46 research outputs found

    Socioeconomic differentials in the immediate mortality effects of the national Irish smoking ban

    Get PDF
    This article has been made available through the Brunel Open Access Publishing Fund.Background: Consistent evidence has demonstrated that smoking ban policies save lives, but impacts on health inequalities are uncertain as few studies have assessed post-ban effects by socioeconomic status (SES) and findings have been inconsistent. The aim of this study was to assess the effects of the national Irish smoking ban on ischemic heart disease (IHD), stroke, and chronic obstructive pulmonary disease (COPD) mortality by discrete and composite SES indicators to determine impacts on inequalities. Methods: Census data were used to assign frequencies of structural and material SES indicators to 34 local authorities across Ireland with a 2000–2010 study period. Discrete indicators were jointly analysed through principal component analysis to generate a composite index, with sensitivity analyses conducted by varying the included indicators. Poisson regression with interrupted time-series analysis was conducted to examine monthly age and gender-standardised mortality rates in the Irish population, ages ≥35 years, stratified by tertiles of SES indicators. All models were adjusted for time trend, season, influenza, and smoking prevalence. Results: Post-ban mortality reductions by structural SES indicators were concentrated in the most deprived tertile for all causes of death, while reductions by material SES indicators were more equitable across SES tertiles. The composite indices mirrored the results of the discrete indicators, demonstrating that post-ban mortality decreases were either greater or similar in the most deprived when compared to the least deprived for all causes of death. Conclusions: Overall findings indicated that the national Irish smoking ban reduced inequalities in smoking-related mortality. Due to the higher rates of smoking-related mortality in the most deprived group, even equitable reductions across SES tertiles resulted in decreases in inequalities. The choice of SES indicator was influential in the measurement of effects, underscoring that a differentiated analytical approach aided in understanding the complexities in which structural and material factors influence mortality

    Estimation of Short-Term Effects of Air Pollution on Stroke Hospital Admissions in Wuhan, China

    Get PDF
    Background and Objective:High concentrations of air pollutants have been linked to increased incidence of stroke in North America and Europe but not yet assessed in mainland China. The aim of this study is to evaluate the association between stroke hospitalization and short-term elevation of air pollutants in Wuhan, China.Methods:Daily mean NO2, SO2 and PM10 levels, temperature and humidity were obtained from 2006 through 2008. Data on stroke hospitalizations (ICD 10: I60-I69) at four hospitals in Wuhan were obtained for the same period. A time-stratified case-crossover design was performed by season (April-September and October-March) to assess effects of pollutants on stroke hospital admissions.Results:Pollution levels were higher in October-March with averages of 136.1 μg/m3 for PM10, 63.6 μg/m3 for NO2 and 71.0 μg/m3 for SO2 than in April-September when averages were 102.0 μg/m3, 41.7 μg/m3 and 41.7 μg/m3, respectively (p<.001). During the cold season, every 10 μg/m3 increase in NO2 was associated with a 2.9% (95%C.I. 1.2%-4.6%) increase in stroke admissions on the same day. Every 10 ug/m3 increase in PM10 daily concentration was significantly associated with an approximate 1% (95% C.I. 0.1%-1.4%) increase in stroke hospitalization. A two-pollutant model indicated that NO2 was associated with stroke admissions when controlling for PM10. During the warm season, no significant associations were noted for any of the pollutants.Conclusions:Exposure to NO2 is significantly associated with stroke hospitalizations during the cold season in Wuhan, China when pollution levels are 50% greater than in the warm season. Larger and multi-center studies in Chinese cities are warranted to validate our findings. © 2013 Xiang et al

    A growing role for gender analysis in air pollution epidemiology

    Full text link

    Quantifying the impact of deprivation on preterm births:a retrospective cohort study

    Get PDF
    Background: Social deprivation is associated with higher rates of preterm birth and subsequent infant mortality. Our objective was to identify risk factors for preterm birth in the UK's largest maternity unit, with a particular focus on social deprivation, and related factors. Methodology/Principal Findings: Retrospective cohort study of 39,873 women in Liverpool, UK, from 2002-2008. Singleton pregnancies were stratified into uncomplicated low risk pregnancies and a high risk group complicated by medical problems. Multiple logistic regression, and generalized additive models were used to explore the effect of covariates including area deprivation, smoking status, BMI, parity and ethnicity on the risk of preterm birth (34(+0) weeks). In the low risk group, preterm birth rates increased with deprivation, reaching 1.6% (CI95 1.4 to 1.8) in the most deprived quintile; the unadjusted odds ratio comparing an individual in the most deprived quintile, to one in the least deprived quintile was 1.5 (CI95 1.2 to 1.9). Being underweight and smoking were both independently associated with preterm birth in the low risk group, and adjusting for these factors explained the association between deprivation and preterm birth. Preterm birth was five times more likely in the high risk group (RR 4.8 CI95 4.3 to 5.4), and there was no significant relationship with deprivation. Conclusions: Deprivation has significant impact on preterm birth rates in low risk women. The relationship between low socio-economic status and preterm births appears to be related to low maternal weight and smoking in more deprived groups

    Assessing the impact of race, social factors and air pollution on birth outcomes: a population-based study

    Get PDF
    Abstract Background Both air pollution exposure and socioeconomic status (SES) are important indicators of children’s health. Using highly resolved modeled predictive surfaces, we examine the joint effects of air pollution exposure and measures of SES in a population level analysis of pregnancy outcomes in North Carolina (NC). Methods Daily measurements of particulate matter <2.5 μm in aerodynamic diameter (PM2.5) and ozone (O3) were calculated through a spatial hierarchical Bayesian model which produces census-tract level point predictions. Using multilevel models and NC birth data from 2002–2006, we examine the association between pregnancy averaged PM2.5 and O3, individual and area-based SES indicators, and birth outcomes. Results Maternal race and education, and neighborhood household income were associated with adverse birth outcomes. Predicted concentrations of PM2.5 and O3 were also associated with an additional effect on reductions in birth weight and increased risks of being born low birth weight and small for gestational age. Conclusions This paper builds on and complements previous work on the relationship between pregnancy outcomes and air pollution exposure by using 1) highly resolved air pollution exposure data; 2) a five-year population level sample of pregnancies; and 3) including personal and areal level measures of social determinants of pregnancy outcomes. Results show a stable and negative association between air pollution exposure and adverse birth outcomes. Additionally, the more socially disadvantaged populations are at a greater risk; controlling for both SES and environmental stressors provides a better understanding of the contributing factors to poor children’s health outcomes.http://deepblue.lib.umich.edu/bitstream/2027.42/109504/1/12940_2013_Article_720.pd

    HIV care in Central and Eastern Europe: How close are we to the target?

    No full text
    PubMed ID: 29550449Objectives: The aim of this survey was to describe the current status of HIV care in the countries of Central and Eastern Europe and to investigate how close the region is to achieving the UNAIDS 2020 target of 90–90–90. Methods: In 2014, data were collected from 24 Central and Eastern European countries using a 38-item questionnaire. Results: All countries reported mandatory screening of blood and organ donors for HIV. Other groups subjected to targeted screening included people who inject drugs (PWID) (15/24, 62.5%), men who have sex with men (MSM) (14/24, 58.3%), and sex workers (12/24, 50.0%). Only 14 of the 24 countries (58.3%) screened pregnant women. The percentages of late presentation and advanced disease were 40.3% (range 14–80%) and 25.4% (range 9–50%), respectively. There was no difference between countries categorized by income or by region in terms of the percentages of persons presenting late or with advanced disease. The availability of newer antiretroviral drugs (rilpivirine, etravirine, darunavir, maraviroc, raltegravir, dolutegravir) tended to be significantly better with a higher country income status. Ten countries reported initiating antiretroviral therapy (ART) regardless of CD4+ T cell count (41.7%), five countries (20.8%) used the threshold of <500 cells/µl, and nine countries (37.5%) used the threshold of <350 cells/µl. Initiation of ART regardless of the CD4+ T cell count was significantly more common among high-income countries than among upper-middle-income and lower-middle-income countries (100% vs. 27.3% and 0%, respectively; p = 0.001). Drugs were provided free of charge in all countries and mostly provided by governments. There were significant discrepancies between countries regarding the follow-up of people living with HIV. Conclusions: There are major disparities in the provision of HIV care among sub-regions in Europe, which should be addressed. More attention in terms of funding, knowledge and experience sharing, and capacity building is required for the resource-limited settings of Central and Eastern Europe. The exact needs should be defined and services scaled up in order to achieve a standard level of care and provide an adequate and sustainable response to the HIV epidemic in this region. © 2018 The AuthorsGilead SciencesThe authors would like to thank Mike Youle and Ben Collins for encouraging them to develop this survey. This study was supported by an unconditional grant from the AIDS and STI Society-Turkey and Gilead Sciences. Appendix A -
    corecore