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Beyond Race Disparities: Accounting for Socioeconomic Status in Diabetes Self-Care
Lyndsay A Nelson1, Michael T Ackerman2, Robert A Greevy2
1Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee.
Introduction:
Among patients with type 2 diabetes, racial disparities are prevalent across a variety of outcomes; however, inconsistent disparities in determinants of outcomes warrants exploring the impact of other, related factors. This study sought to examine whether disparities in health literacy, numeracy, self-care behaviors, and HbA1c persisted between non-Hispanic blacks and non-Hispanic whites after applying a robust adjustment for socioeconomic status (SES).
Methods:
From 2016 to 2018, adult patients with type 2 diabetes (N=444) were recruited from primary care clinics. Participants self-reported demographics; indicators of SES (i.e., income, education, health insurance, housing status, and financial strain); subjective health literacy and numeracy; and self-care behaviors. Participants also completed an HbA1c test. In 2018, differences were examined between non-Hispanic blacks and non-Hispanic whites in health literacy, numeracy, self-care, and HbA1c, first unadjusted and then adjusted using propensity score weighting.
Results:
In unadjusted analyses, compared with non-Hispanic whites, non-Hispanic blacks had lower health literacy (p=0.039) and numeracy (p<0.001); less medication adherence (p=0.009); use of information for dietary decisions (p=0.013); and problem eating behaviors (p<0.001; i.e., non-Hispanic blacks reported fewer problems); and higher HbA1c levels (p=0.005). After adjusting for all SES indicators, only the reverse disparity in problem eating behaviors (p=0.016) and the disparity in HbA1c (p=0.011) remained.
Conclusions:
Findings highlight the importance of considering SES when examining disparities in health-related skills and behaviors. Moving beyond education and income to inclusion of more comprehensive markers of SES can improve understanding of how SES may contribute to disparities and the ability to appropriately target factors leading to inequality.
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