Inequalities in Glycemic Control in Youth with Type 1 Diabetes Over Time: Intersectionality Between Socioeconomic Position and Race and Ethnicity

Author:

Liese Angela D1ORCID,Reboussin Beth A2,Kahkoska Anna R3,Frongillo Edward A4,Malik Faisal S5,Imperatore Giuseppina6,Saydah Sharon6,Bellatorre Anna7,Lawrence Jean M8,Dabelea Dana7ORCID,Mendoza Jason A9

Affiliation:

1. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA

2. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA

3. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

4. Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA

5. Department of Pediatrics, University of Washington, Seattle, WA, USA

6. Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA

7. Department of Epidemiology and LEAD Center, Colorado School of Public Health, Aurora, CO, USA

8. Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA

9. Fred Hutchinson Cancer Research Center, University of Washington, and Seattle Children’s Research Institute, Seattle, WA, USA

Abstract

Abstract Background Racial/ethnic health inequities have been well-documented among youth and young adults with type 1 diabetes (T1D), yet little is known about how socioeconomic position (SEP) intersects with the risk marker of race/ethnicity to predict inequities in longitudinal glycemic control. Purpose To identify patterns of SEP, race/ethnicity, and clinical characteristics that differentiate hemoglobin A1c (HbA1c) trajectories among youth and young adults after T1D diagnosis. Methods The SEARCH for Diabetes in Youth cohort includes youth with diabetes diagnosed from 2002 to 2006 and 2008 who were followed through 2015. We analyzed data from 1,313 youth and young adults with T1D with ≥3 HbA1c measures. Classification tree analysis identified patterns of baseline demographic, SEP, and clinical characteristic that best predicted HbA1c trajectories over an average of 8.3 years using group-based trajectory modeling. Results Two HbA1c trajectories were identified: Trajectory 1 (77%) with lower baseline HbA1c and mild increases (from mean 7.4% to 8.4%) and Trajectory 2 (23%) with higher baseline HbA1c and major increases (from 8.5% to 11.2%). Race/ethnicity intersected with different SEP characteristics among non-Hispanic white (NHW) than in non-whites. Public health insurance predicted high-risk Trajectory 2 membership in non-whites, whereas parental education, household structure, diagnosis age and glucose checking frequency predicted membership for NHW youth and young adults. Two characteristics, race/ethnicity and parental education alone identified 80% of the Trajectory 2 members. Conclusions Race/ethnicity intersects with multiple SEP and clinical characteristics among youth and young adults with T1D, which is associated with particularly high risk of poor long-term glycemic control.

Funder

Marilyn Owsley Clinical Research Center

South Carolina Clinical & Translational Research Institute

Medical University of South Carolina

National Institutes of Health

National Center for Advancing Translational Sciences

Seattle Children’s Hospital and the University of Washington

University of Colorado Pediatric Clinical and Translational Research Center

University of Colorado

University of Cincinnati

Ohio Department of Health

Centers for Disease Control and Prevention

National Institute of Diabetes and Digestive and Kidney Diseases

Kaiser Permanente Southern California

University of Colorado Denver

Cincinnati’s Children’s Hospital Medical Center

University of North Carolina at Chapel Hill

Seattle Children’s Hospital

Wake Forest University School of Medicine

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health,General Psychology

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