Secondhand smoke presence in outdoor areas in 12 European countries

Introduction: Secondhand smoke (SHS) causes morbidity and mortality among non-smokers. Objectives: To investigate SHS presence in outdoor areas from 12 European countries and its association with country-level characteristics. Methods: Cross-sectional study performed in 2017-2018 within the TackSHS project. We conducted a face-to-face survey on a representative sample of the population aged 15 years and older from 12 European countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain. Out of 11,902 participants, 8,562 were non-smokers. SHS presence was assessed in selected outdoor areas and defined as respondents viewing someone smoking the last time they visited each setting within the last 6 months. A ranking score for outdoor SHS presence was assigned to each country based on the SHS presence in each setting. We used Spearman's correlation (r) and the Chi-squared tests to assess the relationship between SHS presence and country-level characteristics. Results: Except for children's playgrounds (39.5%; 95% confidence interval, CI: 37.6%-41.3%), more than half of non-smokers reported SHS presence in outdoor areas: schools (52.0%; 95%CI: 50.2%-53.7%), stadia (57.4%; 95%CI: 55.4%-59.4%), parks (67.3%; 95%CI: 66.0%-68.5%), hospitals (67.3%; 95%CI: 65.8%-68.7%), public transport stops (69.9%; 95%CI: 68.6%-71.2%), bar/restaurant terraces (71.4%; 95%CI: 70.2%-72.6%), and beaches (72.8%; 95%CI: 71.4%-74.1%). Residents in Latvia showed the highest overall outdoor SHS presence rank, followed by Greece, and Portugal. Outdoor SHS presence was directly correlated to the country's smoking prevalence (r = 0.64), and inversely correlated to the Tobacco Control Scale 2016 overall score (r = -0.62), the socio-demographic index 2017 (r = -0.56), and Gross Domestic Product per capita 2018 (r = -0.47) (p < 0.001). Conclusions: SHS presence is high in most outdoor areas in Europe, especially in countries with higher smoking prevalence and lower tobacco control performance. To address outdoor SHS exposure, our findings require considering smoking bans along with other strategies to reduce smoking prevalence

Factors related to caregivers’ risk perception of secondhand smoke exposure on children’s health

Introduction: Home is one of the main places for children's secondhand smoke (SHS) exposure. The implementation of smoke-free rules at home might be influenced by caregivers' risk perception of SHS exposure. This study aimed to analyze factors related to caregivers' risk perception of SHS exposure in children. Methods: We conducted a cross-sectional telephone survey among a representative sample of 2411 parents or legal guardians of children aged <12 years in Spain in 2016. The main study variable was caregivers' healthrisk perception of SHS exposure on children. We investigated correlates of risk perception using multivariate Poisson regression models with robust variance. Results: Overall, 59.6% reported SHS exposure negatively affects children's health a lot, while 34.1% that it affects quite a bit, and 5.5% and 0.8% a little bit or not at all, respectively. The factors associated with a higher caregivers' risk perception were high education level (adjusted prevalence ratio, APR=1.11; 95% CI: 1.01-1.24), living in a non-smoking family unit (APR=1.17; 95% CI: 1.07-1.27), in a home with smoke-free rules (APR=1.34; 95% CI: 1.19-1.51), and with girls only (APR=1.14; 95% CI: 1.06-1.22). Conclusions: Caregivers' risk perception of SHS exposure is influenced by social determinants and smoking habits in family units. These findings support the need for interventions with a social equity perspective to reduce children's SHS exposure

Burden of respiratory disease attributable to secondhand smoke exposure at home in children in Spain (2015)

This study aimed to estimate the number of incident cases and hospital admissions attributable to secondhand smoke (SHS) exposure at home for asthma, otitis media (OM), and lower respiratory infections (LRI) in children in Spain. The burden of respiratory disease caused by SHS exposure was estimated in terms of incident cases and hospitalized cases for asthma, OM, and LRI. Estimates were calculated using the population attributable fraction. The age-specific (0-1 year, 0-4 years, 5-11 years, and 0-11 years) prevalence of SHS exposure in children was estimated through a telephone survey performed in a representative sample of Spanish households with children in 2016. The risk estimates for all diseases were selected from international meta-analyses. The number of hospitalized cases was obtained for each disease from the Hospital Minimum Data Set provided by the Ministry of Health of Spain. Incident cases were obtained from the Global Health Data Exchange. In 2015, SHS exposure caused an estimated total of 136,403 incident cases of the following respiratory diseases: 9058 (8.5%) cases of asthma, 120,248 (8.5%) of OM, and 7097 (13.5%) of LRI in children aged 0-14 years old in Spain. Likewise, SHS exposure caused a total of 3028 hospitalized cases, with 379 (8.5%) for asthma and 167 (8.5%) for OM in children 0-11 years old, and 2482 (11.6%) for LRI in children <2 years old. The high burden of respiratory disease attributed to SHS exposure supports the need to improve protection of children against SHS exposure by extending smoke-free regulations to homes and cars

Social inequalities in secondhand smoke exposure in children in Spain

Introduction: Children are particularly vulnerable to the health effects of secondhand smoke (SHS). The objectives of this study are to describe SHS exposure of children younger than 12 years in Spain and to identify potential social inequalities associated with SHS exposure. Material and Methods: A cross-sectional study was conducted in a representative sample of the population younger than 12 years in Spain. A computerassisted telephone interview was conducted with parents or legal guardians in 2016, to assess the children's SHS exposure at home, in the car, at school and at the nursery gates, in public transport, and during leisure time. The socio-demographic variables included were the child's age and sex, the highest educational attainment at home, and occupational social class. Prevalence and 95% confidence intervals were calculated for SHS exposure in each setting and for overall exposure. Results: In all, 71.8% of the children were exposed to SHS: 25.8% were exposed at home, 4.6% in the car, 8.2% in public transport, 31.9% at outdoor nursery or school gates, and 48% during leisure time. The higher the educational attainment at home, the lower the exposure (38.8% for primary school or lower, 28.7% for secondary school and 20.8% university level). The more deprived the social class, the higher the exposure (21.7% class I-II, 23.4% class III-IV and 31.1% class V-VII). SHS exposure in cars and overall exposure also decreased with higher educational achievement. Conclusions: In Spain, a large proportion of children are still exposed to SHS. Furthermore, there are clear social inequalities. To reduce SHS exposure, there is an urgent need for evidence-based interventions with an equity perspective

The Prospective Association Between Electronic Device Use Before Bedtime and Academic Attainment in Adolescents

© 2018 Elsevier Ltd Purpose: To examine longitudinal associations between five commonly used technology devices prior to bedtime and real-life academic outcomes in adolescents. Methods: A total of 853 adolescents were recruited to a three-year prospective cohort study, with annual assessments. Academic grades/levels for three core subjects (English, Mathematics, and Science) were extracted from school records, and standardized (z-scores) were derived at the end of each academic year. A validated questionnaire was used to determine the frequency of using five types of technology (television viewing, video gaming, mobile telephone use, listening to music, and social networking) before bedtime. Results: After adjustment, English attainment was the subject most affected by prebedtime technology use, where three of five technologies assessed were negatively and prospectively associated (social networking [β = −.07 and p =.024], video gaming [β = −.10 and p =.008], and mobile telephone [β = −.07 and p=.017]). Social networking (β = −.07and p =.042), television viewing (β = −.08 and p =.044), and mobile telephones (β = −.07 and p =.031) were associated with significant impairment in English for girls whereas attainment in boys was most impaired by video gaming (β = −.12 and p =.014). Conclusions: The use of electronic devices by adolescents before bedtime may reduce their academic attainment, but apart from video gaming for boys, the negative impact of near bedtime technology use on academic performance is small

Secondhand smoke exposure in outdoor children’s playgrounds in 11 European countries

Introduction: Tobacco presence in outdoor children's playgrounds is concerning not only because it leads to secondhand smoke (SHS) exposure, but also cigarette butt pollution and tobacco normalization. Objectives: This study aimed to assess SHS exposure in children's playgrounds, according to area-level socioeconomic status (SES), smoke-free regulations, national smoking prevalence, and SHS exposure prevalence in playgrounds (2017-2018). Methods: We monitored vapor-phase nicotine concentration and tobacco-related variables in 20 different playgrounds in 11 European countries (n = 220 measurements) from March 2017 to April 2018. Playgrounds were selected according to area-level SES. Data on the number of people smoking, and cigarette butts inside the playground and on playground surroundings (<1 m away) were recorded. Playground smoking bans, the Tobacco Control Scale (TCS) score, national smoking prevalence and SHS exposure prevalence in playgrounds were used to group countries. To determine nicotine presence, we dichotomized concentrations using the limit of quantification as a cut-off point (0.06 μg/m3). Nicotine median concentrations were compared using non-parametric tests, and nicotine presence and tobacco-related observational variables using the Chi-squared test. Results: Airborne nicotine presence was found in 40.6% of the playgrounds. Median nicotine concentration was <0.06 μg/m3 (Interquartile range: <0.06-0.125) and higher median concentrations were found in more deprived neighborhoods, non-regulated playgrounds, in countries with lower overall TCS scores, higher national smoking prevalence and higher SHS exposure prevalence in playgrounds. Overall, people were smoking in 19.6% of the playgrounds. More than half of playgrounds had cigarette butts visible inside (56.6%) and in the immediate vicinity (74.4%). Presence of butts inside playgrounds was higher in sites from a low area-level SES, in countries with low TCS scores, and greater smoking prevalence and SHS exposure prevalence (p<0.05). Conclusions: There is evidence of SHS exposure in children's playgrounds across Europe. These findings confirm the need for smoking bans in playgrounds and better enforcement in those countries with smoking bans in playgrounds

Who smokes in Europe? Data from 12 European countries in the TackSHS survey (2017-2018)

Background: Population data on tobacco use and its determinants require continuous monitoring and careful inter-country comparison. We aimed to provide the most up-to-date estimates on tobacco smoking from a large cross-sectional survey, conducted in selected European countries. Methods: Within the TackSHS Project, a face-to-face survey on smoking was conducted in 2017-2018 in 12 countries: Bulgaria, England, France, Germany, Greece, Ireland, Italy, Latvia, Poland, Portugal, Romania, and Spain, representing around 80% of the 432 million European Union (EU) adult population. In each country, a representative sample of around 1,000 subjects aged 15 years and older was interviewed, for a total of 11,902 participants. Results: Overall, 25.9% of participants were current smokers (31.0% of men and 21.2% of women, P < 0.001), while 16.5% were former smokers. Smoking prevalence ranged from 18.9% in Italy to 37.0% in Bulgaria. It decreased with increasing age (compared to <45, multivariable odds ratio [OR] for ≥65 year, 0.31; 95% confidence interval [CI], 0.27-0.36), level of education (OR for low vs high, 1.32; 95% CI, 1.17-1.48) and self-rated household economic level (OR for low vs high, 2.05; 95% CI, 1.74-2.42). The same patterns were found in both sexes. Conclusions: These smoking prevalence estimates represent the most up-to-date evidence in Europe. From them, it can be derived that there are more than 112 million current smokers in the EU-28. Lower socio-economic status is a major determinant of smoking habit in both sexes

Virtually impossible: limiting Australian children and adolescents daily screen based media use

Background: Paediatric recommendations to limit children’s and adolescents’ screen based media use (SBMU) to less than two hours per day appear to have gone unheeded. Given the associated adverse physical and mental health outcomes of SBMU it is understandable that concern is growing worldwide. However, because the majority of studies measuring SBMU have focused on TV viewing, computer use, video game playing, or a combination of these the true extent of total SBMU (including non-sedentary hand held devices) and time spent on specific screen activities remains relatively unknown. This study assesses the amount of time Australian children and adolescents spend on all types of screens and specific screen activities. Methods: We administered an online instrument specifically developed to gather data on all types of SBMU and SBMU activities to 2,620 (1373 males and 1247 females) 8 to 16 year olds from 25 Australian government and non-government primary and secondary schools. Results: We found that 45% of 8 year olds to 80% of 16 year olds exceeded the recommended < 2 hours per day for screen use. A series of hierarchical linear models demonstrated different relationships between the degree to which total SBMU and SBMU on specific activities (TV viewing, Gaming, Social Networking, and Web Use) exceeded the < 2 hours recommendation in relation to sex and age. Conclusions: Current paediatric recommendations pertaining to screen use exposure may no longer be tenable because screen based media are central in the everyday lives of children and adolescents. In any reappraisal of SBMU exposure times, researchers, educators and health professionals need to take cognizance of the extent to which screen use differs across specific screen activity, sex, and age

Sobrepeso, obesidad y conductas relacionadas con la salud en adolescentes de Barcelona

El sobrepeso y la obesidad infantojuvenil es uno de los principales problemas de salud pública en el siglo XXI debido principalmente a su elevada prevalencia a nivel mundial y al alto impacto que puede tener sobre la morbimortalidad, la calidad de vida y el gasto sanitario tanto a corto como largo plazo. Los objetivos de esta tesis son estimar la prevalencia de sobrepeso y obesidad y de la adopción de conductas de riesgo potencialmente obesogénicas en adolescentes de Barcelona, así como analizar la asociación entre dichas conductas y el sobrepeso y la obesidad. Por otro lado, también se identifican factores individuales y contextuales de entorno familiar y escolar asociados a conductas potencialmente obesogénicas (tiempo excesivo delante de pantallas y horas de sueño insuficientes). Se han realizado cuatro estudios a partir de datos obtenidos en las ediciones de 2008 (estudios 1 y 2) y 2012 (estudios 3 y 4) de una encuesta sobre factores de riesgo relacionados con la salud (encuesta FRESC) que se administra periódicamente a una muestra representativa de jóvenes escolarizados de la ciudad de Barcelona. Los resultados de esta tesis muestran la importancia de abordar las intervenciones dirigidas a reducir o evitar el sobrepeso y la obesidad desde un punto de vista multicomponente, multinivel y con una perspectiva de género y equidad.Childhood overweight and obesity is one of the main public health concerns in the XXI Century mainly due to their high prevalence worldwide and its great impact on morbimortality, quality of life and healthcare spending in both short and long term. This thesis aimed 1) to estimate the prevalence of overweight and obesity and the adoption of potentially obesogenic behavioural risk factors among adolescents in Barcelona; 2) to analyze the potencial relationship between potentially obesogenic behavioural risk factors and overweight and obesity; and 3) to identify individual factors and family and school contextual factors associated with two of the potentially obesogenic behavioural risk factors analysed (excessive screen time and short sleep duration). Four studies were carried out using data from two editions (2008 edition in studies 1 and 2; 2012 edition in estudies 3 and 4) of a lifestyle risk factors survey (FRESC survey), which is periodically administered to a representative sample of in-school adolescents in Barcelona. The results of this thesis show the need of considering a multiple behaviour and multilevel approach with gender and equity perspectives in preventive programs focused on tackling overweight and obesity