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Abstract Background The economic crisis that began in 2008 has severely affected Southern (Greece, Italy, Portugal, Spain) Western European (SWE) countries of Western Europe (WE) and may have affected ongoing efforts to eliminate viral hepatitis. This study was conducted to investigate the impact of the economic crisis on the burden of HBV and HCV disease. Methods Global Burden of Diseases 2019 data were used to analyse the rates of epidemiological metrics of HBV and HCV acute and chronic infections in SWE and WE. Time series modelling was performed to quantify the impact of healthcare expenditure on the time trend of HBV and HCV disease burden in 2000–2019. Results Declining trends in incidence and prevalence rates of acute HBV (aHBV) and chronic HBV were observed in SWE and WE, with the pace of decline being slower in the post-austerity period (2010–2019) and mortality due to HBV stabilised in SWE. Acute HCV (aHCV) metrics and chronic HCV incidence and mortality showed a stable trend in SWE and WE, whereas the prevalence of chronic HCV showed an oscillating trend, decreasing in WE in 2010–2019 (p

Abstract Background Traffic exposure has been associated with biomarkers of increased biological ageing, age-related chronic morbidities, and increased respiratory, cardiovascular, and all-cause mortality. Whether it is associated with functional impairments and unhealthy ageing trajectories is unknown. Methods Nationally representative population-based cohort with 3,126 community-dwelling individuals aged ≥60 years who contributed 8,291 biannual visits over a 10 year period. Unhealthy ageing was estimated with a deficit accumulation index (DAI) based on the number and severity of 52 health deficits, including 22 objectively-measured impairments in physical and cognitive functioning. Differences in DAI at each follow-up across quintiles of residential traffic density (RTD) at 50 and 100 meters, and closest distance to a petrol station, were estimated using flexible marginal structural models with inverse probability of censoring weights. Models were adjusted for sociodemographic and time-varying lifestyle factors, social deprivation index at the census tract and residential exposure to natural spaces. Results At baseline, the mean (SD) age and DAI score of the participants were 69.0 (6.6) years and 17.02 (11.0) %, and 54.0% were women. The median (IQR) RTD at 50 and 100 meters were 77 (31-467) and 509 (182-1802) vehicles/day, and the mean (SD) distance to the nearest petrol station of 962 (1317) meters. The average increase in DAI (95%CI) for participants in quintiles Q2-Q5 (vs Q1) of RTD at 50 meters was of 1.51 (0.50, 2.53), 0.98 (-0.05, 2.01), 2.20 (1.18, 3.21) and 1.98 (0.90, 3.05), respectively. Consistent findings were observed at 100 meters. By domains, most of the deficits accumulated with increased RTD were of a functional nature, although RTD at 50 meters was also associated with worse self-reported health, increased vitality problems and higher incidence of chronic morbidities. Living closer to a petrol station was associated with a higher incidence of functional impairments and chronic morbidities. Conclusions Exposure to nearby residential traffic is associated with accelerated trajectories of unhealthy ageing. Diminishing traffic pollution should become a priority intervention for adding healthy years to life in the old age.

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Introduction: The impact of residential green spaces on cardiovascular health in older adults remains uncertain. Methods: Cohort study involving 2114 adults aged ≥ 65 years without cardiovascular disease (CVD), residing in five dense municipalities (Prince et al., 2015) of the Madrid region and with detailed characterization of their socioeconomic background, health behaviors, CVD biological risk factors, and mental, physical, and cognitive health. Greenness exposure was measured using the Normalized Difference Vegetation Index (NDVI) at varying distances from participants' homes. Traffic exposure, neighborhood environment, neighborhood walkability, and socioeconomic deprivation at the census level were also assessed. Serum N-terminal pro-B-type natriuretic peptide (NT-ProBNP), high-sensitivity troponin T (hs-TnT), interleukin 6 (IL-6), and Growth Differentiation Factor 15 (GDF‐15) were measured at baseline, and incident CVD events identified through electronic medical records (International Classification of Primary Care-2 codes K74, K75, K77, K90, and K92). Results: After adjusting for sex, age, educational attainment, financial hardship and socioeconomic deprivation at the census level, an interquartile range (IQR) increase in NDVI at 250, 500, 750, and 1000 m around participants' homes was associated with mean differences in ProBNP of −5.56 % (95 %CI: −9.77; −1.35), −5.05 % (-9.58; −0.53), −4.24 % (-8.19, −0.19), and −4.16 % (-7.59; −0.74), respectively; and mean differences in hs-TnT among diabetic participants of −8.03 % (95 %CI: −13.30; −2.77), −9.52 % (-16.08; −2.96), −8.05 % (-13.94, −2.16) and −5.56 % (-10.75; −0.54), respectively. Of similar magnitude, although only statistically significant at 250 and 500 m, were the observed lower IL-6 levels with increasing greenness. GDF-15 levels were independent of NDVI. In prospective analyses (median follow-up 6.29 years), an IQR increase in residential greenness at 500, 750, and 1000 m was associated with a lower risk of incident CVD. The variables that contributed most to the apparent beneficial effects of greenness on CVD were lower exposure to traffic, improved cardiovascular risk factors, and enhanced physical performance. Additionally, neighborhood walkability and increased physical activity were notable contributors among individuals with diabetes. Conclusion: Increased exposure to residential green space was associated with a moderate reduction in CVD risk in older adults residing in densely populated areas.

Leukemia is the most common childhood cancer and its etiology could be related to various environmental contaminants such as particulate matter (PM). The objective of our study is to evaluate the potential association between exposure to PM during pregnancy and the incidence of childhood leukemia. We established a population-based nationwide cohort using the Spanish Birth Registry Statistics database of the National Statistics Institute. We used spatiotemporal land use random forest models to estimate the concentrations of PM10 and PM2.5 for the entire pregnancy and by trimesters. We conducted logistic regression analyses adjusted for various covariates. In addition, we fitted generalized additive models (GAMs) to estimate the non-linear relationship between PM levels and leukemia incidence. The study included 3,112,123 children and 1066 cases of leukemia. The results for the continuous variable of PM10 exposure levels suggested an increased risk of childhood leukemia to be associated with higher exposure. The results for the categorized PM10 variable suggest an increased risk of childhood leukemia among pregnant women whose exposure levels were higher than the median (third and fourth quartiles). The results for PM2.5 were weaker. We found association between exposure to PM10 during pregnancy and an increased risk of childhood leukemia. Our findings indicate that public health interventions should aim to reduce air pollution to lower the incidence of childhood leukemia.

Objectives To compare the environmental health results in women trying to get pregnant or pregnant using a mobile health application (Green Page) through healthcare professionals or self-completed by women, and to explore the relationship between the subjective well-being of these women with their lifestyles and environmental factors. Methods A descriptive study with mixed methods was conducted in 2018. A mobile health survey was used in two phases. Phase 1 was a cross-sectional study through professionals ( n = 1100) followed by phase 2, a convenience sampling through women's self-reporting ( n = 3425). A personalized report was downloadable with health recommendations for the well-being of the mother and child. Results Of the 3205 participants (mean age = 33 years, SD = 0.2 years), 1840 were planning a pregnancy and 1365 were pregnant. One in five pregnant women had a low level of happiness. Globally, subjective well-being and happiness were found to be negatively associated with lack of contact with nature, sedentary lifestyle, excess weight, environmental exposure, and older age in pregnancy. Precisely 45%, 60%, and 14% of women were exposed to tobacco, alcohol, and illegal drugs, respectively. The women self-reported levels of risk factors higher than when the tool was used by or through professionals. Conclusions The use of mobile health interventions focused on environmental health during planning or pregnancy periods could help improve the quality of healthcare and foster greater involvement of women in their self-care process, thus promoting empowerment, healthier environments, and lifestyles. Ensuring equity of access and data protection are global challenges to be addressed.

Exposure to traffic-related air pollution (TRAP) generates oxidative stress, with downstream effects at the metabolic level. Human studies of traffic density and metabolomic markers, however, are rare. The main objective of this study was to evaluate the cross-sectional association between traffic density in the street of residence with oxidative stress and metabolomic profiles measured in a population-based sample from Spain. We also explored in silico the potential biological implications of the findings. Secondarily, we assessed the contribution of oxidative stress to the association between exposure to traffic density and variation in plasma metabolite levels. Traffic density was defined as the average daily traffic volume over an entire year within a buffer of 50 m around the participants’ residence. Plasma metabolomic profiles and urine oxidative stress biomarkers were measured in samples from 1181 Hortega Study participants by nuclear magnetic resonance spectroscopy and high-performance liquid chromatography, respectively. Traffic density was associated with 7 (out of 49) plasma metabolites, including amino acids, fatty acids, products of bacterial and energy metabolism and fluid balance metabolites. Regarding urine oxidative stress biomarkers, traffic associations were positive for GSSG/GSH% and negative for MDA. A total of 12 KEGG pathways were linked to traffic-related metabolites. In a protein network from genes included in over-represented pathways and 63 redox-related candidate genes, we observed relevant proteins from the glutathione cycle. GSSG/GSH% and MDA accounted for 14.6% and 12.2% of changes in isobutyrate and the CH2CH2CO fatty acid moiety, respectively, which is attributable to traffic exposure. At the population level, exposure to traffic density was associated with specific urine oxidative stress and plasma metabolites. Although our results support a role of oxidative stress as a biological intermediary of traffic-related metabolic alterations, with potential implications for the co-bacterial and lipid metabolism, additional mechanistic and prospective studies are needed to confirm our findings.

BackgroundSocial restrictions and vaccination seem to have shaped the pandemic development in Europe, but the influence of geographical position is still debated. This study aims to verify whether the pandemic spread through Europe following a particular direction, during the period between the start of the pandemic and November 2021. The existence of a spatial gradient for epidemic intensity is also hypothesized.MethodsDaily COVID-19 epidemiological data were extracted from Our World in Data COVID-19 database, which also included vaccination and non-pharmacological interventions data. Latitude and longitude of each country's centroid were used as geographic variables. Epidemic periods were delimited from epidemic surge data. Multivariable linear and Cox's regression models were performed for each epidemic period to test if geographical variables influenced surge dates. Generalized additive models (GAM) were used to test the spatial gradient hypothesis with three epidemic intensity measures.ResultsLinear models suggest a possible west-east shift in the first epidemic period and features a significant association of NPIs with epidemic surge delay. Neither latitude nor longitude had significant associations with epidemic surge timing in both second and third periods. Latitude displays strong negative associations with all epidemic intensity measures in GAM models. Vaccination was also negatively associated with intensity.ConclusionsA longitudinal spread of the pandemic in Europe seems plausible, particularly concerning the first wave. However, a recurrent trend was not observed. Southern Europe countries may have experienced increased transmissibility and incidence, despite climatic conditions apparently unfavourable to the virus.

Abstract Background On June 21st de-escalation measures and state-of-alarm ended in Spain after the COVID-19 first wave. New surveillance and control strategy was set up to detect emerging outbreaks. Aim To detect and describe the evolution of COVID-19 clusters and cases during the 2020 summer in Spain. Methods A near-real time surveillance system to detect active clusters of COVID-19 was developed based on Kulldorf’s prospective space-time scan statistic (STSS) to detect daily emerging active clusters. Results Analyses were performed daily during the summer 2020 (June 21st – August 31st) in Spain, showing an increase of active clusters and municipalities affected. Spread happened in the study period from a few, low-cases, regional-located clusters in June to a nationwide distribution of bigger clusters encompassing a higher average number of municipalities and total cases by end-August. Conclusion STSS-based surveillance of COVID-19 can be of utility in a low-incidence scenario to help tackle emerging outbreaks that could potentially drive a widespread transmission. If that happens, spatial trends and disease distribution can be followed with this method. Finally, cluster aggregation in space and time, as observed in our results, could suggest the occurrence of community transmission.

Resumen: Introducción: La contaminación atmosférica urbana es una amenaza principal para la salud infantojuvenil. Los niños son más vulnerables a sus efectos asociando mayor morbimortalidad de enfermedades agudas y crónicas, especialmente respiratorias. Pretendemos estudiar los efectos de la contaminación atmosférica urbana en la tasa de ingresos hospitalarios por causa aguda respiratoria. Pacientes y métodos: Estudio ecológico durante 2015 de las visitas con patología respiratoria (CIE-9) de urgencias hospitalarias en menores de 17 años en el municipio de la ciudad de Murcia. Regresión logística para el riesgo de ingreso hospitalario entre las consultas en relación con los niveles promedios diarios de contaminantes ambientales (NO2, O3, PM10, SO2) obtenidas de la Red de Vigilancia y Control de la Calidad del Aire de la Región de Murcia. Otras variables de control: sexo, edad, temperatura ambiental media diaria, y estación del año. Resultados: Un total de 12354 niños consultaron en urgencias por patología respiratoria, 56% niños y 44% niñas. Ingresaron el 3,5%, con edad media de 2,54 (IC95% 2,16-2,91) años. Para el riesgo de ingreso hospitalario por enfermedades respiratorias: NO2 1,02 (IC95% 1,01-1,04; p

Introduction: Urban air pollution (UAP) is a major threat to child and adolescent health. Children are more vulnerable to its effects, being associated with higher morbidity and mortality due to acute and chronic diseases, especially respiratory ones. A study is performed on the relationship between UAP and the rate of hospital admissions due to acute respiratory diseases. Patients and methods: An ecological study was conducted on young people under 19 years-old in the city of Murcia, who had visited hospital emergency departments due to respiratory diseases (ICD-9) during 2015. A logistic regression was performed on the risk of hospital admission that included consultations in relation to the average daily levels of environmental pollutants (NO2, O3, PM10, SO2) obtained from the Air Quality Surveillance and Control network of the Region of Murcia. Other control variables, such as gender, age, average daily ambient temperature, and season of the year. Results: A total of 12,354 (56% boys and 44% girls) children consulted in the emergency department for respiratory disease. Of those, 3.5% were admitted, with a mean age of 2.54 (95% CI; 2.16−2.91) years. The Odds Ratio (OR) of hospital admission for respiratory diseases: NO2 1.02 (95% CI; 1.01–1.04; P

Abstract Background Environmental exposures are related to the risk of some types of cancer, and children are the most vulnerable group of people. This study seeks to present the methodological approaches used in the papers of our group about risk of childhood cancers in the vicinity of pollution sources (industrial and urban sites). A population-based case–control study of incident childhood cancers in Spain and their relationship with residential proximity to industrial and urban areas was designed. Two methodological approaches using mixed multiple unconditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) were developed: (a) “near vs. far” analysis, where possible excess risks of cancers in children living near (“near”) versus those living far (“far”) from industrial and urban areas were assessed; and (b) “risk gradient” analysis, where the risk gradient in the vicinity of industries was assessed. For each one of the two approaches, three strategies of analysis were implemented: “joint”, “stratified”, and “individualized” analysis. Incident cases were obtained from the Spanish Registry of Childhood Cancer (between 1996 and 2011). Results Applying this methodology, associations between proximity (≤ 2 km) to specific industrial and urban zones and risk (OR; 95% CI) of leukemias (1.31; 1.04–1.65 for industrial areas, and 1.28; 1.00–1.53 for urban areas), neuroblastoma (2.12; 1.18–3.83 for both industrial and urban areas), and renal (2.02; 1.16–3.52 for industrial areas) and bone (4.02; 1.73–9.34 for urban areas) tumors have been suggested. Conclusions The two methodological approaches were used as a very useful and flexible tool to analyze the excess risk of childhood cancers in the vicinity of industrial and urban areas, which can be extrapolated and generalized to other cancers and chronic diseases, and adapted to other types of pollution sources.

The province of Cadiz, Spain, is a highly industrialized area with numerous registered industrial plants, which has led to major concern regarding the possible influence of these facilities on the high rate of cancer-related mortality observed. Our objective was to evaluate the association between digestive cancer mortality and proximity to industrial installations in the province of Cadiz over the period 1992-2014 and to analyse this risk according to different categories of carcinogenic substances. An ecological study at the census tract level was carried out. Mortality due to digestive cancer (involving the oral cavity, pharynx, oesophagus, stomach, liver, pancreas, gallbladder, colon and rectum) was analysed. Using the spatial Besag, York and Mollié (BYM) approach, we assessed the relative risk of dying from these cancers for people living between 500 m and 5 km from industrial installations. The models were adjusted to account for socioeconomic deprivation. We detected a significant, excess risk of dying due to cancer in the following organs (expressed as relative risk with 95% confidence intervals): colon/rectum (1.13; 1.04-1.22 at 4 km), stomach (1.13; 1.00-1.29 at 2 km), liver (1.28; 1.02-1.61 at 1 km), pancreas (1.19; 1.03-1.39 at 2 km), oral and pharyngeal (1.40; 1.08-1.82 at 1 km), oesophagus (2.05; 1.18-3.56 at 500 m) and gallbladder (2.80; 1.14-6.89 at 500 m) for men; and from colorectal (1.21; 1.00-1.46 at 1 km), stomach (1.15; 1.01-1.31 at 4 km) and liver (1.58; 1.20- 2.07 at 1 km) cancers for women. The results support the hypothesis of an association between several digestive cancers and proximity to polluting industrial plants.

INTRODUCTION:Geographical variations in cancer mortality can be explained, in part, by their association with social inequalities. The objective of our study was to analyse the spatial pattern of mortality in relation to the most common causes of cancer in the Spanish autonomous community of Andalusia and its possible association with social inequalities. MATERIALS AND METHODS:A small area cross-sectional study in Andalusia, with census tracts as units of spatial analysis, for the period 2002-2013. Cases and person-years, sex and age group came from the Longitudinal Population Database of Andalusia. Standardized mortality rates and smoothed risk ratios were calculated using the Besag, York and Mollié model for lung, colorectal, breast, prostate, bladder and stomach cancer. In order to evaluate the association with social inequalities we included the deprivation index of the census tract as a covariate. RESULTS:The results show an East-West mortality pattern with higher risk in the west for lung and bladder cancer among men, and breast cancer among women. For all of Andalusia, the association between deprivation index of the census tract and mortality relative risks is positive and significant for lung, stomach and bladder cancers in men, while in women we observed a negative association for lung cancer and a positive for stomach cancer. CONCLUSIONS:Knowledge regarding the spatial distribution of cancer mortality and the socioeconomic inequalities related should contribute to the design of specific health and social policies-aimed at tackling cancer mortality and social inequalities in areas of high mortality and/or levels of deprivation.

Background: Current evidence suggests that childhood leukaemia can be associated with residential traffic exposure; nevertheless, more results are needed to support this conclusion. Objectives: To ascertain the possible effects of residential proximity to road traffic on childhood leukaemia, taking into account traffic density, road proximity and the type of leukaemia (acute lymphoid leukaemia or acute myeloid leukaemia). Methods: We conducted a population-based case-control study of childhood leukaemia in Spain, covering the period 1990–2011. It included 1061 incidence cases gathered from the Spanish National Childhood Cancer Registry and those Autonomous Regions with 100% coverage, and 6447 controls, individually matched by year of birth, sex and autonomous region of residence. Distances were computed from the respective participant's residential locations to the different types of roads and four different buffers. Using logistic regression, odds ratios (ORs) and 95% confidence intervals (95%CIs), were calculated for four different categories of distance to roads. Results: Cases of childhood leukaemia had more than three-fold increased odds of living at

Resumen: En un mundo cada vez más tecnológico e interconectado, pero también más violento, esquilmado y contaminado, la salud medioambiental pediátrica (SMAP) constituye una de las mejores contribuciones para mejorar la salud global. Pocas zonas del planeta tienen una afinidad tan alta en valores e intereses como la Unión Europea (UE), América Latina y el Caribe (ALC). Las inversiones y actuaciones de la SMAP en periodos pre y posnatales durante las dos primeras décadas de vida generarán incontables beneficios en la salud y en el bienestar general en todas las épocas posteriores de la vida. Detectar, disminuir o eliminar los contaminantes físicos, químicos, biológicos y sociales es una de las principales misiones y acciones de la SMAP. En este artículo especial describimos, actualizamos y divulgamos las amenazas, los desafíos y las oportunidades de cooperación en la SMAP entre los profesionales biosanitarios y restantes sectores sociales implicados de la UE y de ALC. Surgen nuevos perfiles profesionales, estructuras de conocimiento y arquitecturas para el compromiso. Se requerirán liderazgos valientes, nuevos recursos sustanciales, amplios cambios sociales y la necesaria colaboración entre ambas regiones para mejorar la salud de las generaciones presentes y futuras. Abstract: In a world that is increasingly technological and interconnected, but also more violent, overexploited and polluted, Paediatric Environmental Health (PEH) is one of the best contributions to improve global health. Few areas of the planet have a high affinity with common values and interests, such as the European Union (EU), Latin America and the Caribbean (LAC). The investments and actions of the PEH in pre- and postnatal periods during the first two decades of life will generate countless benefits in the health and well-being during the human life span. Detecting, reducing, or eliminating physical, chemical, biological and social pollutants is one of the main missions and actions of the PEH. In this special article, an update review is presented on the threats, challenges and cooperation opportunities in PEH among bio-health professionals and other social sectors involved, from the EU and LAC. New professional profiles, knowledge structures and architectures for engagement emerge. Courageous leaderships, new substantial resources, broad social changes, and the necessary collaboration between the two regions will be required to improve the health of present and future generations.

In a world that is increasingly technological and interconnected, but also more violent, overexploited and polluted, Paediatric Environmental Health (PEH) is one of the best contributions to improve global health. Few areas of the planet have a high affinity with common values and interests, such as the European Union (EU), Latin America and the Caribbean (LAC). The investments and actions of the PEH in pre- and postnatal periods during the first two decades of life will generate countless benefits in the health and well-being during the human life span. Detecting, reducing, or eliminating physical, chemical, biological and social pollutants is one of the main missions and actions of the PEH. In this special article, an update review is presented on the threats, challenges and cooperation opportunities in PEH among bio-health professionals and other social sectors involved, from the EU and LAC. New professional profiles, knowledge structures and architectures for engagement emerge. Courageous leaderships, new substantial resources, broad social changes, and the necessary collaboration between the two regions will be required to improve the health of present and future generations. Resumen: En un mundo cada vez más tecnológico e interconectado, pero también más violento, esquilmado y contaminado, la salud medioambiental pediátrica (SMAP) constituye una de las mejores contribuciones para mejorar la salud global. Pocas zonas del planeta tienen una afinidad tan alta en valores e intereses como la Unión Europea (UE), América Latina y el Caribe (ALC). Las inversiones y actuaciones de la SMAP en periodos pre y posnatales durante las dos primeras décadas de vida generarán incontables beneficios en la salud y en el bienestar general en todas las épocas posteriores de la vida. Detectar, disminuir o eliminar los contaminantes físicos, químicos, biológicos y sociales es una de las principales misiones y acciones de la SMAP. En este artículo especial describimos, actualizamos y divulgamos las amenazas, los desafíos y las oportunidades de cooperación en la SMAP entre los profesionales biosanitarios y restantes sectores sociales implicados de la UE y de ALC. Surgen nuevos perfiles profesionales, estructuras de conocimiento y arquitecturas para el compromiso. Se requerirán liderazgos valientes, nuevos recursos sustanciales, amplios cambios sociales y la necesaria colaboración entre ambas regiones para mejorar la salud de las generaciones presentes y futuras.

BACKGROUND:Central nervous system tumors (CNS) are the most frequent solid tumor in children. Causes of CNS tumors are mainly unknown and only 5% of the cases can be explained by genetic predisposition. We studied the effects of environmental exposure on the incidence of CNS tumors in children by subtype, according to exposure to industrial and/or urban environment, exposure to crops and according to socio-economic status of the child. METHODS:We carried out a population-based case-control study of CNS tumors in Spain, covering 714 incident cases collected from the Spanish Registry of Childhood Tumors (period 1996-2011) and 4284 controls, individually matched by year of birth, sex, and autonomous region of residence. We built a covariate to approximate the exposure to industrial and/or urban environment and a covariate for the exposure to crops (GCI) using the coordinates of the home addresses of the children. We used the 2001 Census to obtain information about socio-economic status (SES). We fitted logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (95%CIs). RESULTS:The results for all CNS tumors showed an excess risk (OR = 1.37; 95%CI = 1.09-1.73) for SES, i.e., children living in the least deprived areas had 37% more risk of CNS tumor than children living in the most deprived areas. For GCI, an increase of 10% in crop surface in the 1-km buffer around the residence implied an increase of 22% in the OR (OR = 1.22; 95%CI = 1.15-1.29). Children living in the intersection of industrial and urban areas could have a greater risk of CNS tumors than children who live outside these areas (OR = 1.20; 95%CI = 0.82-1.77). Living in urban areas (OR = 0.90; 95%CI = 0.65-1.24) or industrial areas (OR = 0.96; 95%CI = 0.81-1.77) did not seem to increase the risk for all CNS tumors together. By subtype, Astrocytomas, Intracranial and intraspinal embryonal tumors, and other gliomas showed similar results. CONCLUSION:Our results suggest that higher socioeconomic status and exposure to crops could increase the risk of CNS tumors in children.

Cluster detection has become an important part of the agenda of epidemiologists and public health authorities, the identification of high- and low-risk areas is fundamental in the definition of public health strategies and in the suggestion of potential risks factors. Currently, there are different cluster detection techniques available, the most popular being those using windows to scan the areas within the studied region. However, when these areas are heterogeneous in populations’ sizes, scan window methods can lead to inaccurate conclusions. In order to perform cluster detection over heterogeneously populated areas, we developed a method not based on scanning windows but instead on standard mortality ratios (SMR) using irregular spatial aggregation (ISA). Its extension, i.e. irregular spatial aggregation with covariates (ISAC), includes covariates with residuals from Poisson regression. We compared the performance of the method with the flexible shaped spatial scan statistic (FlexScan) using mortality data for stomach and bladder cancer for 8,098 Spanish towns. The results show a collection of clusters for stomach and bladder cancer similar to that detected by ISA and FlexScan. However, in general, clusters detected by FlexScan were bigger and include towns with SMR, which were not statistically significant. For bladder cancer, clusters detected by ISAC differed from those detected by ISA and FlexScan in shape and location. The ISA and ISAC methods could be an alternative to the traditional scan window methods for cluster detection over aggregated data when the areas under study are heterogeneous in terms of population. The simplicity and flexibility of the methods make them more attractive than methods based on more complicated algorithms.

Background: Waste treatment plants release toxic emissions into the environment which affect neighboring towns. Objectives: To investigate whether there might be excess cancer mortality in towns situated in the vicinity of Spanish-based incinerators and installations for the recovery or disposal of hazardous waste, according to the different categories of industrial activity. Methods: An ecologic study was designed to examine municipal mortality due to 33 types of cancer, across the period 1997–2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Using Besag–York–Mollié (BYM) regression models with Integrated Nested Laplace approximations for Bayesian inference, and Mixed Poisson regression models, we assessed the risk of dying from cancer in a 5-kilometer zone around installations, analyzed the effect of category of industrial activity, and conducted individual analyses within a 50-kilometer radius of each installation. Results: Excess cancer mortality (BYM model: relative risk, 95% credible interval) was detected in the total population residing in the vicinity of these installations as a whole (1.06, 1.04–1.09), and, principally, in the vicinity of incinerators (1.09, 1.01–1.18) and scrap metal/end-of-life vehicle handling facilities, in particular (1.04, 1.00–1.09). Special mention should be made of the results for tumors of the pleura (1.71, 1.34–2.14), stomach (1.18, 1.10–1.27), liver (1.18, 1.06–1.30), kidney (1.14, 1.04–1.23), ovary (1.14, 1.05–1.23), lung (1.10, 1.05–1.15), leukemia (1.10, 1.03–1.17), colon–rectum (1.08, 1.03–1.13) and bladder (1.08, 1.01–1.16) in the vicinity of all such installations. Conclusions: Our results support the hypothesis of a statistically significant increase in the risk of dying from cancer in towns near incinerators and installations for the recovery or disposal of hazardous waste. Keywords: Cancer mortality, Waste treatment, Incinerators, End-of-life vehicles, INLA, BYM model

Background: Prostate cancer is the second most common type of cancer among men but its aetiology is still largely unknown. Different studies have proposed several risk factors such as ethnic origin, age, genetic factors, hormonal factors, diet and insulin-like growth factor, but the spatial distribution of the disease suggests that other environmental factors are involved. This paper studies the spatial distribution of prostate cancer mortality in an industrialized area using distances from each of a number of industrial facilities as indirect measures of exposure to industrial pollution. Materials and methods: We studied the Gran Bilbao area (Spain) with a population of 791,519 inhabitants distributed in 657 census tracts. There were 20 industrial facilities within the area, 8 of them in the central axis of the region. We analysed prostate cancer mortality during the period 1996–2003. There were 883 deaths giving a crude rate of 14 per 100,000 inhabitants.We extended the standard Poisson regression model by the inclusion of a multiplicative non-linear function to model the effect of distance from an industrial facility. The function's shape combined an elevated risk close to the source with a neutral effect at large distance. We also included socio-demographic covariates in the model to control potential confounding. Results: We aggregated the industrial facilities by sector: metal, mineral, chemical and other activities. Results relating to metal industries showed a significantly elevated risk by a factor of approximately 1.4 in the immediate vicinity, decaying with distance to a value of 1.08 at 12 km. The remaining sectors did not show a statistically significant excess of risk at the source. Discussion: Notwithstanding the limitations of this kind of study, we found evidence of association between the spatial distribution of prostate cancer mortality aggregated by census tracts and proximity to metal industrial facilities located within the area, after adjusting for socio-demographic characteristics at municipality level. Keywords: Prostate cancer, Environmental exposure, Industrial pollution, Metal industry, Non-linear model

Fundamentos: La incidencia de tuberculosis (TB) se ha asociado a factores, epidemiológicos y sociales. En España, la TB es una enfermedad de declaración obligatoria e individualizada. Las tasas de TB respiratoria experimentan un descenso constante en los últimos años. El objetivo es valorar la asociación entre la morbilidad por TB respiratoria y variables socioeconómicas y epidemiológicas así como su distribución espacial mediante métodos geoestadísticos. Método: Las tasas de incidencia se estandarizaron por edad y sexo con datos de la Red Nacional de Vigilancia (2006). Las variables socioeconómicas incluidas son: condición socioeconómica, nivel de estudios, tasa de hacinamiento, densidad de población, tasa de inmigración estandarizada por sexo, tasa de analfabetismo, tasa de paro, gasto medio en euros por persona. Las variables epidemiológicas incluidas han sido la tasa de SIDA y la tasa de incidencia de gripe. Se realizó un análisis multivariable mediante un Modelo Lineal Generalizado poisson. Se aplicó la técnica geoestadística Cokringing ajustada por las variables estadísticamente significativas para ver la distribución espacial de riesgo. Resultados: Las variables estadísticamente significativas son la tasa de hacinamiento, tasa de inmigración, tasa de analfabetismo, tasa de paro, gasto medio euros por persona, tasa de gripe y tasa de sida. La técnica geoestadística muestra una variabilidad espacial del riesgo y una concentración del riesgo en el noroeste y sureste de la península. Conclusiones: Los resultados permiten afirmar que el método Cokriging es una herramienta útil para representar la distribución espacial del riesgo. Existe asociación entre variables socioeconómicas, epidemiológicas y TB en España.

Objetivos: a) Describir la metodología seguida en la construcción de un índice de privación por sección censal en ciudades, que permite identificar las secciones con situaciones socioeconómicas más desfavorables, y b) analizar la relación de este índice con la mortalidad general. Métodos: Se elaboraron diversos indicadores socioeconómicos (Censo 2001) correspondientes a las secciones censales de las ciudades de Barcelona, Bilbao, Madrid, Sevilla y Valencia. Se estudiaron sus correlaciones con la razón estandarizada de mortalidad (1996-2003), así como sus dimensiones conceptuales. Finalmente, mediante el análisis de componentes principales, se agregaron en un índice los indicadores seleccionados, usando como valores de peso las saturaciones correspondientes al primer eje. Resultados: Los indicadores que presentaron mayores correlaciones con la mortalidad general fueron los referidos a trabajo, educación, vivienda-entorno y hogares monoparentales. En el análisis dimensional de los indicadores aparece una primera dimensión que contiene los indicadores relativos a trabajo (desempleo, trabajadores manuales y eventuales) y educación (instrucción insuficiente total y en jóvenes). El índice elaborado con estos 5 indicadores recoge, en todas las ciudades estudiadas, más del 75% de la variabilidad de los indicadores que lo componen. Las correlaciones de este índice con la mortalidad muestran, en general, mayores valores que las obtenidas individualmente con cada indicador. Conclusiones: El índice de privación que se propone puede ser un instrumento útil para la planificación sanitaria al detectar áreas pequeñas de grandes ciudades con una situación socioeconómica desfavorable, que se relaciona con la mortalidad, y puede contribuir al estudio de las desigualdades sociales en salud en España.Objectives: a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality. Methods: Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values. Results: The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately. Conclusions: The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

El cáncer de mama es el tumor más frecuente en Europa. Según la Agencia Internacional de investigación del Cáncer, en 2006 se diagnosticaron unos 429.900 casos nuevos de cáncer de mama en Europa, con una tasa estandarizada de incidencia de 110 casos por 100.000 mujeres. También es la localización más frecuente en mujeres españolas: supone casi la cuarta parte de los casos de cáncer femeninos, y su incidencia está aumentando entre un 2-3% anual. Entre las posibles causas de este incremento están los cambios en los patrones reproductivos y en los hábitos de vida y la introducción de la terapia hormonal sustitutiva. Nuestro país, con una tasa de incidencia estandarizada estimada de 93,6 casos por 100.000 mujeres-año para 2006, ocupa una posición intermedia entre los países de Europa occidental y los del este. Es también una importante causa de mortalidad femenina. En 2005 causó la muerte de 5.703 mujeres españolas, con una tasa de mortalidad estandarizada de 18,6 por 100.000 mujeres-año. Desde los años 90 la mortalidad por cáncer de mama está descendiendo debido al diagnóstico precoz por programas de cribado y a los avances terapéuticos. En España esta tendencia decreciente se observa a partir de 1993, con un descenso de un 2,4% anual. La supervivencia global en Europa a los 5 años es cercana al 79%, inferior a la observada en EEUU (90%), y ha aumentado en los últimos años. En España, se sitúa en un 83%, significativamente más alta que la media europea.

Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin's lymphoma, NHL). Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors.The two objectives are to study overall spatial clustering and cluster detection of cases of the three main childhood cancer causes, looking to increase etiological knowledge.We ran a case-control study. The cases were children aged 0 to 14 diagnosed with leukemia, lymphomas (HL and NHL) or CNS neoplasm in five Spanish regions for the period 1996-2011. As a control group, we used a sample from the Birth Registry matching every case by year of birth, autonomous region of residence and sex with six controls. We geocoded and validated the address of the cases and controls. For our two objectives we used two different methodologies. For the first, for overall spatial clustering detection, we used the differences of K functions from the spatial point patterns perspective proposed by Diggle and Chetwynd and the second, for cluster detection, we used the spatial scan statistic proposed by Kulldorff with a level for statistical significance of 0.05.We had 1062 cases of leukemia, 714 cases of CNS, 92 of HL and 246 of NHL. Accordingly we had 6 times the number of controls, 6372 controls for leukemia, 4284 controls for CNS, 552 controls for HL and 1476 controls for NHL. We found variations in the estimated empirical D(s) for the different regions and cancers, including some overall spatial clustering for specific regions and distances. We did not find statistically significant clusters.The variations in the estimated empirical D(s) for the different regions and cancers could be partially explained by the differences in the spatial distribution of the population; however, according to the literature, we cannot discard environmental hazards or infections agents in the etiology of these cancers.