to children without home smoking bans.

DISCUSSION

Findings indicate that hand nicotine levels provide additional insights into children's exposure to tobacco smoke pollutants than reported child TSE and urinary biomarkers. Changes in hand nicotine levels show that consistent home smoking bans in homes of children of smokers can lower THS exposure. Hand nicotine levels may be influenced by the environmental settings in which they are collected.

Personal Agency and Social Supports to Manage Health Among Non-Hispanic Black and Hispanic Men With Diabetes

The prevalence of type 2 diabetes (T2D) is increasing among non-Hispanic Black and Hispanic communities, especially among men who develop this chronic condition at earlier ages. Personal agency and social support are vital aspects to diabetes management. However, less is known about the relationship between these variables among men living with diabetes. The purposes of this study were to identify (1) levels of personal agency to manage health, (2) sources of social supports to manage health based on personal agency levels, and (3) factors associated with lower personal agency to manage health. Cross-sectional data from non-Hispanic Black (n = 381) and Hispanic (n = 292) men aged 40 years or older with T2D were collected using an internet-delivered questionnaire. Three binary logistic regression models were fitted to assess sociodemographics, health indicators, and support sources associated with weaker personal agency to manage health. About 68% of participants reported having the strongest personal agency relative to 32.1% reporting weaker personal agency. Men who relied more on their spouse/partner (odds ratio [OR] = 1.22, p = .025), coworkers (OR = 1.59, p = .008), or faith-based organizations (OR = 1.29, p = .029) for ongoing help/support to improve their health and manage health problems were more likely to have weaker personal agency. Conversely, men who relied more on their health care providers for ongoing help/support to improve their health and manage health problems were less likely to have weaker personal agency to manage health (OR = 0.74, p < .001). Findings suggest personal agency may influence men's support needs to manage T2D, which may also be influenced by cultural, socioeconomics, and the composition of social networks.

Tobacco Smoke Exposure and Gastrointestinal Problems Among US Children

This study examined the association between home tobacco smoke exposure (TSE) status and gastrointestinal problems in the past 12 months among US children. We conducted a secondary analysis of the 2018-2019 National Survey of Children's Health cross-sectional data including 20 149 children aged 4 to 10 years. Weighted logistic regression models unadjusted and adjusted for child and family covariates were fitted. Overall, 12.3% of children had home thirdhand smoke (THS) exposure only and 1.8% had home secondhand smoke (SHS) and THS exposure. Unadjusted (odds ratio [OR] = 1.70, 95% confidence interval [CI] = 1.32-2.20) and adjusted (adjusted odds ratio [AOR] = 1.51, 95% CI = 1.14-1.99) logistic regression results indicated that relative to children with no home TSE, children with home THS exposure only were at increased odds of having frequent or chronic difficulty with gastrointestinal problems over the past 12 months. Interventions are critically needed to promote smoking cessation among household members who live with children in order to reduce levels of SHS and THS in their homes.

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.

Effectiveness of chronic disease self-management education (CDSME) programs to reduce loneliness

OBJECTIVES

With about half of older adults reporting feelings of loneliness, interventions are needed to improve connectedness among our aging population. The health benefits of Chronic Disease Self-Management Education (CDSME) programs are well documented, but workshops' ability to reduce loneliness remains unknown.

METHODS

Using the Campaign to End Loneliness Measurement Tool, we examined 295 CDSME participants' loneliness changes before and after the 6-week face-to-face workshops. Statistical analyzes used generalized estimating equations (GEE).

RESULTS

On average, participants were age 74.3(±8.9) years and self-reported 3.3(±2.2) chronic conditions. The majority of participants were female (83%) and attended workshops in English (77%). Significant reductions in loneliness scores were observed from baseline to post-workshop (p < 0.001).

DISCUSSION

Findings expand our understanding about the benefits of small-group CDSME workshops to reduce loneliness among participants. CDSME workshops may reduce loneliness because of their highly interactive and process-driven format and ability to create bonds between participants with chronic conditions and shared experiences.

Association of self-reported use of cannabis for the purpose of improving physical, mental, and sleep health with problematic cannabis use risk

BACKGROUND

Little is known about health-focused cannabis use purposes and their associations with risk for problematic cannabis use. This cross-sectional study examined three broad cannabis use purposes and association with risk for problematic use among young adult cannabis users who report using for > 1 health reasons.

METHODS

Young adults completed an electronic survey as part of an ongoing study on substance use and health. Those who self-reported past 6-month use of ≥ 1 cannabis products-smoking, vaping, dabbing, eating, and blunts-were included in the analysis. Their purposes for use were coded into three categories: sleep, mental, and physical health. Problematic cannabis use (PCU) was measured with the three-level structure Cannabis Abuse Screening Test (CAST-3). Adjusted multivariable regression models were used to estimate use purposes associated with with problematic cannabis use at the p < 0.05 level.

RESULTS

Participants (n = 954) were mostly female (63.94%) and Hispanic (54.93%). Mental health was the most endorsed reason (73.38%) for use among study sample. Among participants, 36.3% were classified as being at severe risk (CAST-3 score ≥ 8). There was a significant association between PCU risk and reporting cannabis use for physical health (p < 0.01), mental health, and sleep health (p < 0.01) purposes. Those who used cannabis for physical heath purposes had about four times the risk (adjusted relative risk ratio (aRRR) = 4.38, 95% CI = 3.06-6.69), those who used for mental health had about three times the risk (aRRR = 2.81, 95% CI = 1.86-4.72), and those who used for sleep health had almost two times the risk (aRRR = 1.83, 95% CI = 1.17-2.63) for severe PCU.

CONCLUSION

All cannabis use purposes examined increased risk of problematic cannabis use. Physical health use purposes was associated with highest PCU risk. This study demonstrates the risk for cannabis use disorder associated with self-medicating with cannabis.

"I Don't Want My Child to Be a Guinea Pig": Reasons for Non-Participation in a Parental Tobacco Cessation Trial in the Pediatric Emergency Department Setting

(1) Background: Pediatric emergency department (PED) settings are opportune venues in which to recruit parental smokers into tobacco cessation interventions. However, the barriers associated with parents' participation in PED-based cessation trials are unknown. The objective was to explore parents' reasons for non-participation in a PED-based tobacco cessation trial. (2) Methods: We employed the framework method and conducted a qualitative data analysis of parental smokers who were eligible to participate in a PED-based tobacco cessation trial and did not choose to participate (n = 371). (3) Results: Two main themes emerged about reasons for non-participation: (a) Not interested in participating in a research study, and (b) concerns specific to the study. Parents had various reasons for not participating in the cessation trial including not being interested in quitting, parents' health and well-being, parents' beliefs about research, and time required for the study and follow-up visits. (4) Conclusion: General disinterest and specific study-related concerns were touted as reasons for non-participation in a PED-based tobacco cessation trial. Given the potential reductions in tobacco-related morbidity to both parents and children that tobacco control interventions can facilitate, future tobacco interventions should consider alterations in study design and recruitment strategies to encourage all eligible parental smokers to participate.

Effectiveness of the Program to Encourage Active, Rewarding Lives (PEARLS) to reduce depression: a multi-state evaluation

Introduction

An estimated 15% of community-dwelling older adults have depressive symptoms in the U.S. The Program to Encourage Active, Rewarding Lives (PEARLS) is an evidence-based program for managing late-life depression. PEARLS is a home/community-based collaborative care model delivered by community-based organizations to improve access to quality depression care. Trained staff actively screen for depression to improve recognition, teach problem-solving and activity planning skills for self-management, and connect participants to other supports and services as needed.

Methods

This study examined 2015-2021 data from 1,155 PEARLS participants across four states to assess PEARLS effectiveness to reduce depressive symptoms. The clinical outcomes were measured by the self-reported PHQ-9 instrument to assess changes in depressive symptoms scored as depression-related severity, clinical remission, and clinical response. A generalized estimating equation (GEE) model was fitted to examine changes in composite PHQ-9 scores from baseline to the final session. The model adjusted for participants' age, gender, race/ethnicity, education level, income level, marital status, number of chronic conditions, and number of PEARLS sessions attended. Cox proportional hazards regression models were conducted to estimate the hazard ratio for improvement of depressive symptoms (i.e., remission or response), while adjusting for the covariates.

Results

PHQ-9 scale scores significantly improved from baseline to their final sessions (mean difference = -5.67, SEM = 0.16, p < 0.001). About 35% of participants achieved remission with PHQ-9 score < 5. Compared to participants with mild depression, patients with moderate depression (HR = 0.43, 95%CI = 0.35-0.55), moderately severe depression (HR = 0.28, 95%CI = 0.21-0.38), and severe depression (HR = 0.22 95%CI = 0.14-0.34) were less likely to experience clinical remission with PHQ-9 score < 5, while adjusting for the covariates. About 73% achieved remission based on no longer having one or both cardinal symptoms. Compared to participants with mild depression, patients with moderate depression (HR = 0.66, 95%CI = 0.56-0.78), moderately severe depression (HR = 0.46, 95%CI = 0.38-0.56), and severe depression (HR = 0.38, 95%CI = 0.29-0.51) were less likely to experience clinical remission, while adjusting for the covariates. Nearly 49% of participants had a clinical response or a ≥ 50% decrease in PHQ-9 scores over time. There were no differences between the severity of depression groups based on the time to clinical response.

Discussion

Findings confirm that PEARLS is an effective program to improve depressive symptoms among older adults in diverse real-world community settings and can be a more accessible option for depressive older adults who are traditionally underserved by clinical care.

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.

Associations of household tobacco smoking status with childhood temperament among U.S. preschool-aged children

BACKGROUND

This study investigated the association between household tobacco smoking status and temperament among U.S. 3-5-year-olds.

METHODS

A secondary analysis of 2019-2020 National Survey of Children's Health data (N = 11,100) was conducted. Temperament dimensions of effortful control (characterized by attention focusing), negative affectivity (characterized by anger and soothability), and surgency (characterized by activity level and shyness) were assessed. Weighted ordinal regression models were conducted while adjusting for child and family covariates.

RESULTS

Approximately 13 % of children lived with smokers. Compared to children who did not live with smokers, children living with smokers displayed behaviors of poorer effortful control and were more likely to be easily distracted (AOR = 1.59, 95%CI = 1.24-2.04) and less likely to keep working on tasks until finished (AOR = 0.56, 95%CI = 0.44-0.71). Children living with smokers displayed behaviors of greater negative affectivity and were at increased odds of being angry or anxious when transitioning between activities (AOR = 1.50, 95%CI = 1.13-1.98) and losing their temper when things did not go their way (AOR = 1.53, 95%CI = 1.20-1.96), and were at decreased odds of calming down quickly when excited (AOR = 0.54, 95%CI = 0.42-0.70). Children living with smokers displayed behaviors of poorer surgency and were less likely to play well with others (AOR = 0.58, 95%CI = 0.45-0.76) and sit still compared to same-aged children (AOR = 0.56, 95%CI = 0.44-0.71).

LIMITATIONS

The NSCH uses a cross-sectional survey design; longitudinal associations and objective measures could not be assessed. However, the NSCH is nationally representative and results are generalizable to U.S. 3-5-year-olds.

CONCLUSIONS

Findings suggest household tobacco smoking influences temperament in early childhood. Results signify the need to promote household tobacco cessation.

The Associations of Trans-3'-Hydroxy Cotinine, Cotinine, and the Nicotine Metabolite Ratio in Pediatric Patients with Tobacco Smoke Exposure

(1) Background: Trans-3'-hydroxy cotinine (3HC) and cotinine (COT) are tobacco smoke exposure (TSE) biomarkers and the 3HC/COT ratio is a marker of CYP2A6 activity, an enzyme which metabolizes nicotine. The primary objective was to assess the associations of these TSE biomarkers with sociodemographics and TSE patterns in children who lived with ≥1 smoker. (2) Methods: A convenience sample of 288 children (mean age (SD) = 6.42 (4.8) years) was recruited. Multiple linear regression models were built to assess associations of sociodemographics and TSE patterns with urinary biomarker response variables: (1) 3HC, (2) COT, (3) 3HC+COT sum, and (4) 3HC/COT ratio. (3) Results: All children had detectable 3HC (Geometric Mean [GeoM] = 32.03 ng/mL, 95%CI = 26.97, 38.04) and COT (GeoM = 10.24 ng/mL, 95%CI = 8.82, 11.89). Children with higher cumulative TSE had higher 3HC and COT (β^ = 0.03, 95%CI = 0.01, 0.06, p = 0.015 and β^ = 0.03, 95%CI = 0.01, 0.05, p = 0.013, respectively). Highest 3HC+COT sum levels were in children who were Black (β^ = 0.60, 95%CI = 0.04, 1.17, p = 0.039) and who had higher cumulative TSE (β^ = 0.03, 95%CI = 0.01, 0.06, p = 0.015). Lowest 3HC/COT ratios were in children who were Black (β^ = -0.42, 95%CI = -0.78, -0.07, p = 0.021) and female (β^ = -0.32, 95%CI = -0.62, -0.01, p = 0.044). (4) Conclusion: Results indicate that there are racial and age-related differences in TSE, most likely due to slower nicotine metabolism in non-Hispanic Black children and in younger children.

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 (β = 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 (β = 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 (β = 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.

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.

Stealth vaping and associated attitudes, perceptions, and control beliefs among US college students across four tobacco-free campuses

OBJECTIVES

Stealth vaping gained popularity among college students in recent years. It may undermine the benefits introduced by tobacco-free policies. Yet, no studies have investigated attitude and belief factors associated with stealth vaping. The objective of the study was to explore the relationship between attitudes toward on-campus tobacco regulations, normative perceptions of stealth vaping behaviors, and control beliefs with on-campus stealth vaping among U.S. college students.

METHODS

Participants from four large, public universities with policies prohibiting use of all forms of tobacco (including e-cigarettes) on campus (N = 863) completed an online survey in Fall 2020. On-campus stealth vaping behavior was captured by past 30-day stealth vaping status and frequency. Hurdle models with logistic and negative binomial regressions were conducted, where stealth vaping status was treated as a binary variable based on the non-zero and zero frequency, and stealth vaping frequency was treated as a count variable. Multiple imputation by chained equations was employed to handle the missing data.

RESULTS

Participants with more positive attitudes toward regulating on-campus tobacco use were less likely to practice stealth vaping on campus (OR = 1.16, p < 0.01 [predicting zero]). Those with higher perceptions of stealth vaping among other students were more likely to stealth vape more frequently (IRR = 1.03, p < 0.01).

CONCLUSION

Our results highlight the need for interventions to address students' attitudes and normative beliefs about stealth vaping. Efforts are needed to educate college students about the risk of e-cigarettes and to enhance enforcement of campus tobacco-free policies.

E-Cigarette and Cannabis Use Patterns, Depression, and Suicide Behaviors Among US Youth: Analysis of 2019 Youth Risk Behavior Survey Data

PURPOSE

To examine the associations of current electronic cigarette and cannabis use patterns with depression symptoms and suicidal ideation and behavior overall and stratified by sex among U.S. high school students.

DESIGN

Quantitative, cross-sectional study.

SETTING

The 2019 National Youth Risk Behavior Survey.

SUBJECTS

12,401 high school students in 9th-12th grade.

MEASURES

Dependent variables were depression symptoms, suicidal ideation, suicide plan, suicide attempt, and suicide attempt-related injury. Independent variables were past 30 day e-cigarette and cannabis use patterns. Covariates included demographics, grade level, and other tobacco product use.

ANALYSIS

Multivariable logistic regression models.

RESULTS

Approximately 15.7% of students were exclusive e-cigarette users, 4.5% were exclusive cannabis users, and 16.4% were concurrent e-cigarette and cannabis users. Exclusive e-cigarette and cannabis users, and concurrent users were at increased odds (P < .05) of having depression symptoms, seriously considered attempting suicide, planning suicide, suicide attempt, and having suicide attempt-related injury compared to non-users. Female users, especially concurrent users, had higher odds of reporting depression symptoms (P < .01) and all suicidal ideation and behavior outcomes (P < .01) than female non-users, but results varied for male students.

CONCLUSION

E-cigarette and cannabis use patterns significantly predicted depression symptomatology and suicidal ideation and behavior, with female students having higher odds. Results suggest the need for tailored interventions to address mental health and suicidality among U.S. adolescents, and especially female students.

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.

Outliers in nutrient intake data for U.S. adults: national health and nutrition examination survey 2017-2018

Objectives

An important step in preparing data for statistical analysis is outlier detection and removal, yet no gold standard exists in current literature. The objective of this study is to identify the ideal decision test using the National Health and Nutrition Examination Survey (NHANES) 2017-2018 dietary data.

Methods

We conducted a secondary analysis of NHANES 24-h dietary recalls, considering the survey's multi-stage cluster design. Six outlier detection and removal strategies were assessed by evaluating the decision tests' impact on the Pearson's correlation coefficient among macronutrients. Furthermore, we assessed changes in the effect size estimates based on pre-defined sample sizes. The data were collected as part of the 2017-2018 24-h dietary recall among adult participants (N=4,893).

Results

Effect estimate changes for macronutrients varied from 6.5 % for protein to 39.3 % for alcohol across all decision tests. The largest proportion of outliers removed was 4.0 % in the large sample size, for the decision test, >2 standard deviations from the mean. The smallest sample size, particularly for alcohol analysis, was most affected by the six decision tests when compared to no decision test.

Conclusions

This study, the first to use 2017-2018 NHANES dietary data for outlier evaluation, emphasizes the importance of selecting an appropriate decision test considering factors such as statistical power, sample size, normality assumptions, the proportion of data removed, effect estimate changes, and the consistency of estimates across sample sizes. We recommend the use of non-parametric tests for non-normally distributed variables of interest.

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.

Urinary volatile organic compound metabolites and reduced lung function in U.S. adults

BACKGROUND

Volatile organic compounds (VOCs) are associated with adverse respiratory outcomes at high occupational exposures. However, whether exposure levels found in the general population have similar effects is unknown.

METHODS

We analyzed data on 1342 adult participants in the 2011-2012 National Health and Nutrition Examination Survey aged ≥18 years old who had urinary VOC metabolites and spirometry measurements available. Linear regression models adjusting for covariates were fitted to estimate the associations of VOC exposures levels and spirometry outcomes, while accounting for survey design and sampling weights to generate nationally representative estimates.

RESULTS

The urinary metabolites for xylene, acrylamide, acrolein, 1,3-butadiene, cyanide, toluene, 1-bromopropane, acrylonitrile, propylene oxide, styrene, ethylbenzene, and crotonaldehyde in our analysis were all detected in >75% of participants. Forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio % was lower with urinary metabolites of acrylamide (β: -2.65, 95% CI: -4.32, -0.98), acrylonitrile (β: -1.02, 95% CI: -2.01, -0.03), and styrene (β: -3.13, 95% CI: -5.35, -0.90). FEV1% predicted was lower with the urinary metabolites of acrolein (β: -7.77, 95% CI: -13.29, -2.25), acrylonitrile (β: -2.05, 95% CI: -3.77, -0.34), propylene oxide (β: -2.90, 95% CI: -5.50, -0.32), and styrene (β: -4.41, 95% CI: -6.97, -1.85).

CONCLUSIONS

This is the first study of a representative sample of the U.S. adult population to reveal associations of acrylonitrile, propylene oxide, and styrene urinary metabolites with reduced lung function at non-occupational exposures. Results also support previous evidence of acrylamide and acrolein's association with adverse respiratory outcomes.

Hand nicotine as an independent marker of thirdhand smoke pollution in children's environments

BACKGROUND

Hand nicotine (HN) levels measure children's exposure to tobacco smoke pollutants from thirdhand and secondhand smoke. HN is associated with urinary and salivary cotinine, but the associations of HN with other tobacco smoke exposure (TSE) markers remain unknown.

OBJECTIVES

We compared levels of HN and four urinary TSE biomarkers: cotinine, trans-3'-hydroxycotinine (3HC), nicotelline N-oxides, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), and children's sociodemographic and TSE patterns. We also examined if HN is a plausible pathway for children's exposure to active smoking.

METHODS

Data were collected from 175 non-smoking patients (Mean (SD) age = 5.4 (3.4) years) who lived with ≥1 cigarette smoker(s). HN and TSE biomarker levels were determined using LC-MS/MS. Multivariate and multivariable regression analyses were conducted to examine associations between TSE markers and parent-reported measures, controlling for sociodemographics.

RESULTS

Of the five markers of TSE, cotinine (R² = 0.221; p = 0.003) and HN (R² = 0.247; p = 0.001) showed the strongest overall associations. Of the five markers, only cotinine showed significantly higher levels among Black children (β^=0.307,p<0.05) independent of age, reported exposure, and home smoking bans. Cotinine (β^=0.010,p<0.05), NNAL (β^=0.012,p<0.05), and HN (β^=0.011,p<0.05) showed significant positive associations with reported exposure independent of race, age, and home smoking bans. NNAL (β^=-0.285,p<0.05) and HN (β^=-0.336,p<0.05), but not cotinine, 3HC, and N-oxides, showed significantly lower levels among children who lived in homes with smoking bans. Child age, hand surface area, home smoking ban, and reported exposure independently accounted for 21 % of the variance in HN levels (p = 0.002). HN accounted for 30 % of the variance in cotinine independent of child race and child age.

DISCUSSION

HN levels were associated with modifiable tobacco-related behaviors and shows promise as a marker of sources of THS pollution in a child's environment not captured by measurement of urinary cotinine alone. HN levels provide additional information about TSE, complementing other biomarkers when assessing children's overall TSE.

E-cigarette-inclusive smoke-free policies, excise taxes, tobacco 21 and changes in youth e-cigarette use: 2017-2019

BACKGROUND

We examined whether the implementation of electronic cigarette (e-cigarette) policies at the state level (e-cigarette-inclusive smoke-free (ESF) policies, excise taxes on e-cigarettes and raising tobacco legal purchasing age to 21 years (T21)) affected recent upward trends in youth e-cigarette use.

METHODS

Data were from participants from 34 US states who completed the Youth Risk Behavior Survey (YRBS) state surveys in 2017 and 2019 (n=278 271). States were classified as having or not having ESF policies, any e-cigarette excise tax and T21 policies by 1 January 2019. Participants reported ever, past 30-day and frequent (≥20 days) e-cigarette use; past 30-day combustible cigarette smoking; and age, sex and race/ethnicity. Weighted multivariable logistic regression models assessed whether changes in e-cigarette use over time differed by policy status, adjusting for participants' demographics and combustible cigarette smoking.

RESULTS

Prevalence of ever and past 30-day youth e-cigarette use in states with ESF policies decreased during 2017-2019, while the prevalence of these measures in states without ESF policies increased. States with T21 policies showed non-significant changes in prevalence of ever and past 30-day youth e-cigarette use, whereas states without T21 policies showed significant increases in ever and past 30-day youth e-cigarette use. States with ESF and T21 policies showed slower increases in youth frequent e-cigarette use. E-cigarette excise taxes were not associated with decreasing prevalence of youth e-cigarette use.

CONCLUSIONS

State-level ESF and T21 policies could be effective for limiting growth of youth e-cigarette use despite an overall national increase. Higher e-cigarette excise tax rates may be needed to effectively reduce youth e-cigarette use.

Child Tobacco Smoke Exposure, Indoor Home Characteristics, and Housing Stability among a National Sample of U.S. Children

(1) Objectives: To examine the associations of child tobacco smoke exposure (TSE) with home quality and housing instability. (2) Methods. A secondary analysis of 32,066 U.S. 0-11-year-old children from the 2018-2019 National Survey of Children's Health was conducted. Child home TSE status was defined as: no TSE: child lived with no smokers; thirdhand smoke (THS) exposure only: child lived with a smoker(s) who did not smoke indoors; and secondhand smoke (SHS) and THS exposure: child lived with a smoker(s) who smoked indoors. Home quality was assessed by the presence of mold or pesticide use and housing instability was assessed by home ownership, frequency of moves, and number of household members. We conducted weighted multivariable logistic regression and linear regression models while adjusting for important child covariates. (3) Results: In total, 12.3% had home THS exposure only and 1.6% had home SHS and THS exposure. Compared to children with no home TSE, children with home SHS and THS exposure were 2.60 times more likely (95%CI = 1.73, 3.92) to have mold inside their homes; 1.57 times more likely (95%CI = 1.09, 2.26) to live in homes where pesticides were used ≥1 time during the past 12-months; and more likely to have more frequent moves (β = 1.06, 95%CI = 0.62, 1.50). (4) Conclusions: Children with home TSE have higher rates of mold, pesticide use, frequent moves, and household members compared to children with no home TSE. Children with TSE should also be screened for home quality and housing instability and provided with appropriate interventions and resources.

Current anxiety problems and organized activity participation among U.S. adolescents

The study objectives were to examine the relationships between healthcare provider-confirmed current anxiety problems and organized activity participation including sports, clubs/organizations, and other activities. We used data from the 2018-2019 National Survey of Children's Health including 24,356 adolescents 12-17 years old. Poisson and logistic regression analyses were conducted. About 13% of adolescents had current anxiety problems. Poisson regression results indicated that adolescents with anxiety problems were less likely to participate in a higher total number of organized activities compared to children without anxiety problems. Similarly, logistic regression results indicated that adolescents with anxiety problems were at reduced odds of participating in at least one organized activity compared to adolescents without anxiety problems. Specific to activity type, adolescents with anxiety problems were at reduced odds of participating in sports and clubs/organizations. Study findings should be considered when creating and implementing community health promotion and education prevention programs and interventions for adolescents.

Examination of Current Anxiety Problems with School Engagement and Volunteer and Paid Work among U.S. Adolescents

This study examined the relationships between current anxiety problems and school engagement, community service or volunteer work, and paid work among U.S. adolescents. The 2018-2019 National Survey of Children's Health (NSCH) dataset was analyzed and included 24,609 adolescents ages 12-17 years. We conducted unadjusted and adjusted logistic regression analyzes. A total of 12.6% of adolescents had healthcare provider-confirmed current anxiety problems. Adolescents with current anxiety were at decreased odds of engaging in school (aOR = 0.35, 95%CI = 0.29, 0.41) and participating in community service or volunteer work (aOR = 0.72, 95%CI = 0.59, 0.86) compared to adolescents without current anxiety. Adolescents with current anxiety were at increased odds of participating in paid work (OR = 1.18, 95%CI = 1.01, 1.38). This study reports that U.S. adolescents with anxiety were less likely to engage in school and participate in community service or volunteer work, but were more likely to participate in paid work compared to their peers without anxiety. Results should inform future interventions targeting adolescents.

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

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.

Predictors of family resilience, emotional, behavioral, and developmental concerns and emergency room visits for children with asthma

INTRODUCTION

The current study fills a gap in the literature by examining relations among physical health and resilience factors, family functioning, emergency visits, and mental health problems for youth with asthma. The study purpose was to assess associations among four predictors-asthma severity, body mass index (BMI), having an adult mentor, and ability to make and keep friends-and 3 three outcomes-family resilience, emotional, behavioral and developmental concerns, and emergency room (ER) visits among youth with asthma.

METHOD

The sample included 2,589 youth with asthma between 10 and 17 years old from the 2017-2018 National Survey of Children's Health. Multivariable logistic regressions examined associations between asthma severity, BMI, having an adult mentor, ability to make and keep friends and two outcomes: family resilience, and emotional behavioral and developmental concerns. A multinomial logistic regression examined the relationship between predictor variables and number of ER visits.

RESULTS

Findings indicated having a mentor, being able to make/keep friends, and being underweight, average, or overweight compared to being obese were related to having family resilience. Making/keeping friends was a protective factor for emotional behavioral and developmental concerns. Having a mentor was related to higher levels of emotional behavioral and developmental concerns than not having a mentor. Youth who had mentors and friendship skills were less likely to have ER visits than youth with no mentors and difficulty with friendships. Youth with mild asthma severity and who were not obese had lower levels of ER visits than those with moderate/severe asthma or obesity.

DISCUSSION

Child level protective factors were related to higher levels of family resilience and fewer ER visits for children with asthma. Further research to identify risk and protective factors is needed to develop interventions for youth with asthma. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Home Tobacco Smoke Exposure and Neighborhood Support and Safety among U.S. School-aged Children

Children who are socioeconomically disadvantaged face a myriad of environmental hardships in the neighborhoods in which they live. This study examined the associations between home tobacco smoke exposure (TSE) and neighborhood support, neighborhood safety, and school safety among U.S. school-aged children. Children ages 6-11 years were included in this secondary analysis of 2018-2019 National Survey of Children's Health data (N = 17,300). Children's home TSE status was categorized into three levels: (1) no TSE: Child did not live with a smoker; (2) Outside TSE only: Child lived with a smoker who did not smoke inside the home; and (3) Inside TSE: Child lived with a smoker who smoked inside the home. Parent-reported measures of perceived neighborhood support, and neighborhood and school safety were examined; covariates included the child's age, sex, and race/ethnicity; the parent's education; the family's household structure, and federal poverty level. Weighted logistic and ordinal regression models were built adjusting for the covariates. In total, 13.2% of children had outside TSE and 1.7% of children had inside TSE. Multivariable logistic regression model results indicated that children with outside TSE were at decreased odds (AOR = 0.79, 95%CI = 0.65-0.96) of living in a supportive neighborhood compared to children with no TSE. Ordinal regression model results indicated that children with outside TSE (AOR = 0.77, 95%CI = 0.61-0.97) and children with inside TSE were at decreased odds (AOR = 0.62, 95%CI = 0.39-0.99) of going to a school that was perceived as safe. Community-level programs, policies, and funding are needed to improve neighborhood characteristics among children with TSE to improve their future health outcomes.

Concurrent use of e-cigarettes and cannabis and associated COVID-19 symptoms, testing, and diagnosis among student e-cigarette users at four U.S. Universities

Introduction

This investigation assessed whether current (past 30-day) electronic cigarette (e-cigarette) and cannabis use was associated with coronavirus disease 2019 (COVID-19) symptomatology, testing, and diagnosis among college student e-cigarette users.

Methods

Participants were 18–26-year-old college student e-cigarette users attending four geographically diverse, large U.S. public universities during October-December 2020 (N = 800). Multivariable logistic regression models explored associations between exclusive e-cigarette use and concurrent e-cigarette and cannabis use and COVID-19 symptoms, testing, and diagnosis. Models controlled for demographics, university site, and current use of combustible cigarettes, cigars, and smokeless tobacco.

Results

Over half of student e-cigarette users (52.0%) concurrently used cannabis. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 3.53 times more likely (95%CI = 1.96–6.36) to report COVID-19 symptoms, after adjusting for the covariates. Compared to infrequent exclusive e-cigarette users, infrequent concurrent users (AOR = 4.72, 95%CI = 1.31–17.00), intermediate concurrent users (AOR = 5.10, 95%CI = 1.37–18.97), and frequent concurrent users (AOR = 7.44, 95%CI = 2.06–26.84) were at increased odds of reporting COVID-19 symptoms. Compared to exclusive e-cigarette users, concurrent e-cigarette and cannabis users were 1.85 times more likely (95%CI = 1.15–2.98) to report a COVID-19 diagnosis. Intermediate concurrent users (AOR = 2.88, 95%CI = 1.13–7.35) and frequent concurrent users (AOR = 3.22, 95%CI = 1.32–7.87) were at increased odds of reporting a COVID-19 diagnosis, compared to infrequent exclusive e-cigarette users.

Conclusions

Concurrent use of e-cigarettes and cannabis may be an underlying risk factor of COVID-19 symptomatology and diagnosis, with more pronounced odds found among intermediate and frequent users. Results highlight the need to educate students about the impacts of e-cigarette and cannabis use on respiratory, immune, and overall health.

Stealth Vaping Among College Students on Four Geographically Distinct Tobacco-Free College Campuses: Prevalence and Practices

INTRODUCTION

To offset tobacco use among college students, many universities have implemented tobacco-free campus policies. Given how easily e-cigarette users can discreetly vape in places where it is prohibited without being detected (ie, stealth vape), it is important to assess whether students are subverting these policies. This study examined the prevalence of stealth vaping on-campus among students at multiple universities, including frequency and methods for stealth vaping.

AIMS AND METHODS

A convenience sample of college students was obtained from four geographically distinct, large, public universities with established policies prohibiting all forms of tobacco use on campus. Participants (N = 863 current e-cigarette users) reported on demographics and e-cigarette use. Those who previously stealth vaped on-campus (n = 422) completed additional questions, including common locations, techniques, and devices/e-liquids used for stealth vaping.

RESULTS

Nearly half (48.9%) of past 30-day e-cigarette users reported previously stealth vaping on-campus. Among stealth vapers, 48.1% owned a smaller device for stealth vaping and 38.9% used e-liquids with low visibility vapors. Common on-campus stealth vaping locations included bathrooms, libraries, parking garages, and classrooms. Techniques used for stealth vaping included deep inhale, blowing a hit into one's clothes, and swallowing a hit.

CONCLUSIONS

A large percentage of respondents commonly violated campus tobacco-free policies by stealth vaping. For such policies to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

IMPLICATIONS

This sample of college student e-cigarette users commonly violated campus smoke- and tobacco-free policies by stealth vaping on campus. Respondents used a range of methods (eg, smaller device and low visibility e-liquids) and locations (eg, bathrooms, libraries, and parking garages) for stealth vaping. If campus policies are to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. E-cigarette devices specifically designed and marketed to facilitate stealth vaping (eg, resembling USB flash drives and pens) may require regulatory action. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

Prevalence and Income-Related Disparities in Thirdhand Smoke Exposure to Children

This cross-sectional study examines the prevalence of and income-related disparities associated with exposure to thirdhand smoke among children.

Barriers to implementation of pediatric emergency department interventions for parental tobacco use and dependence: a qualitative study using the theoretical domains framework

Background

Pediatric emergency department (PED) and urgent care (UC) professionals can play a key role in delivering evidence-based guidelines to address parental tobacco use and child tobacco smoke exposure (TSE). Understanding PED/UC professionals’ perceptions regarding these guidelines is the first step in developing and implementing a TSE screening and counseling intervention in these settings. This study aimed to use the theoretical domains framework (TDF) to identify current screening and counseling behaviors of PED/UC professionals related to parental tobacco use and child TSE, and determine barriers and enablers that influence these behaviors.

Methods

Semi-structured, focused interviews were conducted with 29 actively practicing PED/UC clinical staff who worked at one large, Midwestern children’s hospital. The interview guide was informed by the TDF and included open-ended questions. Content analysis of interview transcripts was guided by the TDF. Nurses, physicians, and healthcare administrators were assessed overall and by group membership to ensure each group was represented based on their varying PED/UC roles.

Results

Fifty-one percent were nurses, 38% were physicians, and 11% were healthcare administrators. Most PED/UC professionals did not currently follow the guidelines, but perceived addressing parental tobacco use as part of their role. All 14 TDF domains were identified by nurses, physicians, and administrators in relation to counseling for parental tobacco use and child TSE. Domains with the most sub-themes were (1) knowledge: lack of knowledge about tobacco counseling, including implementing counseling, cessation resources/referrals, and thirdhand smoke; (2) beliefs about capabilities: not comfortable counseling parents, easier to discuss with parents who are receptive and to ask and advise when patients have a TSE-related complaint, and more likely to discuss if there were resources/referrals; and (3) environmental context and resources: barriers include lack of time, training, and resources and referral information to give to parents, and an enabler is using TSE-related complaints as a context to offer counseling.

Conclusions

Study findings provide a strong foundation for developing and implementing clinical practice guidelines regarding parental tobacco use and child TSE in the PED/UC setting. Future intervention development will address all TDF domains and test the implementation of the intervention in the PED/UC setting.

Clinical decision support for tobacco screening and counseling parents of pediatric patients: A qualitative analysis of pediatric emergency department and urgent care professionals

Background

Clinical Decision Support Systems (CDSS) embedded into electronic medical records is a best practices approach. However, information is needed on how to incorporate a CDSS to facilitate parental tobacco cessation counseling and reduce child tobacco smoke exposure (TSE) in Pediatric Emergency Department (PED) and Urgent Care (UC) settings. The objective was to explore the barriers and enablers of CDSS use to facilitate child TSE screening and parental tobacco cessation counseling by PED/UC nurses and physicians.

Methods

We conducted 29 semi-structured, focused interviews with nurses (n = 17) and physicians (n = 12) at a children's hospital PED/UC. The interview guide included a brief presentation about the design and components of a prior CDSS tobacco intervention. Participants were asked their opinions about CDSS components and recommendations for adapting and implementing the CDSS tobacco intervention in the PED/UC setting. A thematic framework analysis method was used to code and analyze qualitative data.

Results

Participant mean (± SD) age was 42 (± 10.1) years; the majority were female (82.8%), non-Hispanic white (93.1%), and never tobacco users (86.2%); all were never electronic cigarette users. Four themes emerged: (1) explore optimal timing to complete CDSS screening and counseling during visits; (2) CDSS additional information and feedback needs; (3) perceived enablers to CDSS use, such as the systematic approach; and (4) perceived barriers to CDSS use, such as lack of time and staff.

Conclusions

The CDSS intervention for child TSE screening and parental tobacco cessation during PED/UC visits received endorsements and suggestions for optimal implementation from nurses and physicians.

Assessment of Exclusive, Dual, and Polytobacco E-Cigarette Use and COVID-19 Outcomes Among College Students

Purpose

This study examined current (past 30-day) dual- and polytobacco use patterns and COVID-19 symptomatology, testing, and diagnosis status among college student electronic cigarette (e-cigarette) users.

Design

Cross-sectional online questionnaire administered during October–December 2020.

Setting

Four large, U.S. public universities in geographically diverse locations.

Sample

College students (N=756) ages 18–24 who reported current e-cigarette use.

Measures

Current use of e-cigarettes, combustible cigarettes, and cigars, and self-reported COVID-19 symptomatology, testing, and diagnosis status were measured.

Analysis

Multivariable logistic regression models accounting for students’ demographics, university site, fraternity/sorority membership, and current residence.

Results

Over half (53.6%) of students were exclusive e-cigarette users, 20.4% were dual e-cigarette and combustible cigarette users, 4.6% were dual e-cigarette and cigar users, and 21.4% were poly users of e-cigarettes, combustible cigarettes, and cigars. Compared to exclusive e-cigarette users, dual users of e-cigarettes and combustible cigarettes (AOR=2.12, 95%CI=1.05–4.27) and poly users of e-cigarettes, combustible cigarettes, and cigars (AOR=3.70, 95%CI=1.78–7.70) had increased odds of COVID-19 symptomatology, even when accounting for covariates. While current tobacco use groups did not differ based on COVID-19 testing, polytobacco users had significantly increased odds (AOR=2.16, 95%CI=1.11–4.20) of having received a positive COVID-19 diagnosis.

Conclusion

Given use of two or more tobacco products increased COVID-19-related risks, results underscore the need to prevent dual- and polytobacco use behaviors in college student e-cigarette users.

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.

Comparison of Levels of Three Tobacco Smoke Exposure Biomarkers in Children of Smokers

Objectives: Cotinine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), and N-oxides are biomarkers of tobacco smoke exposure (TSE) used to assess short- and longer-term TSE. The objective of this study was to assess the associations between these TSE biomarkers, sociodemographics, parental smoking, and child TSE patterns among 0–17-year-olds. Methods: A convenience sample of 179 pediatric patients (mean (SD) age = 7.9 (4.3) years) who lived with ≥1 smoker and who had parental assessments completed and urine samples analyzed for the three TSE biomarkers of interest were included. Biomarker levels were log-transformed, univariate regression models were built and Pearson correlations were assessed. Results: In total, 100% of children had detectable levels of cotinine and >96% had detectable NNAL and N-oxide levels. The geometric means of cotinine, NNAL, and N-oxide levels were 10.1 ng/mL, 25.3 pg/mL, and 22.9 pg/mL, respectively. The mean (SD) number of daily cigarettes smoked by parents was 10.6 (6.0) cigarettes. Child age negatively correlated with urinary cotinine (r = −0.202, p = 0.007) and log NNAL levels (r = −0.275, p < 0.001). The highest log-cotinine levels were in children who were younger, of African American race, and whose parents had a lower education, an annual income ≤USD15,000, and no smoking bans. The highest log-NNAL and N-oxide levels were in children whose parents had a lower education, had no smoking bans, and were around higher numbers of cigarettes. Conclusion: Children of smokers who were younger, African American, and had no smoking bans had the highest TSE biomarker levels. Targeted interventions are needed to reduce TSE levels among high-risk children.

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.

Tobacco smoke exposure and inadequate sleep among U.S. school-aged children

OBJECTIVE/BACKGROUND

Inadequate sleep and tobacco smoke exposure (TSE) have been separately linked to adverse childhood health consequences. Our objective was to assess the association between home TSE status and inadequate sleep among U.S. school-aged children.

METHODS

We analyzed 2018-2019 National Survey of Children's Health data, and included 17,851 children ages 6-11 years. Children were classified into three parent-report TSE groups: (1) did not live with a smoker (no TSE at home); (2) lived with a smoker who did not smoke inside the home (thirdhand smoke (THS) exposure only); and (3) lived with a smoker who smoked inside the home (secondhand smoke (SHS) and THS exposure). Parent-report of inadequate sleep on most weeknights was defined as <9 h, following age-specific national guidelines. We fitted a weighted multivariable logistic model to assess the association between TSE groups and inadequate sleep, adjusting for child covariates (sociodemographics, overweight status, health status, physical activity, and screen time).

RESULTS

About 13% and 1% of school-aged children were exposed to home THS only and home SHS and THS, respectively; approximately 36% overall had inadequate sleep. Compared to children with no TSE at home, children who were exposed to home THS only had higher odds of inadequate sleep (AOR = 1.44, 95%CI = 1.20-1.73); those exposed to home SHS and THS had higher odds of inadequate sleep (AOR = 1.83, 95%CI = 1.20-2.78).

CONCLUSIONS

TSE is associated with school-aged children having inadequate sleep, even when smokers did not smoke inside the home. Promoting parental smoking cessation is essential to fully protect children from related risks.