Airborne Nicotine, Secondhand Smoke, and Precursors to Adolescent Smoking

Assessing parental awareness and concerns about children's tobacco smoke exposure: a community-based analysis

BACKGROUND

Information regarding children's exposure to tobacco smoke, posing significant risks, is usually reliant on parental reports. We aimed to adopt the scale of parental perception of children's tobacco smoke exposure (PPE) into Turkish, and investigate its correlation with sociodemographic factors.

METHODS

The language and cultural adaptation of the original scale was carried out according to the international guidelines. The participants consisted of 250 females and 250 males living in Samsun province who are over the age of 18, have children younger than 18 years old, without any visual impairment or communication barrier. The survey forms were administered through face-to-face interviews between November 2022 and April 2023.

RESULTS

Mean age of the parents was 36.7 ± 6.9 years. A total of 179 (35.5%) parents were current smokers, and 44% of the households had at least one parent who reported smoking indoors. The mean score of PPE scale was 4.9 ± 1.2. Female sex, parents with higher education, with healthcare profession and with no history of smoking had better awareness about children exposure to smoke. A positive correlation was found between educational level and PPE scale score (r = 0.13; p = 0.004). Parents not allowing smoking indoors or in the car, and those not bringing children to restaurants where smoking was allowed, had higher PPE scores.

CONCLUSIONS

There is a need for multidisciplinary and community-based interventions, with more effective enforcement and monitoring of smoking bans in enclosed spaces and children's play areas.

Rural Indonesian adolescents' smoking behaviours during the COVID-19 pandemic: rapid survey and cotinine test of school-attend adolescents in Gunung Kidul, Yogyakarta

The COVID-19 pandemic is predicted to affect adolescent smoking behaviours. We aim to map profiles of adolescents' smoking behaviours in a rural district in Indonesia during the COVID-19 pandemic and validate their smoking exposures using cotinine tests. This study applied an online survey followed by cotinine tests for high-school students in Gunung Kidul, Yogyakarta. The participants were asked to complete the survey and participate in a cotinine test. Univariate and multivariate regressions were performed to seek potential determinants of the smoking status and diagnostic accuracy of the cotinine test. A total of 281 participants completed the survey, with 19.6% (n = 55) and 22.8% (n = 64) being ever-smokers and current smokers. The impacts of the pandemics on their smoking behaviours were found in the urgency and numbers of daily smoked cigarettes. Univariate regression analysis revealed age, gender, learning mode, and whether father/friend smokes correlate with the adolescents' smoking behaviours. Multivariate regression analysis revealed that the odds of planning to stop smoking were 0.01 (95% CI 0.001-0.22, p-value 0.003) for having positive attitudes towards cigarettes compared to none. Of the 65 cotinine tests, 19 tested positive, with the sensitivity and specificity of the cotinine test at 94.7% and 95.6%. The prevalence of adolescent smoking during the COVID-19 pandemic in Gunung Kidul is high, with the impacts of the pandemic on the urgency and number of cigarette smoke. There are opportunities to help them stop smoking by providing reliable quit-tobacco access and advocacy in collaboration with schools, parents, and health providers.

Predicting Young Adult Tobacco, Drug and Alcohol Use Among Participants in the CAMP Trial

The development of substance abuse in youth with asthma have seldom been examined with longitudinal research. The prospective and well-characterized CAMP cohort provides outcome data on youth with asthma over 13 years. This manuscript seeks to determine the contributions of asthma features and child behavioral/emotional functioning to subsequent tobacco, alcohol, and drug use in early adulthood. Childhood smoking exposures as well as parent report and youth report of substance use were prospectively assessed concurrently with assessments of asthma symptoms, study medication, and lung development. Logistic regression models evaluated predictors of adolescent and young adult tobacco, alcohol, and drug use. Use of tobacco products was reported by 33% of youth with mild/moderate asthma. Tobacco use was significantly associated with self-reported externalizing behaviors. Early life passive smoke exposure, especially in utero exposure, makes a significant contribution to tobacco use (OR1.58). Greater risk for tobacco use is conveyed by self-reported externalizing behaviors, which are consistently robust predictors of any future use of tobacco products, alcohol and drugs. These findings provide evidence for health care providers to use routine behavioral screening in youth with asthma.

Factors associated with secondhand smoke exposure among non-smoking employees in the workplace: A cross-sectional study in Qingdao, China

OBJECTIVE

This study was conducted to describe secondhand smoke (SHS) exposure among non-smoking employees in the workplace, and identify factors related to SHS exposure in Qingdao.

METHODS

The study participants covered key non-smoking places stipulated in the "Qingdao City Smoking Control Regulations," which included three categories: restaurants, bars, and office buildings. Airborne nicotine concentration in the workplace and saliva cotinine concentration of employees were measured. The questionnaire included employees' demographic factors, smoke-free measures in the workplace, employers' tobacco hazard knowledge, and attitudes towards smoke-free policy.

RESULTS

A total of 222 non-smoking employees and 46 non-smoking employers were included in the study. The median concentrations of airborne nicotine and salivary cotinine were 0.389 μg/m3 and 0.575 ng/mL, respectively. Educational status, average number of workplace smokers per day, exposure time to SHS in the workplace, and whether smoking and non-smoking areas were divided significantly related to airborne nicotine concentration. Age, educational status, exposure time to SHS in the workplace, tobacco control training and publicity, and whether the employers support the "Qingdao Tobacco Control Regulation" were significantly related to salivary cotinine concentration.

CONCLUSIONS

Despite the implementation of the "Qingdao Smoking Control Regulations" in 2013, the workplace remains an important location for SHS exposure. Interventions such as raising workers' awareness of the risks associated with SHS exposure through health education and developing smoking prevention and cessation programs to reduce SHS exposure in the workplace are urgently needed.

Determinants of smokeless tobacco use and prevalence among Sudanese adolescents

BACKGROUND

Smokeless tobacco is a part of social and cultural life in Sudan. The affordability and availability of this kind of tobacco make it a fundamental issue in adolescents. The aim of this study is to investigate the extent of the use of smokeless tobacco in adolescents and its determinants.

METHODS

A school-based cross-sectional study was conducted in Khartoum state in Sudan. The study targeted male and female adolescents in secondary schools. A total of 3387 students from public and private schools participated in the study. Multistage random sampling was used to select the participants. The Arabic version questionnaire from the Global Youth Tobacco Survey (GYTS) was utilised to collect the data from the participants.

RESULTS

Among the participants, 57.3% were females and 42.7% were males. Students from private and public schools were 48.4 and 51.6%, respectively. The overall prevalence of those who had ever used smokeless tobacco was 7.6%, in which the prevalence among male students was 11.0% while among females was 5.0%. The determinant factors were male gender (OR 1.53 CI 95% 1.03-2.28), family structure (OR 1.52 CI 95% 1.03-2.23), exposure to second-hand smoke at home (OR 1.60 CI 95% 1.11-2.31), friends smoking cigarettes (OR 1.78 CI 95% 1.22-2.60), lack of restriction of selling tobacco to minors (OR 1.73 CI 95% 1.25-2.39), promotion of smokeless tobacco (OR 2.12 CI 95% 1.20-3.72) and low self-efficacy (OR 7.47 CI 95% 4.45-12.52).

CONCLUSION

A comprehensive prevention programme that enforces the prohibition of the promotion of smokeless tobacco and the selling of smokeless tobacco to minors is crucial. Moreover, the prevention programme should enhance adolescents' self-efficacy.

How secondhand smoke exposure affects tobacco use and smoking susceptibility of adolescents: Sex and school differences

INTRODUCTION

Secondhand smoke (SHS) exposure affects tobacco related health behaviors during adolescence and persists into adulthood. This study aimed to investigate the influence of SHS exposure on tobacco use among adolescents stratified by school and gender, and provide recommendations for controlling tobacco use in youth.

METHODS

Through stratified random cluster sampling, 12278 selected students (aged 13-18 years) from schools in China were administered questionnaires. Multiple logistic regression was used to analyze whether SHS exposure would increase the smoking risk and susceptibility of adolescents.

RESULTS

The prevalence of SHS exposure among the participating students was 74.8%. Adolescents exposed to SHS were at higher odds of being susceptible and currently smoking. Students with SHS exposure at both home and public places accounted for 36.6%, greatly increasing the current smoking risk and smoking susceptibility. Home SHS exposure had greater impact on the current tobacco use of boys (OR=2.13; 95% CI: 1.50-3.03) and junior school students (OR=4.67; 95% CI: 2.41-9.06). Exposure from public places increased the risk of current smoking in boys (OR=4.20; 95% CI: 2.31-7.65) and smoking susceptibility of vocational school students (OR=1.51; 95% CI: 1.07-2.15). Students with highlevel exposure to SHS had 2.25 times higher odds of e-cigarette use.

CONCLUSIONS

The prevalence of SHS exposure is still high among adolescents in China and is associated with increased risk for tobacco use regardless of gender and school level. Effective smoke-free strategies should be developed and strictly implemented. Boys and junior school students constitute vulnerable populations exposed to SHS at home.

Non-linear dose-response relation between urinary levels of nicotine and its metabolites and cognitive impairment among an elderly population in China

BACKGROUND

Active smoking and exposure to environmental tobacco smoke may be related to cognitive function decline. We assessed the associations of urinary levels of nicotine and its metabolites with cognitive function.

METHODS

A total of 553 elder adults at high risk of cognitive impairment and 2212 gender- and age-matched individuals at low risk of cognitive impairment were selected at a ratio of 1: 4 from the remained individuals (n = 6771) who completed the baseline survey of the Shenzhen Ageing-Related Disorder Cohort, after excluding those with either Alzheimer's disease, Parkinson's syndrome or stroke as well as those with missing data on variables (including active and passive smoking status, Mini-Cog score). Urinary levels of nicotine and its metabolites and cognitive function for all individuals were measured by high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) and assessed using the Mini-Cog test, respectively. Associations of urinary levels of nicotine and its metabolites with cognitive function were analyzed by conditional logistic regression models.

RESULTS

Individuals in the highest tertile of urinary OHCotGluc (OR: 1.52, 95%CI: 1.19-1.93) or NNO (OR: 1.50, 95%CI: 1.16-1.93) levels as well as in the second tertile of urinary ∑Nic level (OR: 1.43, 95%CI: 1.13-1.82) were at higher risk of cognitive impairment compared with those in the corresponding lowest tertile. Restricted cubic spline models revealed the non-linear dose-response relationships between urinary levels of OHCotGluc, NNO or ∑Nic and the risk of cognitive impairment.

CONCLUSIONS

Urinary levels of OHCotGluc, NNO or ∑Nic exhibited a non-linear dose-response relationship with cognitive function in the urban elderly.

Ebselen prevents cigarette smoke-induced gastrointestinal dysfunction in mice

Gastrointestinal (GI) dysfunction is a common comorbidity of chronic obstructive pulmonary disease (COPD) for which a major cause is cigarette smoking (CS). The underlying mechanisms and precise effects of CS on gut contractility, however, are not fully characterised. Therefore, the aim of the present study was to investigate whether CS impacts GI function and structure in a mouse model of CS-induced COPD. We also aimed to investigate GI function in the presence of ebselen, an antioxidant that has shown beneficial effects on lung inflammation resulting from CS exposure. Mice were exposed to CS for 2 or 6 months. GI structure was analysed by histology and immunofluorescence. After 2 months of CS exposure, ex vivo gut motility was analysed using video-imaging techniques to examine changes in colonic migrating motor complexes (CMMCs). CS decreased colon length in mice. Mice exposed to CS for 2 months had a higher frequency of CMMCs and a reduced resting colonic diameter but no change in enteric neuron numbers. Ten days cessation after 2 months CS reversed CMMC frequency changes but not the reduced colonic diameter phenotype. Ebselen treatment reversed the CS-induced reduction in colonic diameter. After 6 months CS, the number of myenteric nitric-oxide producing neurons was significantly reduced. This is the first evidence of colonic dysmotility in a mouse model of CS-induced COPD. Dysmotility after 2 months CS is not due to altered neuron numbers; however, prolonged CS-exposure significantly reduced enteric neuron numbers in mice. Further research is needed to assess potential therapeutic applications of ebselen in GI dysfunction in COPD.

Trends in Prevalence of Cigarette Smoking in Brazil: 2006-2019

Objectives. To analyze trends in cigarette smoking among Brazilian adults from 2006 to 2019.Methods. We performed a time-series analysis based on data from the Surveillance of Risk and Protective Factors for Chronic Diseases Telephone Survey (n = 730 309). We calculated the annual prevalence of current cigarette smokers, heavy smokers, and passive smokers in the workplace and investigated linear trends using Prais-Winsten regression, for the entire period and for the past 5 years. We performed the analyses for the total population and according to the sociodemographic characteristics.Results. The prevalence of cigarette smoking, heavy smoking, and passive smoking in the workplace declined, respectively, an average of 3.99% per year, 5.65% per year, and 6.55% per year from 2006 to 2019. We observed this reduction regardless of gender, age, educational level, and geographic region. The magnitude of reduction in the prevalence of current cigarette smoking decreased in the past 5 years, while the magnitude of the change in heavy smoking increased.Conclusions. The prevalence of cigarette smoking decreased in the time period studied. The smaller magnitude of reduction for current cigarette smoking in the most recent years might indicate a fatigue with the current policy scenario.

Associations Between Secondhand Smoke and Mental Health in Korean Adolescents

This study assessed secondhand smoke exposure among nonsmokers and examined its association with mental health in Korean adolescents. We used the 14th Korea Youth Risk Behavior Survey in 2018 to extract data and analyzed 60 040 adolescents through three secondhand smoke exposure categories: home, school, and public places. Mental health included stress, insufficient sleep, depressive symptoms, and suicidal ideation. Secondhand smoke exposure was reported at 23.0% for home, 20.0% for school, and 51.4% for public places. Secondhand smoke exposures were associated with stress insufficient sleep, depressive symptoms, and suicidal ideation. Furthermore, in the stratified analysis, secondhand smoke exposure was related to poor mental health in both nonsmokers and smokers. Based on the results, we concluded that Korean adolescents may experience poor mental health symptoms from being exposed to secondhand smoke.

Determinants of Youth-Reported Past 30-Day Tobacco Use

The objective of this study was to utilize cross-sectional surveys to identify factors associated with past 30-day tobacco use among a sample youth and to determine whether regional differences exist. Data were obtained from the Virginia Youth Survey (2015 and 2017). Multinomial logistic regression models were used to examine associations between measures of past 30-day tobacco use and region, sex, grade, race/ethnicity, tobacco advertisement exposure, and presence of tobacco-free policies in the home and personal vehicles. These correlates were selected based upon existing literature on youth tobacco use. Past 30-day cigarette use, combustible tobacco use, non-combustible tobacco use, and dual product use were associated with region, sex, grade, and race/ethnicity. Specifically, youth residing in the Southwestern region of the state, males, and non-Hispanic White students and youth of other race/ethnicity were more likely to report past 30-day tobacco use. Additionally, higher levels of exposure to tobacco advertisements was also associated with past 30-day tobacco use. Future research needs to investigate the mechanisms by which youth tobacco use may differ by region, to help guide and target future policy and programming related to tobacco prevention and control at the local level.

Passive Smoking Exposure and Perceived Health Status in Children Seeking Pediatric Care Services at a Vietnamese Tertiary Hospital

Understanding the predictors of health conditions and exposure to secondhand smoke among children is necessary to determine the severity of the issues and identify effective solutions. Despite the significant prevalence in smoking and child exposure to secondhand smoke, there have been only a few studies focusing on this area in Vietnam, and thus the current study aims to fill in this gap. The questionnaires of 435 children aged between 0 and 6 and their caregivers, who agreed to participate in the research, were collected at the Pediatric Department of Bach Mai hospital, Hanoi, in 2016. Multivariable logistic regression was employed to identify factors associated with perceived health status and exposure to secondhand smoke among children in the last 24 h and the last 7 days from the date of the survey. Our study found that 43% of the respondents had smokers in the family, and 46.4% of children were exposed to passive smoking in the last 7 days. Urban children were most frequently exposed to passive smoking at home and in public, whereas in the rural area, the home and relatives’ houses were the most common places for exposure. Compared to children whose caregivers were farmers, children of non-government workers were more likely to be exposed to passive smoking in the last 7 days. Moreover, children in a family having smoking rules and no smokers were less likely to be exposed to passive smoking in the last 24 h and 7 days than those living in a family allowing smoking and having smokers. In conclusion, our study shows that the government needs to implement better public smoking monitoring and encourage caregivers to implement smoke-free households or smoking rules in their houses.

Secondhand Smoke Exposure and Depressive Symptoms in Children: A Longitudinal Study

INTRODUCTION

We investigated whether secondhand smoke (SHS) exposure is associated with depressive symptoms in a population-based sample of children.

METHODS

Never-smoking students from 29 French-language elementary schools in Greater Montréal, Canada, were followed from 5th to 11th grade (2005-2011) in five waves: 1 (5th grade), 2 (spring 6th grade), 3 (7th grade), 4 (9th grade), and 5 (11th grade). Associations between depressive symptoms and SHS exposure at home and in cars were examined in cross-sectional and longitudinal gamma generalized regression models adjusted for sex, maternal education, and neighborhood socioeconomic status.

RESULTS

The sample comprised 1553 baseline never-smokers (mean [SD] age = 10.7 [0.5] years; 44% male; 89% French-speaking). SHS exposure at home and in cars was associated with higher depressive symptom scores in cross-sectional analyses pooled across grades and adjusted for demographics (B [95% confidence interval (CI)] = 0.041 [0.017 to 0.068] for home exposure; 0.057 [0.030 to 0.084] for car exposure). In longitudinal analyses from fifth to sixth grade, B (95% CI), adjusted for demographics and baseline depressive symptoms, was 0.042 (0.003 to 0.080) for home exposure and 0.061 (0.019 to 0.103) for car exposure. From sixth to seventh grade, B (95% CI) was 0.057 (0.003 to 0.110) for home exposure and 0.074 (0.015 to 0.133) for car exposure. SHS exposure at any age did not predict depressive symptoms 2 years later.

CONCLUSIONS

SHS exposure is associated with depressive symptoms in young persons, both concurrently and 1 year later. This finding adds to the evidence base supporting that children should be protected from SHS exposure.

IMPLICATIONS

SHS exposure has deleterious effects on physical health and results of this study raise concerns that such exposure might also affect the mental health of young persons. Clearly, protecting children from SHS in all locations is a critical public health priority. Although research is needed to determine if the association between SHS exposure and depressive symptoms is causal, continued implementation of smoking bans and educational efforts to discourage smoking in vehicles when children are present are warranted.

Improving Screening and Education for Secondhand Smoke Exposure in Primary Care Settings

: Exposure to secondhand smoke (SHS), also known as environmental tobacco smoke, adversely affects human health across the life cycle and has important economic consequences. The fact that many health care providers don't routinely screen all patients for SHS exposure and educate them on the risks associated with it is exacerbated by the lack of any requirement to do so, as well as the absence of adequate SHS screening questions in many electronic health record (EHR) systems. Further research on improving screening and education interventions is therefore warranted. In this quality improvement initiative, we introduced flag reminders, visual reminders, education, and a monetary incentive for providers, which improved their screening for and education on SHS exposure in the patients in a primary care clinic. The clinicians' behavior change in response to these interventions supports our proposal that an effective screening question with a flag reminder be added to the EHR, and confirms the need for continued research on screenings, EHR efficacy, and clinical behavior change.

Biomarkers of Exposure to Secondhand and Thirdhand Tobacco Smoke: Recent Advances and Future Perspectives

Smoking is the leading preventable disease worldwide and passive smoking is estimated to be the cause of about 1.0% of worldwide mortality. The determination of tobacco smoke biomarkers in human biological matrices is key to assess the health effects related to the exposure to environmental tobacco smoke. The biomonitoring of cotinine, the main nicotine metabolite, in human biofluids-including urine, serum or saliva-has been extensively used to assess this exposure. However, the simultaneous determination of cotinine together with other tobacco biomarkers and the selection of alternative biological matrices, such as hair, skin or exhaled breath, would enable a better characterization of the kind and extent of tobacco exposure. This review aims to perform a critical analysis of the up-to-date literature focused on the simultaneous determination of multiple tobacco smoke biomarkers studied in different biological matrices, due to the exposure to secondhand smoke (SHS) and thirdhand smoke (THS). Target biomarkers included both tobacco-specific biomarkers-nicotine and tobacco specific nitrosamine biomarkers-and tobacco-related biomarkers, such as those from polycyclic aromatic hydrocarbons, volatile organic compounds, metals and carbon monoxide. To conclude, we discuss the suitability of determining multiple biomarkers through several relevant examples of SHS and THS exposure.