Short-Term Impact of Traffic-Related Particulate Matter and Noise Exposure on Cardiac Function.

Exposure to traffic-related air pollution and noise exposure contributes to detrimental effects on cardiac function, but the underlying short-term effects related to their simultaneous personal exposure remain uncertain. The aim is to assess the impact of total inhaled dose of particulate matter and total noise exposure on the variations of electrocardiogram (ECG) parameters between pre-cycling and post-cycling periods. Mid-June 2019, we collected four participants' personal exposure data related to traffic-related noise and particulate matter (PM2.5 and PM10) as well as ECG parameters. Several Bayesian linear models were built to examine a potential association between air pollutants and noise exposure and ECG parameters: heart rate (HR), standard deviation of the normal-to-normal intervals (SDNN), percentage of successive RR intervals that differ by more than 50 ms (pNN50), root mean square of successive RR interval differences (rMSSD), low-frequency power (LF), high-frequency power (HF), and ratio of low- to high-frequency power (LF/HF). We analyzed in total 255 5-min segments of RR intervals. We observed that per 1 µg increase in cumulative inhaled dose of PM2.5 was associated with 0.48 (95% CI: 0.22; 15.61) increase in variation of the heart rate, while one percent of total noise dose was associated with 0.49 (95% CI: 0.17; 0.83) increase in variation of heart rate between corresponding periods. Personal noise exposure was no longer significant once the PM2.5 was introduced in the whole model, whilst coefficients of the latter that were significant previously remained unchanged. Short-term exposure to traffic-related air and noise pollution did not, however, have an impact on heart rate variability.

Contribution analysis to analyze the effects of the health impact assessment at the local level: A case of urban revitalization.

The health impact assessment (HIA) is a tool used to estimate the potential impact on health of non-health-related proposals prior to implementation. While it is increasingly used in Quebec, Canada, studies have not analyzed its medium-term impacts and potential long-term impacts. We conducted a contribution analysis using in-depth interviews with key stakeholders, as well as documents, observation and images related to HIA in order to analyze its impacts on the revitalization of road infrastructure, parks and green spaces, and residential housing. Our analysis not only reflects on the decision-making process through the adoption and implementation of HIA recommendations, but also on the link between actions implemented in the field and health outcomes.

Contribution to healthy places: Risks of equity free health impact assessment.

While health equity is central to health impact assessment [HIA], in reality, less is known about potential impacts of equity-free HIA on social inequalities. We assessed equity-free HIA case in a small city east of Montreal, which took place in a context of urban revitalization. We applied a combination of a quantitative review of community characteristics with a qualitative descriptive approach based on in-depth semi-structured interviews and a focus group with multiple stakeholders to shed light on the pitfalls of equity-free HIA. Our results pointed to gentrification process with a gradual relocation of low-income residents in the end. To mitigate mediating circumstances of gentrification and displacement, the municipality should support social housing or at least should ensure rent stabilization ordinance.

L'analyse de contribution pour évaluer l'impact de la démarche ÉIS sur les processus décisionnels municipaux : un choix méthodologique intéressant ?

La pertinence de l'évaluation d'impact sur la santé (ÉIS) pour promouvoir le développement de politiques publiques favorables à la santé au sein des municipalités est de plus en plus reconnue. L'appréciation des effets d'une démarche d'ÉIS sur les processus décisionnels d'acteurs municipaux peut toutefois être difficile en raison de la multitude d'influences sociales, économiques, géographiques et personnelles auxquels ils sont soumis. Dans un tel contexte, l'approche évaluative de l'analyse de contribution (AC) s'avère particulièrement intéressante puisqu'elle permet de documenter les facteurs menant à l'efficacité d'une intervention en tenant compte des éléments du contexte. Elle aide l'évaluateur à comprendre comment et pourquoi une intervention fonctionne. Le présent article utilise l'étude de cas pour explorer la faisabilité et l'efficacité de l'AC pour apprécier les effets de démarches d'ÉIS sur le processus décisionnel d'acteurs municipaux. Il décrit les stratégies de collecte et d'analyse de données utilisées auprès de trois municipalités de la Montérégie, au Québec. Cette analyse critique montre que l'AC est pertinente dans le contexte décrit. Elle permet d'établir des associations claires et transparentes entre l'intervention, soit la démarche d'ÉIS, et l'importance accordée à la santé par les acteurs municipaux. Elle assure la prise en compte des facteurs d'influence contextuels et offre la flexibilité nécessaire pour adapter la collecte de données à la réalité du terrain. Néanmoins, la lourdeur de l'approche peut en contraindre l'application et certaines limites méthodologiques ont été observées au niveau de l'analyse des données. Les stratégies mises de l'avant pour y remédier sont décrites.

Evaluation of the effects of health impact assessment practice at the local level in Monteregie.

BACKGROUND: In Quebec (Canada), the Monteregie Regional Public Health Department has chosen to use health impact assessment (HIA) to support municipalities through a knowledge exchange and collaborative process in order to positively influence decision-making regarding local policies and projects. The value of HIA is becoming increasingly recognized by municipalities interested in planning and managing their cities with an eco-systemic perspective. However, the knowledge and tools which support the use of the HIA at regional and local levels are still missing. METHODS: The general objective is to evaluate the impact the collaborative HIA process used in Monteregie has had on the formulation, adoption and implementation of policies and projects favourable to health. The methodology is based on Mayne's CA design, which allows the identification of factors which contribute to a change process. It is described as one of the best approaches to reduce uncertainty regarding the observed results and the contribution of a program. All of the HIA processes realised between January 2013 and January 2016 in Monteregie will be studied following a case study strategy. Study populations include regional and local public health professionals, municipal officers and community members implicated in these HIAs. Various qualitative and quantitative methods will be used, including examination of documentation, observations on the city grounds, and individual or group interviews. A model of change will be constructed for each HIA process and will present the logical pathway which leads to the observed results, alternative explanations and hypothesises as to why these results were obtained, and contextual factors that could have influenced them. This model will allow the production of a refined contribution story for each HIA. A convergence and divergence analysis will be completed in order to identify differences or similitudes between the different HIAs studied. DISCUSSION: In addition to contributing to the production of knowledge in relation to the collaborative model of HIA, this research project will allow other regional and local public health actors and municipalities of Quebec or other decision-making and political bodies to understand the usefulness of this approach for the improvement of population health and well-being.