Association of community socioeconomic deprivation with evidence of reduced kidney function at time of type 2 diabetes diagnosis. (September 2021)

• Record Type: Journal Article
• Authors: Hirsch, Annemarie G.; Nordberg, Cara M.; Chang, Alexander; Poulsen, Melissa N.; Moon, Katherine A.; Siegel, Karen R.; Rolka, Deborah B.; Schwartz, Brian S.
• Is Part Of: SSM - population health. Volume 15(2021)
• Publication Date: 2021-09
• Subjects: Community socioeconomic deprivation -- Urbanicity -- Type 2 diabetes -- Kidney; Social medicine -- Periodicals; Medical anthropology -- Periodicals; Public health -- Periodicals; Psychology -- Periodicals; Medicine -- Periodicals; 362.105
• DOI: 10.1016/j.ssmph.2021.100876
• Languages: English
• ISSNs: 2352-8273

Abstract

Abstract: Background: While there are known individual-level risk factors for kidney disease at time of type 2 diabetes diagnosis, little is known regarding the role of community context. We evaluated the association of community socioeconomic deprivation (CSD) and community type with estimated glomerular filtration rate (eGFR) when type 2 diabetes is diagnosed. Methods: This was a retrospective cohort study of 13, 144 adults with newly diagnosed type 2 diabetes in Pennsylvania. The outcome was the closest eGFR measurement within one year prior to and two weeks after type 2 diabetes diagnosis, calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equation. We used adjusted multinomial regression models to estimate associations of CSD (quartile 1, least deprivation) and community type (township, borough, city) with eGFR and used adjusted generalized estimating equation models to evaluate whether community features were associated with the absence of diabetes screening in the years prior to type 2 diabetes diagnosis. Results: Of the participants, 1279 (9.7%) had hyperfiltration and 1377 (10.5%) had reduced eGFR. Women were less likely to have hyperfiltration and more likely to have reduced eGFR. Black (versus White) race was positively associated with hyperfiltration when the eGFR calculation was corrected for race but inversely associated without the correction. Medical Assistance (ever versus never) was positively associated with reduced eGFR. Higher CSD and living in a city were each positively associated (odds ratio [95% confidence interval]) with reduced eGFR (CSD quartiles 3 and 4 versus quartile 1, 1.23 [1.04, 1.46], 1.32 [1.11, 1.58], respectively; city versus township, 1.38 [1.15, 1.65]). These features were also positively associated with the absence of a type 2 diabetes screening measure. Conclusions: In a population-based sample, more than twenty percent had hyperfiltration or reduced eGFR at time of type 2 diabetes diagnosis. Individual- and community-level factors were associated with these outcomes. Highlights: Community factors are associated with kidney health at type 2 diabetes diagnosis. Community factors are associated with type 2 diabetes screening. Race and kidney health associations differ based on how kidney health is measured. Men have greater risk of hyperfiltration at type 2 diabetes diagnosis. Women have greater risk of reduced kidney function at type 2 diabetes diagnosis.