Analyzing multiple types of discrimination using implicit and explicit measures, comparing target vs. Dominant groups, in a study of smoking/vaping among community health center members in Boston, Massachusetts (2020–2022)
Implicit and explicit discrimination measures yielded distinct yet complementary insights, highlighting the importance of both. Meta-regression provided evidence of health impacts across discrimination types. Future research on discrimination and health, in diverse country contexts, should consider using both implicit and explicit measures to analyze health impacts across multiple types of discrimination.
Authors
- Kenneth Hugh Mayer (ORCID: https://orcid.org/0000-0001-7460-733X)
- Donna Bright
- Jarvis T. Chen (ORCID: https://orcid.org/0000-0002-7412-1783)
- Guale Valdez
- Sari L. Reisner (ORCID: https://orcid.org/0000-0001-7868-4746)
- Merrily LeBlanc (ORCID: https://orcid.org/0000-0002-0083-8191)
- Nancy Krieger (ORCID: https://orcid.org/0000-0002-4815-5947)
- Apriani Oendari (ORCID: https://orcid.org/0000-0002-0464-5784)
- Tanveer Khan (ORCID: https://orcid.org/0000-0001-5970-3972)
- N. Peter Johnson
- Maddalena Marini (ORCID: https://orcid.org/0000-0001-9175-7938)
- Sharon Callender
Institutions
- Northeastern University (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- University of Campania "Luigi Vanvitelli" (IT)
- Neighborhood Health (US)
- Community Health Center (US)
- Center for Community Health Education Research and Service (US)
- Fenway Health (US)
Publication Details
- Journal
- International Journal for Equity in Health
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1186/s12939-025-02456-9
- Citations
- 3
- Primary Topic
- Racial and Ethnic Identity Research
- Type
- article
- Field-Weighted Citation Impact
- 12.60
Funders
- National Institutes of Health