Tobacco use in pregnancy: prevalence and factors associated with maintenance of consumption

Fundamentos: El consumo de tabaco durante el embarazo es perjudicial para las mujeres embarazadas y el feto. En Galicia la prevalencia del consumo durante el embarazo no está actualizada y se desconocen las características de las mujeres que continúan fumando durante el embarazo. Los objetivos de este trabajo fueron estimar, antes y durante el embarazo, la prevalencia del uso del tabaco, caracterizar su consumo e identificar factores asociados al mantenimiento durante el embarazo. Métodos: Estudio transversal realizado en 2016 en mujeres que habían dado a luz en los 12 meses previos (n =6436) en Galicia. Se recogió información sobre la madre en diferentes momentos temporales. La prevalencia del consumo de tabaco se estimó a nivel global y en función de diferentes características. Se ajustaron modelos de regresión para identificar las variables asociadas al mantenimiento del consumo. Se presentan prevalencia y razones de odds acompañadas de intervalos de confianza al 95%. Resultados: La prevalencia del consumo de tabaco durante el embarazo fue del 11,9% (11,1-12,8). Entre las mujeres que mantuvieron el consumo durante el embarazo, el porcentaje de fumadoras de cigarrillos disminuyó, el de tabaco de liar permaneció estable. Seguir fumando durante el embarazo estuvo relacionado con la nacionalidad, el nivel educativo, o con el consumo previo. Conclusiones: A pesar de que más de la mitad de las mujeres dejan de fumar durante el embarazo, la prevalencia es del 12%. Los diferentes predictores de mantenimiento deben tenerse en cuenta cuando se diseñan programas de intervención orientados a mujeres embarazadas. Fundamentos: El consumo de tabaco durante el embarazo es perjudicial para las mujeres embarazadas y el feto. En Galicia la prevalencia del consumo durante el embarazo no está actualizada y se desconocen las características de las mujeres que continúan fumando durante el embarazo. Los objetivos de este trabajo fueron estimar, antes y durante el embarazo, la prevalencia del uso del tabaco, caracterizar su consumo e identificar factores asociados al mantenimiento durante el embarazo. Métodos: Estudio transversal realizado en 2016 en mujeres que habían dado a luz en los 12 meses previos (n =6436) en Galicia. Se recogió información sobre la madre en diferentes momentos temporales. La prevalencia del consumo de tabaco se estimó a nivel global y en función de diferentes características. Se ajustaron modelos de regresión para identificar las variables asociadas al mantenimiento del consumo. Se presentan prevalencia y razones de odds acompañadas de intervalos de confianza al 95%. Resultados: La prevalencia del consumo de tabaco durante el embarazo fue del 11,9% (11,1-12,8). Entre las mujeres que mantuvieron el consumo durante el embarazo, el porcentaje de fumadoras de cigarrillos disminuyó, el de tabaco de liar permaneció estable. Seguir fumando durante el embarazo estuvo relacionado con la nacionalidad, el nivel educativo, o con el consumo previo. Conclusiones: A pesar de que más de la mitad de las mujeres dejan de fumar durante el embarazo, la prevalencia es del 12%. Los diferentes predictores de mantenimiento deben tenerse en cuenta cuando se diseñan programas de intervención orientados a mujeres embarazadas.Background: Tobacco use during pregnancy is detrimental to pregnant women and to the fetus. In Galicia, the data regarding prevalence of tobacco use during pregnancy is outdated and the characteristics of women who continue to smoke during pregnancy are not known. The objectives of this work were to estimate, before and during pregnancy, the prevalence of tobacco use and characterize its consumption, and to identify factors associated with the maintenance of tobacco use during pregnancy. Methods: A cross-sectional study was conducted in 2016 targeting women who had given birth within the previous 12 months (n=6.436) in Galicia. Information was collected regarding the mother’s status before and during pregnancy, at the time of delivery and survey. Smoking prevalence was estimated both globally and by women related characteristics. Regression models were performed to identify variables associated with smoking maintenance. Prevalence and odds ratio are presented accompanied with 95% confidence interval. Results: Smoking prevalence during pregnancy was 11.9% (11.1–12.8). Among women who maintain tobacco consumption during pregnancy, the percentage of cigarette smokers decreased, but prevalence of rolled tobacco remain stable. The maintenance of smoking during pregnancy was related to being Spanish, education or having been a daily smoker before pregnancy. Conclusions: Despite the fact that more than half of Galician women stop smoking during pregnancy, smoking prevalence remains at 12%. The different demographic factors identified in this study as predictors of smoking maintenance, should be kept in mind when intervention programs focused on pregnant women will be design.S

Prevalence of malnutrition in Spanish schoolchildren

S

Evaluation, correction and impact of non-response in studies of childhood obesity

Objetivo: Evaluar y corregir, usando escalas de siluetas corporales, el impacto de la no respuesta en las prevalencias de bajo peso, sobrepeso y obesidad en ninos/as ˜ de 6-15 anos ˜ de edad. Método: Estudio transversal realizado en 2013 con 8145 escolares gallegos/as de 6-15 anos. ˜ Quienes aceptaron participar fueron pesados/as y medidos/as, y a partir del índice de masa corporal se estimaron las prevalencias de bajo peso, sobrepeso y obesidad. Los/las profesores/as valoraron a todo el alumnado mediante escalas de siluetas corporales, y las valoraciones se usaron para estimar las prevalencias corregidas por la no respuesta.Aplicando elteorema de Bayes se estimaron las tasas de participación en función del estado ponderal. Resultados: La tasa de participación fue del 92,3% para los/las de 6-11 anos ˜ y del 90% para los/las de 12-15 anos. ˜ En ambos grupos, las prevalencias de bajo peso y sobrepeso fueron similares entre participantes y no participantes, pero la obesidad fue mayor entre los no participantes, sobre todo a los 12-15 anos ˜ (6,3% vs. 12,2%; p < 0,05). Las prevalencias no variaron al ser corregidas con las valoraciones. La tasa de participación de los/las escolares obesos/as fue inferior a la global (82% vs. 90% a los 12-15 anos; ˜ p < 0,05). Conclusiones: Se confirma la presencia de sesgo de participación, mayor a los 12-15 anos, ˜ aunque su impacto en las prevalencias fue despreciable debido a la alta tasa de participación. En los estudios de obesidad con medidas objetivas es fundamental cuantificar la no respuesta, así como valorar el impacto que tiene y corregirlo.Objective: To evaluate and correct the impact of non-response in the prevalence of underweight, overweight and obesity in children aged 6 to 15 years old using silhouette scales. Method: Cross-sectional study carried out in 2013 among 8,145 Galician schoolchildren aged 6-15 years old. The students who agreed to participate were weighed and measured and, based on body mass index, the prevalence of underweight, overweight and obesity was estimated. Teachers rated all students using silhouette scales. The valuations were used to estimate the prevalence corrected by non-response. Using the Bayes theorem, participation rates were estimated according to weight status. Results: The participation rate was 92.3% in the 6 -to 11-year-old group, and 90% in the 12- to 15-year old age group. In both groups, the prevalence of underweight and overweight were similar between participants and non-participants. However, obesity was higher among non-participants, especially at 12 to 15 years of age (6.3% vs. 12.2% ; p < 0.05). The prevalence did not change when corrected by the teacher’s valuation. The participation rate of obese students was lower than the overall rate (82% vs. 90% at 12 to 15 years old; p < 0.05). Conclusions: The presence of participation bias, which was greater at 12-15 years old, was confirmed. However,the impact ofthe bias on prevalence was negligible due to the high participation rate. In obesity studies with objective measures, itis essentialto quantify non-participation, as well as to assess its impact and correct it.S

Lung cancer mortality attributable to residential radon exposure in Spain and its regions

Lung cancer has the highest cancer mortality rate in developed countries. The principal risk factor for lung cancer is tobacco use, with residential radon being the leading risk factor among never smokers and the second among ever smokers. We sought to estimate mortality attributable to residential radon exposure in Spain and its Autonomous Regions, with correction for dwelling height and differentiation by tobacco use. We applied a prevalence-based method for estimating attributable mortality. For estimations, we considered exposure to radon in the different Autonomous Regions corrected for dwelling height, using the National Statistics Institute Housing Census and prevalence of tobacco use (never smokers, smokers and ex-smokers). The results showed that 3.8% (838 deaths) of lung cancer mortality was attributable to radon exposure of over 100 Bq/m3, a figure that rises to 6.9% (1,533 deaths) when correction for dwelling height is not performed. By Autonomous Region, the highest population attributable fractions, corrected for dwelling height, were obtained for Galicia, Extremadura, and the Canary Islands, where 7.0, 6.9, and 5.5% of lung cancer mortality was respectively attributable to radon exposure. The greatest part of the attributable mortality occurred in men and among smokers and ex-smokers. Residential radon exposure is a major contributor to lung cancer mortality, though this contribution is highly variable among the different territories, indicating the need for targeted prevention policies. Correction of estimates for dwelling height is fundamental for providing reliable estimates of radon-attributable mortalityCarlos III Institute of Health (Instituto de Salud Carlos III) Project FIS PI19/00288S

Serum cotinine cut-points for secondhand smoke exposure assessment in children under 5 years: A systemic review

Background Serum cotinine has become the most widely used biomarker of secondhand smoke exposure (SHS) over time in all ages. The aim of this study was to review the serum cotinine cutpoints used to classify children under 5 years as exposed to SHS. Methods A systematic review performed in the Pubmed (MEDLINE) and EMBASE databases up to April 2021 was conducted using as key words serum cotinine, tobacco smoke pollution (MeSH), secondhand smoke, environmental tobacco smoke and tobacco smoke exposure. Papers which assessed SHS exposure among children younger than 5 years old were included. The PRISMA 2020 guidelines were followed. Analysis was pre-registered in PROSPERO (registration number: CRD42021251263). Results 247 articles were identified and 51 fulfilled inclusion criteria. The selected studies were published between 1985-2020. Most of them included adolescents and adults. Only three assessed postnatal exposure exclusively among children under 5 years. None of the selected studies proposed age-specific cut-points for children < 5 years old. Cut-point values to assess SHS exposure ranged from 0.015 to 100 ng/ml. The most commonly used cut-point was 0.05 ng/ml, derived from the assay limit of detection used by the National Health and Nutrition Examination Survey (NHANES). Conclusions No studies have calculated serum cotinine age-specific cut-points to ascertained SHS exposure among children under 5 years old. Children's age-specific cut-points are warranted for health research and public health purposes aimed at accurately estimating the prevalence of SHS exposure and attributable burden of disease to such exposure, and at reinforcing 100% smoke-free policies worldwide, both in homes, private vehicles and public places

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.This paper forms part of the research conducting to the PhD degree of Julia Rey-Brandariz, who has received a FPU fellowship (reference number FPU20/00926), from the Ministry of Universities of Spain. This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project “PI19/00288″ and co-funded by the European Union.S

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.This article forms part of the research conducting to the PhD degree of Julia Rey-Brandariz, who has received a FPU fellowship (reference number FPU20/00926), from the Ministry of Universities of Spain.S

Four Decades of COPD Mortality Trends: Analysis of Trends and Multiple Causes of Death

There is little information on chronic obstructive pulmonary disease (COPD) mortality trends, age of death, or male:female ratio. This study therefore sought to analyze time trends in mortality with COPD recorded as the underlying cause of death from 1980 through 2017, and with COPD recorded other than as the underlying cause of death. We conducted an analysis of COPD deaths in Galicia (Spain) from 1980 through 2017, including those in which COPD was recorded other than as the underlying cause of death from 2015 through 2017. We calculated the crude and standardized rates, and analyzed mortality trends using joinpoint regression models. There were 43,234 COPD deaths, with a male:female ratio of 2.4. Median age of death was 82 years. A change point in the mortality trend was detected in 1996 with a significant decrease across the sexes, reflected by an annual percentage change of −3.8%. Taking deaths into account in which COPD participated or contributed without being the underlying cause led to an overall 42% increase in the mortality burden. The most frequent causes of death when COPD was not considered to be the underlying cause were bronchopulmonary neoplasms and cardiovascular diseases. COPD mortality has decreased steadily across the sexes in Galicia since 1996, and age of death has also gradually increased. Multiple-cause death analysis may help prevent the underestimation of COPD mortalityS

Nursing workforce characteristics and control of diabetes mellitus in primary care: A multilevel analysis. Spain

Fundamentos: La actividad de enfermería está condicionada por las características de la plantilla. El objetivo fue determinar cómo afectan las características de la plantilla de enfermería de atención primaria (AP) al control de la diabetes mellitus (DM) en personas adultas. Método: Estudio analítico transversal. Instrumentos para la recogida de datos: sistemas de información de AP y cuestionario PES-Nursing Work Index. Participantes: 44.214 pacientes diabéticos en dos zonas de salud de la Comunidad de Madrid: Zona Noroeste (ZNO) con mejor situación socioeconómica y Zona Suroeste (ZSO) con peor situación socioeconómica y los 507 profesionales de enfermería de referencia. Se realizaron análisis multivariantes multinivel de regresión logística. La variable dependiente fue la DM estaba mal controlada (cuando los valores de Hb1Ac eran ≥ a 7%) Resultados: La prevalencia DM mal controlada fue de 40,1% (IC95%:38,2-42,1). Existía un riesgo de un 25% más de peor control si el paciente cambiaba de centro de salud y de un 27% si cambiaba de pareja médico de cabaecera y enfermera. En los modelos de regresión logística multivariante multinivel: para la ZSO a mayor ratio de pacientes mayores de 65 años aumentaba el riesgo de mal control (OR=1,00008 [IC95%:1,00006-1,001]); a mayor proporción de pacientes sin seguimiento por centro de salud peor control (OR=5,1 [IC95%:1,6-15,6]). En los dos modelos por zona de salud, la condición de ser inmigrante económico aumentó el riesgo de mal control, ZSO (OR=1,3 [IC95%:1,03-1,7]); y ZNO (OR=1,29 [IC95%:1,03-1,6]). Conclusiones: Son factores de riesgo de tener mal controlada la diabetes mellitus la mayor proporción de pacientes mayores de 65 años por enfermera, ser inmigrante y la proporción de pacientes sin seguimientoBackground: Nurse activity is determined by the characteristics of nursing staff. The objective was to determine the impact of Primary Health Care (PHC) nursing workforce characteristics on the control of Diabetes Mellitus (DM) in adults. Method: Cross-sectional analytical study. Administrative and clinical registries and questionnaire PES-Nursing Work Index from PHC nurses. Participants 44.214 diabetic patients in two health zones within the Community of Madrid, North-West Zone (NWZ) with higher socioeconomic situation and South-West Zone (SWZ) with lower socioeconomic situation, and their 507 reference nurses. Analyses were performed to multivariate multilevel logistic regression models. Primary outcome measure: Poor DM control (figures ≥ 7% HbA1c) Results: The prevalence of poor DM control was 40.1% [CI95%: 38.2-42.1]. There was a risk of 25% more of poor control if the patient changed centre and of 27% if changed of doctor-nurse pair. In the multilevel multivariate regression models: in SWZ increasing the ratio of patients over 65 years per nurse increased the poor control (OR=1.00008 [CI95%:1.00006-1.001]); and higher proportion of patients whose Hb1Ac was not measured at the centre contributed to poor DM control (OR=5.1 [CI95%:1.6-15.6]). In two models for health zone, the economic immigration condition increased poor control, in SWZ (OR=1.3 [CI95%:1.03-1.7]); and in NWZ (OR=1.29 [CI95%:1.03-1.6]). Conclusions: Higher 65 years old patients ratio per nurse, economic immigration condition and a higher proportion of patients whose Hb1Ac was not measured contribute to worse DM controlLos resultados presentados en este manuscrito forman parte de un proyecto financiado parcialmente por el Premio Nacional Marqués de Valdecilla (Santander) 2010 (12ª edición

Mortality Attributable to Environmental Tobacco Smoke Exposure in Spain in 2020

Introduction and objectives: Exposure to environmental tobacco smoke (ETS) is associated with increased mortality and morbidity. The objective of this study was to estimate the impact of ETS exposure in Spain on mortality in 2020 in the population aged 35 years and over. Methods: A method of estimating attributable mortality (AM) based on the prevalence of ETS exposure was applied. Prevalence data were obtained from a representative study conducted in Spain and the relative risks were derived from a meta-analysis. AM point estimates are presented along with 95% confidence intervals (95% CI), calculated using a bootstrap naive procedure. AM, both overall and by smoking habit, was estimated for each combination of sex, age group, and cause of death (lung cancer and ischemic heart disease). A sensitivity analysis was performed. Results: A total of 747 (95% CI 676–825) deaths were attributable to ETS exposure, of which 279 (95% CI 256–306) were caused by lung cancer, and 468 (95% CI 417–523) by ischemic heart disease. Three quarters (75.1%) of AM occurred in men and 60.9% in non-smokers. When chronic obstructive pulmonary disease and cerebrovascular disease are included, the burden of AM is estimated at 2242 deaths. Conclusions: ETS exposure is associated with 1.5% of all deaths from lung cancer and ischemic heart disease in the population aged 35 and over. These data underline the need for health authorities to focus on reducing exposure to ETS in all settings and environmentsInstituto de Salud Carlos III (ISCIII), reference: PI22/00727, co-funded by the European UnionS