Road Traffic Noise - Factors modifying its relation to annoyance and cardiovascular disease

Traffic noise causes annoyance and sleep disturbance and has been linked with several other adverse effects on life quality and health, including increased risk of hypertension and myocardial infarction. Conservative estimates assume that at least one million healthy life years are lost every year from traffic related noise in the western part of Europe. We know from earlier studies that the adverse effects of environmental noise may be modified by social, demographic and individual factors. However, there is a need to better evaluate exposure-response in susceptible groups. The aim of this thesis was to test a number of factors hypothesised to modify the association between road traffic noise, annoyance and cardiovascular disease. Paper I-III are cross-sectional, while paper IV is a cohort study. The four different study populations in this thesis were selected through stratified random sampling of men and women aged 18-80 years old in the county of Skåne and its major city Malmö in southern Sweden. Exposures of road traffic and railway noise as well as air pollution were modelled using geographic information system (GIS) for the survey participants’ residential addresses. Possible confounding and modifying factors were mainly drawn from survey responses while outcomes were based on both self-reporting and inpatient registers. We were not able to show a relation between current and medium-term noise exposure to road traffic noise and incident myocardial infarction or ischemic heart disease in the general population. Air-pollution at low levels did not modify this effect. An association was however found between road traffic noise and hypertension in a cross-sectional study >60dB(A). We also found strong and positive relations between road traffic noise and annoyance. Railway noise was found to be less annoying at intermediate levels, but not >55dB(A). Access to quiet side had a protective effect and decreased the risk of annoyance, sleep and concentration problems equal to a 5dB(A) decrease in noise exposure. Generally middle-aged persons were found to be more susceptible to noise. Higher socioeconomic status and educational level were related to noise annoyance. With regard to sex, findings were less consistent. We also found that results in our studies might be biased due to selective participation, that noise sensitive individuals were likely to have a higher response rate and that inter-study comparison may be difficult since different annoyance scales can produce very different results. In conclusion, the health effects of noise are modified by noise source, co-exposures, environmental and socio-demographic factors (as well as personal traits) and research methodology. To develop better policies for residential noise environment, future research should focus on combined exposures and stressors as well as further explaining age differences and developing better ways to account for social class

Road traffic noise and hypertension: results from a cross-sectional public health survey in southern Sweden

BACKGROUND: Results from studies of road traffic noise and hypertension are heterogeneous with respect to effect size, effects among males and females and with respect to effects across age groups. Our objective was to further explore these associations. METHODS: The study used cross-sectional public health survey data from southern Sweden, including 24,238 adults (18 - 80 years old). We used a geographic information system (GIS) to assess the average road noise (LAeq 24 hr) at the current residential address. Effects on self-reported hypertension were estimated by logistic regression with adjustment for age, sex, BMI, alcohol intake, exercise, education, smoking and socioeconomic status. RESULTS: Modest exposure effects (OR approximately 1.1) were generally noted in intermediate exposure categories (45 -64 dB(A)), and with no obvious trend. The effect was more pronounced at > 64 dB(A) (OR 1.45, 95% CI 1.04 - 2.02). Age modified the relative effect (p = 0.018). An effect was seen among middle-aged (40 - 59 years old) at noise levels 60 - 64 dB(A) (OR = 1.27, 95% CI 1.02 - 1.58)) and at > 64 dB(A) (OR = 1.91, 95% CI 1.19 - 3.06)). An effect was also indicated among younger adults but not among elderly. No apparent effect modification by gender, country of origin, disturbed sleep or strained economy was noted. CONCLUSION: The study supports an association between road traffic noise at high average levels and self-reported hypertension in middle-aged. Future studies should use age group -specific relative effect models to account for differences in prevalence

Survey context and question wording affects self reported annoyance due to road traffic noise: a comparison between two cross-sectional studies

<p>Abstract</p> <p>Background</p> <p>Surveys are a common way to measure annoyance due to road traffic noise, but the method has some draw-backs. Survey context, question wording and answer alternatives could affect participation and answers and could have implications when comparing studies and/or performing pooled analyses. The aim of this study was to investigate the difference in annoyance reporting due to road traffic noise in two types of surveys of which one was introduced broadly and the other with the clearly stated aim of investigating noise and health.</p> <p>Methods</p> <p>Data was collected from two surveys carried out in the municipality of Malmö, southern Sweden in 2007 and 2008 (n = 2612 and n = 3810). The first survey stated an aim of investigating residential environmental exposure, especially noise and health. The second survey was a broad public health survey stating a broader aim. The two surveys had comparable questions regarding noise annoyance, although one used a 5-point scale and the other a 4-point scale. We used geographic information systems (GIS) to assess the average road and railway noise (L_Aeq,24h) at the participants' residential address. Logistic regression was used to calculate odds ratios for annoyance in relation to noise exposure.</p> <p>Results</p> <p>Annoyance at least once a week due to road traffic noise was significantly more prevalent in the survey investigating environment and health compared to the public health survey at levels > 45 dB(A), but not at lower exposure levels. However no differences in annoyance were found when comparing the extreme alternatives "never" and "every day". In the study investigating environment and health, "Noise sensitive" persons were more likely to readily respond to the survey and were more annoyed by road traffic noise compared to the other participants in that survey.</p> <p>Conclusions</p> <p>The differences in annoyance reporting between the two surveys were mainly due to different scales, suggesting that extreme alternatives are to prefer before dichotomization when comparing results between the two. Although some findings suggested that noise-sensitive individuals were more likely to respond to the survey investigating noise and health, we could not find convincing evidence that contextual differences affected either answers or participation.</p

Causal effect of shifting from precarious to standard employment on all-cause mortality in Sweden : an emulation of a target trial

Background: We aimed at estimating the causal effect of switching from precarious to standard employment on the 6-year and 12-year risk of all-cause mortality among workers aged 20-55 years in Sweden. Methods: We emulated a series of 12 target trials starting every year between 2005 and 2016 using Swedish register data (n=251 273). We classified precariously employed individuals using a multidimensional approach at baseline as (1) remaining in precarious employment (PE) (73.8%) and (2) shifting to standard employment (26.2%). All-cause mortality was measured from 2006 to 2017. We pooled data for all 12 emulated trials and used covariate-adjusted pooled logistic regression to estimate intention-to-treat and per-protocol effects via risk ratios (RRs) and standardised risk curves (the parametric g-formula). Results: Shifting from precarious to standard employment decreases the 12-year risk of death by 20% on the relative scale (RR: 0.82, 95% CI: 0.73; 0.93), regardless of what happens after the initial shift. However, we estimated a 12-year risk reduction of 30% on the relative scale for workers shifting from precarious to standard employment and staying within this employment category for the full 12 years (RR: 0.71, 95% CI: 0.54; 0.95). Conclusions: This study finds that shifting from low to higher-quality employment conditions (ie, stable employment, sufficient income levels and high coverage by collective agreements) decreases the risk of death. Remaining in PE increases the risk of premature mortality. Our results emphasise the necessity of ensuring decent work for the entire working population to accomplish the 2030 Agenda for Sustainable Development

Initiatives addressing precarious employment and its effects on workers’ health and well-being: a protocol for a systematic review

Precarious employment is a significant determinant of population health and health inequities and has complex public health consequences both for a given nation and internationally. Precarious employment is conceptualized as a multi-dimensional construct including but not limited to employment insecurity, income inadequacy, and lack of rights and protection in the employment relation, which could affect both informal and formal workers. The purpose of this review is to identify, appraise, and synthesize existing research on the effectiveness of initiatives aiming to or having the potential to eliminate, reduce, or mitigate workers’ exposure to precarious employment conditions and its effects on the health and well-being of workers and their families

Methodological Considerations for Identifying Questionable Publishing in a National Context – the Case of Swedish Higher Education Institutions

The overall scope of this study is an attempt at a methodological framework for matching publication lists at the national level against a combined set of blacklists for questionable publishing. Using the total verified set of publications from Swedish Higher Education Institutions (HEI) as a case, we examined the number, distribution, and proportion of publishing in questionable journals at the national level. Journal publication data was extracted from the national SwePub database and matched against three curated blacklists of questionable publishing. For the period 2012–2017, we identified 1,743 published papers in blacklisted journals, equal to an average of 0.5–0.9% of the total publications from Swedish HEIs. There was high variability between different HEI categories, with more established universities at the lower end of the spectrum, while university colleges and new universities had a much higher proportion (∼2%). There was a general decreasing trend during the study period (ρ = 0.83) for all categories of HEI:s. The study presents a methodology to identify questionable publishing in academia which could be applied to other countries with similar infrastructure. Thus, it could serve as a starting point for the development of a general framework for cross-national quantitative estimation of questionable publishing

Modèle génératif pour l'interprétation géologique d'images tomographiques en Géosciences

International audienceSolving an inverse problem in physical sciences can involve exploring all possible models. We propose here to train a neural network to reproduce physical simulations. This network is then used to sample the set of models explaining the observed data. We use this approach to fit geological models of upper mantle called marble cakes on tomographic data. We show that the generated images are statistically close to the theoretical models and we get the result of the inversion as a distribution.-La résolution d'un problème inverse en sciences physiques peut passer par l'exploration de l'ensemble des modèles possibles. Nous proposons ici d'entraîner un réseau de neurones à reproduire des simulations physiques. Ce réseau est ensuite utilisé pour échantillonner l'ensemble des modèles expliquant les données observées. Nous le mettons en oeuvre pour ajuster des modèles géologiques de manteau supérieur appelés gâteaux marbrés sur des données tomographiques. Nous montrons que les images générées sont statistiquement proches des modèles théoriques et nous obtenons le résultat de l'inversion sous forme d'une distribution