A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working examples
We present a standard method of constructing a SVI by incorporating factors from multiple social domains and levels in a social-ecological model. This SVI can be used to improve our understanding of social vulnerability and its impacts on the health of communities and individuals.
Authors
- Kenneth J. Rockwood (ORCID: https://orcid.org/0000-0002-6674-995X)
- Jasmine Mah (ORCID: https://orcid.org/0000-0003-4391-4286)
- Judith Godin (ORCID: https://orcid.org/0000-0002-0272-7268)
- Mario Ulises Pérez‐Zepeda (ORCID: https://orcid.org/0000-0003-4374-976X)
- Melissa K. Andrew (ORCID: https://orcid.org/0000-0001-7514-8972)
- Olga Theou (ORCID: https://orcid.org/0000-0001-6460-782X)
- Jodie Lynn Penwarden
Institutions
- Dalhousie University (CA)
- Nova Scotia Health Authority (CA)
- Instituto Nacional de Pediatria (MX)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1371/journal.pone.0315474
- Citations
- 7
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.70
Funders
- Dalhousie Medical Research Foundation
- Consortium canadien en neurodégénérescence associée au vieillissement
- Government of Canada
- Pierre Elliott Trudeau Foundation
- Alzheimer Society
- Canada Foundation for Innovation
- Dalhousie University
- Canadian Institutes of Health Research