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View Metrics. Research Letter. Michael C. Wang, BA 1 ; Nilay S. Carnethon, PhD 1 ; et al Matthew J. Khan, MD, MSc 1,2. Invited Commentary. Access through your institution. Add or change institution. Limit characters. Limit 25 characters.

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Your comment submission was successful. Please allow up to 2 business days for review, approval, and posting. Reporting data by race and ethnicity: why researchers must be considered in delivering key messages.

Wang et al. Overall, the authors report that non-Hispanic Black and Mexican American adults are diagnosed with diabetes, on average, 4 to 7 years earlier than non-Hispanic white adults. These findings have important long-term implications owing to the increased risk for mortality and vascular complications associated with younger age at diabetes diagnosis [2].

For example, in Table 1 there is a clear difference in education attainment by different racial and ethnic groups, yet no attempt has been made to examine diabetes diagnosis stratified by this factor. Instead, the authors focus exclusively on race and do not offer alternative explanations for the root causes of the observed disparities between race and ethnic groups, such as poverty, inadequate access to healthcare, or structural racism.

This messaging, coupled with an individual-level solution, can inadvertently reinforce structural racism by masking racial stereotypes within seemingly factual claims [3].

Indeed, in a dataset such as NHANES where several social determinant of health factors are routinely collected, it is, in our opinion, negligent not to explore the upstream factors that may explain these findings. It is time we stop reporting our findings by race and ethnicity without careful consideration of the contextual information in which these differences arise. References 1. On the other hand, there were about Loading statistic Show source.

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