Third-hand exposure at homes: Assessment using salivary cotinine.

BACKGROUND/OBJECTIVES: While exposure to secondhand smoke (SHS) is a well-established problem, exposure to third-hand smoke (THS) is scanty known and needs to be studied. The objective of this work is to characterize salivary cotinine concentrations among people who self-reported exposure to SHS and THS at home. METHODS: Cross-sectional study of a representative sample (n = 736) of the adult population (≥16 years) from the city of Barcelona carried out in 2013-2014. A questionnaire on tobacco use and passive exposure was administered, and a saliva sample was collected for cotinine determination. For this study, the information of the non-smoker participants who provided saliva sample (n = 519) was used. The geometric means (GM) and geometric standard deviations (GSD) of the cotinine concentration were compared according to the type of self-reported exposure at home: (1) Not exposed to SHS or THS; (2) Exposed to SHS and THS; and (3) Only exposed to THS. We used log-linear models to compare the cotinine concentration of each exposed group with respect to the unexposed group, adjusting for sex, age, educational level, and tobacco exposure in other settings. RESULTS: The GM of the salivary cotinine concentration was 0.34 ng/ml (GSD = 0.16) among individuals reporting SHS and THS exposure, 0.22 ng/ml (GSD = 0.15) among those reporting only THS exposure and 0.11 ng/ml (GSD = 0.04) among those who declared not to be exposed to SHS nor THS (p-value for trend <0.001). The regression model showed a statistically significant increase in cotinine concentration among those exposed to SHS and THS (188% higher, 95% CI: 153%; 223%), and only exposed to THS (106% higher, IC95. %: 74.5%; 137.0%) when comparing with the unexposed group. No statistically significant differences in cotinine concentration were observed between those exposed to SHS and THS compared to the THS group (-25.8%, 95% CI: -69.5%; 17.9%). CONCLUSIONS/RECOMMENDATIONS: People exposed to third-hand smoke at home had quantifiable cotinine levels in saliva. No differences in cotinine levels were found between those exposed to second-hand and third-hand smoke at home. The reduction of exposure to third-hand smoke at home should be put into the agenda of tobacco control.

Relation between tobacco control policies and population at high risk of lung cancer in the European Union.

INTRODUCTION: Lung cancer accounts for nearly 2 million deaths per year worldwide, the majority of cases due to smoking as the main risk factor associated. The aim of this study was to assess the relation between the level of implementation of tobacco control policies and the population at high risk of lung cancer in the European Union (EU). METHODS: The Special Eurobarometer 458 "Attitudes of Europeans towards tobacco and electronic cigarettes", conducted in 2017, and the Tobacco Control Scale (TCS) 2010, 2013, and 2016 were the sources of our data. High risk of lung cancer was defined by the inclusion criteria in the National Lung Screening Trial (NLST) and the Dutch-Belgian Lung Cancer Screening Trial (NELSON), the largest lung cancer screening trials carried out in the US and the EU. We calculated Spearman's rank correlation coefficients (rsp) and fitted multilevel generalized linear mixed models using the quasi-Poisson family to assess the correlation at the national level and analyze the association at the individual level, respectively, between the scores in the TCS (higher scores means better implementation of tobacco control policies) and the proportion of individuals at high risk of lung cancer in member states of the EU. RESULTS: The scores in the TCS 2010 were statistically negatively correlated with the current proportion of ever and former smokers at high risk according to NELSON criteria (-0.41; 95%CI -0.68, -0.04 and -0.49; 95%CI -0.73, -0.13, respectively). We observed statistically significant inverse associations between the scores in the TCS 2010 for the highest quartiles and the proportion of individuals at high risk of lung cancer according to both criteria. Non-statistically significant negative correlations and inverse associations were observed with other TCS. CONCLUSION: There is a lag between the implementation of tobacco control policies and the reduction of the rates of high risk of lung cancer. Member states should reinforce comprehensive tobacco control policies to reduce the population at high risk of lung cancer in the EU.

[Prevalence of smoke-free homes and passive exposure to tobacco in pediatric population (children from 3 to 36 months)]. / Prevalencia de hogares libres de humo y exposición pasiva al tabaco en población pediátrica (niños de 3 a 36 meses).

OBJECTIVE: Pediatric population is the most vulnerable to secondhand smoke (SHS), exposure being households the main source of exposure in children. The objective of this study is to describe smoke-free households and the prevalence of SHS in the pediatric population (from 3 to 36 months) in Spain. METHODS: Cross-sectional study with 1,368 parents, mothers or guardians with children from 3 to 36 months carried out in Spain from March to November of 2017 through an online questionnaire as part of the EPISON study. Information was collected on the voluntary adoption of tobacco use regulations at home and SHS exposure at home and other environments. We calculated prevalences and Odds Ratio adjusted (ORa) for sex, age, level of education, and smoking status. RESULTS: 87.6% of respondents claimed to have a smoke-free home. 12.4% of respondents had partial regulation or did not have regulation at home, increasing up to 26.0% when the parent was a smoker or to 21.8% when the parent had primary or lower education. 5.4% of parents reported SHS exposure in their children at their homes, rising to 14.5% when it occurs in other environments, increasing with statistically significant differences between smoking parents and parents with lower educational level. CONCLUSIONS: The smoke-free homes are the majority; but SHS exposure to tobacco at home persists in children under 3 years of age, especially in families with a lower educational level. Therefore, awareness-raising campaigns on the effects of passive exposure on minors among families with.

OBJETIVO: La población pediátrica es la más vulnerable a la exposición pasiva al humo ambiental del tabaco (HAT), siendo los hogares la fuente principal de exposición en niños. El objetivo de este estudio fue describir los hogares libres de humo y la prevalencia de exposición pasiva al HAT en la población pediátrica (de 3 a 36 meses) en España. METODOS: Estudio transversal con 1.368 padres, madres o tutores con hijos de 3 a 36 meses realizado en España de marzo a noviembre de 2017 mediante cuestionario online como parte del estudio EPISON. Se recogió información sobre la adopción voluntaria de normas de consumo de tabaco en el hogar y exposición al HAT en casa y otros ambientes. Se calcularon las prevalencias y las Odds Ratio ajustadas (ORa) por sexo, edad, nivel educativo y consumo de tabaco. RESULTADOS: El 87,6% de los encuestados afirmó tener un hogar libre de humo. El 12,4% de los encuestados tenían regulación parcial o no tenían ninguna regulación en el hogar, incrementándose hasta el 26% cuando el progenitor era fumador o al 21,8% cuando tenía estudios primarios o inferiores. El 5,4% de los padres refirió exposición pasiva al tabaco en niños en sus hogares, elevándose hasta el 14,5% cuando la exposición se produjo en otros ambientes, incrementándose de forma estadísticamente significativa la diferencia entre los padres fumadores y con menor nivel educativo. CONCLUSIONES: Los hogares libres de humo son mayoritarios, pero persiste la exposición pasiva al tabaco en el hogar con niños menores de 3 años, especialmente en familias con menor nivel educativo. Por ello, se deberían incentivar campañas de sensibilización sobre los efectos de la exposición pasiva en menores, especialmente en familias con menos recursos.

Measuring precarious employment in Europe 8 years into the global crisis.

BACKGROUND: The objective of this study is to describe the prevalence of precarious employment in the European Union (EU) using a multidimensional approach, 8 years into the economic crisis (2014). METHODS: We use data from the Flash Eurobarometer 398 among salaried workers (n = 7702). We calculated the proportion and its 95% confidence intervals (CI 95%) for each of the precarious employment dimensions (not having the ability to exercise rights, vulnerability, disempowerment and temporariness), the prevalence of precarious employment (presenting at least one dimension) and the proportion of workers presenting one, two, three or four dimensions. RESULTS: Two out of three workers had a precarious employment. The prevalence of precariousness was higher in Eastern (72.64%; CI 95%: 61.78; 81.34) than in Nordic European countries (51.17%; CI 95%: 44.30; 58.00). The most prevalent dimension was not having the ability to exercise rights (42.39%). CONCLUSIONS: Precarious employment is an important social determinant of health. Therefore, the EU policy-makers should take into consideration the new forms of employment and legislate accordingly.

Attitudes towards tobacco product regulations and their relationship with the tobacco control policies.

The objective of this work is to describe the acceptability of some tobacco products regulations and to explore their relation with tobacco control legislation levels in Europe. We used data on tobacco control activities in Europe in 2007, 2010 and 2013 measured by the Tobacco Control Scale (TCS) and data regarding attitudes about tobacco control regulations (i.e. adding picture health warnings on all packages of tobacco products or increasing taxes on tobacco products) from the Special Eurobarometer of 2009, 2012 and 2014 (n = 80,831). We calculated the prevalence ratio of favorable attitudes towards tobacco products restrictions in the reference year 2009 vs. the most current year (i.e. 2009 vs 2014), and the effect of previous TCS scores on the attitudes towards tobacco products regulations adjusted for sociodemographic variables. Strong support for the studied tobacco products regulations, which modestly increased over time, was observed. A positive relation was generally observed between TCS scores and support for the studied tobacco products regulations at both the ecological and individual level. A positive correlation was found between TCS scores and support for increasing taxes on tobacco products (rsp:0.29; 95%CI: 0.10, 0.48) at the ecological level, while at the individual level, the positive association was more remarkable in the case of support for adding large health warning labels to packaging. In conclusion, support for the studied tobacco products regulations were positively related with European tobacco control levels of implementation both at the ecological and individual level.

Assessment of salivary cotinine concentration among general non-smokers population: Before and after Spanish smoking legislations.

BACKGROUND: In Spain, two smoke-free laws have been passed (Law 28/2005 and Law 42/2010).This study evaluates the association between Spanish smoking legislations and the second-hand smoke (SHS) exposure in an adult non-smoking population cohort in Barcelona (Spain). METHODS: This is a longitudinal study, before and after the implementation of two national smoking bans, in a representative sample of adults (≥16years old) from Barcelona (Spain) surveyed in 2004-2005 and followed up in 2013-2014 (n=736). We only analyzed non-smokers (n=397). We obtained 9ml of saliva sample for analysis of cotinine, a biomarker of recent tobacco exposure. We calculated geometric means of salivary cotinine concentration and their geometric standard deviation. We used linear mixed effect models, with individuals as random effects, to model the percentage change in salivary cotinine concentration and their 95% confidence intervals. RESULTS: The percentage of participants with saliva samples with measurable concentrations of cotinine fell from 92.4% to 64.2% after both Spanish smoking legislations. The geometric mean of salivary cotinine concentration significantly decreased 88% (from 0.98ng/mL to 0.12ng/mL, p<0.001) after the implementation of the two Spanish smoke-free legislations. The decrease of the GM salivary cotinine concentration was statistically significant independently of the sociodemographic variables. CONCLUSION: There was a large reduction in the salivary cotinine concentration among adult non-smokers and higher cotinine concentrations among those declaring exposure to SHS at home after both legislations. Moreover, after both Spanish smoke-free laws salivary cotinine concentration was homogenized according to sociodemographic variables.

Secondhand smoke risk perception and smoke-free rules in homes: a cross-sectional study in Barcelona (Spain).

OBJECTIVE: To describe the voluntary adoption of smoke-free homes in Spain among general population and to identify variables associated with its voluntary adoption. METHODS: Cross-sectional study of a representative sample (n=731) of the adult population (>26 years) of Barcelona, Spain, in 2013-2014. We defined smoking rules inside the households as complete indoor rules (when smoking was not allowed inside the house), and partial or absent indoor rules (when smoking was allowed in some designated places inside the house or when smoking was allowed everywhere) and described them according to the perceived risk of the secondhand smoke (SHS) exposure. We calculated the prevalence and prevalence ratios (PR) according to sociodemographic variables. RESULTS: 57.4% of households had complete indoor smoke-free rules. The prevalence of households with complete indoor rules was higher among women (PRa: 1.15; 95% CI 1.00 to 1.33), married (PRa: 1.18; 95% CI 1.01 to 1.38), never-smokers (PRa: 2.68; 95% CI 2.06 to 3.50) and in households where a minor lived (PRa: 1.40; 95% CI: 1.20-1.65). Believe that breathing tobacco smoke from smokers is dangerous for non-smokers (PRa: 1.77; 95% CI: 1.06-2.97) is associated with the voluntary adoption of complete indoor smoke-free home. CONCLUSIONS: Risk perceptions of SHS exposure were associated with the voluntary adoption of indoor smoke-free homes.

[FRAX® thresholds to identify people with high or low risk of osteoporotic fracture in Spanish female population]. / Umbrales de FRAX(®) para identificar personas con alto o bajo riesgo de fractura osteoporótica en población femenina española.

BACKGROUND AND OBJECTIVE: To detect FRAX(®) threshold levels that identify groups of the population that are at high/low risk of osteoporotic fracture in the Spanish female population using a cost-effective assessment. PATIENTS AND METHODS: This is a cohort study. Eight hundred and sixteen women 40-90 years old selected from the FRIDEX cohort with densitometry and risk factors for fracture at baseline who received no treatment for osteoporosis during the 10 year follow-up period and were stratified into 3 groups/levels of fracture risk (low<10%, 10-20% intermediate and high>20%) according to the real fracture incidence. RESULTS: The thresholds of FRAX(®) baseline for major osteoporotic fracture were: low risk<5; intermediate ≥ 5 to <7.5 and high ≥ 7.5. The incidence of fracture with these values was: low risk (3.6%; 95% CI 2.2-5.9), intermediate risk (13.7%; 95% CI 7.1-24.2) and high risk (21.4%; 95% CI12.9-33.2). The most cost-effective option was to refer to dual energy X-ray absorptiometry (DXA-scan) for FRAX(®)≥ 5 (Intermediate and high risk) to reclassify by FRAX(®) with DXA-scan at high/low risk. These thresholds select 17.5% of women for DXA-scan and 10% for treatment. With these thresholds of FRAX(®), compared with the strategy of opportunistic case finding isolated risk factors, would improve the predictive parameters and reduce 82.5% the DXA-scan, 35.4% osteoporosis prescriptions and 28.7% cost to detect the same number of women who suffer fractures. CONCLUSIONS: The use of FRAX ® thresholds identified as high/low risk of osteoporotic fracture in this calibration (FRIDEX model) improve predictive parameters in Spanish women and in a more cost-effective than the traditional model based on the T-score ≤ -2.5 of DXA scan.