A clinic assessed glycemic control (HbA1c < 7%) among adults with type 2 diabetes. Researchers used intersectionality to examine how gender identity and housing stability jointly relate to outcomes.
Percent at goal:
- Cis men, stable housing: 58
- Cis men, unstable housing: 41
- Trans/nonbinary, stable housing: 52
- Trans/nonbinary, unstable housing: 27
Based on the data, which conclusion about health disparities is most consistent with intersectionality?
- Housing instability appears to have a stronger negative association with glycemic control among trans/nonbinary patients, suggesting compounding barriers at the intersection of identities. (correct answer)
- Gender identity is the only relevant factor because trans/nonbinary patients have lower control in both housing categories.
- The pattern is best explained by role strain theory, since managing diabetes is a social role that creates stress for everyone equally.
- Stable housing eliminates all disparities, so intersectionality is unnecessary for interpreting these results.
Explanation: This question assesses understanding of intersectionality in health disparities, examining how gender identity and housing stability together influence glycemic control in diabetes patients. Intersectionality theorizes that multiple identities intersect to form distinct experiences of oppression or privilege that transcend single-category analysis. The data show control rates declining with unstable housing, with a steeper drop among trans/nonbinary patients compared to cis men. Choice A is correct because it recognizes the amplified negative association for trans/nonbinary individuals with unstable housing, pointing to compounded barriers like discrimination and resource instability. Choice B misinterprets intersectionality by claiming gender identity alone drives the disparity, overlooking how housing modifies the effect differently across groups. A transferable check involves verifying if disparities in one subgroup exceed the sum of individual factors, indicating intersectional compounding. This ensures recognition of unique vulnerabilities at identity intersections for targeted health equity efforts.