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Ryan Ramphul
Assistant Professor
Research Interests
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Articles (10)
Year:
2026
Year:
2026
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Background. Youth with Type 1 diabetes (T1D) who are Black, Hispanic, or lower socioeconomic status (SES) have lower rates of diabetes device use, higher hemoglobin A1c (HbA1c), and higher rates of diabetic ketoacidosis (DKA). However, the associations of individual-level social determinants of health (SDoH) and neighborhood-level factors with device use and clinical outcomes are unknown. Area deprivation index (ADI) is a neighborhood level measure of SES reported in deciles (range 1–10 with 10 representing most deprived neighborhood). Methods. We evaluated the association of ADI and other SDoH factors with pump/continuous glucose monitor (CGM) use, HbA1c, and DKA in 1,461 youth with T1D (50% female, age 12.8 ± 3.6 years, HbA1c 8.7 ± 2.1%, 52% pump, 70% CGM) seen between October 1, 2020 and September 30, 2021 at a large pediatric diabetes center. Multiple logistic regression and multiple linear regression analyses were used to determine statistically significant associations adjusting for potential confounders. Results. Youth were less likely to use an insulin pump if they lived in a higher ADI neighborhood, were Black or Hispanic, had Medicaid or were uninsured, or received government assistance (e.g., Supplemental Security Income, Supplemental Nutritional Assistance Program). Youth were less likely to use a CGM if they lived in a higher ADI neighborhood, were Black or Hispanic, had Medicaid or were uninsured. Youth had higher risk of DKA event in the past year if they used government assistance, whereas pump and CGM use were associated with lower DKA risk. HbA1c (%) increased by 0.09 (95% CI: 0.05, 0.13) per unit increase in ADI. HbA1c was 0.62 lower (95% CI: −0.82, −0.42) in pump users vs. nonusers and 0.78 lower (95% CI: −0.99, −0.56) in CGM users vs. nonusers. Conclusions. Interventions that tailor care plans to address SDoH in families living in deprived neighborhoods may be needed to increase successful technology uptake, optimize HbA1c, and prevent DKA.
Year:
2023
Year:
2023
Year:
2023
Collaborators (16)
Ashraf Yaseen
Associate Professor
The University of Texas Health Science Center at Houston
Wan-Tai Au-Yeung
Assistant Professor
Oregon Health & Science University
Gabriela Gallegos
Associate Professor
The University of Texas Health Science Center at Houston School of Public Health
Fuqing Wu
Assistant Professor
The University of Texas Health Science Center at Houston School of Public Health
Miryoung Lee
Associate Professor
The University of Texas Health Science Center at Houston
Xiaofan Huang
Baylor College of Medicine
Chao-Yi Wu
Assistant Professor
Massachusetts General Hospital
Serena Rodriguez
Assistant Professor
The University of Texas Health Science Center at Houston School of Public Health
Zachary Beattie
Associate Professor
Oregon Health & Science University
Justin Clark
Assistant Professor
Baylor College of Medicine
Daniel J. DeSalvo
Assistant Professor
Baylor College of Medicine
Jose-Miguel Yamal
Associate Professor
University of Texas School of Public Health
Jeffrey Kaye
Oregon Health & Science University
Hiroko Dodge
Professor of Neurology, Director of Research Analytics, Interdisciplinary Brain Center
Harvard University
Ashley Butler
Associate Professor
Baylor College of Medicine
Marcia de Oliveira Otto
The University of Texas Health Science Center at Houston School of Public Health
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