Predictors of indoor smoking at young children's homes--a cross-sectional study

[Societal inequalities and the urban exposome: Social origins for different exposures]

Today, many epidemiological studies have proved the adverse health consequences of environmental exposure. For instance, air pollution exposure is recognized to be related with respiratory and cardiovascular diseases as well as adverse pregnancy outcomes. Noise nuisances are also known to increase cardiovascular diseases and to disturb the sleeping quality. Inversely, the access and availability of various resources, as parks, green spaces, and playgrounds positively affect health, psychological and physical well-being, and favorable health behaviors. In this present literature review, we will focus on the urban dimension of exposome, defined by Robinson et al. as the accumulation of all urban settings favorable or unfavorable to health, from the time of life in utero [1].

Change in exposure of children to second-hand smoke with impact on children's health and change in parental smoking habits after smoking ban in Bavaria - a multiple cross-sectional study

BACKGROUND

Concerns about smoking displacement from public places to private amenities aroused following smoking ban implementation in Bavaria in 2008. We analysed children's exposure to second-hand smoke (SHS) before and after the ban, its effect on children's health and prevalence of active smoking in adults.

METHODS

Six cross-sectional surveys (n = 32,443) on pre-school children in Bavaria were analysed, two surveys before the smoking ban in years 2004 and 2005 (S1 and S2) and four after the ban in 2008, 2012, 2014 and 2016 (S4, S6, S7 and S8). Using multivariable logistic regression, we analysed change in children's intra- and extrauterine SHS exposure and its adverse health effects (Asthma, wheezing, bronchitis and neurodermatitis) as well as change in parental active smoking.

RESULTS

The response rates were 78% for S1, 73% for S2, 61% for S4, 62% for S6, 56% for S7 and 54% for S8. Odds of parents never smoked at home in presence of children increased significantly from before to after the ban with odds ratios (OR) 1.17 (CI_95% 1.01-1.35), 1.65 (CI_95% 1.39-1.95), 2.85 (CI_95% 2.32-3.51), 2.24 (CI_95% 1.84-2.72) and 3.66 (CI_95% 2.89-4.63) for S2, S4, S6, S7 and S8, respectively with S1 as reference. Compared to S4, odds of parents who were not actively smoking is significantly higher in S7 (OR = 1.13 (CI_95% 1.03-1.24)) and S8 (OR = 1.24 (CI_95% 1.13-1.36)). The odds of mothers who never smoked during pregnancy increased over time with OR = 1.22 (CI_95% 1.06-1.40) for S2 and 1.57 (CI_95% 1.33-1.86) for S8 compared to S1. Adverse health effects related to children's exposure to SHS are significantly less in S8 compared to S1.

CONCLUSION

After 11 years of smoking ban in Bavaria, smoking displacement to homes was disproved. Exposure of children to SHS intrauterine and at home is decreasing. Number of parents who are not actively smoking is increasing over time. Prevalence of health problems in children related to exposure to SHS is decreasing.

Exposure to indoor air pollution across socio-economic groups in high-income countries: A scoping review of the literature and a modelling methodology

Disparities in outdoor air pollution exposure between individuals of differing socio-economic status is a growing area of research, widely explored in the environmental health literature. However, in developed countries, around 80% of time is spent indoors, meaning indoor air pollution may be a better proxy for personal exposure. Building characteristics - such as build quality, volume and ventilation - and occupant behaviour, mean indoor air pollution may also vary across socio-economic groups, leading to health inequalities. Much of the existing literature has focused on inequalities in exposure to outdoor air pollution, and there is thus a lack of an evidence base reviewing data for indoor environments. In this study, a scoping review of the literature on indoor air pollution exposures across different socio-economic groups is performed, examining evidence from both monitoring and modelling studies in the developed world. The literature was reviewed, identifying different indoor pollutants, definitions for socio-economic status and pre- and post- housing interventions. Based on the review, the study proposes a modelling methodology for evaluating the effects of environmental policies on different socio-economic populations. Using a sample size calculation, obstacles in obtaining sufficiently large samples of monitored data are demonstrated. A modelling framework for the rapid quantification of daily home exposure is then outlined as a proof of concept. While significant additional research is required to examine inequalities in indoor exposures, modelling approaches may provide opportunities to quantify exposure disparities due to housing and behaviours across populations of different socio-economic status.

[Exposure to second-hand smoke in school adolescents from Tunja (Colombia), 2017]

INTRODUCTION

Adolescents exposed to second-hand smoke have a higher risk of morbidity. This is one of the main preventable public health problems in Latin America.

OBJECTIVE

To determine the prevalence and sociodemographic factors associated with exposure to second-hand tobacco smoke at home and out-of-home, in school adolescents from Tunja-Colombia.

METHODOLOGY

This cross-sectional study included 1100 school students, aged between 11 and 19 years. The information was obtained using a self-administered and totally anonymous questionnaire. For the analysis, the proportions of everyday exposure and the mean number of days of exposure to second-hand smoke during a regular week were estimated. For the associations, ordinal logistic regression and negative binomial regression models were performed.

RESULTS

The average age of the participants was 14.5 years, with the majority (59%) being female. As regards second-hand tobacco smoke exposure at home, an everyday prevalence of 4.9% was found, from 1 to 6 days of 14.7%, with a mean exposure of 0.7 days (SD 1.7). Additionally, there was a higher prevalence of exposure to second-hand smoke out-of-home: every day 8%, from 1 to 6 days of 34.1%, with a mean exposure of 1.5 days (SD 2.2).

CONCLUSION

The prevalence of exposure to second-hand smoke in adolescents of Tunja was high. Interventions at school and family level are recommended to counteract this problem.

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.

Social disparities in parental smoking and young children's exposure to secondhand smoke at home: a time-trend analysis of repeated cross-sectional data from the German KiGGS study between 2003-2006 and 2009-2012

Background

Children who are exposed to secondhand smoke (SHS) have an increased risk of a wide range of health problems and illnesses. Smoke-free legislation aims to improve indoor air quality and in this way protect the health of people who do not smoke. This paper examines trends in SHS exposure at home among children in Germany since the introduction of smoking bans in public places. Special focus is placed on the importance of the family of origin’s socioeconomic status (SES) and on parental smoking behaviour.

Methods

The analyses are based on two waves of the “German Health Interview and Examination Survey for Children and Adolescents” (KiGGS)—one of which was conducted immediately before the introduction of central smoke-free legislation in the 2003-2006 period, the other approximately 6 years later from 2009 to 2012. A comparison is made between the answers given by the parents of children aged between 0 to 6 (KiGGS baseline study, n = 6680; KiGGS Wave 1, n = 4455). Domestic SHS exposure is covered in the parent interviews by asking whether anyone is allowed to smoke at home in the presence of their child. Parental smoking behaviour is determined separately for mothers and fathers. SES is determined on the basis of the parents’ education, occupational status and income.

Results

The percentage of 0- to 6-year-old children exposed to SHS in the parental home fell from 23.9 to 6.6 % in the period from 2003-2006 to 2009-2012. At the same time, the percentage of children with at least one parent who smokes decreased from 49.8 to 41.8 %. While relative social inequalities in parental smoking behaviour have tended to increase over time, inequalities in domestic SHS exposure have persisted. Children whose parents smoke and children from low-SES families are still most likely to be exposed to tobacco smoke. In both study periods and after statistical adjustment for parental smoking behaviour, children with a low SES had a 6.6-fold higher risk for SHS exposure in the parental home than children from high-SES households.

Conclusions

The results of the KiGGS study show that the proportion of children in Germany who are exposed to SHS at home has declined significantly over the last few years. There is much to suggest that the smoke-free legislation that has been introduced in Germany has led to a heightened awareness of the health risks of SHS both in public and in the private sphere, as well as to a denormalization of smoking. Children whose parents smoke, and among them particularly children from socially disadvantaged families, should be recognised as key target groups when implementing future tobacco-control measures.

Hospitalization risk factors for children's lower respiratory tract infection: A population-based, cross-sectional study in Mongolia

This study aimed to assess the potential risk factors for lower respiratory tract infection (LRTI)-related hospital admissions in Mongolian children. A population-based cross-sectional study was conducted in rural Mongolia in 2013, and 1,013 mother–child pairs were included. Of the participating children, 38.9% were admitted to hospital with LRTIs. Home smoking, low birthweight, being a male child, exclusive breastfeeding and healthcare-seeking behaviour showed substantial association with LRTI-related hospital admissions. Number of cigarettes smoked by family members showed a dose-response relationship and increased hospital admissions. Strategies to prevent second-hand-smoke exposure from adult smokers, especially inside the home, are crucial to preventing LRTI-related hospital admissions for children in Mongolia. Improving rates of exclusive breastfeeding and increasing birthweight have great potential to decrease the likelihood of children acquiring a LRTI. Educational initiatives are also necessary for women who are less likely to seek out care for their children’s symptoms.

Factors associated with secondhand smoke exposure prevalence and secondhand smoke level of children living with parental smokers: a cross sectional study

Factors that might account for the probability of children being exposed to secondhand smoke compared to those who are unexposed and characteristics associated with the urinary cotinine level (UCL) of those who are exposed were investigated. All households in a German region with a child aged 3 years or younger (n = 3,570) were invited to participate in a study that tested the efficacy of an intervention for reducing secondhand smoke exposure. In 1,282 households, at least one parent reported daily smoking. Among these, 915 (71.3%) participated in the study. For data analyses, we used a two-part model. Characteristics of the households associated with SHSE of the youngest child were analyzed, as well as characteristics associated with UCL among those exposed. Exposure to secondhand smoke was defined using a UCL ≥ 10 ng/ml. Secondhand smoke exposure was detected in 57.1% of the samples. Nursery attendance was associated with secondhand smoke exposure, in addition to the number of smokers living in the household, extent of home smoking ban and parental education. Among children exposed, nursery attendance, season of urine collection and age of the child were associated with UCL. Consideration of seasonal smoking behavior and a child's age at the time of intervention may increase attention to the adverse health effects of secondhand smoke exposure.

Predictors of children's secondhand smoke exposure at home: a systematic review and narrative synthesis of the evidence

BACKGROUND

Children's exposure to secondhand smoke (SHS) has been causally linked to a number of childhood morbidities and mortalities. Over 50% of UK children whose parents are smokers are regularly exposed to SHS at home. No previous review has identified the factors associated with children's SHS exposure in the home.

AIM

To identify by systematic review, the factors which are associated with children's SHS exposure in the home, determined by parent or child reports and/or biochemically validated measures including cotinine, carbon monoxide or home air particulate matter.

METHODS

Electronic searches of MEDLINE, EMBASE, PsychINFO, CINAHL and Web of Knowledge to July 2014, and hand searches of reference lists from publications included in the review were conducted.

FINDINGS

Forty one studies were included in the review. Parental smoking, low socioeconomic status and being less educated were all frequently and consistently found to be independently associated with children's SHS exposure in the home. Children whose parents held more negative attitudes towards SHS were less likely to be exposed. Associations were strongest for parental cigarette smoking status; compared to children of non-smokers, those whose mothers or both parents smoked were between two and 13 times more likely to be exposed to SHS.

CONCLUSION

Multiple factors are associated with child SHS exposure in the home; the best way to reduce child SHS exposure in the home is for smoking parents to quit. If parents are unable or unwilling to stop smoking, they should instigate smoke-free homes. Interventions targeted towards the socially disadvantaged parents aiming to change attitudes to smoking in the presence of children and providing practical support to help parents smoke outside the home may be beneficial.