Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Aug 10;44(10):2320-2328.
doi: 10.2337/dc20-2983. Online ahead of print.

Disparities in Hemoglobin A1c Testing During the Transition to Adulthood and Association With Diabetes Outcomes in Youth-Onset Type 1 and Type 2 Diabetes: The SEARCH for Diabetes in Youth Study

Collaborators, Affiliations

Disparities in Hemoglobin A1c Testing During the Transition to Adulthood and Association With Diabetes Outcomes in Youth-Onset Type 1 and Type 2 Diabetes: The SEARCH for Diabetes in Youth Study

Katherine A Sauder et al. Diabetes Care. .

Abstract

Objective: To identify correlates of hemoglobin A1c (HbA1c) testing frequency and associations with HbA1c levels and microvascular complications in youth-onset diabetes.

Research design and methods: The SEARCH for Diabetes in Youth study collected data from individuals diagnosed with diabetes before age 20 at 8 years (n=1,885 type 1, n=230 type 2) and 13 years (n=649 type 1, n = 84 type 2) diabetes duration. We identified correlates of reporting ≥3 HbA1c tests/year using logistic regression. We examined associations of HbA1c testing with HbA1c levels and microvascular complications (retinopathy, neuropathy, or nephropathy) using sequentially adjusted linear and logistic regression.

Results: For type 1 diabetes, odds of reporting ≥3 HbA1c tests/year at 8 and 13 years diabetes duration decreased with older age at diagnosis (odds ratio [OR] 0.91 [95% CI 0.88-0.95]), longer duration of diabetes (OR 0.90 [0.82-0.99]), not having a personal doctor (OR 0.44 [0.30-0.65]), and lapses in health insurance (OR 0.51 [0.27-0.96]). HbA1c testing ≥3 times/year over time was associated with lower HbA1c levels (OR -0.36% [-0.65 to -0.06]) and lower odds of microvascular complications (OR 0.64 [0.43-0.97]) at 13 years duration, but associations were attenuated after adjustment for HbA1c testing correlates (OR -0.17 [-0.46 to 0.13] and 0.70 [0.46-1.07], respectively). For type 2 diabetes, not seeing an endocrinologist decreased the odds of reporting ≥3 HbA1c tests/year over time (OR 0.19 [0.06-0.63]), but HbA1c testing frequency was not associated with HbA1c levels or microvascular complications.

Conclusions: We observed disparities in HbA1c testing frequency predominately by health care-related factors, which were associated with diabetes outcomes in type 1 diabetes.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Sociodemographic and clinical correlates of HbA1c testing cross sectionally at the first SEARCH follow-up visit for type 1 diabetes (top) and type 2 diabetes (bottom). Data are OR (95% CI) for reporting ≥3 tests/year relative to those reporting <3 tests/year. *Core variables of age at diagnosis, diabetes duration, sex, race/ethnicity, and clinical site were not subject to stepwise selection. Candidate variables included parental education at baseline, household income at baseline, diabetes treatment, diabetes care provider, having a personal doctor, having problems with the cost of care in the prior 12 months, type of health insurance, and having continuous health insurance in the prior year. Nonsignificant core variables and nonselected candidate variables are not shown.
Figure 2
Figure 2
Sociodemographic and clinical correlates of HbA1c testing longitudinally at the first and second SEARCH follow-up visits for type 1 diabetes (top) and type 2 diabetes (bottom). Data are OR (95% CI) for reporting ≥3 tests/year at both visits relative to those reporting <3 tests/year at either visit. *Core variables of age at diagnosis, diabetes duration, sex, race/ethnicity, and clinical site were not subject to stepwise selection. Candidate variables included parental education at baseline, household income at baseline, diabetes treatment, diabetes care provider, having a personal doctor, having problems with the cost of care in the prior 12 months, type of health insurance, and having continuous health insurance in the prior year. Nonsignificant core variables and nonselected candidate variables are not shown. †All variables were allowed to compete in the type 2 model because of the small sample size; only diabetes provider was retained.

References

    1. Divers J, Mayer-Davis EJ, Lawrence JM, et al. . Trends in incidence of type 1 and type 2 diabetes among youths - selected counties and Indian reservations, United States, 2002-2015. MMWR Morb Mortal Wkly Rep 2020;69:161–165 - PMC - PubMed
    1. Kahkoska AR, Shay CM, Crandell J, et al. . Association of race and ethnicity with glycemic control and hemoglobin A1c levels in youth with type 1 diabetes. JAMA Netw Open 2018;1:e181851. - PMC - PubMed
    1. Dabelea D, Stafford JM, Mayer-Davis EJ, et al. .; SEARCH for Diabetes in Youth Research Group . Association of type 1 diabetes vs type 2 diabetes diagnosed during childhood and adolescence with complications during teenage years and young adulthood. JAMA 2017;317:825–835 - PMC - PubMed
    1. American Diabetes Association . 6. Glycemic targets: standards of medical care in diabetes-2021. Diabetes Care 2021;44(Suppl. 1):S73–S84 - PubMed
    1. American Diabetes Association . 13. Children and adolescents: standards of medical care in diabetes-2021. Diabetes Care 2021;44(Suppl. 1):S180–S199 - PubMed