Sign up for a new account.
And get access to
The latest T1D content
Research that matters
Our daily questions
Sign up by entering your info below.
Reset Your Password
We will email you instructions to reset your
Diabetes outcomes are affected by socioeconomic factors including health insurance. While some research has examined the impact of health insurance in people with type 1 diabetes (T1D) (e.g., disruptions in health insurance on health outcomes) , it is less clear whether health insurance type (e.g., private versus government-sponsored) shares a unique association with diabetes outcomes. Thus, we examined relationships between demographics, socioeconomic status, and health insurance type with HbA1c in adults in the T1D Exchange Registry – an online longitudinal study of people living with T1D. Participants (N = 7725) were 42.2 years old (SD = 14.6) on average and 75.4% reported their gender as female. Most participants (92.2%) reported their race as White and 5.1% identified as Hispanic. Many participants used insulin pumps (71.3%) and continuous glucose monitors (CGM, 83.0%) . Self-reported HbA1c was 7.3% (SD = 1.58) on average. Health insurance type was categorized into private (79.0%) , Medicaid (9.6%) , Medicare (9.5%) , or no health insurance (1.9%) . Health insurance type, demographic factors (i.e., age, gender, race, ethnicity) , socioeconomic factors (i.e., income, education level) , and diabetes technology use (i.e., insulin pump, CGM) were entered simultaneously into a linear regression with HbA1c as the outcome variable. Private insurance was used as the reference group. Statistical significance was set at p < .05. We found lower HbA1c was associated with identifying race as White (Β = -0.21) , having higher income (Β = -0.10) , having higher education (Β = -0.17) , using an insulin pump (Β = -0.46) and using CGM (Β = -0.72) . Higher HbA1c was associated with identifying as female (Β = 0.14) and having either Medicaid (Β = 0.23) or no health insurance (Β = 0.30) . These results suggest, above and beyond other socioeconomic and demographic factors, health insurance type may contribute to small but meaningful differences in HbA1c.
This site uses Akismet to reduce spam. Learn how your comment data is processed.