Land-Based Community Monitoring of Selenium in the Canadian Rockies: Stoney Nakoda Women's Health and Well-Being

  • Holloway, Alison Christine A.C. (PI)
  • Baker, Janelle (CoPI)
  • Petrik, Jim J. J.J. (CoPI)
  • Snow, William Thomas W.T. (CoPI)
  • Todd, Zoe Z. (CoPI)

Project: Research

Project Details


In collaboration with the Stoney Nakoda Nation, we have developed this study to assess the effects of exposure to contaminants originating from existing coal mining activity in Bighorn Country on reproductive health outcomes, and to create a baseline for areas that are being considered for coal mining in the future. We have designed this project as a participatory community-based project to have reciprocal and relational exchanges of information and to facilitate the co-production (and analysis) of knowledge in partnership with Stoney Nakoda Nations land-based knowledge holders. Results from this study will provide empirical evidence of concentrations of selenium in traditional foods with dietary/nutritional and cultural significance to Stoney Nakoda Nations members, which, along with Indigenous Knowledge Indicators, will address the community's existing concerns regarding the safety of consuming foods near coal mining activities in Bighorn Country. Importantly we will be exploring gender-specific Indigenous Knowledge Indicators about changes in the environment and food safety; women's voices have traditionally not been considered despite their close connection with the land and food gathering and preparation. Finally, we will complete lab studies, with the participation of Stoney Nakoda Nations members to link selenium measures with tangible reproductive outcomes. As a result of these studies Stoney Nakoda Nations members will be able to appreciate the relative contribution of contaminants in local diet items to impaired reproductive health.

Effective start/end date1/04/2231/03/27


  • Institute of Indigenous Peoples' Health: $292,995.00


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.