Categories and categorizations in migration and health research
Abstract Background Research on migration and health is growing globally along with calls for the creation of larger data infrastructures. Quantitative research is often regarded as central to evidence-based public health decision-making, which is frequently praised for its ability to ensure transparency, replicability, and generalizability. Despite the advantages of large-scale datasets, discussions about the scope of available information and common practices of categorization remain limited. In this presentation, I aim to reflect on how our decisions, particularly around categorization practices, are not neutral, but rather fundamental to the research we produce. I will focus on the implications of these practices in quantitative studies on migration and health. Methods I will use empirical studies and systematic reviews to identify the main debates in the area of migration and health research and to reflect on the role of common categorizations in shaping such discussions. I will accompany evidence with my personal experience as a researcher working in this area. Results Research on migration and health is strongly influenced by the debates (and tensions) that have shaped health research in relation to other social categories: race and ethnicity - categories that are often used interchangeably. Categorization practices have been key to reinforcing the links between these social categories, thus limiting the opportunity to discuss specific migration-related issues. Conclusions Discussions about categories and categorizations (including who should be involved in these decisions) are essential to the development of ethical research practices and therefore should take pride of place in the co-production agenda.
Institutions
- Stockholm University (SE)
- Centre for Health Equity Studies (SE)
Publication Details
- Journal
- European Journal of Public Health
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1093/eurpub/ckaf161.480
- Primary Topic
- Paleontology and Evolutionary Biology
- Type
- article
- Field-Weighted Citation Impact
- 0.00