Technology use in youth with type 1 diabetes and language of care other than English

Abstract Objectives Our primary aim was to describe continuous glucose monitor (CGM) and insulin pump use in youth with T1D with a preferred language of care other than English (LOE) and examine associations between diabetes technology use and hemoglobin A 1c (HbA 1c ) in this population. Methods We assessed baseline technology use for youth with LOE and T1D seen in diabetes clinics at a single center between February 2022 and February 2023. A two-sample t-test was used to compare HbA 1c values between groups. A linear regression model was used to examine differences in HbA 1c between the 3-level technology groups with Tukey-adjusted pairwise comparisons. Results Ninety-four youth with T1D and LOE with complete data on technology use were included in analysis. At baseline 66 % were using diabetes technology with 42 (45 %) using CGM only, 1 (1 %) using insulin pump only, 19 (20 %) using both insulin pump and CGM, and 32 (34 %) not using any technology. HbA 1c was significantly lower in the technology use group (Mean=9.1 %, SD=2.4) compared to the non-technology use group (Mean=10.5 %, SD=2.2) (p=0.01). Conclusions Despite advances in technology for diabetes management, about one-third of youth with T1D and LOE were not using any diabetes technology. Diabetes technology use in this group was associated with lower HbA 1c . Further work should be done to increase diabetes technology use in youth with T1D and LOE.

Authors

Institutions

Publication Details

Journal
Journal of Pediatric Endocrinology and Metabolism
Published
2026-10-24
DOI
https://doi.org/10.1515/jpem-2026-0370
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technology use in youth with type 1 diabetes and language of care other than English

Alissa Jeanne Curda Roberts, Isabella Niu, Kristen E. Carlin, Samantha Goldklang et al.
Journal of Pediatric Endocrinology and Metabolism
Diabetes Management and Research
article

Technology use in youth with type 1 diabetes and language of care other than English

Alissa Jeanne Curda Roberts, Isabella Niu, Kristen E. Carlin, Samantha Goldklang, Meenal Gupta
article en

Abstract

Abstract Objectives Our primary aim was to describe continuous glucose monitor (CGM) and insulin pump use in youth with T1D with a preferred language of care other than English (LOE) and examine associations between diabetes technology use and hemoglobin A 1c (HbA 1c ) in this population. Methods We assessed baseline technology use for youth with LOE and T1D seen in diabetes clinics at a single center between February 2022 and February 2023. A two-sample t-test was used to compare HbA 1c values between groups. A linear regression model was used to examine differences in HbA 1c between the 3-level technology groups with Tukey-adjusted pairwise comparisons. Results Ninety-four youth with T1D and LOE with complete data on technology use were included in analysis. At baseline 66 % were using diabetes technology with 42 (45 %) using CGM only, 1 (1 %) using insulin pump only, 19 (20 %) using both insulin pump and CGM, and 32 (34 %) not using any technology. HbA 1c was significantly lower in the technology use group (Mean=9.1 %, SD=2.4) compared to the non-technology use group (Mean=10.5 %, SD=2.2) (p=0.01). Conclusions Despite advances in technology for diabetes management, about one-third of youth with T1D and LOE were not using any diabetes technology. Diabetes technology use in this group was associated with lower HbA 1c . Further work should be done to increase diabetes technology use in youth with T1D and LOE.

Journal of Pediatric Endocrinology and Metabolism
Center for Infectious Disease Research (US), University of Washington (US), Seattle Children's Hospital (US)
Openalex Percentile: Top 11%
Diabetes Management and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon