Tobacco smoking, exposure to second-hand smoke, and asthma and wheezing in schoolchildren: a cross-sectional study

Assessment of exposure to secondhand tobacco smoke in Spain: A scoping review

INTRODUCTION

There is no consensus on the questions that should be included in questionnaires to properly ascertain exposure to secondhand tobacco smoke (SHS). The objective of this study is to analyze the questions included in studies which have assessed SHS exposure in Spain.

METHODS

A scoping review was performed, using PubMed, Embase and Web of Science databases, selecting original articles published in English and Spanish, across the period 2012-2021. We extracted data from each study regarding its design, target population, sample size or geographical scope; we also collected data regarding how studies dealt with exposure to SHS including assessment and intensity of SHS, exposure setting, geographical scope, and the verbatim questions used.

RESULTS

Finally, 75 studies were identified. In the 23 studies carried out in children, verbatim questions were included in 8 studies, and the setting most studied was the home. SHS exposure was assessed during pregnancy and postnatally by 8 studies, the verbatim questions used were described in 2 studies, being exposure ascertained at home and workplace. In the adult population, 14 of 44 studies described the verbatim questions; the setting most studied was the home. Verbatim questions varied among studies.

CONCLUSIONS

Questionnaire-based assessment of SHS exposure is highly heterogeneous, hindering comparability between studies. Therefore, it is necessary to set a standard questionnaire to assess exposure to SHS.

Maternal smoking status before and during pregnancy and bronchial asthma at 3 years of age: a prospective cohort study

The association between maternal pre-pregnancy smoking status and asthma risk is unclear. This study aimed to investigate the association between pre- and post-pregnancy maternal smoking status and bronchial asthma at 3 years of age in a large birth cohort. Data of 75,411 mother-child pairs from the Japan Environment and Children's Study (JECS) were analysed using multivariate logistic regression analysis. Overall, 7.2% of the children had bronchial asthma. The maternal smoking status before childbirth was as follows: Never = 60.0%, Quit before recognising current pregnancy = 24.1%, Quit after finding out about current pregnancy = 12.3%, and Still smoking = 3.6%. Children of mothers who sustained smoking during pregnancy had an increased risk of bronchial asthma at 3 years of age even after adjusting for pre- and postnatal covariates (adjusted odds ratio [aOR] 1.34, 95% confidence interval [CI] 1.15-1.56). Children of mothers who quit before (aOR 1.09, 95% CI 1.02-1.18) or after (aOR 1.11, 95% CI 1.01-1.23) recognising the current pregnancy had an increased risk of bronchial asthma at 3 years of age. Maternal smoking throughout pregnancy and smoking exposure pre-pregnancy or in early pregnancy increases the risk of bronchial asthma in children.

Status and correlates of children's exposure to secondhand smoke at home: A survey in Chongqing, China

INTRODUCTION

The home is the primary source of children's exposure to secondhand smoke. This study investigated the status and influencing factors of child exposure to secondhand smoke at home when people smoke in the household.

METHODS

Participants with at least one child living in their household from 10 communities in Chongqing were recruited and provided a self-administered questionnaire using a multistage proportional random sampling design from June to August 2021. The chi-squared test and binary logistic regression analyses were used to identify influencing factors.

RESULTS

The questionnaire completed by 1345 families showed that 631 (46.9%) families lived with smokers in their household, and 509 (80.7%) of those families reported that smoking occurred within the home while the children were present. Binary logistic regression analyses demonstrated that the time between waking up and household smokers having the first cigarette of the day (OR=0.44; 95% CI: 0.22-0.85), changes to smoking habits and behaviors within the last six months (OR=1.76; 95% CI: 1.06-2.90), attitudes towards tobacco control in the household (OR=2.91; 95% CI: 1.72-4.92), self-efficacy in maintaining a smoke-free home (OR=2.27; 95% CI: 1.36-3.79), having rules to maintain a smoke-free home (OR=3.25; 95% CI: 1.68-6.29), and the status of providing cigarettes to guests at home (OR=11.0; 95% CI: 1.33-90.8) were associated with exposure to SHS.

CONCLUSIONS

Education focusing on the impact of smoking on children's health should be encouraged. Smoke-free homes should be established, and smoking restrictions in the household should be enacted. Therefore, information about the available tobacco-control services should be given to family members and be used properly. It is an effective way to decrease the risk of at-home exposure to SHS for children, to overcome any obstacles in tobacco control.

Identifying the Best Questions for Rapid Screening of Secondhand Smoke Exposure Among Children

INTRODUCTION

Many children suffer from secondhand smoke exposure (SHSe), which leads to a variety of negative health consequences. However, there is no consensus on how clinicians can best query parents for possible SHSe among children. We employed a data-driven approach to create an efficient screening tool for clinicians to quickly and correctly identify children at risk for SHSe.

METHODS

Survey data from mothers and biospecimens from children were ascertained from the Neurodevelopment and Improving Children's Health following Environmental Tobacco Smoke Exposure (NICHES) study. Included were mothers and their children whose saliva were assayed for cotinine (n = 351 pairs, mean child age = 5.6 years). Elastic net regression predicting SHSe, as indicated from cotinine concentration, was conducted on available smoking-related questions and cross-validated with 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to select the most predictive items of SHSe among children (n = 1670, mean child age = 8.4 years).

RESULTS

Answering positively to at least one of the two final items ("During the past 30 days, did you smoke cigarettes at all?" and "Has anyone, including yourself, smoked tobacco in your home in the past 7 days?") showed area under the curve = .82, and good specificity (.88) and sensitivity (.74). These results were validated with similar items in the nationally representative NHANES sample, area under the curve = .82, specificity = .78, and sensitivity = .77.

CONCLUSIONS

Our data-driven approach identified and validated two items that may be useful as a screening tool for a speedy and accurate assessment of SHSe among children.

IMPLICATIONS

The current study used a rigorous data-driven approach to identify questions that could reliably predict SHSe among children. Using saliva cotinine concentration levels as a gold standard for determining SHSe, our analysis employing elastic net regression identified two questions that served as good classifier for distinguishing children who might be at risk for SHSe. The two items that we validated in the current study can be readily used by clinicians, such as pediatricians, as part of screening procedures to quickly identify whether children might be at risk for SHSe.

Household Smoking Status and Heavy Metal Concentrations in Toenails of Children

There is limited evidence on the distribution of heavy metals and its association with secondhand smoking (SHS) within Pacific Island children living in New Zealand. Certain heavy metals such as cadmium (Cd), lead (Pb), and aluminum (Al) bioaccumulates in the body and can deteriorate health in both children and adults. Others, such as chromium (Cr) and nickel (Ni) in trace amounts are necessary but become toxic at high levels. Exposure routes of these elements include food, water, and air. The purpose of this study was to identify the distribution of toxic metal concentrations and its possible correlation with SHS within the Pacific Island children. A sub-sample of children within Pacific Island families longitudinal study, at the nine-year phase, who were living in the New Zealand city of Auckland were invited to participate, (n = 278). Toenails were used as a biomarker to determine Cr, Pb, Cd, Cu, Ni, and Al concentration using inductively coupled plasma mass spectrometry. Reliable and validated questionnaires were used for demographics, lifestyle, and health outcome variables. Significant differences between household smoking status and ethnicity, as well as parents' marital status, were observed (p < 0.05). There was no statistical difference in heavy metal concentrations in smoking versus non-smoking households. However, Cr, Pb, Cd, Cu, and Ni concentrations were all higher than the required optimal health value in both groups. A high concentration of heavy metals was observed in these children that exceeded the value required for optimal health, although no significant difference in heavy metals with regards to secondhand smoking was observed. SHS was associated with children's ethnicity and parental marital status, but not with household income levels or maternal education.

[Association between exposure to second-hand smoke and health status in children]

OBJECTIVE

This study aimed to estimate the association between second-hand smoke (SHS) exposure in children and asthma, wheezing and perceived health.

METHOD

A cross-sectional study based on a telephone survey was performed on a representative sample of 2411 children under 12 years old in Spain. Exposure to SHS in private and public settings, and the prevalence of asthma, wheezing and perceived poor health were described. The association between health indicators and SHS exposure was analyzed using multivariate Poisson regression models with robust variance according to age and educational level.

RESULTS

The prevalence of SHS exposure in children was 29.2% in private settings and 42.5% in public settings. There was no association between SHS exposure and asthma, wheezing and perceived poor health in children ≤5 years. In children aged 6-11 years with parents with primary/secondary education, presenting asthma (adjusted prevalence ratio [aPR]: 2.1; 95% confidence interval [95%CI]: 1.2-3.8) and worse perceived health (aPR: 1.6; 95%CI: 1.1-2.1) were positively associated with SHS exposure in private settings. In children with parents with university studies, a negative association between SHS exposure and asthma (aPR: .3; 95%CI: 0.1-0.7) and wheezing (aPR: 0.3; 95%CI: 0.1-0.8) was observed.

CONCLUSIONS

There are differences in the association between SHS exposure and asthma, wheezing and poor perceived health according to educational level. Interventions with an equity perspective aimed at reducing SHS exposure in childhood should be implemented.

Decreasing trend in passive tobacco smoke exposure and association with asthma in U.S. children

In this study, we assessed trends of serum cotinine levels over time among US children ages 3-11 years and compared the risk of asthma in groups exposed to passive tobacco smoke. We utilized National Health and Nutrition Examination Survey (NHANES) data collected from 2003 to 2014 (n = 8064). Serum cotinine level, household smoker status, asthma status, and sociodemographic information were extracted for multiple regression analyses. The adjusted biannual change in log (cotinine) in comparison to earlier NHANES survey cycles was - 0.196 (p < 0.001) overall, - 0.055 (p = 0.089) among children with household smoker(s), and - 0.129 (p < 0.001) among children without. The proportion of children living with household smokers decreased from 24.9% in the 2003-2004 cycle to 11.4% in the 2013-2014 cycle. The adjusted odds ratios (ORs) for asthma were 1.34 (95% confidence interval (CI): 1.00-1.80; 2nd tertile vs 1st tertile) and 1.69 (95%CI: 1.25-2.29; 3rd tertile vs1st tertile), respectively. Highly exposed asthmatic children, in the 3rd cotinine tertile (>0.13 ng/mL), were primarily Non-Hispanic Black (61.0%) and whose family incomes were below poverty guidelines. Overall results reveal passive smoke exposure level among children ages 3-11 in the US decreased over the study period. Nevertheless, higher exposure to passive smoke is still associated with higher odds of childhood asthma. Targeted smoking cessation interventions in clinical practices are needed to reduce tobacco smoke exposure and related asthma risk in children, particularly in low-income and minority groups.

Rates of exposure to environmental tobacco smoke from various indoor environments among US children and nonsmoker adolescents and adults

Data from National Health and Nutrition Examination Survey for 2013-2014 were used to compute rates of exposure (ROE) to environmental tobacco smoke (ETS) from various indoor environments among US children and nonsmoking adolescents and adults. In a typical week in USA, 473,000 infants (ROE, 11%), 3.36 million children aged 1-5 years (ROE, 16.4%), and 4.59 million children aged 6-11 years (ROE, 18.6%) are exposed to ETS from indoor environments only. ROE among children was found to be highest by inhaling tobacco smoke inside home, riding in a car, and when visiting other people's homes. In a typical week, 4.1 million nonsmoking adolescents (ROE, 29.2%) were being exposed to ETS. For every one adolescent smoker, 2.4 nonsmoker adolescents were being subjected to ETS exposure. Both non-Hispanic White (NHW) and non-Hispanic Black (NHB) nonsmoking adolescents had higher ROE (p < 0.01) than Hispanics (HISP) and non-Hispanic Asians (NHAS). Also, in a typical week, 16.8 million nonsmoking adults (ROE, 29.2%) were being exposed to ETS. For every adult smoker, 0.7 nonsmoker adult was subjected to ETS exposure. Both NHW and NHB nonsmoking adults had higher ROE (p < 0.01) than HISP and NHAS and males had higher ROE than females (p < 0.01).

The associations between cigarette smoking and health-related behaviors among Chinese school-aged adolescents

BACKGROUND

Evidence on the interrelations between cigarette smoking and a cluster of lifestyle behaviors is scarce for the Chinese youth population. This study is conducted to identify the associations between cigarette smoking and multiple health-related behaviors in a Chinese sample of adolescents.

METHODS

We used data from 2012 Zhejiang Youth Risk Behavior Survey, which is a school-based survey of 19,542 adolescents that assess risk behaviors using a self-reported questionnaire. The interrelations of cigarette smoking with lifestyle behaviors were investigated using logistic regression models.

RESULTS

Cigarette smoking was significantly inversely associated with breakfast (AOR = 0.58), vegetables (AOR = 0.81), fruits (AOR = 0.81), milk consumption (AOR = 0.69) and attending physical education classes (AOR = 0.69), while positively associated with soft drinks (AOR = 2.05), fast food consumption (AOR = 1.21), muscle strengthening activity (AOR = 1.67), computer use (AOR = 1.93) and alcohol drinking (AOR = 5.40).

CONCLUSIONS

The results suggested that cigarette smoking was associated with a cluster of health-related behaviors in adolescents, which should be considered in health promotion interventions to target multiple health behaviors.

Second-hand smoke exposure in 4-year-old children in Spain: Sources, associated factors and urinary cotinine

INTRODUCTION

Second-hand smoke exposure (SHS) in children remains as a major pollution problem, with important consequences for children's health. This study aimed to identify the sources of exposure to SHS among 4-year-old children, comparing self-reports to a urinary biomarker of exposure, and characterize the most important variables related to SHS exposure in this population.

METHODS

4-year-old children's exposure to SHS was assessed by a parental-reported questionnaire and by urinary cotinine (UC) measurements in 1757 participants from 4 different areas of the Spanish INMA (INfancia y Medio Ambiente - Environment and Childhood) Project. The questionnaire about SHS included information about smoking habits at home by household members, and about exposure to SHS in other places including other homes, bars, restaurants or transportation. The association between quantified UC levels (>4ng/ml) and sociodemographic variables and the different sources of SHS exposure was examined using logistic regression.

RESULTS

Based on parental reports, 21.6% of the children were exposed to SHS at home and 47.1% elsewhere; making a total 55.9% of the children exposed to SHS. In addition, 28.2% of the children whose parents reported being not regularly exposed to SHS had quantified UC values. Children from younger mothers (<34 vs. ≥39.4 y) had a higher odds of exposure to SHS [OR (95% CI): 2.28 (1.70-3.05) per year], as well as from families with a lower educational level [OR secondary: 2.12 (1.69-2.65); primary or less: 2.91 (2.19-3.88)]. The odds of quantifiable UC in children dropped after the smoking ban in public places [OR=0.59 (0.42-0.83)]. Regarding the sources of SHS exposure we observed that quantifiable UC odds was increased in children whose parents smoked at home in their presence [OR mother occasionally: 13.39 (7.03-25.50); mother often: 18.48 (8.40-40.66); father occasionally: 10.98 (6.52-18.49); father often: 11.50 (5.96-22.20)] or in children attending other confined places, mainly other houses where people smoked [OR: 2.23 (1.78-2.80)].

CONCLUSIONS

Children's SHS exposure is nowadays an unresolved major public health problem in Spain. After the ban of smoking in public places health care professionals should put more emphasis to the parents on the importance of controlling the exposure of their children in private spaces.

Trends in exposure to second hand smoke at home among children and nonsmoker adolescents

Data from National Health and Nutrition Examination Survey (NHANES) for the years 1999-2012 were used to evaluate trends in exposure to second hand smoke (SHS) at home among children aged 3-11 years and nonsmoker adolescents aged 12-19 years. A total of 12,815 children and 10,269 adolescents were included in the analyses. Serum cotinine was used as a biomarker for exposure to SHS at home. Regression models with log10 transformed values of serum cotinine as dependent variables and age, race/ethnicity, NHANES survey year, and family poverty income ratio as a surrogate measure of socioeconomic status were used in models for those with and without exposure to SHS at home. In addition, for those with exposure to SHS at home, number of smokers smoking inside home and number of cigarettes smoked at home every day were also used as independent variables. There was a biennial increase of 1.05 ng/L in adjusted serum cotinine levels for children with exposure to SHS at home over the period of 1999-2012. Serum cotinine levels among nonsmoker adolescents with exposure to SHS at home did not change over time. When there was no exposure to SHS at home, there was a statistically significant downward trend for serum cotinine levels for both children and nonsmoker adolescents. Serum cotinine levels attributable to SHS exposure increased with age among nonsmoker adolescents (p≤0.02) but decreased with age among children (p<0.01). For a unit decrease in family poverty income ratio, SHS exposure as measured by serum cotinine levels (Table 6) increased by 1.18 ng/L among children and by 1.30 ng/L among nonsmoker adolescents. In general, observed serum cotinine levels associated with SHS exposure at home were higher for children than they were for nonsmoker adolescents.

Public Policy to Protect Children From Tobacco, Nicotine, and Tobacco Smoke

Tobacco use and tobacco smoke exposure are among the most important health threats to children, adolescents, and adults. There is no safe level of tobacco smoke exposure. The developing brains of children and adolescents are particularly vulnerable to the development of tobacco and nicotine dependence. Tobacco is unique among consumer products in that it causes disease and death when used exactly as intended. Tobacco continues to be heavily promoted to children and young adults. Flavored and alternative tobacco products, including little cigars, chewing tobacco, and electronic nicotine delivery systems are gaining popularity among youth. This statement describes important evidence-based public policy actions that, when implemented, will reduce tobacco product use and tobacco smoke exposure among youth and, by doing so, improve the health of children and young adults.

Clinical Practice Policy to Protect Children From Tobacco, Nicotine, and Tobacco Smoke

Tobacco dependence starts in childhood. Tobacco exposure of children is common and causes illness and premature death in children and adults, with adverse effects starting in the womb. There is no safe level of tobacco smoke exposure. Pediatricians should screen for use of tobacco and other nicotine delivery devices and provide anticipatory guidance to prevent smoking initiation and reduce tobacco smoke exposure. Pediatricians need to be aware of the different nicotine delivery systems marketed and available.Parents and caregivers are important sources of children's tobacco smoke exposure. Because tobacco dependence is a severe addiction, to protect children's health, caregiver tobacco dependence treatment should be offered or referral for treatment should be provided (such as referral to the national smoker's quitline at 1-800-QUIT-NOW). If the source of tobacco exposure cannot be eliminated, counseling about reducing exposure to children should be provided.Health care delivery systems should facilitate the effective prevention, identification, and treatment of tobacco dependence in children and adolescents, their parents, and other caregivers. Health care facilities should protect children from tobacco smoke exposure and tobacco promotion. Tobacco dependence prevention and treatment should be part of medical education, with knowledge assessed as part of board certification examinations.

Exposure to second hand smoke at home and work among nonsmokers

Exposure to second hand smoke (SHS) is associated with adverse health effects. This study was undertaken to assess comparative levels of exposure to SHS at home and work among nonsmokers aged ⩾12 years. Data from National Health Examination Survey for 1999-2010 were analyzed to estimate exposure to SHS. Total number of subjects included in the study was 24,791. Those who self-reported not having used any tobacco products during the last five days were considered nonsmokers for the purpose of this study. Serum cotinine levels were used as the outcome variable to indicate the level of exposure to SHS. Adjusted serum cotinine levels for those with no exposure to SHS, exposure to SHS at work only, exposure to SHS at home only, and exposure to SHS at home and work were 0.047 (0.044-0.050)n g/mL, 0.055 (0.047-0.064) ng/mL, 0.522 (0.401-0.678) ng/mL, and 0.485 (0.280-0.0840) ng/mL respectively. Public efforts to reduce exposure to SHS at home should be strengthened.

Exposure to secondhand smoke in the home and mental health in children: a population-based study

OBJECTIVES

To examine the association between exposure to secondhand smoke (SHS) in the home and mental health among children.

METHODS

Cross-sectional study of 2357 children representative of the Spanish population aged 4-12 years in 2011-2012. Duration of SHS exposure in children was reported by parents. Probable mental disorder was defined as a score>90th centile in the parental version of the Strengths and Difficulties Questionnaire (SDQ). Statistical analysis was performed with logistic regression and adjusted for sociodemographic variables, lifestyle, neighbourhood environment and family characteristics, including parental mental health.

RESULTS

Among study participants, 6.9% (95% CI 5.7% to 8.0%) were exposed to SHS in the home for <1 h/day and 4.5% (95% CI 3.5% to 5.5%) for ≥1 h/day. Compared to children not habitually exposed to SHS, the multivariate ORs for probable mental disorder were 1.49 (95% CI 0.85 to 2.62) for SHS exposure<1 h/day and 2.73 (95% CI 1.38 to 5.41) for SHS exposure≥1 h/day (p for linear trend=0.002). The corresponding ORs for attention-deficit and hyperactivity disorder (ADHD) were 2.18 (95% CI 1.30 to 3.64) for <1 h/day exposure and 3.14 (95% CI 1.63 to 6.04) for ≥1 h/day exposure (p for linear trend<0.001). No association was found between SHS and the rest of the components of the SDQ.

CONCLUSIONS

Among children, SHS exposure in the home during ≥1 h/day is associated with a higher frequency of mental disorder. This association was mostly due to the impact of SHS on ADHD.

Implementation of smoke-free legislation in Malaysia: are adolescents protected from respiratory health effects?

BACKGROUND

This study aimed to examine the relationship between respiratory health of Malaysian adolescents with secondhand smoke (SHS) exposure and smoke-free legislation (SFL) implementation.

MATERIALS AND METHODS

A total of 898 students from 21 schools across comprehensive- and partial-SFL states were recruited. SHS exposures and respiratory symptoms were assessed via questionnaire. Prenatal and postnatal SHS exposure information was obtained from parental-completed questionnaire.

RESULTS

The prevalence of respiratory symptoms was: 11.9% ever wheeze, 5.6% current wheeze, 22.3% exercise-induced wheeze, 12.4% nocturnal cough, and 13.1% self-reported asthma. SHS exposure was most frequently reported in restaurants. Hierarchical logistic regression indicates living in a comprehensive-SFL state was not associated with a lower risk of reporting asthma symptoms. SHS exposure in public transport was linked to increased risk for wheeze (Adjusted Odds Ratio (AOR) 16.6; 95%confidence interval (CI), 2.69-101.7) and current wheezing (AOR 24.6; 95%CI, 3.53-171.8).

CONCLUSIONS

Adolescents continue to be exposed to SHS in a range of public venues in both comprehensive- and partial-SFL states. Respiratory symptoms are common among those reporting SHS exposure on public transportation. Non-compliance with SFL appears to be frequent in many venues across Malaysia and enforcement should be given priority in order to reduce exposure.

Fluticasone or montelukast in preschool wheeze: a randomized controlled trial

INTRODUCTION

Approximately 30% of children younger than 3 years experience at least 1 episode of wheezing. Antiasthmatic medication is routinely prescribed, but its effectiveness remains unclear. Our study was aimed to evaluate the effect of anti-inflammatory treatment on frequency and severity of preschool wheeze episodes (PWEs).

METHODS

Children aged 6 to 36 months with the first up to the third PWE were randomly assigned to receive montelukast, fluticasone, or no treatment for 12 weeks. The outcome measures were the number of PWEs, the number of hospitalizations due to PWE, and the severity of respiratory symptoms. results: There were no significant differences in outcome measures between the groups. However, tobacco-exposed children treated with fluticasone had significantly fewer PWEs (P = .01).

CONCLUSION

Neither montelukast nor fluticasone has proven effective in the prevention of PWE recurrence. Children of smoking parents may benefit from fluticasone treatment after PWE. This observation requires confirmation in larger studies.

Cigarette smoke exposure is associated with vitamin D3 deficiencies in patients with chronic rhinosinusitis

BACKGROUND

Cigarette smoke (CS) plays a role in the exacerbation of chronic rhinosinusitis (CRS); however, the mechanism for this is unknown. We hypothesize that CS impairs human sinonasal epithelial cell (HSNEC) conversion of 25(OH)D3 (25VD3) to 1,25-dihydroxyvitamin D3 (1,25VD3) and, furthermore, that supplementation with 1,25VD3 will reverse smoke-induced inflammatory responses by HSNECs.

OBJECTIVE

We sought to determine the effect of CS on vitamin D3 (VD3) levels, conversion, and regulation of CS-induced inflammation in control subjects and patients with CRS.

METHODS

Blood and sinus tissue explants were collected at the time of surgery from control subjects, patients with chronic rhinosinusitis without nasal polyps, and patients with chronic sinusitis with nasal polyps (CRSwNP). Expression of VD3 metabolizing enzymes were measured by using RT-PCR. Primary HSNECs were cultured from tissue explants. 25VD3 with and without cigarette smoke extract (CSE) was used to examine conversion of 25VD3 to 1,25VD3, as well as HSNEC production of proinflammatory cytokines.

RESULTS

CS exposure was associated with reduced circulating and sinonasal 25VD3 levels in all groups compared with those seen in CS-naive, disease-matched counterparts. CS exposure decreased expression of CYP27B1 and was especially pronounced in patients with CRSwNP. CSE impairs control HSNEC conversion of 25VD3. HSNECs from patients with CRSwNP also demonstrate an intrinsic reduction in conversion of 25VD3 to 1,25VD3. Exogenous 1,25VD3 reduces CSE-induced cytokine production by HSNECs.

CONCLUSIONS

Exposure to CS is associated with reduced 25VD3 levels and an impaired ability of HSNECs to convert 25VD3 to 1,25VD3. Addition of 1,25VD3 reduces the proinflammatory effects of CS on HSNECs. Impaired VD3 conversion by CS exposure represents a novel mechanism through which CS induces its proinflammatory effects.

Defining severe asthma - an approach to find new therapies

Asthma is a chronic inflammatory disease that has reached epidemic proportions worldwide. It is treatable in the majority of patients, but there is no cure. Moreover, a proportion of patients suffer from severe, difficult-to-control disease with daily symptoms and high morbidity, making it imperative that we continue to improve our understanding of the underlying mechanisms of this disease. Severe asthma is a heterogeneous condition. A systematic approach to identify specific asthma phenotypes, including clinical characteristics and inflammatory processes, is the first step toward individualized, logical therapy. This review focuses on the need to characterize severe asthma phenotypes and on novel, targeted molecular treatment options currently under development.

Age at onset of asthma and allergen sensitization early in life

BACKGROUND

Epidemiological evidence indicates that the age at onset of asthma and allergen sensitization in early life is decreasing in people from Western countries. To explore latent trends, we conducted a retrospective examination of the age at onset of asthma and specific IgE antibodies against inhalant allergens in Japanese asthmatic children.

METHODS

We conducted a case series study of 103 consecutive children with atopic type of asthma (aged 2 years to 16 years, mean age 9.4 ± 3.4 years). Diagnoses of asthma and allergic rhinitis were defined according to Japanese guidelines. The onset of asthma and allergic rhinitis was also defined as any report of asthma and allergic rhinitis confirmed by a physician. Allergen sensitization was evaluated as specific serum IgE levels for 9 common inhalant allergens in peripheral blood. Atopic type of asthma was defined as a being positive for at least one aeroallergen.

RESULTS

Mean age at asthma onset was 2.3 ± 1.9 years, which is slightly lower than that of previous reports, including those published in Japan. A high prevalence rate of up to 80% was found for perennial antigens including Dermatophagoides spp. and house dust, as reported previously. Notably, some of the children aged at 1 year tested positive for these allergens.

CONCLUSIONS

The age at onset of asthma seems to be decreasing in comparison with previous reports. Furthermore, the age at onset of allergen sensitization against inhalant allergens appears to follow this trend.

Impact of a multi-level intervention to prevent secondhand smoke exposure in schoolchildren: a randomized cluster community trial

OBJECTIVE

To assess the effectiveness of a multi-level (individual, family, and school) school-based intervention to prevent the exposure to secondhand smoke (SHS) in a population of schoolchildren (12-14 years old).

METHOD

This was a community trial with cluster randomization of schools to an intervention and comparison group (ClinicalTrials.Gov identifier NCT01881607). The intervention targeted schoolchildren in Terrassa (Catalonia, Spain). We assessed SHS exposure in different settings and tobacco consumption by means of a questionnaire before and one year after the intervention.

RESULTS

We analyzed data from 1734 students with both baseline and follow-up data. The crude analysis showed that SHS exposure among students in the intervention group significantly decreased at school (-14.0%), at home (-19.9%), and on transportation (-21.8%). In the comparison group, SHS exposure significantly decreased only at home (-16.9%). After adjustment for potential confounders, the good accomplishment of the activities showed a possible trend towards a non-significant reduction in exposure at home, transportation, and leisure time.

CONCLUSION

While this school-based multi-level intervention had no overall effect in SHS exposure, the improvement of the activities focused on preventing SHS would be needed in order to achieve a significant decrease in the proportion of children exposed to SHS.