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Ryan Ramphul

Assistant Professor

The University of Texas Health Science Center at Houston
Country flagUnited States

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

UNITED STATES
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Wan-Tai Au-Yeung

Assistant Professor

Oregon Health & Science University

UNITED STATES
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Gabriela Gallegos

Associate Professor

The University of Texas Health Science Center at Houston School of Public Health

UNITED STATES
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Fuqing Wu

Assistant Professor

The University of Texas Health Science Center at Houston School of Public Health

UNITED STATES
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Miryoung Lee

Associate Professor

The University of Texas Health Science Center at Houston

UNITED STATES
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Xiaofan Huang

Baylor College of Medicine

UNITED STATES
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Chao-Yi Wu

Assistant Professor

Massachusetts General Hospital

UNITED STATES
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Serena Rodriguez

Assistant Professor

The University of Texas Health Science Center at Houston School of Public Health

UNITED STATES
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Zachary Beattie

Associate Professor

Oregon Health & Science University

UNITED STATES
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Justin Clark

Assistant Professor

Baylor College of Medicine

UNITED STATES
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Daniel J. DeSalvo

Assistant Professor

Baylor College of Medicine

UNITED STATES
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Jose-Miguel Yamal

Associate Professor

University of Texas School of Public Health

UNITED STATES
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Jeffrey Kaye

Oregon Health & Science University

UNITED STATES
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Hiroko Dodge

Professor of Neurology, Director of Research Analytics, Interdisciplinary Brain Center

Harvard University

UNITED STATES
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Ashley Butler

Associate Professor

Baylor College of Medicine

UNITED STATES
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Marcia de Oliveira Otto

The University of Texas Health Science Center at Houston School of Public Health

UNITED STATES
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