OR20-08 Interaction Between Ethnicity Deprivation and the use of CGM on diabetes outcomes -A nationwide study from the association of British clinical diabetologists

Abstract Disclosure: H. Deshmukh: HD has received travel award from Abbott to present at various meetings. E. Wlmot: E.G.W. has received personal fees from Abbott, AstraZeneca, Dexcom, Eli Lilly, Embecta, Insulet, Medtronic, Novo Nordisk, Roche, Sanofi, Sinocare, and Ypsomed and research support from Abbott, Embecta. C. Walton: None. R. Ryder: None. T. Sathyapalan: .S. serves on the speakers bureau for Novo Nordisk Foundation.. Aim To examine the interaction between ethnicity and socioeconomic deprivation on glycemic control and the effectiveness of continuous glucose monitoring (CGM) in individuals with diabetes in the United Kingdom. Methods This retrospective observational study analyzed data from the FreeStyle Libre national audit, including 17,973 participants aged ≥18 years with type 1 or type 2 diabetes. Ethnicity was categorized as White, Pakistani/Bangladeshi, Black, Indian, and Mixed/Other. Socioeconomic deprivation was classified into four levels (low, moderate, high, and very high) based on the Index of Multiple Deprivation (IMD). Baseline and follow-up HbA1c were compared pre- and post-CGM use. Multivariable linear regression models assessed the independent and interactive effects of ethnicity and deprivation on glycemic outcomes, controlling for age, gender, diabetes type, duration of diabetes, and baseline BMI. Results Ethnicity and deprivation were independently associated with glycemic control. Black participants had the highest baseline HbA1c, while Indian participants had significantly lower levels compared to White counterparts (p < 0.001). Socioeconomic deprivation was strongly linked to higher baseline HbA1c levels, with participants in very high deprivation areas exhibiting the highest HbA1c (β = 4.54, p < 0.001). CGM use significantly reduced HbA1c across all groups, with the largest reductions in very high deprivation areas (-8.54%, p < 0.001). Interaction analysis showed no synergistic effect between ethnicity and deprivation. There was a similar magnitude of reduction in diabetes-related distress observed across different ethnicities and deprivation categories. Conclusion Both ethnicity and deprivation independently impact glycemic outcomes in diabetes. CGM improves glycemic control across all groups, with the greatest benefits observed in highly deprived populations. Addressing structural inequities and socioeconomic barriers is essential to reducing disparities and fostering equitable diabetes care. Presentation: Sunday, July 13, 2025

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Journal
Journal of the Endocrine Society
Published
2025-10-01
DOI
https://doi.org/10.1210/jendso/bvaf149.1033
Primary Topic
Dietary Effects on Health
Type
article
Field-Weighted Citation Impact
0.00

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article

OR20-08 Interaction Between Ethnicity Deprivation and the use of CGM on diabetes outcomes -A nationwide study from the association of British clinical diabetologists

Thozhukat Sathyapalan, Robert E. J. Ryder, Harshal Deshmukh, Chris Walton et al.
Journal of the Endocrine Society
Dietary Effects on Health
article

OR20-08 Interaction Between Ethnicity Deprivation and the use of CGM on diabetes outcomes -A nationwide study from the association of British clinical diabetologists

Thozhukat Sathyapalan, Robert E. J. Ryder, Harshal Deshmukh, Chris Walton, Emma Wlmot
article en

Abstract

Abstract Disclosure: H. Deshmukh: HD has received travel award from Abbott to present at various meetings. E. Wlmot: E.G.W. has received personal fees from Abbott, AstraZeneca, Dexcom, Eli Lilly, Embecta, Insulet, Medtronic, Novo Nordisk, Roche, Sanofi, Sinocare, and Ypsomed and research support from Abbott, Embecta. C. Walton: None. R. Ryder: None. T. Sathyapalan: .S. serves on the speakers bureau for Novo Nordisk Foundation.. Aim To examine the interaction between ethnicity and socioeconomic deprivation on glycemic control and the effectiveness of continuous glucose monitoring (CGM) in individuals with diabetes in the United Kingdom. Methods This retrospective observational study analyzed data from the FreeStyle Libre national audit, including 17,973 participants aged ≥18 years with type 1 or type 2 diabetes. Ethnicity was categorized as White, Pakistani/Bangladeshi, Black, Indian, and Mixed/Other. Socioeconomic deprivation was classified into four levels (low, moderate, high, and very high) based on the Index of Multiple Deprivation (IMD). Baseline and follow-up HbA1c were compared pre- and post-CGM use. Multivariable linear regression models assessed the independent and interactive effects of ethnicity and deprivation on glycemic outcomes, controlling for age, gender, diabetes type, duration of diabetes, and baseline BMI. Results Ethnicity and deprivation were independently associated with glycemic control. Black participants had the highest baseline HbA1c, while Indian participants had significantly lower levels compared to White counterparts (p < 0.001). Socioeconomic deprivation was strongly linked to higher baseline HbA1c levels, with participants in very high deprivation areas exhibiting the highest HbA1c (β = 4.54, p < 0.001). CGM use significantly reduced HbA1c across all groups, with the largest reductions in very high deprivation areas (-8.54%, p < 0.001). Interaction analysis showed no synergistic effect between ethnicity and deprivation. There was a similar magnitude of reduction in diabetes-related distress observed across different ethnicities and deprivation categories. Conclusion Both ethnicity and deprivation independently impact glycemic outcomes in diabetes. CGM improves glycemic control across all groups, with the greatest benefits observed in highly deprived populations. Addressing structural inequities and socioeconomic barriers is essential to reducing disparities and fostering equitable diabetes care. Presentation: Sunday, July 13, 2025

Journal of the Endocrine SocietyVol. 9(Supplement_1)
University of Nottingham (GB), University of Hull (GB), Birmingham City Hospital (GB), Hull University Teaching Hospitals NHS Trust (GB), Mackay Base Hospital (AU)
University of Texas Health Science Center at Houston
Openalex Percentile: Top 62%
Dietary Effects on Health
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