ArticleThe Journal of pediatrics2021
Cyber School Is a Marker of Youth with High-Risk Diabetes.
Article in The Journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Glucose Metrics During School Hours in Primary School-Aged Children With Type 1 Diabetes: A Population-Based Cohort Study.Journal of paediatrics and child health · 2026Article
- School-Partnered Collaborative Care (SPACE) for Pediatric Type 1 Diabetes: Development and Usability Study of a Virtual Intervention With Multisystem Community Partners.JMIR diabetes · 2025Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo explore the health characteristics of youth with diabetes in cyber school compared with peers with diabetes in traditional brick-and-mortar schools. STUDY
designThis was a single-center cross-sectional study of youth with type 1 or type 2 diabetes in K-12 education during academic year 2017-2018. Youth enrolled in cyber school were matched with traditional school peers by age, sex, race, diagnosis, and diabetes duration. Comparisons included insurance status, hemoglobin A1c, treatment, coexisting conditions, screening, and healthcare use.
resultsOf 1694 participants, 5% (n = 87) were enrolled in cyber school. Youth enrolled in cyber school were predominantly white (89%), female (60%), adolescents (median 15.2 years) with type 1 diabetes (91%). Youth with type 2 diabetes were excluded from analyses owing to the small sample (n = 7). Public insurance was more common among youth enrolled in cyber school (P = .005). Youth in cyber school had higher mean hemoglobin A1c, 9.1 ± 1.8% (76 ± 20 mmol/mol) vs 8.3 ± 1.2% (67 ± 13 mmol/mol) (P = .003), lower insulin pump use (OR, 0.36; 95% CI, 0.18-0.73), and more mental health conditions (OR, 4.48; 95% CI, 1.94-10.35) compared with peers in traditional schools. Youth in cyber school were less likely to have recommended vision (OR, 0.34; 95% CI, 0.15-0.75) and dental (OR, 0.33; 95% CI, 0.15-0.75) evaluations. The relationship between hemoglobin A1c and cyber school persisted after adjusting for insurance status, pump use, and mental health conditions (P = .02). Similar trends were observed for participants with type 2 diabetes.
conclusionsYouth with diabetes in cyber school may be a high-risk population. Understanding the potential impact of cyber school-related factors on health may encourage additional provider/system/school supports for these patients.
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Registered trials
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