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.

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.

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:

[The problematic use of the mobile phone: cross-sectional analysis of the individual profile and associated factors.] / El uso problemático del teléfono móvil: análisis transversal del perfil individual y factores asociados.

OBJECTIVE: The problematic use of mobile phones is a phenomenon that can be associated with a specific individual profile and it has been seen that there are associated factors, although most of them have been studied in a limited way and in small samples. The aim of this study was to describe the association between the problematic use of the mobile phone and social traits, health, and health-related behaviors among high school students. METHODS: This is a cross-sectional study performed in a representative sample of students aged 13-18 years in the Lifestyle Risk Factors in Secondary School Students (FRESC) survey conducted in 2016 in Barcelona (n=3,778). Problematic mobile phone use was obtained from the Mobile Related Experiences Questionnaire (CERM). Multivariate logistic regression models were built to assess the relationship between this variable and social, health and behavioural variables. RESULTS: A total of 52% of girls and 44% of boys reported frequent or occasional problems with their mobile phone usage. The factors associated with the dependent variable were poor relationships with the family, mobile phone usage before sleeping or during dinner, inadequate hours of sleep, sedentariness, substance consumption and poor mental health. CONCLUSIONS: The problematic use of the mobile is frequent among students and there are several associated social, health and behavioral factors. There are substantial differences by sex and age, with the strongest associations in younger girls.

OBJETIVO: El uso problemático del teléfono móvil es un fenómeno que puede estar asociado a un perfil individual concreto y se ha visto que hay factores asociados, aunque, mayoritariamente, se han estudiado de forma limitada y en muestras pequeñas. El objetivo de este estudio fue describir la asociación entre el uso problemático del teléfono móvil y los rasgos sociales, la salud y las conductas relacionadas con la salud entre estudiantes de Secundaria. METODOS: Se realizó un estudio transversal realizado en una muestra representativa de estudiantes de trece a dieciocho años procedentes de la encuesta Factores de riesgo en el estilo de vida en estudiantes de secundaria (FRESC), realizada en 2016 en Barcelona (n=3.778). El uso problemático del móvil se obtuvo del Cuestionario de experiencias relacionadas con el móvil (CERM). Se construyeron modelos de regresión logística multivariante para evaluar la relación entre esta variable y las variables sociales, de salud y de comportamiento. RESULTADOS: Un total de 52% de chicas y 44% de chicos reportaron problemas frecuentes u ocasionales con el uso de su teléfono móvil. Los factores asociados al uso problemático del teléfono móvil fueron: malas relaciones con la familia; uso del móvil antes de dormir o visionado de pantallas durante la cena; horas de sueño inadecuadas; sedentarismo; consumo de sustancias; y mala salud mental. CONCLUSIONES: El uso problemático del teléfono móvil es frecuente entre los estudiantes y hay varios factores sociales, de salud y comportamientos asociados. Existen diferencias sustanciales por sexo y edad, siendo las asociaciones más fuertes en las chicas más jóvenes.

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.

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.

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.

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.

[Personality traits associated with the substance consumption in young people in a context of vulnerability]. / Rasgos de la personalidad asociados al consumo de sustancias en jóvenes en contexto de vulnerabilidad.

OBJECTIVE: To analyze the patterns of alcohol and cannabis consumption, and their associated factors, in young people aged 16 and 21 in a context of vulnerability. METHOD: Cross-sectional study based on a pre-test questionnaire from an evaluation study, administered to a convenience sample of 365 young people from Social Guarantee Programs (SGP), or who attended activities of community entities from disadvantaged neighborhoods in Barcelona. Dependent variables were experimental, regular, and problematic alcohol and cannabis consumption, while independent variables were impulsivity, sensation seeking, expectations, and beliefs regarding drug use, social skills, and contextual variables. Associations were established using multivariate logistic regression models. RESULTS: The prevalence of intensive alcohol consumption (24.2% for binge drinking and 33.3% for binge drinking) and experimental (51.1%) and problematic cannabis use (12.9%) was higher in SGP students than entity youth. Likewise, they presented higher scores on the impulsivity scales, sensation seeking, expectations and beliefs favorable to alcohol consumption. In general, the prevalence of experimental alcohol consumption was higher in girls than in boys. Regular binge drinking was associated with intense sensations seeking (adjusted odds ratio [aOR]: 1.06; 95% confidence interval [95%CI]: 1.01-1.12), while attending SGP was associated with problematic cannabis use (aOR: 2.73; 95%CI: 1.26-5.89). Positive expectations to alcohol and cannabis use were associated with problematic substance use. CONCLUSION: Individual risk, linked to the higher risk trajectories of SGP students, is associated with a higher problematic consumption of alcohol and cannabis than in young people from community entities exposed to an environmental risk of high frequency of consumption.

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.

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 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.

Secondhand smoke exposure and other signs of tobacco consumption at outdoor entrances of primary schools in 11 European countries.

INTRODUCTION: Although smoking restrictions at child-related settings are progressively being adopted, school outdoor entrances are neglected in most smoke-free policies across Europe. OBJECTIVES: To describe secondhand smoke (SHS) exposure and tobacco-related signs in outdoor entrances of primary schools in Europe according to area-level socioeconomic status (SES), smoke-free policy, national smoking prevalence, and geographical region. METHODS: In this cross-sectional study we monitored vapor-phase nicotine concentrations at 220 school outdoor entrances in 11 European countries (March 2017-October 2018). To account for nicotine presence, we used the laboratory's limit of quantification of 0.06 µg/m3 as point threshold. We also recorded the presence of smell of smoke, people smoking, cigarette butts, and ashtrays. Half of the schools were in deprived areas. We grouped countries according to their Tobacco Control Scale (TCS) score, smoking prevalence (2017-2018), and United Nations M49 geographical region. RESULTS: There were detectable levels of nicotine in 45.9% of the outdoor entrances, in 29.1% smell of smoke, in 43.2% people smoking, in 75.0% discarded butts, and in 14.6% ashtrays. Median nicotine concentration was below the laboratory's limit of quantification <0.06 µg/m3 (Interquartile range:<0.06-0.119). We found higher SHS levels in countries with lower TCS scores, higher national smoking prevalence, and in the Southern and Eastern European regions. People smoking were more common in schools from lower area-level SES and in countries with lower TCS scores (p<0.05). CONCLUSIONS: Smoking at school outdoor entrances is a source of SHS exposure in Europe. These findings support the extension of smoking bans with a clear perimeter to the outdoor entrances of schools.

Qualitative evaluation of a community-based intervention to reduce social isolation among older people in disadvantaged urban areas of Barcelona.

This study analyses participants' and coordinators' perceptions of the implementation process and perceived benefits of a community-based intervention to reduce social isolation among older adults. The 'School of Health for Older People' is a weekly community intervention that promotes resources among individuals and communities in order to enhance their ability to identify problems and activate solutions, encouraging participation in the community. A qualitative approach was employed, based on semi-structured interviews and focus groups (FGs). This study was carried out in Barcelona. Two coordinators (community nurses) and 26 community-dwelling people aged 65 and over who attended the School of Health for Older People in the neighbourhoods of Besòs and Guineueta, participated in in-depth interviews and FGs between January and February 2016. Views and experiences about the intervention were explored. The main perceived effects of the intervention were expanding knowledge of health issues and of community activities, encouraging participants to go out, giving them a feeling of being heard, and peer relationships, increasing participants' contacts and knowledge while the main negative features were related to repetition of certain contents. The benefits identified included learning something about health and their own neighbourhood and breaking the habit of staying at home. Social isolation might be prevented by increasing the number of contacts with peers and sharing a common interest, since it could help to give them a sense of belonging to a community.

Smoking-Attributable mortality in Spain in 2016.

INTRODUCTION: Smoking-attributable mortality (SAM) is a valuable indicator that can be used to characterize the course and health burden of the smoking epidemic. The aim of this paper was to estimate SAM in Spain in 2016 in the population aged 35 and over, using the best available evidence. METHODS: A smoking prevalence-dependent analysis based on the estimation of population-attributable fractions was performed. Smoking prevalence (never, former, and current smokers) was calculated from a combination of the Spanish Health Survey (2016) and the European Health Survey (2014); the relative risk of death among current and former smokers was taken from the follow-up of various cohorts; and mortality rates were obtained from National Center for Statistics data. SAM estimates are presented globally, and by sex, age groups, and major disease categories: cancer, cardiometabolic diseases and respiratory diseases. RESULTS: In 2016, 56,124 deaths were attributed to tobacco consumption, 84% in men (47,000), and 50% in the population aged over 74 (27,795). Overall, 50% of SAM was due to cancer (28,281), 65% of which was lung cancer. One in 4 attributable deaths (13,849) occurred before the age of 65. CONCLUSIONS: One in 7 deaths in Spain in 2016 were attributable to smoking. This estimation of SAM clearly highlights the great impact of smoking on mortality in Spain, mainly due to lung cancer and chronic obstructive pulmonary disease.

School and town factors associated with risky alcohol consumption among Catalan adolescents.

Risky alcohol consumption among adolescents has health and social consequences. Evidence identifying the school context that determines alcohol consumption among rural and urban adolescents is lacking. This study aimed to describe the contextual school and town factors determining risky alcohol consumption among rural and urban 10th-grade adolescents (15-17 years old) from Catalonia (northeastern Spain). The study had a cross-sectional design. Cluster sampling with the class as the sampling unit was used, and a total of 1268 10th-grade adolescents from Catalonia nested in 26 high schools participated in the study. A computerized and self-administrated questionnaire was used to collect individual variables. Contextual variables were collected from the Catalan police registers, geocoded sources, and governmental internet databases, and by aggregation of answers from the self-administrated questionnaire. The prevalence of risky alcohol consumption was calculated, and a multilevel Poisson regression analysis with robust variance was conducted with data from adolescents nested within high schools. The results show that risky alcohol consumption is higher among rural adolescents (59.3%) than among urban youth (51.1%) (p < 0.005). Positive expectancies, drunkenness of siblings and friends, and most of the variables indicating accessibility are associated with risky alcohol consumption at the individual level. At the contextual level, the sports center rate and the high school's percentage of risky student alcohol consumption are strongly associated with individual risky alcohol consumption. The town environment (rural or urban), the unemployment rate, and the number of pubs and nightclubs lost their significance after adjustment by the individual and mediating variables. In conclusion, individual factors, such as the influence of drinking patterns of siblings and friends, and more alcohol access opportunities, are associated with adolescents' risky alcohol consumption. The associated contextual factors are the sports center rate and the percentage of risky classmate alcohol consumers. Interventions targeting adolescents should focus at community and high school levels, trying to reduce adolescents' accessibility to alcohol.

[Association between exposure to second-hand smoke and health status in children]. / Asociación entre el humo ambiental de tabaco y el estado de salud en la población infantil.

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.