In cold temperatures, vehicles idle more, have high cold-start emissions including greenhouse gases, and have less effective exhaust filtration systems, which can cause up to ten-fold more harmful vehicular emissions. Only a few vehicle technologies have been tested for emissions below −7 °C (20 °F). Four-hundred-million people living in cities with sub-zero temperatures may be impacted. We conducted a scoping review to identify the existing knowledge about air-pollution-related health outcomes in a cold climate, and pinpoint any research gaps. Of 1019 papers identified, 76 were selected for review. The papers described short-term health impacts associated with air pollutants. However, most papers removed the possible direct effect of temperature on pollution and health by adjusting for temperature. Only eight papers formally explored the modifying effect of temperatures. Five studies identified how extreme cold and warm temperatures aggravated mortality/morbidity associated with ozone, particles, and carbon-monoxide. The other three found no health associations with tested pollutants and temperature. Additionally, in most papers, emissions could not be attributed solely to traffic. In conclusion, evidence on the relationship between cold temperatures, traffic-related pollution, and related health outcomes is lacking. Therefore, targeted research is required to guide vehicle regulations, assess extreme weather-related risks in the context of climate change, and inform public health interventions.

Adverse birth outcomes (ABO) such as prematurity and small for gestational age confer a high risk of mortality and morbidity. ABO have been linked to air pollution; however, relationships with mixtures of industrial emissions are poorly understood. The exploration of relationships between ABO and mixtures is complex when hundreds of chemicals are analyzed simultaneously, requiring the use of novel approaches. We aimed to generate robust hypotheses spatially linking mixtures and the occurrence of ABO using a spatial data mining algorithm and subsequent geographical and statistical analysis. The spatial data mining approach aimed to reduce data dimensionality and efficiently identify spatial associations between multiple chemicals and ABO. We discovered co-location patterns of mixtures and ABO in Alberta, Canada (2006-2012). An ad-hoc spatial data mining algorithm allowed the extraction of primary co-location patterns of 136 chemicals released into the air by 6279 industrial facilities (National Pollutant Release Inventory), wind-patterns from 182 stations, and 333,247 singleton live births at the maternal postal code at delivery (Alberta Perinatal Health Program), from which we identified cases of preterm birth, small for gestational age, and low birth weight at term. We selected secondary patterns using a lift ratio metric from ABO and non-ABO impacted by the same mixture. The relevance of the secondary patterns was estimated using logistic models (adjusted by socioeconomic status and ABO-related maternal factors) and a geographic-based assignment of maternal exposure to the mixtures as calculated by kernel density. From 136 chemicals and three ABO, spatial data mining identified 1700 primary patterns from which five secondary patterns of three-chemical mixtures, including particulate matter, methyl-ethyl-ketone, xylene, carbon monoxide, 2-butoxyethanol, and n-butyl alcohol, were subsequently analyzed. The significance of the associations (odds ratio > 1) between the five mixtures and ABO provided statistical support for a new set of hypotheses. This study demonstrated that, in complex research settings, spatial data mining followed by pattern selection and geographic and statistical analyses can catalyze future research on associations between air pollutant mixtures and adverse birth outcomes.

Pollutant release and transfer registers (PRTRs) collect and provide information on chemicals released to the environment or otherwise managed as waste. They support the public’s right-to-know and provide useful information in gauging performance of facilities, sectors, and governments. The extent to which these data have been used in research, particularly in relation to human health, has not been documented. In this scoping review our objective was to learn from scholarly literature the extent and nature of the use of PRTR data in human health research. We performed literature searches (1994–2011) using various search engines and (or) key words. Articles selected for review were chosen following predefined criteria, to extract and analyze data. One hundred and eighty four papers were identified. Forty investigated possible relations with health outcomes: 33 of them identified positive associations. The rest explored other uses of PRTR data. Papers identified challenges, some imputable to the PRTR. We conclude that PRTR data are useful for research, including health-related studies, and have significant potential for prioritizing research needs that can influence policy, management, and ultimately human health. In spite of their inherent limitations, PRTRs represent a perfectible, unique useful source, whose application to human health research appears to be underutilized. Developing strategies to overcome these limitations could improve data quality and increase its utility in future environmental health research and policy applications.

Fish consumption is of great importance to children’s health and is essential for neurodevelopment, which begins in pregnancy and continues throughout early childhood and into adolescence. However, fish consumption presents conflicting health outcomes associated with its nutritional benefits and its adverse contaminant risks, because both avoiding fish as well as the consumption of contaminated fish can potentially harm children. This may be challenging to communicate. The present review was performed to assess the current knowledge and recommendations around ‘smart’ fish-consumption decisions. Health Canada advises, as well as other advisories and guides, that fish should be consumed for its health benefits, while also informing consumers, especially women and children, to limit certain fish consumption. The current literature must attempt to handle the challenges inherent in communicating the dilemmas of children’s fish consumption. Incorporation of new knowledge translation strategies are proposed as a means to raise the level of knowledge about optimal fish consumption practices.

As new environmental exposures are continuously identified, environmental influences on health are of growing concern. Knowledge regarding the impacts of environmental exposures is constantly evolving and is often incomplete. In this paper, we describe a multi-phased, multi-stakeholder engagement initiative involving diverse stakeholders with an interest in building a children's environmental health research agenda which would link with and support local practices and policies. The intent of this initiative was to identify priority research issues, themes and questions by implementing a tested Research Planning Model that encompassed the engagement of diverse stakeholders. Here, we describe the model application, which was specifically focused on children's health and the environment. A key component of the model was the ongoing stakeholder engagement process. This included two stakeholder forums, during which participants identified three main research themes (social determinants of health, environmental exposures and knowledge translation) and a short list of research questions. Other key components of the model included the development of a Global Sounding Board of key stakeholders, an Advisory Board and a Scientific Panel with mandates to review and prioritise the research questions. In our case, the Advisory Board and Scientific Panel prioritised questions that focused on environmental exposures related to children's respiratory outcomes. The stakeholder engagement described here is an evolving process with frequent changes of context, sustained by the commitment and dedication of the Children's Environment and Health Research planning team and the Advisory Board. In this article, we share the engagement process, outcomes, successes, challenges and lessons learned from this ongoing experience. Keywordsstakeholder engagement, children's health, environmental health, health research