Towards stronger tobacco control policies to curb the smoking epidemic in Spain.

Smoking and exposure to secondhand smoke pose a significant risk to the health of populations. Although this evidence is not new, the commitment of countries to implement laws aimed at controlling consumption and eliminating exposure to secondhand smoke is uneven. Thus, in North America or in Europe, locations like California or Ireland, are pioneers in establishing policies aimed at protecting the population against smoking and secondhand smoke. Identifying measures that have worked would help control this important Public Health problem in other countries that are further behind in tobacco control policies. In Spain, there has been almost 15 years of little political action in legislation oriented to control the tobacco epidemic. If we want to achieve the tobacco endgame, new legislative measures must be implemented. In this paper, we have elucidated tobacco control policies that could be implemented and show how different countries have done so.

Impact of psychological distress on mortality in Spain. The importance of early detection and treatment of mental disorders.

BACKGROUND: Mental health problems account for 14% of mortality worldwide. The aim of this study was to evaluate the association between psychological distress and mortality in the Spanish adult population. METHODS: Data came from a longitudinal study in population ≥15 years of age (n=21,005) who participated in the 2011-12 Spanish National Health Survey, which was linked to mortality records as of December 2020. Mental health was assessed with the GHQ-12, defining psychological distress as a dichotomous variable using a GHQ-12 score ≥3 as the cutoff point. Using Poisson regression, standardized mortality rate ratios (SRR) were estimated for all-cause, cardiovascular disease, and tumor-related mortality, adjusting for sociodemographic variables, lifestyles, and comorbidities. RESULTS: The standardized overall mortality rate in individuals with and without psychological distress was 14.58 and 10.90 per 1000 person-years, respectively, estimating an SRR of 1.34 (95%CI: 1.19-1.50). The SRR for tumor-related mortality was 1.17 (95%CI: 0.90-1.53), and cardiovascular-related mortality was related to higher distress (GHQ-12 ≥ 4): SRR of 1.22 (95%CI: 0.98-1.51). Among psychological distressed individuals, the overall mortality SRR for those with a previous mental disorder diagnosis was 1.18 (95%CI: 0.91-1.53) versus 1.34 (95%CI: 1.18-1.54) for those without such diagnosis (p for interaction=0.067). Similarly, distressed participants taking prescription drugs for mental disorders had a lower mortality risk than those not taking them (p for interaction=0.016). CONCLUSIONS: Individuals with psychological distress had a higher risk of overall-, cardiovascular disease- and tumor-related mortality. This association was higher among participants not previously diagnosed with a mental disorder and those not taking medication for mental issues.

Association between biomarkers of iron status and cardiometabolic risk in Spanish children aged 9-10 years. The ELOIN study.

The relationship between iron metabolism and cardiometabolic risk factors has been scarcely studied in children, and the results are controversial. The objective of this study was to evaluate the association between iron parameters and lipid, glycemic and blood pressure alterations in the pediatric population. This was a cross-sectional study of 1954 children between 9 and 10 years of age in Madrid (Spain), participants in a longitudinal study of childhood obesity. Iron metabolism parameters, i.e., serum iron (Is), ferritin (Fs), transferrin (Tf) and transferrin saturation (STf) and lipid, glycemic and blood pressure profiles were evaluated. Odds ratios (ORs) were estimated using logistic regression models adjusted for sociodemographic characteristics, diet, physical activity, C-reactive protein and body mass index. Compared with the participants in the low Is and STf tertiles, those in the upper tertiles had a lower risk of low HDL-Chol (OR: 0.34; 95%CI: 0.17; 0.67) and OR: 0.44 (95%CI: 0.23; 0.84), respectively, and children in the upper Fs tertile had an OR of 2.07 (95%CI: 1.16; 3.68) for low HDL-Chol. Children in the highest Is and STf tertiles had a lower risk of prediabetes [OR: 0.63 (95%CI: 0.41; 0.97) and OR: 0.53 (95%CI: 0.34; 0.82)] and insulin resistance (IR) (OR: 0.37; 95%CI: 0.22; 0.64), and those in the upper Tf tertile had a higher risk of IR (OR: 1.90; 95%CI: 1.16; 3.12). An increased risk of hypertension was found only in children in the upper Fs tertile (OR: 1.46; 95%CI: 1.01; 2.13). CONCLUSIONS: Biomarkers of iron metabolism are associated with cardiometabolic alterations in the pediatric population, with a variable direction and magnitude depending on the indicators used. WHAT IS KNOWN: • Iron metabolism is related to important cardiometabolic alterations such as metabolic syndrome and its components. • Association between biomarkers of iron status and cardiometabolic risk have been less explored in children. WHAT IS NEW: • Biomarkers of iron metabolism are associated with cardiometabolic alterations in the pediatric population. • Iron parameters in the pediatric population could be of great help to detect and prevent cardiometabolic abnormalities early.

Small-area models to assess the geographical distribution of tobacco consumption by sex and age in Spain.

INTRODUCTION: Complete and accurate data on smoking prevalence at a local level would enable health authorities to plan context-dependent smoking interventions. However, national health surveys do not generally provide direct estimates of smoking prevalence by sex and age groups at the subnational level. This study uses a small-area model-based methodology to obtain precise estimations of smoking prevalence by sex, age group and region, from a population-based survey. METHODS: The areas targeted for analysis consisted of 180 groups based on a combination of sex, age group (15-34, 35-54, 55-64, 65-74, and ≥75 years), and Autonomous Region. Data on tobacco use came from the 2017 Spanish National Health Survey (2017 SNHS). In each of the 180 groups, we estimated the prevalence of smokers (S), ex-smokers (ExS) and never smokers (NS), as well as their coefficients of variation (CV), using a weighted ratio estimator (direct estimator) and a multinomial logistic model with random area effects. RESULTS: When smoking prevalence was estimated using the small-area model, the precision of direct estimates improved; the CV of S and ExS decreased on average by 26%, and those of NS by 25%. The range of S prevalence was 11-46% in men and 4-37% in women, excluding the group aged ≥75 years. CONCLUSIONS: This study proposes a methodology for obtaining reliable estimates of smoking prevalence in groups or areas not covered in the survey design. The model applied is a good alternative for enhancing the precision of estimates at a detailed level, at a much lower cost than that involved in conducting large-scale surveys. This method could be easily integrated into routine data processing of population health surveys. Having such estimates directly after completing a health survey would help characterize the tobacco epidemic and/or any other risk factor more precisely.

Estimations of smoking-attributable mortality in Spain at a regional level: comparison of two methods.

PURPOSE: To estimate and discuss smoking-attributable mortality (SAM) for the 17 regions in Spain among the population aged ≥35 years in 2017, using two methods. METHODS: A descriptive analysis of SAM was conducted using two methods, the prevalence-independent method (PIM) and the prevalence-dependent method (PDM). Observed mortality was obtained from the National Institute of Statistics; smoking prevalence from three National Health Surveys; lung cancer mortality rates from the Cancer Prevention Study-II; and relative risks from five US cohorts. SAM and percentages of change were estimated for each region overall, by sex, age and cause of death. RESULTS: In 2017, tobacco caused 56,203 deaths in Spain applying the PIM. Using the PDM the number of deaths was 4.4% (95% CI: 3.4-5.5) lower (53,825 deaths). Except in four regions, the PIM estimated a higher overall SAM and the maximum percentage of change was 18.6%. Overall percentages of change were higher for women (15.7% 95% CI: 12.6-19.0) and for cardiovascular diseases-diabetes mellitus (13.8%; 95% CI: 11.5-16.2). CONCLUSIONS: At the national level, both methods estimate similar figures for SAM. However, the difference in estimates appears at the subnational level. Differences were higher in subgroups with lower smoking prevalence and for causes of death with periods of induction shorter than those for lung cancer.

Light cigarette smoking and all-cause mortality in Spain. A national population-based cohort study.

PURPOSE: Regular light cigarette consumption (light smoking) is increasing in many countries; however, few studies have assessed its impact on mortality. The main aim of this study is to estimate the association between the number of cigarettes consumed and all-cause mortality in Spain while focusing on light smoking. METHODS: Longitudinal study based on data from 42,902 individuals aged ≥15 years included in the 2011-2012 (Spanish) National Health Survey or the 2014 European Health Survey for Spain. Data were linked with the mortality registry up to December 2020. Multivariate Cox regression models were used to estimate hazard ratios (HR) adjusted for sociodemographic variables, lifestyle factors, and health status indicators. RESULTS: Compared to never smokers, the mortality HR for nondaily smokers was 1.30 (95% CI: 0.81-2.09), increasing to 2.23 (95% CI: 1.25-3.96) among those smoking 1-2 cigarettes/d, and to 1.54 (95%CI: 1.14-2.07) for consumers of 3-5 cigarettes/day. When individuals who reported trying to quit during the previous year were excluded, resulting HRs were 1.31 (95% CI: 0.81-2.10), 1.48 (95% CI: 0.69-3.19) and 1.64 (95% CI: 1.16-2.34), respectively. CONCLUSIONS: Compared to never smokers, consumers of small quantities of tobacco, that is, light smoking, had an increased mortality risk. In view of these results, we suggest the need for awareness-raising campaigns regarding how smoking even a small number of cigarettes a day causes serious harm to one´s health.

Trends in smoking-attributable mortality in Spain: 1990-2018.

BACKGROUND: This study sought to analyse the trend in smoking-attributable mortality (SAM) in Spain among the population aged ≥35 years across the period 1990-2018. METHODS: SAM was estimated by applying a prevalence-independent method, which uses lung cancer (LC) mortality as a proxy of tobacco consumption. We sourced observed mortality from the National Institute of Statistics (Spain), LC mortality rates in smokers and never smokers from the Cancer Prevention Study I-II, and relative risks from 5 US cohorts. Estimates of annual SAM by cause of death, sex and age are shown, along with crude and annual standardised SAM rates. The trend in standardised all-cause and LC rates was analysed using a joinpoint regression model. RESULTS: Tobacco caused 1 717 150 deaths in Spain in the period 1990-2018. Among men, cancers replaced cardiovascular diseases-diabetes mellitus (CVD-DM) as the leading group of tobacco-related cause of death in 1994. Among women, CVD-DM remained the leading cause of death throughout the period. Trend analysis of standardised SAM rates due to all causes and LC showed a decrease in men and an increase in women. CONCLUSIONS: The tobacco epidemic in Spain across the period 1990-2018 has had an important impact on mortality and has evolved differently in both genders. SAM is expected to increase dramatically in women in the coming years. SAM data highlight the importance of including a gender perspective in SAM analyses, in designing more effective and comprehensive public health interventions and in developing gender-specific tobacco control policies to curb tobacco consumption.

Rural-urban gradients and all-cause, cardiovascular and cancer mortality in Spain using individual data.

•The literature reporting on rural-urban health status disparities remains inconclusive.•We analyzed data from a longitudinal population-based study using individual observations.•Our results show that the risks of all-cause and cancer mortality are greater in large cities than in other municipalities, with no clear urban-rural gradient.•Not differences were found among territories in cardiovascular mortality.

Changes in obesity and iron deficiency between 4 and 9 years of age. Longitudinal study of childhood obesity (ELOIN).

BACKGROUND: Recent studies revealed that children who are overweight have a higher risk of iron deficiency, although the etiology of this relationship remains unclear. The aim of the study was to evaluate the association between changes in obesity status between 4 and 9 years of age and iron deficiency. SUBJECTS: This population-based cohort study included 1347 children from the ELOIN study, conducted in Madrid, Spain. Follow-up with physical examinations and a computer-assisted telephone interview were carried out at 4, 6 and 9 years of age, and a blood test was performed at 9 years. METHODS: Changes in obesity were estimated based on body mass index and waist circumference, according to the persistence or variation in obesity rates at 4, 6 and 9 years and were classified as follows: (1) Stable without obesity; (2) Remitting obesity at 9 years; (3) Incident obesity or relapse at 9 years; and (4) Stable with obesity. Iron deficiency was defined as transferrin saturation value below 16%. Odds ratios (ORs) for iron deficiency were estimated according to obesity status using logistic regression and adjusted for confounding variables, including C-reactive protein (CRP). RESULTS: The prevalence of iron deficiency in the stable general obesity (GO) and abdominal obesity (AO) groups was 38.2% and 41.2%, versus 23.6% and 23.4% in the stable without obesity groups, respectively. The ORs for iron deficiency were 1.85 (95% CI: 1.03-3.32) in the stable GO group and 2.34 (95% CI: 1.29-4.24) in the stable AO group. This association disappeared when CRP was included in the analysis. CONCLUSIONS: An extended state of obesity during the first stages of life is associated with iron deficiency, and this association may be mediated by CRP. Prevention and early detection of obesity in children should be a priority to avoid a double burden of malnutrition.

Physical and social environmental factors related to co-occurrence of unhealthy lifestyle behaviors.

Previous work identifying determinants of co-occurrence of behavioral risk factors have focused on their association with individuals' characteristics with scant attention paid to their relationship to contextual factors. Data came from 21,007 individuals ≥15 years of age who participated in the cross-sectional 2011-2012 Spanish National Health Survey. Two indicators were defined by tobacco consumption, alcohol intake, diet, physical activity, and body mass index. The first indicator, based on dichotomized measures, ranges from 0 to 5. The second one (unhealthy lifestyle index), ranges from 0 to 15, with 0 denoting the healthiest score. Among the determinants, we examined social support, five perceived characteristics of the neighborhood, and the socioeconomic deprivation index of the census tract of residence. Data were analyzed using multilevel linear and logistic regression models adjusted for the main sociodemographic characteristics. Using the dichotomized indicator, the probability of having 3-5 risk factors versus <3 factors was associated with low social support (Odds Ratio [OR] 1.50; 95% Confidence Interval [CI]: 1.25-1.80). Issues surrounding neighborhood cleanliness (OR = 1.18; 95%CI: 1.04-1.33), air pollution (OR = 1.38; 95%CI: 1.16-1.64), and street crime (OR = 1.21; 95%CI: 1.03-1.42) were associated with determinants of co-occurrence. Risk factors co-occurrence increased as deprivation level increased: the OR for the highest deprivation quintile versus the lowest was 1.30 (95%CI: 1.14-1.48). Similar results were observed when using the unhealthy lifestyle index. Poorer physical and social environments are related to greater co-occurrence of risk factors for chronic diseases. Health promotion interventions targeting the prevention of risk factors should consider the contextual characteristics of the neighborhood environment.

Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain.

BACKGROUND: The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes. METHODS: A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001-2003, and were followed-up to 2015 to ascertain incident type 2 diabetes. RESULTS: The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and - 8.23 (95% CI, - 16.34, - 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes. CONCLUSIONS: The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis.

Smoking during pregnancy: changes and associated risk factors in Spain, 1980-2016.

BACKGROUND: Trends for maternal smoking rates have varied substantially across industrialized countries. The objective was to describe how the prevalence of maternal smoking evolved in Spain during 1980-2016. METHODS: Data came from the Spanish Collaborative Study of Congenital Malformations. Our sample consisted of 40 934 mothers of newborns with no congenital defects from hospitals all across Spain. We estimated change points in trend and the mean annual change in smoking prevalence using 'joinpoint' regression. Relevant potential factors (age, country of birth, education, parity, planned pregnancy and alcohol consumption) were examined using multivariate logistic regression. RESULTS: Maternal smoking prevalence in 1980 and 2016 were 14.3% (95% confidence interval [CI]: 11.9-17.0) and 20.4% (95% CI: 15.9-25.8). We identified four periods with distinct trends: a sharp increase during the 80s, a plateau during the 90s, a decrease starting in 2000 and a slowdown of such decrease from 2009 on. Smoking was significantly higher among young women, Spain-born, with low education, unplanned pregnancy, and alcohol consumption. CONCLUSIONS: Currently in Spain maternal smoking remains very high. Tobacco consumption trend showed an increase during the 80s, a plateau during the 90s, and a reduction in the 2000s. Several sociodemographic and behavioural factors were associated to greater likelihood of smoking.

Smoking-attributable mortality in the autonomous communities of Spain, 2017.

INTRODUCTION AND OBJECTIVES: To estimate smoking-attributable mortality (SAM) in the regions of Spain among people aged ≥ 35 years in 2017. METHODS: SAM was estimated using a prevalence dependent method based calculating the population attributable fraction. Observed mortality was derived from the National Statistics Institute. The prevalence of smoking by age and sex was based on the Spanish National Health Survey for 2011 and 2017 and the European Survey for 2014. Relative risks were reported from the follow-up of 5 North American cohorts. SAM and population attributable fraction were estimated for each region by age group, sex, and causes of death. Cause-specific and adjusted SAM rates were estimated. RESULTS: Smoking caused 53 825 deaths in the population aged ≥ 35 years (12.9% of all-cause mortality). SAM ranged from 10.8% of observed mortality in La Rioja to 15.3% in the Canary Islands. The differences remained after rates were adjusted by age. The highest adjusted SAM rates were observed in Extremadura in men and in the Canary Islands in women. Adjusted SAM rates in men were inversely correlated with those in women. The percentage of total SAM represented by cardiovascular diseases in each region ranged from 21.8% in Castile-La Mancha to 30.3% in Andalusia. CONCLUSIONS: The distribution of SAM differed among regions. Conducting a detailed region-by-region analysis provides relevant information for health policies aiming to curb the impact of smoking.

Clustering of unhealthy lifestyle behaviors, self-rated health and disability.

The main objective was to identify sociodemographic characteristics of the population at risk for a greater clustering of unhealthy behaviors and to evaluate the association of such clustering with self-rated health status and disability. Data come from the 2017 Spanish National Health Survey with a sample of 21,947 participants of 15 years of age or older. Based on tobacco consumption, risk drinking, unbalanced diet, sedentarism, and body mass index <18.5/≥25 we created two indicators of risk factor clustering: 1) Number of unhealthy behaviors (0-5); and 2) Unhealthy lifestyle index (score: 0-15). Self-rated health was dichotomized into "optimal" and "suboptimal," and disability was classified as "no disability," "mild," and "severe" based on the Global Activity Limitation Index (GALI). We estimated prevalence ratios (PR) adjusted for covariates using generalized linear models using the clustering count variable, and dose-response curves using the unhealthy lifestyle index. Most participants (77.4%) reported 2 or more risk factors, with men, middle-age individuals, and those with low socioeconomic status being more likely to do so. Compared to those with 0-1 risk factors, the PR for suboptimal health was 1.26 (95% CI:1.18-1.34) for those reporting 2-3 factors, reaching 1.43 (95% CI:1.31-1.55) for 4-5 factors. The PR for severe activity limitation was 1.66 (95% CI:1.35-2.03) for those reporting 2-3 factors and 2.06 (95% CI:1.59-2.67) for 4-5 factors. The prevalence of both health indicators increased in a non-linear fashion as the unhealthy lifestyle index score increased, increasing rapidly up to 5 points, slowing down between 5 and 10 points, and plateauing afterwards.

Small area influences on the individual unhealthy lifestyle behaviors: A multilevel analysis of discriminatory accuracy.

We estimated the discriminatory power of area of residence (census tract) on the prevalence of main risk factors for chronic diseases. Results, based on a sample of 21,007 participants from the 2011-2012 National Health Survey of Spain, show a differential influence of the geosocial environment on the four health risk factors. Accounting for census tracts substantially increases the discriminatory power regarding at-risk alcohol consumption, unbalanced diet, and leisure-time sedentarism but not tobacco consumption. However, the socioeconomic characteristics of the tracts played a minor role. Further research on the specific geosocial contextual variables explaining variability in these risk factors is necessary.

Individual and Contextual Factors Associated With Hazardous Drinking in Spain: Evidence From a National Population-Based Study.

BACKGROUND: Heavy drinking (HD) and binge drinking (BD) exhibit marked differences in their relationships with contextual-level factors imbedded in geographical areas of residence. The objective is to identify sociodemographic factors, both at the individual and at the contextual level, associated with these 2 main hazardous consumption patterns. METHODS: Cross-sectional study using data from the 2011 to 2012 National Health Survey in Spain. The sample included 21,007 individuals ≥15 years of age. HD was defined as an alcohol intake of ≥40 g/d in men and ≥24 g/d in women. BD was defined as the consumption in the previous month of ≥6 alcoholic drinks (men) or ≥5 drinks (women) within 4 to 6 hours. Individual-level variables included sociodemographic factors, urban/rural residence, smoking, and perceived social support. Contextual-level variables covered percentage of population with no schooling, unemployment rate, and hospitality industry-related economic activity, all at the census tract level. We analyzed data using multilevel logistic regression and calculated areas under the curve (AUC). RESULTS: Being male, smoking, high-income, and low perceived social support were associated with both hazardous drinking patterns. Younger individuals were at higher risk for BD but at lower risk for HD. BD was more common among rural than urban dwellers (odds ratios [OR] = 1.35; 95% CI: 1.05 to 1.72), whereas HD was less likely in participants residing in areas with high unemployment rates (OR = 0.62; 95% CI: 0.41 to 0.93). HD was more likely in census tracts with higher levels of hospitality industry activity (OR = 1.74; 95% CI: 1.20 to 2.54). The AUC increased substantially for both HD and BD when the census tract variable was entered in the respective models (reaching 89.5 and 93.3%, respectively). CONCLUSIONS: Except for age, both drinking patterns have similar associations with individual-level variables but disparate links to contextual-level indicators. In both cases, accounting for area of residence substantially increased the ability to discriminate between high-risk drinkers from nonhazardous alcohol consumers.

Social inequalities in tobacco-attributable mortality in Spain. The intersection between age, sex and educational level.

INTRODUCTION: First study of social inequalities in tobacco-attributable mortality (TAM) in Spain considering the joint influence of sex, age, and education (intersectional perspective). METHODS: Data on all deaths due to cancer, cardiometabolic and respiratory diseases among people aged ≥35 years in 2016 were obtained from the Spanish Statistical Office. TAM was calculated based on sex-, age- and education-specific smoking prevalence, and on sex-, age- and disease-specific relative risks of death for former and current smokers vs lifetime non-smokers. As inequality measures, the relative index of inequality (RII) and the slope index of inequality (SII) were calculated using Poisson regression. The RII is interpreted as the relative risk of mortality between the lowest and the highest educational level, and the SII as the absolute difference in mortality. RESULTS: The crude TAM rate was 55 and 334 per 100,000 in women and men, respectively. Half of these deaths occurred among people with the lowest educational level (27% of the population). The RII for total mortality was 0.39 (95%CI: 0.35-0.42) in women and 1.61 (95%CI: 1.55-1.67) in men. The SII was -41 and 111 deaths per 100,000, respectively. Less-educated women aged <55 years and men (all ages) showed an increased mortality risk; nonetheless, less educated women aged ≥55 had a reduced risk. CONCLUSIONS: TAM is inversely associated with educational level in men and younger women, and directly associated with education in older women. This could be explained by different smoking patterns. Appropriate tobacco control policies should aim to reduce social inequalities in TAM.

Association between proximity to industrial chemical installations and cancer mortality in Spain.

It is likely that pollution from chemical facilities will affect the health of any exposed population; however, the majority of scientific evidence available has focused on occupational exposure rather than environmental. Consequently, this study assessed whether there could have been an excess of cancer-related mortality associated with environmental exposure to pollution from chemical installations - for populations residing in municipalities in the vicinity of chemical industries. To this end, we designed an ecological study which assessed municipal mortality due to 32 types of cancer in the period from 1999 to 2008. The exposure to pollution was estimated using distance from the facilities to the centroid of the municipality as a proxy for exposure. In order to assess any increased cancer mortality risk in municipalities potentially exposed to chemical facilities pollution (situated at a distance of ≤5 km from a chemical installation), we employed Bayesian Hierarchical Poisson Regression Models. This included two Bayesian inference methods: Integrated Nested Laplace Approximations (INLA) and Markov Chain Monte Carlo (MCMC, for validation). The reference category consisted of municipalities beyond the 5 km limit. We found higher mortality risk (relative risk, RR; estimated by INLA, 95% credible interval, 95%CrI) for both sexes for colorectal (RR, 1.09; 95%CrI, 1.05-1.15), gallbladder (1.14; 1.03-1.27), and ovarian cancers (1.10; 1.02-1.20) associated with organic chemical installations. Notably, pleural cancer (2.27; 1.49-3.41) in both sexes was related to fertilizer facilities. Associations were found for women, specifically for ovarian (1.11; 1.01-1.22) and breast cancers (1.06; 1.00-1.13) in the proximity of explosives/pyrotechnics installations; increased breast cancer mortality risk (1.10; 1.03-1.18) was associated with proximity to inorganic chemical installations. The results suggest that environmental exposure to pollutants from some types of chemical facilities may be associated with increased mortality from several different types of cancer.

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.

Changes in Alcohol Intake During Pregnancy in Spain, 1980 to 2014.

BACKGROUND: Even small amounts of alcohol consumed during pregnancy can have adverse effects on the embryo and the fetus. We estimated how alcohol intake among pregnant women in Spain changed between 1980 and 2014, and identified factors associated with alcohol use. METHODS: Data came from the Spanish Collaborative Study of Congenital Malformations (ECEMC). The sample includes ECEMC's control mothers, 40,268 pregnant women from all regions of Spain. We classified alcohol consumption during pregnancy into 3 categories: no consumption; sporadic consumption of small amounts of alcohol; and regular consumption, or sporadic but in large quantities including drunkenness. Independent variables included sociodemographic factors, planned/unplanned pregnancy, maternal chronic diseases, gestational diabetes, and tobacco and illegal drug use during pregnancy. Trend analyses were performed using data from 1980 to 2014. The multinomial logistic regression models designed to identify associated factors differentiated between 2 periods: 1994 to 2004 and 2005 to 2014. RESULTS: Prevalence of alcohol consumption declined from 29.6% (95% CI: 27.1 to 32.2) in 1980 to 5.4% (95% CI: 3.7 to 7.6) in 2014, mostly due to the reduction in regular intake. This decline was especially acute between 1980 and 1994. Sporadic and regular consumption increased among women working outside the home, born outside Spain, those whose pregnancy was unplanned, and those reporting using tobacco or other drugs. Comparing 1994 to 2004 versus 2005 to 2014, a stronger association was observed between regular alcohol consumption and tobacco consumption in the latter period (interaction p = 0.003). CONCLUSIONS: Alcohol consumption among expectant mothers has declined substantially in the last 35 years. However, it is worth highlighting the significant and substantial associations between alcohol use and consumption of tobacco, which have become stronger in the most recent years.