Adapting Schools to Climate Change with Green, Blue, and Grey Measures in Barcelona: Study Protocol of a Mixed-Method Evaluation.

Under the framework of the Urban Innovative Actions program of the European Commission, in 2020, 11 primary schools in Barcelona were transformed into climate shelters by implementing green, blue, and grey measures. Schoolyards were also opened to the local community to be used during non-school periods. Here we present the study protocol of a mixed-method approach to evaluate the effectiveness of the interventions in terms of improving environmental quality and health for users. We evaluated school level through the following: (1) quantitative pre-post quasi-experimental study, and (2) qualitative evaluation. The quantitative study included measures of (a) environmental variables (collected via low-cost and non-low-cost sensors), (b) students' health and well-being (collected via health questionnaires, attention levels test, and systematic observations), and (c) teachers' health and well-being (collected via thermal comfort measurements and health questionnaires). The qualitative methods evaluated the perceptions about the effects of the interventions among students (using Photovoice) and teachers (through focus groups). The impact of the interventions was assessed at community level during summer non-school periods through a spontaneous ethnographic approach. Data collection started in August 2019 and ended in July 2022. The evaluation provides the opportunity to identify those solutions that worked and those that need to be improved for future experiences, as well as improve the evaluation methodology and replication for these kinds of interventions.

Exposure to secondhand and thirdhand smoke in private vehicles: Measurements in air and dust samples.

BACKGROUND: This study aimed to estimate airborne nicotine concentrations and nicotine, cotinine, and tobacco-specific nitrosamines (TSNAs) in settled dust from private cars in Spain and the UK. METHODS: We measured vapor-phase nicotine concentrations in a convenience sample of 45 private cars from Spain (N = 30) and the UK (N = 15) in 2017-2018. We recruited non-smoking drivers (n = 20), smoking drivers who do not smoke inside the car (n = 15), and smoking drivers who smoke inside (n = 10). Nicotine, cotinine, and three TSNAs (NNK, NNN, NNA) were also measured in settled dust in a random subsample (n = 20). We computed medians and interquartile ranges (IQR) of secondhand smoke (SHS) and thirdhand smoke (THS) compounds according to the drivers' profile. RESULTS: 24-h samples yielded median airborne nicotine concentrations below the limit of quantification (LOQ) (IQR:

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries.

OBJECTIVE: Smoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households' characteristics, tobacco consumption habits, and national contextual factors. METHODS: Cross-sectional study (March 2017-September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 µg/m3. RESULTS: Overall, median nicotine concentration was 0.85 µg/m3 (interquartile range (IQR):0.15-4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 µg/m3 IQR: 0.32-6.34), where smoking was allowed (1.60 µg/m3 IQR: 0.68-7.63), with two or more residents who smoked (2.42 µg/m3 IQR: 0.58-11.0), with more than 40 cigarettes smoked (2.92 µg/m3 IQR: 0.97-10.61), and where two or more residents smoked inside (4.02 µg/m3 IQR: 1.58-11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05). CONCLUSIONS: SHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

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.

How widespread is electronic cigarette use in outdoor settings? A field check from the TackSHS project in 11 European countries.

Exposure to secondhand aerosol from electronic cigarettes (e-cigarettes) may pose harms to bystanders, but they are used in many indoor settings. Less evidence exists on e-cigarette use in outdoor settings. This study aims to assess the use of e-cigarettes in outdoor settings in Europe. A cross-sectional study was conducted at the entrances of primary schools (N = 200), children's playgrounds (N = 200), and outdoor hospitality venues (N = 220) during 2017-2018 in major cities of 11 European countries. We performed 30-min observations and recorded e-cigarette use at three-time points: at 0 min, 15 min, and 30 min. We described the number and proportion of settings with e-cigarette use observed at any of the three-time points according to country and other contextual variables. Results showed that there were 22 (11.0%) school entrances, eight (4.0%) playgrounds, and 47 (21.3%) outdoor hospitality venues where e-cigarette use was observed at any time point. School entrances and outdoor hospitality venues with observed e-cigarette use were more frequently found in countries with a higher prevalence (≥1.4%) of e-cigarette use (school entrances: 18.0% vs. 4.0%; p = 0.002, outdoor hospitality venues: 26.7% vs. 15.0%, p = 0.036). In conclusion, the outdoor setting with the highest visibility of e-cigarette use was outdoor areas of hospitality venues. Although still limited, e-cigarettes were also used in outdoor settings frequented by children. Governments should consider measures to restrict e-cigarette use outdoors to protect the health of bystanders, particularly in areas where children may be present.

Secondhand smoke exposure assessment in outdoor hospitality venues across 11 European countries.

OBJECTIVE: Due to partial or poorly enforced restrictions secondhand tobacco smoke (SHS) is still present in outdoor hospitality venues in many European countries. This study aimed to assess SHS concentrations in outdoor hospitality venues across Europe and identify contextual exposure determinants. METHODS: Cross-sectional study. We measured airborne nicotine and evidence of tobacco use in terraces of bars, cafeterias, and pubs from 11 European countries in 2017-2018. Sites were selected considering area-level socioeconomic indicators and half were visited during nighttime. We noted the smell of smoke, presence of smokers, cigarette butts, ashtrays, and number of physical covers. Contextual determinants included national smoke-free policies for the hospitality sector, the Tobacco Control Scale score (2016), and the national smoking prevalence (2017-2018). We computed medians and interquartile ranges (IQR) of nicotine concentrations and used multivariate analyses to characterize the exposure determinants. RESULTS: Nicotine was present in 93.6% of the 220 sites explored. Overall concentrations were 0.85 (IQR:0.30-3.74) µg/m3 and increased during nighttime (1.45 IQR:0.65-4.79 µg/m3), in enclosed venues (2.97 IQR:0.80-5.80 µg/m3), in venues with more than two smokers (2.79 IQR:1.03-6.30 µg/m3), in venues in countries with total indoor smoking bans (1.20 IQR:0.47-4.85 µg/m3), and in venues in countries with higher smoking prevalence (1.32 IQR:0.49-5.34 µg/m3). In multivariate analyses, nicotine concentrations were also positively associated with the observed number of cigarette butts. In venues with more than two smokers, SHS levels did not significantly vary with the venues' degree of enclosure. CONCLUSIONS: Our results suggest that current restrictions in outdoor hospitality venues across Europe have a limited protective effect and justify the adoption of total smoking bans in outdoor areas of hospitality venues.

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.

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.

Community intervention to reduce social isolation in older adults in disadvantaged urban areas: study protocol for a mixed methods multi-approach evaluation.

BACKGROUND: The proportion of older people has dramatically increased in recent decades. Moreover, social and demographic trends show a global increase of older people at risk of loneliness and lack of social relationships. The objective of this study was to evaluate the process, the effectiveness and the cost-effectiveness of a planned 22 weekly group sessions called School of Health for Older People to reduce social isolation. METHODS: This is a mixed methods multi-approach evaluation that includes: 1) A qualitative evaluation among coordinators and participants taking part in the intervention, through in depth-interviews and focus groups, respectively. The main topics covered will be positive and negative aspects of the intervention, suggestions for its improvement, opinions on different aspects of the intervention, and perceived benefits; 2) A quantitative quasi-experimental design, comparing a group of individuals taking part in the intervention with another group with similar characteristics not receiving the intervention. Data will be collected at the beginning and at the end of the intervention. Social support will be measured through questions drawn from the Medical Outcomes Study and the National Social Life, Health, and Aging Project questionnaires. Psychological morbidity will be measured through Goldberg's General Health Questionnaire, and Health-related Quality of Life will be measured through the EuroQoL questionnaire. Information on visits to the primary care center in the years before and after the intervention will be obtained from the electronic records of the primary care centers; 3) A cost-utility analysis, which will be conducted from a health system (primary care) perspective, including direct costs of the program and the primary care health services used. The effects of the intervention will be measured on quality-adjusted life years. DISCUSSION: There is an urgent need for studies assessing the effectiveness and the efficiency of potential interventions to reduce social isolation among older persons. The results of this study will help to fill the knowledge gap in this area and might be especially useful for the development of social and public health policies and programs for older people in disadvantaged neighborhoods in urban areas. TRIAL REGISTRATION: NCT03142048 retrospectively registered (April 11, 2017).

Sociodemographic factors associated with secondhand smoke exposure and smoking rules in homes with children.

BACKGROUND: This study aims to identify sociodemographic characteristics associated with secondhand smoke (SHS) exposure and the adoption of smoking bans in homes with children in Spain. METHODS: We performed, in 2016, a cross-sectional study to a representative sample of Spanish households with children under 12 years old. We administered a telephone survey to the parents asking about smoking patterns at home, children's SHS exposure and sociodemographic characteristics. Poisson regression models with robust variance were built to assess sociodemographic characteristics associated with household SHS exposure and the adoption of smoking rules. RESULTS: In this study participated 2411 families, 25.8% of which reported exposure at home and 84.4% implemented smoking bans. SHS exposure was associated with having one (aPR = 2.09; 95% CI: 1.43-3.04) or two Spanish parents (aPR = 1.71; 95% CI: 1.24-2.36), lower educational attainment (primary: aPR = 1.74; 95% CI: 1.45-2.10; secondary: aPR = 1.37; 95% CI: 1.17-1.60 compared with university studies), a family structure different from two-parent family (aPR = 1.38; 95% CI: 1.14-1.67) and parents between 31 and 40 years (aPR = 0.75; 95% CI: 0.57-0.99) and 41-50 years (aPR = 0.62; 95% CI: 0.47-0.81) compared with 18- to 30-year-old parents. The adoption of smoking bans was associated with two-parent family (aPR = 1.09; 95% CI: 1.01-1.17), living with non-smokers (aPR = 1.46; 95% CI: 1.31-1.62), parents of foreign origin (aPR = 1.09; 95% CI: 1.04-1.14) and younger children (0-3 years: aPR = 1.05; 95% CI: 1.01-1.09) compared with the oldest children (8-11 years). CONCLUSION: The parent's origin and the family structure were associated with SHS exposure and the adoption of smoking bans at home. Moreover, the number of smokers living at home was relevant for the adoption of smoking bans, and the educational attainment for SHS exposure. These factors should be taken into consideration when designing or implementing smoke-free home programmes.

E-cigarettes in airports and on flights: Europe and the US. / Cigarrillos electrónicos en aeropuertos y en vuelos: Europa y EEUU.

BACKGROUND: While progress has been made to create smoke-free airports, sales of e-cigarettes at airports and airplanes and the presence of advertisements might detract from these smoke-free policies. The objective of this study is to describe the presence of policies, advertising, sales and use of e-cigarettes in airports and on flights in Europe and the US. METHODS: A cross-sectional study was conducted between March-May, 2014. The study included 21 large and mid-sized airports of Europe and the US as well as 19 flights. A standardised protocol was used to observe points of sales and advertisements and to collect information on the implementation of policies on e-cigarette use. In addition, a series of questions were developed to obtain policy details from airport personnel and flight attendants. RESULTS: Retail outlets selling e-cigarettes in airports were present in approximately 20% and 40% of the observed pre and post-security areas, respectively. In post-security, 27.8% of the airport staff reported that the use of e-cigarettes indoors was not allowed, 22.2% reported that they did not know, 27.8% reported that it was only allowed in the smoking room, and 22.2% reported that it was allowed anywhere. Smoking ban announcements were made on all flights. However, only 15.8% of the flights made a specific announcement regarding the ban of using e-cigarettes. Conclusions. In light of our results, it seems necessary to reinforce in-flight e-cigarette smoking ban announcements and to instruct airport employees about the existence of e-cigarette smoking policies. Furthermore, airports themselves should also be encouraged to adopt smoke-free policies.

Antecedentes. Pese a los avances en las políticas libres de humo en los aeropuertos, las ventas de cigarrillos electrónicos en aeropuertos y aviones y la presencia de publicidad pueden suponer un paso atrás en la implementación de dichas políticas. El objetivo de este estudio es describir la presencia de políticas, publicidad, ventas y el uso de cigarrillos electrónicos en aeropuertos y en vuelos de Europa y los EE.UU.Métodos. Estudio transversal realizado entre marzo y mayo del año 2014. El estudio incluyó 21 aeropuertos grandes y medianos de Europa y los EE.UU., así como 19 vuelos. Se utilizó un protocolo estandarizado para observar puntos de venta y publicidad y se recogió información sobre la implementación de políticas sobre el uso de cigarrillos electrónicos. Además, obtuvo información más detallada del personal del aeropuerto y de los asistentes de vuelo sobre las políticas de uso de cigarrillo electrónicos.Resultados. Los puntos de venta de cigarrillos electrónicos en los aeropuertos estaban presentes en aproximadamente el 20% y el 40% de las áreas observadas antes y después del control de seguridad, respectivamente. Después del control, el 27,8% del personal del aeropuerto declaró que no estaba permitido el uso los cigarrillos electrónicos en el interior, el 22,2% declaró que no sabía si se podían usar, el 27,8% declaró que sólo estaba permitido en el área de fumadores y el 22,2% declaró que se podía fumar en cualquier parte. Todos los vuelos anunciaron la prohibición de fumar. Sin embargo, sólo el 15,8% de los vuelos específicamente anunció la prohibición de usar cigarrillos electrónicos.Conclusiones. Nuestros resultados muestran que sería necesario reforzar los avisos de prohibición del uso de cigarrillos electrónicos durante los vuelos y de instruir a los empleados del aeropuerto sobre la existencia de políticas sobre el uso de cigarrillos electrónicos. Además, también se debería promover políticas libres de humo sin excepciones en todos los aeropuertos.

Validity of self-reported indicators to assess secondhand smoke exposure in the home.

INTRODUCTION: Questionnaires are widely used to assess secondhand smoke (SHS) exposure. However, the validity of self-reported SHS exposure indicators has been rarely assessed. We aimed to assess correlations, sensitivity, specificity, and predictive values between self-reported SHS exposure indicators and airborne nicotine concentrations. METHODS: We performed a cross-sectional study with a convenience sample of 175 homes in Barcelona and Santiago de Compostela, Spain. Airborne nicotine samples were collected from participants' homes and a self-administered questionnaire was completed on SHS exposure in the home. Spearman correlations coefficients and sensitivity, specificity and predictive values were assessed between self-reported SHS exposure indicators and nicotine concentrations in the home. RESULTS: All self-reported SHS exposure indicators correlated moderately strongly with airborne nicotine concentrations (Spearman correlations coefficient ranging from 0.58 to 0.65). Moreover, sensitivities and negative predictive values between self-reported indicators and the presence of nicotine in the home were below 66.4% while specificities and positive predictive values were over 78.4%. The "number of people usually smoking in the home" showed the best results (rs = 0.65, p < 0.001; sensitivity = 50.4%, specificity = 95.2%, PPV = 95.0, NPV = 51.3). CONCLUSIONS: The self-reported SHS indicators assessed in this study showed moderate and strong correlations, low sensitivities, and high specificities. Among them, the best results were obtained with the "number of people usually smoking in the home".

Second-hand smoke exposure in homes with children: assessment of airborne nicotine in the living room and children's bedroom.

BACKGROUND: The introduction of 'smoke-free laws' has reduced the population's exposure to second-hand smoke (SHS), although SHS is still an issue in homes and other public places. Children are vulnerable to its health effects, and their greatest exposure occurs at home. OBJECTIVES: To assess airborne nicotine concentration of the living room and children's bedroom of homes with children under 13 years of age, and to analyse factors associated with these levels. METHODS: We conducted a cross-sectional study in Barcelona in 2015-2016, selecting a convenience sample from families with at least one child under 13 years of age. The sample comprised 50 families with smokers and 50 without. We measured airborne nicotine concentrations in the living room and children's bedroom, and, using a questionnaire administered to the parents, collected information about smoking habits at home. RESULTS: Homes without smokers showed nicotine concentrations below the limit of detection (<0.02 µg/m3), while those with at least one smoker showed 0.16 µg/m3 in the living room and 0.12 µg/m3 in the bedroom. When smoking was allowed inside home, these values increased to 1.04 and 0.48 µg/m3, respectively. Moreover, nicotine concentrations in both rooms were strongly correlated (r=0.89), and higher nicotine levels were associated with the number of cigarettes smoked in the living room, smoking rules, the number of smokers living at home and tobacco smell. CONCLUSIONS: Homes with smokers present SHS in the living room and in the children's bedroom. Therefore, programmes focused on reducing children's SHS exposure are urgently needed.

Trends in Inequalities in the Use of Condom by Urban Teenagers in Spain.

Social and economic inequalities in condom use by adolescents have been reported previously. Also, condom use has declined during the last decade. The aim of the study was to describe trends in the use of condoms in our setting, and how these trends may differ between socioeconomic groups in boys, and separately in girls, aged 17-19 years attending school in Barcelona between 2004 and 2012. We analyzed data from three annual surveys on risk factors in secondary students, which included a representative sample of the city's population; individuals who had previously had sexual intercourse (n = 1570) were included in the study. We calculated adjusted prevalence ratios (aPR) and their confidence intervals (95% CI) using robust Poisson regression models. The prevalence of condom use among boys was 87.0% in 2004 and 76.2% in 2012, and 76.7 and 64.7% among girls, respectively. This decrease was greater in adolescents with a low socioeconomic level, both in boys (aPR = 0.80) and girls (aPR = 0.84). The observed increase of socioeconomic inequalities in condom use in adolescents highlights a possible deterioration in good sexual practices and policies during the studied period.

Factors associated with media use among adolescents: a multilevel approach.

BACKGROUND: During the last few years, several studies have reported a high screen time use among adolescents that can be related to negative health effects. The aims of this study were to describe screen time use among secondary school students and to identify individual- and school-level factors associated with media use. METHODS: A cross-sectional study based on a self-reported questionnaire was performed among a representative sample of 2675 secondary school students (13-19 years old). Adolescents reported the amount of time spent viewing television, playing videogames and using the computer as well as other health-related behaviours and attitudes. Multilevel analysis was carried out and prevalence ratios were calculated to determine the association between media use and related factors. RESULTS: Around 50% of the students reported watching television for ≥2 h/day during weekdays. Boys reported playing videogames for ≥2 h/weekday much more often than girls (14.6 and 1.5%, respectively). 68.2% of boys and 61.7% of girls reported using the computer for ≥2 h/weekday. In the multilevel analysis, the main factors associated with screen-related sedentary behaviours were attending schools from a low socio-economic status neighbourhood, eating unhealthy food and not reading books frequently. CONCLUSION: The prevalence of adolescents reporting an excessive use of media devices is high, especially among students attending schools from deprived areas. Interventions to reduce screen time among adolescents may be necessary to reduce the risk of some metabolic and cardiovascular diseases such as being overweight and obesity in late adolescence or early adulthood.

Changes in prevalence and socioeconomic inequalities in secondhand smoke exposure in Spanish children, 2016-2019.

INTRODUCTION: Children are vulnerable to secondhand smoke (SHS) exposure, especially those with lower socioeconomic status. This study assesses the changes in prevalence and socioeconomic inequalities in SHS exposure in children younger than 12 years old in Spain between 2016 and 2019. METHODS: We conducted two cross-sectional studies among representative samples of households with children aged <12 years in Spain, in 2016 (n=2411) and 2019 (n=2412). Families were interviewed to assess children's SHS exposure in private settings and outdoor public venues and their adoption of home and car smoke-free rules. We used the education level of the home main earner as a proxy for socioeconomic position. Changes over time in the prevalence and socioeconomic inequalities of SHS exposure and smoke-free rules were estimated through adjusted Poisson regression models with robust variance according to sociodemographic covariates (adjusted prevalence ratios, APRs). RESULTS: In 2019, 70.5% of children were exposed to SHS in Spain. No changes between 2016 and 2019 were found for overall SHS exposure, exposure at home, and at school entrances. SHS exposure increased at public transport stations (APR=1.24; 95% CI: 1.03-1.49) and outdoor hospitality venues (APR=1.17; 95% CI: 1.07-1.29) while it decreased in cars (APR=0.74; 95% CI: 0.56-0.98) and parks (APR=0.87; 95% CI: 0.77-0.98). Households with lower education level had higher prevalence of SHS exposure at home in 2019 compared with those with university studies (primary: APR=1.30; 95% CI: 1.11-1.51; secondary: APR=1.12; 95% CI: 1.00-1.25) and were less likely to adopt home indoor smoke-free rules (primary: APR=0.88; 95% CI: 0.79-0.99; secondary: APR=0.95; 95% CI: 0.89-1.02). Socioeconomic inequalities in SHS exposure at home persisted between 2016 and 2019 (p>0.05), while decreased in smoke-free rules in cars (p=0.039). CONCLUSIONS: Reported SHS exposure among children in Spain remained high between 2016 and 2019. Inequalities persisted at home, highlighting the need for measures to reduce such exposure with an equity perspective.

Long-term effect of the influenza A/H1N1 pandemic: attitudes and preventive behaviours one year after the pandemic.

This study aimed to describe changes in attitudes and behaviours regarding influenza A infection 1 year after the end of the pandemic. A cross-sectional study was performed based on two population-based telephone surveys including 1027 (February, 2010) and 1000 (February, 2011) participants in Spain. The percentages of the respondents who reported that they had adopted preventive measures to avoid Influenza infection declined 1 year after the pandemic. Influenza-related consultations decreased, whereas confidence in vaccination increased. Despite the decrease observed in adopting preventive measures, some behaviours were still being adopted long time after the pandemic in general population.

Fidelity of implementation of Reptes, an alcohol and cannabis selective prevention program for youngsters.

OBJECTIVE: Implementation fidelity is a key dimension in process evaluation but has been scarcely studied. Reptes is a selective alcohol and cannabis use prevention program performed in vulnerable young people (16-21 years) from different educational and leisure settings. The study aimed to describe the components of this program, its implementation fidelity, and satisfaction among participants and facilitators. METHOD: A descriptive cross-sectional study was conducted. Implementation fidelity was assessed in terms of adherence, dose, participant responsiveness, and quality of the intervention through self-reports completed by 15 facilitators and self-administered questionnaires by 99 youth from the 15 groups completing the program. RESULTS: 70.7% of the groups performed 30 of the 43 planned activities with high use of various teaching methods, except for Information and Communication Technology resources. Fidelity implementation was above 70%. 2/3 groups completed an acceptable intervention and 1/3 completed a qualified intervention. Satisfaction was higher than 7. CONCLUSIONS: Our results show high implementation fidelity and satisfaction compared with those from similar studies.