Skin Deep: Enhanced Variable May Help Explain Racial Disparities in Type 2 Diabetes and Prediabetes

Celia C. Lo, Joanna Lara, Tyrone Cheng

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Introduction: The study refined definitions of type 2 diabetes and prediabetes (Pre-/T2D) via its four-category outcome variable. Respondents were identified as Pre-/T2D on the basis of (a) doctor’s diagnosis only (i.e., managed Pre-/T2D); (b) biomarker only (i.e., undiagnosed Pre-/T2D); or (c) both diagnosis and biomarker (i.e., unmanaged Pre-/T2D). The reference was Pre-/T2D not indicated. We linked the outcome to social structural and social support factors, health care-related factors, mental disorder, and lifestyle variables, for each racial/ethnic group. Methods: We used the 2011–2012 and 2013–2014 National Health and Nutrition Examination Surveys to measure the four-category outcome and examine race/ethnicity’s role in explaining the outcome. Results: We found Pre-/T2D to be associated with age, BMI, physical activity, income, education, receiving health services, and other factors. A moderating role for race/ethnicity was also confirmed. Conclusion: The racial disparities observed in our three main categories generally resulted from high levels of undiagnosed Pre-/T2D and high levels of diagnosed but unmanaged Pre-T2D. Race/ethnicity’s moderating role generally indicated that, through the factors BMI, age, and receiving health services, minority status (with its attendant disadvantages) could facilitate undiagnosed Pre-/T2D as well as Pre-/T2D indicated concurrently by diagnosis and biomarker.

Original languageEnglish
Pages (from-to)837-850
Number of pages14
JournalDiabetes Therapy
Volume8
Issue number4
DOIs
StatePublished - 1 Aug 2017

Keywords

  • Biomarker
  • Multiple disadvantage model
  • Racial disparities
  • Type 2 diabetes and prediabetes (Pre-/T2D)
  • Undiagnosed Pre-/T2D
  • Unmanaged Pre-/T2D

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